SlideShare uma empresa Scribd logo
1 de 47
Baixar para ler offline
Kuinka muuttaa kävijät rahaksi?

    KONVERSIO-OPTIMOINTI


1
Mitä tarkoittaa konversio?

                                         ―When a user completes a desired action on
                                         your site, such as a purchase or request for
    ―In internet marketing,              information. A conversion is the desired end
    conversion rate is the ratio of      result from a user visiting your site.‖
    visitors who convert casual          (Google)
    content views or website visits
    into desired actions based on
    subtle or direct requests from
    marketers, advertisers, and
    content creators. If the prospect
    has visited a marketer‘s web site,                                             vain pieni
    examples of conversion actions                                                 osa tekee
    might include making an online                                                 mitä haluat!
    purchase or submitting a form to
    request additional information.‖
    (Wikipedia 2012)



    vrt.   AIDA
2
Optimoinnin monet kasvot

    •   konversio-optimointi
         –   hakukoneoptimointi (PageRank)
         –   mainonnan optimointi
                                              erit. A/B-testit
         –   laskeutumissivun optimointi
         –   Facebook-optimointi (newsfeed optimization)
         –   jne. kaikki missä on algoritmi!
    •   konversioalttiuteen vaikuttaa esim.
         –   kellonaika (aamu vs. ilta)                just
                                                       wanted to
         –   kuukausi (esim. joulukuu)                 say hi!
         –   demografia, intentio
         –   tuotteet, tarve, halu, ostovalmius
         –   web design, käytettävyys, ostamisen houkuttelevuus
         –   kommunikaatiotyyli, selkeys, informatiivisuus
         –   jne.
3
Not all optimization is equal…


    ―Yes, we would love to live in a world in which
    everything could be fully optimized all at once, but
    unfortunately we live in a world of tradeoffs. These
    tradeoffs could be something as simple as time and/or
    resources. You may only have the resources to optimize
    a single step in a conversion process. Where will you
    start? Or as in the case of SEO and LPO (landing page
    optimization), you may be dealing with optimization
    strategies that contradict one another.‖
        Jos täytyy valita, mitä sinä optimoisit?
        Minkä optimoinnista saa parhaimman hyödyn?




4
Miksi konversio-optimointi?

    ―Frequently, when marketers target a pocket of customers that has shown
    spectacular lift in an ad campaign, they belatedly discover the behavior is
    not consistent. Online marketing response rates fluctuate widely from hour
    to hour, segment to segment and offer to offer.
    This phenomenon can be traced to the difficulty humans have separating
    chance events from real effects. Using the haystack process, at any given
    time marketers are limited to examining and drawing conclusions from
    small samples of data. However, psychologists (led by
    Kahneman and Tversky) have extensively documented tendencies which find
    spurious patterns in small samples, thereby explaining why poor decisions are
    made. Therefore, statistical methodologies can be leveraged to study large
    samples and mitigate the urge to see patterns where none exists.
    These methodologies, or ‗conversion optimization‘ methods, are then taken
    a step further to run in a real-time environment. The real-time data collection
    and subsequent messaging as a result, increases the scale and
    effectiveness of the online campaign.‖




5
CAC:n puolittaminen (Salminen 2012)

    As the number of visitors, and marketing budget spent to it,
    grows, conversion optimization becomes the most important
    investment. Let me demonstrate by a very simple example of
    two cases.

        Advertising spend: 100 000 money
        Visitors*: 400 000
        Cvr: 1%
        No. sales: 4000

        Advertising spend: 50 000 money
        Visitors*: 200 000
        Cvr: 2%
        No. sales: 4 000           * Avg. CPC 0.25 money



6
…the whole story

    Now, the cases provide the same number of sales, although the other one is spending double
    the amount for ads. But the question, from economic perspective, is this: Does the improvement
    of cvr by one %-point cost more or less than 50 000 money? In every case it costs less than
    that, which is the difference of advertising spends, it should be opted prior to increasing
    advertising budget. This is an economic decision: there is scarcity of budget which leads to
    desire to optimize efficiency and, finally, trade-offs between allocating investments (here:
    between advertising and conversion optimization, both parts of the same marketing budget).
    What my point is: THERE IS NO POINT IN DOUBLING MARKETING SPEND BEFORE
    ABILITY TO CONVERT HAS BEEN OPTIMIZED, as it leads to a sub-optimal allocation. In fact,
    by inserting real figures into this simple equation we can see how much it's worth to pay
    for conversion optimization service, should such a service be acquired.
           –    There is A LOT that can be done improve conversion rate, and we are only in the
                beginning. All efforts regarding the layout, features, and presentation of the website should
                serve the purpose. We would do well by taking a step towards A/B testing, not necessarily
                on the product level, since it's very cumbersome to execute, but by testing MAJOR things
                and their impact on conversion. For one, conventions are very necessary. Users have used
                to certain functions and positions (e.g. search box & shopping cart); we must adapt to these
                as well as possible, otherwise we create frustration and confusion. As the usability expert
                Jacob Nielsen says, users spend most of their time in sites other than yours.
    Key takeaways:
           1.   Need to find better ways to capture visitors and convert them FIRST to suspects and then
                sales.
           2.   Conversion optimization becomes more crucially when advertising is increased, and should
                be done BEFORE increasing such investments.
           3.   Conversion optimization can be done EITHER in-house (by applying A/B tests) OR by
                acquiring an expert service.
7
ABC-argumentti konversiosuhteen
    tärkeydestä (Nielsen 2008)
    a) ―In a multiplication, if you want to increase the outcome by a
       certain percentage, you can increase any of the factors by that
       percentage. It doesn‘t matter which factor is increased — the
       result will be the same.
    b) Thus, to double a site‟s business, you can double the number
       of unique visitors. However, this would be very expensive,
       requiring that you more than double the advertising budget
       (assuming you‘re already advertising under the most-promising
       keywords, and thus need to buy traffic from less promising or
       more expensive sources).
    c) Alternatively, you can double the conversion rate and achieve
       the same business improvement. It‘s still fairly cheap to double
       conversion rates, though it‘s not as cheap as it was, say, in 2000.
       According to our survey, spending 10% of your development
       budget on usability should improve your conversion rate by 83%.
       You can probably double the conversion rate by spending less
       than 15% of your development budget. In most cases, it‘s far
       cheaper to use 15% of your development budget than to more
8      than double your advertising budget.‖
Konversion käsite on suhteellinen


    ―…conversions are interpreted differently by individual
    marketers, advertisers, and content creators. To online
    retailers, for example, a successful conversion may
    constitute the [1] sale of a product to a consumer whose
    interest in the item was initially sparked by clicking a
    banner advertisement. To content creators, however, a
    successful conversion may refer to a [2] membership
    registration, [3] newsletter subscription, [4] software
    download, or other activity that occurs due to a subtle or
    direct request from the content creator for the visitor to take
    the action.‖ (Wikipedia 2012)


       Kaava:
                                                             entä per
                                                             asiakas?
9
Konversiotyypit ja mikrotransaktiot
         (Cooper 2010)
     Asiakkaalta voi saada

     • aikaa, huomiota
     • klikkauksia
     • yhteystiedot
     • laskutustiedot
     • hiukan rahaa (transaktio)
     • lisää rahaa (bundlaus)
     • vielä lisää rahaa (suhde)
     • puhelinsoittoja ja
       tapaamisia
     • kausisopimuksia
     • suositteluja

     Kuitenkin lopullisena
     tavoitteena on tietysti

             €,$,£
10
Internet-markkinoinnin ”toimintaputki”
     (funnel) (Salminen 2012)


     Level of
     behavior              click

                                                      Action :)
       Pre-click                        Post-click*
                                                      No action :(

          älä ainoastaan
          keskity tähän…


                           …vaan koko
                            putkeen




11
…after click                     konsistenssi




                 Question 1:              Question 2:                Question 3:
                 Where am I?              What can I                 Why should
                                          do here?                   I do it?
             •   (landing page                                      • kannustimet
                 optimization)            huom! linkit
                                          kilpailevat               • call to action
             •   tagline, header
             •   navigation (or not)      keskenään
                                          huomiosta ->                    “Think one
                                          vähemmän on
                                                                          goal, one
                                          parempi
                                                                          message,
     Problem of multiple         ―Homepages that must speak               one
     audiences?                  simultaneously to multiple audiences     action.”
                                 are notoriously difficult to optimize.
      break value               This is the main reason why you are
       propositions into         better off driving traffic to channel-
       different landing         specific landing pages whenever
       pages (channel,           possible.‖ (Grinkot 2009)
12     customer group,
       intention…)
Bounce rate on korkea. Mitä se kertoo
     sinulle?

     Voi olla useita syitä:
          1. designiin liittyvä yleinen ongelma (esim. navigaatio,
             layout)
          2. landing page on huono (esim. CTA:n puute)
          3. ihmisten luontainen tapa selata sivuja (switching
             behavior)
          4. kohdennukseen liittyvä ongelma (kohderyhmän ja
             arvolupauksen yhteensopivuus)




13
Konversiopolut (conversion funnel, ”path”)


                                           esim.
                                           liikenteen
                                           lähteen
                                           mukaan

                                           konversioiden
                                           määrät




                                            eri lähteiden
                                            tuomat tulot




14
Konversion kustannus (cost of conversion)


                           Bännerit            Hakukone     Facebook
       Kävijöiden          1000                1000         1000
       määrä
       CPC (CTR)           1 (0,5 %)           0,25 (5 %)   0,50 (0,05 %)
       Total cost (€)      1000                250          500
       CVR (ostot)         2 % (20)            2 % (20)     2 % (20)
       COC/CPS             50                  12,50        25


     Huom!
        •    CTR:t viitteellisiä, mutta tyypillisiä
        •    CTR ei suoraan vaikuta
             konversiokustannukseen, epäsuorasti kylläkin
        •    mitä tapahtuu kun muutetaan CVR:ää 1 %-
             yks. verran?


15
Konversion kustannus (cost of conversion)


                         Bännerit            Hakukone           Facebook
       Kävijöiden        1000                1000               1000
       määrä
       CPC (CTR)         1 (0,5 %)           0,25 (5 %)         0,50 (0,05 %)
       Cost (€)          1000                250                500
       CVR (ostot)       3 % (30)           3 % (30 50%)      3 % (30)
       COC/CPS           33                  8,30 ( 33 %)      17


     Huom!                                             “Compounding effect of
                                                       micro-gains”
        Konversiokustannukseen vaikuttaa paitsi
        kävijöiden hankinnan hinta, myös kävijöiden          Pienet parannukset
        laatu (ostovalmius) ja sivun                         yksittäisissä konversion
        konversiopotentiaali, jotka yhdessä                  vaiheissa voivat johtaa
        muodostavat konv.-%:n.                               suureen
                                                             kokonaisvaikutukseen
                                                             kertautumisen vuoksi.
16
”Kanavamotivaation” ongelma
     konversiossa (Marketing Experiments 2010)
     ―The PPC traffic was considerably more motivated than the external
     banner traffic, and though the new process significantly lowered Friction in
     the process, there was not much to address the specific motivations of
     incoming visitors.
          – Though cutting the amount of steps in a process increased the
              conversion rate for every channel tested, there was a significant
              difference in gains made from channel to channel. As we have
              taught, not all channels will convert at the same rate because
              they represent different demographics at different places in the
              conversation. The PPC traffic was considerably more motivated than
              the external banner traffic, and though the new process significantly
              lowered Friction in the process, there was not much to address the
              specific motivations of incoming visitors.‖
           testaa eri kanavia, mieti tavoitteita
           ongelma ilmenee selkeimmin, kun yrität skaalata (minä tahansa
              hetkenä on vain rajattu joukko ihmisiä, jotka ovat valmiita
              ostamaan; muiden kohdalla on päästävä valintajoukkoon tai
              luotava tarve)


17
Kanavat konvertoivat eri teholla (cost of
     conversion)
                   Bännerit    Hakukone     Facebook
     Kävijöiden    1000        1000         1000
     määrä
     CPC (CTR)     1 (0,5 %)   0,25 (5 %)   0,50 (0,05 %)
     Cost (€)      1000        250          500
     CVR (ostot)   1 % (10)    1 % (10)     3 % (30)
     COC/CPS       100         25           17



       entä myöhäinen
       konversio?




18
Muita haasteita (Mikä kampanja konvertoi
     parhaiten?)

     •   ostamisen lykkääminen (deferred buying behavior)
          – kun cookien teho häviää, ‖kadotetaan‖ asiakas
          – voidaan ehkäistä rekisteröinneillä
     •   attribuutio-ongelma (iSales-keissi)
          – sitä monimutkaisempi, mitä enemmän
            markkinointikanavia JA myyntikanavia
          – jos on sekä online- että offline-myyntipiste JA online-
            ja offline-markkinointia, on lähes mahdotonta
            diskreettisesti erottaa ratkaiseva kosketus
          – huom! ensikosketus ei ole aina ratkaiseva
          – kyseessä on siis jonkinlainen todennäköisyysmalli,
            jonka mukaan asiakkaat painottavat eri kanavista
            tulevia viestejä ostopäätöksen tekemisessä

19
Kosketusten painottaminen (Burka 2011)


     ‖There are several ways to allocate success across
     different online marketing channels. The easiest method
     is to weight each channel equally, leaving yourself the
     option of taking the frequency of each channel‘s
     exposure into account, as well as the placement of each
     in the purchase path (first, last or middle touch point).
        – For example, if someone has been exposed to a
          display ad five times in a seven touch point path, then
          the credit given to display can be weighted higher. Or if
          display was the first touch point, you could make the
          case that this channel introduced someone to the
          brand and should be given more credit than the other
          channels. In addition, it would make sense to weight
          the data points based on whether they result in new
          customers or existing customers.‖
20
Last touch bias (Salminen 2012)


     •   käytössä olevalla analytiikkatyökalulla pystytään
         erottamaan vain viimeinen, konversion tuonut
         kosketus
          – ollaan siis sokeita kaikille aiemmille kosketuksille
     •   tämän perusteella päätellään että kampanja B (last
         touch) sai aikaan konversion, vaikka ainakin osa
         konversion arvosta pitäisi sijoittaa aikaisemmille
         kosketuksille (esim. kampanja A, first touch)
     •   tuloksena on attribuutiovirhe, ‖last touch bias‖
          – seurauksena voidaan tehdä huonoja
            allokointipäätöksiä




21
Konversio-optimoinnin osa-alueet (Salminen
     2012)


     landing page           landing
                              page          bounce
     optimization

             kannustimet               esteet

     shopping              ostoskori
     cart recovery
             kannustimet               esteet

     lifecycle             loyalty          churn
     marketing




22
Miksi asiakas hylkää ostoskorin?


     •   tilausprosessin vaikeus
     •   maksu- tai toimitustapojen puute
     •   tuote ei heti saatavilla
     •   tiedon puute (toimitusaika, tuote, yritys…)
     •   pettymys esim. postituskuluihin
     •   vertailu eri myyjien välillä
          – ―Online-savvy consumers are using shopping carts to
            browse more than to buy. Knowing that shipping costs,
            handling charges, sales tax, product availability, and
            delivery methods vary widely among online retailers,
            customers use shopping carts to compare vendors.‖



23
Asiakas laittaa tuotteen ostoskoriin, mutta
     lähtee sivulta. Mitä teet?

     •   Ensin täytyy TIETÄÄ asiasta (analytiikka).
     •   Vaihtoehdot:
          1. kysy heti miksi (event-trigger?)
          2. lähetä sähköpostia (tunnistaminen, rekisteröinti?)
          3. uudelleenkohdista mainontaa (retargeting)




24
5 vinkkiä ostoskorin pelastamiseen
     (Marketing Experiments 2005)
     1.   Collect email address (and possibly also the phone number) in the first
          step of your order process so you are able to contact customers if they
          do not complete their orders. This may seem obvious, but many site
          owners overlook this simple step that enables the whole cart-recovery
          process.
     2.   Many abandoned carts are caused by problems or frustrations with the
          order process. Your potential customers will be much more likely to
          respond if they sense that you are genuinely interested in helping them.
          Let them feel your authentic concern.
     3.   It is important that you respond as soon as possible after the carts are
          abandoned. The more time that passes, the more likely customers will
          forget about your offer. If possible, automate your first message so that it
          will be sent out within minutes of the abandoned order.
     4.   If possible, design your email messages so that a link will take the
          customer back to the abandoned cart with the item or items already
          added and as much information as possible pre-populated in the
          order form.
     5.   Utilize incentives to encourage potential customers to come back to
          your site and complete their orders.
25
Shopping cart recovery                          Second Email:
                                                         Hello:
         (Marketing Ex. 2005)                            We are not sure if you received our previous email,
                                                         but this is our last attempt to contact you.
                                                         ____ days ago, you started to place an order at
     First Email:
                                                         __________. Somehow, you were unable to
     Hello:                                              complete the form.
     Thank you for visiting ________.                    Was the problem on our end or on yours? Is there
     We noticed that you did not complete your order,    any way we can help?
     and we wanted to do everything we can to help.      INCENTIVE
     To complete your order in two minutes or less,      (Example: We apologize for any difficulty you may
                                                         have had with our ordering system. Our customer
     just visit our one-page, simple order form:
                                                         service manager has approved a special price of
     LINK                                                $19.95 if you would like to give us one more
     Product or service benefits should go here.         chance.)
     If you have any questions about our                 There are two ways to complete your order in two
     products/services, please contact us using one of   minutes or less:
     the following methods:                              Use this link to visit our one-page, simple order
                                                         form:
     PHONE NUMBER
                                                         LINK
     EMAIL ADDRESS                                       Call (toll-free) 800-555-5555. We are standing by to
     WEBSITE ADDRESS                                     answer your questions.
     Please let us know if there is any other way we     If you are not satisfied with your purchase, we will
     can help.                                           give you a complete refund, no questions asked.
     Thanks,                                             Please let us know if there is any other way we can
                                                         help.
     Personal Signature
                                                         Thanks,
     P.S. Use the postscript to provide an additional    Personal Signature
     incentive or notice of a money-back guarantee.      P.S. If you do not respond to this email, we will
     If you want your name removed from our records,     remove your information from our servers. There is
     please click here:                                  no need to unsubscribe.
     SIMPLE UNSUBSCRIBE INSTRUCTIONS                     If you want your name removed from our records
26                                                       immediately, please click here:
                                                         SIMPLE UNSUBSCRIBE INSTRUCTIONS
Checkout-kannustus (”Olet melkein siellä!”)


     ―Many marketers assume that the customer has
     enough momentum once clicking ‗add to cart‘ to make it
     through the entire checkout process,‖ he stated, ―That‘s
     a lot like expecting a fish to reel itself in once it‘s been
     hooked.‖ The lack of value communication in the
     checkout process is one of the biggest impediments to
     conversion in the checkout process that our researchers
     come across when optimizing the funnel process.
         McGlaughlin stated that the value proposition must be
         expressed continuously for every step/action you require
         of the visitor. Marketers must never assume your
         customer is completely sold in the cart.‖



27
Konversiosuunnittelun KoRKo-malli
          (Salminen 2012, wp.)

                                 Konversio-
                                  design

                  Rakenne                              Sisältö
                                    A/B
              1. käytettävyys                   1.    luotettavuus              •    referenssit
              2. design (layout)                      (trust indicators)        •    suositukset
              3. linkkiarkkitehtuuri            2.    informatiivisuus          •    brand
                 (clutter, navigation)          3.    helppous                       spillovers

     •   konventiot
     •   autenttisuus
     •   aktiviteetti        Konsistenssi,                     •   samat kuvat,
                             Relevanssi,                           sama ilme
                                                                                       oikea
                                                               •   sama arvolupaus
                             Kongruenssi                                               kohderyhmä
                                                               •   jatkuva
                                          friction reduction
                                                                   vakuuttaminen

28
Trust indicators (social proof)
                                             call-to-
                                             action


     Facebook-                                  suositukset/
     tykkäykset                                 asiakaspalaute




      kuvat




                                               Sertifikaatit/
                  copyteksti
                                             brändikytkökset
29
konventio = elementti ja
     Pyri konventioon   sijainti, johon asiakas on
                        tottunut muissa
                        verkkokaupoissa (ts.
                        vallitseva käytäntö)

                        ostoskori yläoikealla

                         logo ylävasemmalla


                         kategoriat vasen laita

                           tuotteet keskellä

                           kampanjabänneri
                           tuotteiden yläpuolella


                           haku yläoikealla?

                             yhteystiedot horis.
                             valikossa?

                           Älä poikkea
                           konventioista
                           ilman hyvää syytä!
                           (herättää
                           hämmennystä)
30
”Friction overload” (Sutton 2011, suom. ‟kitka‟)
     “Friction is the psychological resistance to elements in the email
            – Friction is caused by forcing subscribers to think or act.
              Longer copy takes longer to read and therefore increases
              friction. Using several calls-to-action (instead of one)
              increases friction by forcing subscribers to weigh several
              options.
     Every email has friction (subscribers have to read and click on
     something), but it must be minimized. Common causes of ―friction
     overload‖ in emails include:
          – Multiple images that compete for attention
          – Non-linear eye path in the layout
          – Multiple calls-to-action from which to choose
          – Long or confusing copy
     Excessive friction is also generated by emails that do not follow the
     typical subscriber‘s thought process. For example, the call-to-action
     should not be presented until the subscriber understands why they‘ve
     received the message and why they should respond. Otherwise, the
     email is calling them to act before they see a clear benefit.‖
31
Suositukset (social proof)

     kohdennettu
     suositus perustuu
     asiakkaan toimiin

                                   arvostelut
                                   kertovat
                                   tuotteen
                                   laadusta




     ostofrekvenssi
     kertoo muiden
     asiakkaiden
     valinnoista
32
Trust seals & brand solicits (reference
     proof)




                                        referenssi-
                                        asiakkaat,
                                        brand spill over
                                        effects




33
Trust indicator: appearance of activity
         (Bustos 2010)
     live-päivitys sivun
                                 ‖Though someone may not buy an item
     tapahtumista                just because someone else has just
                                 snapped it up, it does give the
                                 appearance of activity on the site. In
                                 traditional retail, the busier a store is, the
                                 more people it will attract. When I worked
                                 in a shoe store, we were told to ‗make a
                                 mess‘ when the store was ‗dead‘ to give
                                 the appearance that something was
                                 happening in the store. Otherwise, people
                                 will look in and walk right by. It works.
                                 Bubblelicious gives the sense that
                                 Backcountry is an active site that many
                                 other people are shopping right now –
                                 which may have the same effect.‖




34
Relevanssi: autenttinen kuvamateriaali



                               Kuvapankista




      Aitoja
      kuvankaappauksia




35
Kuvien autenttisuus


     ―Marketers often use stock images that imply nothing
     about the value of the offer, settling for ‗pretty‘ images
     that make no clear connection to the offer‘s core value.
     Remember, images that say nothing are worth
     nothing. The force of an image increases with its
     authenticity. Images can bring a realism that reduces
     the „virtual distance‟ between an offer‟s value and
     the recipient‟s perception of that value. Therefore,
     marketers must attempt to find images that help the
     visitor see and experience the core value of the
     product.‖ (Marketing Experiments 2010)




36
”Marketese language” – vältä tätä!

                                            •   Spesifisyys.
                                                ‖industry leader‖,
                                                ‖best data‖ – BS!
                                            •   epäselviä
                                                kvalitatiivisia väitteitä
                                            •   informaatioarvo nolla

                                            •   Tyyli (tone).
                                                ‖Your hunt is
                                                over!‖
                                                tunnetaanko
                                                me?
                                            •   Valinnanvara
                                                konktoinnissa,
                                                pushy?

                                                                      WTF?
      ”MA8 tarjoaa laadukkaita ratkaisuja
      digitaalisten järjestelmien
      ymmärtämisen strategisessa
      markkinointikontekstissa.”
37
Arvolupausten konkretisointi


     ‖To offer an example, commonly used PPC terms such
     as ‗biggest‘ mean nothing out of context. Instead of
     wasting ad space with unsubstantiated generalities,
     choose to tell the user, ‗106,000+ new users in 2010.‘
     Don‘t tell the user that something offers ‗fastest
     downloads‘ when it is more effective to say, ‗Download
     time is X seconds.‘ Such superlatives offer the user no
     information that would encourage a clickthrough.‖
     (Marketing Experiments 2011)

      pidä huolta, että tarjoat informaatioarvoa!
      “Asiakas ei ole tyhmä. Hän on vaimosi.” (Ogilvy)


38
Mielestäsi landing page A on parempi, Joni
      sanoo B:n olevan parempi. Mitä tehdään?

                           Testataan ja katsotaan
                           kumpi voitti.




               kontrolliversio (A)                  testiversio (B)
                                                    +3,6 %

     Testin rakenne:
     Muutetaan ainoastaan
     toimintakehoite (call-to-
     action), mitä opitaan?
39
A/B testauksessa huomioitavaa


     • itsenäiset ja riippuvat muuttujat (minkä vaikutusta
       mihin testataan?)
     • peräkkäinen (sequential) vai rinnakkainen (split) testi
     • tarpeeksi dataa (merkitsevyys)
     • hyvä olla hypoteesi (joidenkin mielestä aina)
     • tuloksia käytetään hyödyksi jatkokampanjoissa
     Haasteet (muk. Arento 2010)
         –   syklisuus (keston oltava riittävä)
         –   trendisyys (testauksen on hyvä olla jatkuvaa)
         –   harhaisuus (testi pitäisi toistaa)
         –   muista kanavamotivaatio
         –   analysis paralysis (koita aloittaa RADIKAALEISTA
             muutoksista)
40
Esimerkki A/B-testauksesta uutiskirjeen
     testauksessa
     ―As a simple example, a company with a customer database of 2000
     people decides to create an email campaign with a discount code in
     order to generate sales through its website. It creates an email and
     then modifies the Call To Action (the part of the copy which
     encourages customers to do something - in the case of a sales
     campaign, make a purchase).
           To 1000 people it sends the email with the Call To Action stating
           ‗Offer ends this Saturday! Use code A1‘, and to another 1000
           people it sends the email with the Call To Action stating ‗Limited
           time offer! Use code B1‘. All other elements of the email‘s copy
           and layout are identical.
     The company then monitors which campaign has the highest
     success rate by analysing the use of the promotional codes. The
     email using the code A1 has a 5% response rate (50 of the 1000
     people emailed used the code to buy a product), and the email using
     the code B1 has a 3% response rate (30 of the recipients used the
     code to buy a product). The company therefore determines that in
     this instance, the first Call To Action is more effective and will
     use it in future sales campaigns.‖
41
Testaamisen tavoite on ymmärtää miksi!


     ―Marketers should not assume that a popular page
     design will be effective for every situation. The problem
     with ‗best practices‘ or ‗best designs‘ is that they rarely
     work across the board. It is more important to move
     beyond understanding the ‗what‘ of page layout, and use
     testing to attain the deeper understanding of „why‟.‖
     (Marketing Experiments 2010)
         voit aina kyseenalaistaa ―lait‖
         jotta ymmärtää, mikä asia toimii missä tilanteessa, on
          hyvä ymmärtää syy/mekanismi/logiikka; muuten saatat
          yllättyä




42
Yhdenmukaisuuden periaate (principle of
     congruence)

     ―Essentially, this principle states that for a value
     proposition to be effectively expressed on a Web page,
     each element of that page must either state or
     support the value proposition. This means that not
     only do headlines and copy need to communicate value,
     but images, buttons, navigation, and even the site
     functionality must be saying something about the value
     of the offer.‖ (Marketing Experiments 2010)




43
Designin ja konversion tradeoff?


     ―On the Web there is often a false dichotomy between
     aesthetics and optimization. Some marketers desire a
     site that ―looks nice‖ but is not necessarily optimized for
     conversion. Other marketers care less about design and
     just want a ―site that sells.‖ But, as is usually the case
     with such marketing tensions, the answer is not one of
     competition, but cooperation. Solving this tension is a
     matter of assigning priority, and as the following
     experiment clearly illustrates, strategy should take
     priority over style.‖ (Marketing Experiments 2010)
         (muista myös designin ja hakukoneoptimoinnin oletettu
         tradeoff)



44
Tavoitteena kaunis sivu? (Designer’s fallacy)

     ―Marketers must understand that an aesthetically
     appealing page does not necessarily convert better
     than an aesthetically unappealing page. Optimization
     strategy will almost always trump style when it comes to
     visitor response.‖
         – toisin sanoen, ruma sivu voi myydä paremmin kuin
           ―hieno‖; joskus esteettisyyden lisääminen ovi johtaa
           konversion alenemiseen
         – esim. boo.com, fruugo
     ―This does not mean that aesthetic design has no place
     in optimization. Branding, images and the like can
     help conversion when used appropriately, but there
     is often a disproportionate emphasis placed on the style
     of design.‖ (Correll 2011)

45
”Lojaaliusmaksimi” (totta vai tarua?)


     ―The traditional arguments from non-Internet marketing continue to
     hold:
          it is almost always much cheaper to retain satisfied customers
          and turn them into repeat business than it is to attract a new,
          one-time customer.
     The first time you do business with somebody, the net result may
     well be a loss because of the huge cost of attracting new customers
     […]. Also, the first order is likely small because the customer wants
     to test the waters before committing to large deals on an ongoing
     basis. Keeping the customer in the fold is cheaper than advertising
     for new customers, and repeat orders are likely be progressively
     larger. Combine cheaper costs and larger orders and you find that
     repeat customers generate most of your profits. This has been
     proven again and again in the ‗real world‘ and is almost certainly true
     on the Internet as well.‖ (Nielsen 1997)

       konversio < retentio? (CVR:n
46
       ja CLV:n suhde?)
Stay tuned!




47

Mais conteúdo relacionado

Mais procurados

Part2 Conversion Optimizer
Part2  Conversion OptimizerPart2  Conversion Optimizer
Part2 Conversion Optimizerguest1c6349
 
Calculating ROI on Blogging
Calculating ROI on BloggingCalculating ROI on Blogging
Calculating ROI on BloggingCompendium
 
DIBS: Webinar for dummies
DIBS: Webinar for dummiesDIBS: Webinar for dummies
DIBS: Webinar for dummiesÅsa Jonsson
 
Closing the digital personalisation gap
Closing the digital personalisation gapClosing the digital personalisation gap
Closing the digital personalisation gap123-reg
 
Lecture 5 customer relationships
Lecture 5   customer relationshipsLecture 5   customer relationships
Lecture 5 customer relationshipsStanford University
 
MyVideoTalk
MyVideoTalkMyVideoTalk
MyVideoTalkvideoman
 
Personalisation to individualisation retail deck
Personalisation to individualisation retail deckPersonalisation to individualisation retail deck
Personalisation to individualisation retail deckCatchi
 
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales Funnel
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales FunnelToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales Funnel
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales FunnelDOZ.com
 
[Webinar February 2012] Online Merchandising: Setting up Your Store for Success
[Webinar February 2012] Online Merchandising: Setting up Your Store for Success[Webinar February 2012] Online Merchandising: Setting up Your Store for Success
[Webinar February 2012] Online Merchandising: Setting up Your Store for SuccessGroove Commerce
 
Automotive Landing Page Evaluation Dealer Webinar
Automotive Landing Page Evaluation Dealer WebinarAutomotive Landing Page Evaluation Dealer Webinar
Automotive Landing Page Evaluation Dealer WebinarRalph Paglia
 
Startup Metrics for Pirates (Nov 2012)
Startup Metrics for Pirates (Nov 2012)Startup Metrics for Pirates (Nov 2012)
Startup Metrics for Pirates (Nov 2012)Dave McClure
 
Value Proposition - Entrepreneurship 101
Value Proposition - Entrepreneurship 101Value Proposition - Entrepreneurship 101
Value Proposition - Entrepreneurship 101MaRS Discovery District
 
Webmarketing123 turn your website into a revenue machine.deck
Webmarketing123 turn your website into a revenue machine.deckWebmarketing123 turn your website into a revenue machine.deck
Webmarketing123 turn your website into a revenue machine.deckDemandWave
 
Elite SEM EO Presentation
Elite SEM EO PresentationElite SEM EO Presentation
Elite SEM EO PresentationElite SEM Inc
 
Make Your Website Sell! Chamber Of Commerce Presentation
Make Your Website Sell!   Chamber Of Commerce PresentationMake Your Website Sell!   Chamber Of Commerce Presentation
Make Your Website Sell! Chamber Of Commerce PresentationMorgan Wylie
 
Integrating Marketing Innovation
Integrating Marketing InnovationIntegrating Marketing Innovation
Integrating Marketing Innovationcurtismaine
 
Personalisation to improve customer experience
Personalisation to improve customer experiencePersonalisation to improve customer experience
Personalisation to improve customer experienceEpiserver
 
SEM NYU Presentation
SEM NYU PresentationSEM NYU Presentation
SEM NYU PresentationElite SEM Inc
 
Holistic Data Plan
Holistic Data PlanHolistic Data Plan
Holistic Data PlanDatalicious
 

Mais procurados (20)

Part2 Conversion Optimizer
Part2  Conversion OptimizerPart2  Conversion Optimizer
Part2 Conversion Optimizer
 
Day 1
Day 1Day 1
Day 1
 
Calculating ROI on Blogging
Calculating ROI on BloggingCalculating ROI on Blogging
Calculating ROI on Blogging
 
DIBS: Webinar for dummies
DIBS: Webinar for dummiesDIBS: Webinar for dummies
DIBS: Webinar for dummies
 
Closing the digital personalisation gap
Closing the digital personalisation gapClosing the digital personalisation gap
Closing the digital personalisation gap
 
Lecture 5 customer relationships
Lecture 5   customer relationshipsLecture 5   customer relationships
Lecture 5 customer relationships
 
MyVideoTalk
MyVideoTalkMyVideoTalk
MyVideoTalk
 
Personalisation to individualisation retail deck
Personalisation to individualisation retail deckPersonalisation to individualisation retail deck
Personalisation to individualisation retail deck
 
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales Funnel
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales FunnelToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales Funnel
ToFu, MoFu, BoFu: Content Marketing and Its Role in the Sales Funnel
 
[Webinar February 2012] Online Merchandising: Setting up Your Store for Success
[Webinar February 2012] Online Merchandising: Setting up Your Store for Success[Webinar February 2012] Online Merchandising: Setting up Your Store for Success
[Webinar February 2012] Online Merchandising: Setting up Your Store for Success
 
Automotive Landing Page Evaluation Dealer Webinar
Automotive Landing Page Evaluation Dealer WebinarAutomotive Landing Page Evaluation Dealer Webinar
Automotive Landing Page Evaluation Dealer Webinar
 
Startup Metrics for Pirates (Nov 2012)
Startup Metrics for Pirates (Nov 2012)Startup Metrics for Pirates (Nov 2012)
Startup Metrics for Pirates (Nov 2012)
 
Value Proposition - Entrepreneurship 101
Value Proposition - Entrepreneurship 101Value Proposition - Entrepreneurship 101
Value Proposition - Entrepreneurship 101
 
Webmarketing123 turn your website into a revenue machine.deck
Webmarketing123 turn your website into a revenue machine.deckWebmarketing123 turn your website into a revenue machine.deck
Webmarketing123 turn your website into a revenue machine.deck
 
Elite SEM EO Presentation
Elite SEM EO PresentationElite SEM EO Presentation
Elite SEM EO Presentation
 
Make Your Website Sell! Chamber Of Commerce Presentation
Make Your Website Sell!   Chamber Of Commerce PresentationMake Your Website Sell!   Chamber Of Commerce Presentation
Make Your Website Sell! Chamber Of Commerce Presentation
 
Integrating Marketing Innovation
Integrating Marketing InnovationIntegrating Marketing Innovation
Integrating Marketing Innovation
 
Personalisation to improve customer experience
Personalisation to improve customer experiencePersonalisation to improve customer experience
Personalisation to improve customer experience
 
SEM NYU Presentation
SEM NYU PresentationSEM NYU Presentation
SEM NYU Presentation
 
Holistic Data Plan
Holistic Data PlanHolistic Data Plan
Holistic Data Plan
 

Semelhante a MA8 Digitaalinen markkinointi (luento 4)

MA8 Digitaalinen markkinointi (luento 5)
MA8 Digitaalinen markkinointi (luento 5)MA8 Digitaalinen markkinointi (luento 5)
MA8 Digitaalinen markkinointi (luento 5)Joni Salminen
 
Analyze This -All Things Analytics
Analyze This -All Things AnalyticsAnalyze This -All Things Analytics
Analyze This -All Things AnalyticsCarole Mahoney
 
Creating a social media strategy for a tourism business | Block 1: Basics of ...
Creating a social media strategy for a tourism business | Block 1: Basics of ...Creating a social media strategy for a tourism business | Block 1: Basics of ...
Creating a social media strategy for a tourism business | Block 1: Basics of ...Francisco Hernandez-Marcos
 
Post Click Marketing: Optimizing Conversions
Post Click Marketing: Optimizing ConversionsPost Click Marketing: Optimizing Conversions
Post Click Marketing: Optimizing ConversionsAdam Proehl
 
Double Your Conversions in 30 Days
Double Your Conversions in 30 DaysDouble Your Conversions in 30 Days
Double Your Conversions in 30 DaysAleksejs Ivanovs
 
Optimizing Your Digital Marketing Campaigns
Optimizing Your Digital Marketing CampaignsOptimizing Your Digital Marketing Campaigns
Optimizing Your Digital Marketing CampaignsIdea to IPO
 
Digital analytics: Optimization (Lecture 10)
Digital analytics: Optimization (Lecture 10)Digital analytics: Optimization (Lecture 10)
Digital analytics: Optimization (Lecture 10)Joni Salminen
 
PHX Media Labs Cybertising ebook
PHX Media Labs Cybertising ebookPHX Media Labs Cybertising ebook
PHX Media Labs Cybertising ebookPHX Media Labs
 
2019-08 Digital Marketing Tools - August 2019
2019-08 Digital Marketing Tools - August 20192019-08 Digital Marketing Tools - August 2019
2019-08 Digital Marketing Tools - August 2019Nick Nicholls
 
Business case for site search
Business case for site searchBusiness case for site search
Business case for site searchEmpathyBroker
 
Online Marketing from the Fringes - DreamForce
Online Marketing from the Fringes - DreamForceOnline Marketing from the Fringes - DreamForce
Online Marketing from the Fringes - DreamForceJoanna Lord
 
30 *Free* Tools to Measure Your Social Media Effectiveness
30 *Free* Tools to Measure Your Social Media Effectiveness30 *Free* Tools to Measure Your Social Media Effectiveness
30 *Free* Tools to Measure Your Social Media EffectivenessNordicClick Interactive
 
Introduction to Conversion Rate Optimisation
Introduction to Conversion Rate OptimisationIntroduction to Conversion Rate Optimisation
Introduction to Conversion Rate OptimisationRethink Marketing
 
Document from Aswin Unni Puthuparambil-5.pptx
Document from Aswin Unni Puthuparambil-5.pptxDocument from Aswin Unni Puthuparambil-5.pptx
Document from Aswin Unni Puthuparambil-5.pptxSibyJames1
 
How To Predict Your SEO Success: A 5-Step Formula To Help You Win
How To Predict Your SEO Success: A 5-Step Formula To Help You WinHow To Predict Your SEO Success: A 5-Step Formula To Help You Win
How To Predict Your SEO Success: A 5-Step Formula To Help You WinSearch Engine Journal
 
Internet Marketing Presentation
Internet Marketing PresentationInternet Marketing Presentation
Internet Marketing Presentationmervesargin
 
Internet marketing groups
Internet marketing   groupsInternet marketing   groups
Internet marketing groupsmervesargin
 

Semelhante a MA8 Digitaalinen markkinointi (luento 4) (20)

How to optimise your conversation rate?
How to optimise your conversation rate?How to optimise your conversation rate?
How to optimise your conversation rate?
 
MA8 Digitaalinen markkinointi (luento 5)
MA8 Digitaalinen markkinointi (luento 5)MA8 Digitaalinen markkinointi (luento 5)
MA8 Digitaalinen markkinointi (luento 5)
 
Analyze This -All Things Analytics
Analyze This -All Things AnalyticsAnalyze This -All Things Analytics
Analyze This -All Things Analytics
 
Creating a social media strategy for a tourism business | Block 1: Basics of ...
Creating a social media strategy for a tourism business | Block 1: Basics of ...Creating a social media strategy for a tourism business | Block 1: Basics of ...
Creating a social media strategy for a tourism business | Block 1: Basics of ...
 
Post Click Marketing: Optimizing Conversions
Post Click Marketing: Optimizing ConversionsPost Click Marketing: Optimizing Conversions
Post Click Marketing: Optimizing Conversions
 
Double Your Conversions in 30 Days
Double Your Conversions in 30 DaysDouble Your Conversions in 30 Days
Double Your Conversions in 30 Days
 
Optimizing Your Digital Marketing Campaigns
Optimizing Your Digital Marketing CampaignsOptimizing Your Digital Marketing Campaigns
Optimizing Your Digital Marketing Campaigns
 
Digital analytics: Optimization (Lecture 10)
Digital analytics: Optimization (Lecture 10)Digital analytics: Optimization (Lecture 10)
Digital analytics: Optimization (Lecture 10)
 
PHX Media Labs Cybertising ebook
PHX Media Labs Cybertising ebookPHX Media Labs Cybertising ebook
PHX Media Labs Cybertising ebook
 
Online Marketing
Online MarketingOnline Marketing
Online Marketing
 
2019-08 Digital Marketing Tools - August 2019
2019-08 Digital Marketing Tools - August 20192019-08 Digital Marketing Tools - August 2019
2019-08 Digital Marketing Tools - August 2019
 
Business case for site search
Business case for site searchBusiness case for site search
Business case for site search
 
Web Marketing Success 2012
Web Marketing Success 2012Web Marketing Success 2012
Web Marketing Success 2012
 
Online Marketing from the Fringes - DreamForce
Online Marketing from the Fringes - DreamForceOnline Marketing from the Fringes - DreamForce
Online Marketing from the Fringes - DreamForce
 
30 *Free* Tools to Measure Your Social Media Effectiveness
30 *Free* Tools to Measure Your Social Media Effectiveness30 *Free* Tools to Measure Your Social Media Effectiveness
30 *Free* Tools to Measure Your Social Media Effectiveness
 
Introduction to Conversion Rate Optimisation
Introduction to Conversion Rate OptimisationIntroduction to Conversion Rate Optimisation
Introduction to Conversion Rate Optimisation
 
Document from Aswin Unni Puthuparambil-5.pptx
Document from Aswin Unni Puthuparambil-5.pptxDocument from Aswin Unni Puthuparambil-5.pptx
Document from Aswin Unni Puthuparambil-5.pptx
 
How To Predict Your SEO Success: A 5-Step Formula To Help You Win
How To Predict Your SEO Success: A 5-Step Formula To Help You WinHow To Predict Your SEO Success: A 5-Step Formula To Help You Win
How To Predict Your SEO Success: A 5-Step Formula To Help You Win
 
Internet Marketing Presentation
Internet Marketing PresentationInternet Marketing Presentation
Internet Marketing Presentation
 
Internet marketing groups
Internet marketing   groupsInternet marketing   groups
Internet marketing groups
 

Mais de Joni Salminen

Automatic Persona Generation: Introduction & Current Challenges
Automatic Persona Generation: Introduction & Current ChallengesAutomatic Persona Generation: Introduction & Current Challenges
Automatic Persona Generation: Introduction & Current ChallengesJoni Salminen
 
Five NLP Challenges in Data-Driven Personas
Five NLP Challenges in Data-Driven PersonasFive NLP Challenges in Data-Driven Personas
Five NLP Challenges in Data-Driven PersonasJoni Salminen
 
Problem of majority voting
Problem of majority votingProblem of majority voting
Problem of majority votingJoni Salminen
 
Persona Analytics: Progress Report and Road Ahead
Persona Analytics: Progress Report and Road AheadPersona Analytics: Progress Report and Road Ahead
Persona Analytics: Progress Report and Road AheadJoni Salminen
 
Enriching social media personas with personality traits
Enriching social media personas with personality traitsEnriching social media personas with personality traits
Enriching social media personas with personality traitsJoni Salminen
 
User Studies for APG: How to support system development with user feedback?
User Studies for APG: How to support system development with user feedback?User Studies for APG: How to support system development with user feedback?
User Studies for APG: How to support system development with user feedback?Joni Salminen
 
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...Joni Salminen
 
Research Roadmap for Automatic Persona Generation (2018)
Research Roadmap for Automatic Persona Generation (2018)Research Roadmap for Automatic Persona Generation (2018)
Research Roadmap for Automatic Persona Generation (2018)Joni Salminen
 
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...Joni Salminen
 
Determining Online Brand Reputation with Machine Learning from Social Media M...
Determining Online Brand Reputation with Machine Learning from Social Media M...Determining Online Brand Reputation with Machine Learning from Social Media M...
Determining Online Brand Reputation with Machine Learning from Social Media M...Joni Salminen
 
Is More Better?: Impact of Multiple Photos on Perception of Persona Profiles
Is More Better?: Impact of Multiple Photos on Perception of Persona ProfilesIs More Better?: Impact of Multiple Photos on Perception of Persona Profiles
Is More Better?: Impact of Multiple Photos on Perception of Persona ProfilesJoni Salminen
 
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...Joni Salminen
 
OSS-EBM: Open Source Software Entrepreneurial Business Modelling
OSS-EBM: Open Source Software Entrepreneurial Business ModellingOSS-EBM: Open Source Software Entrepreneurial Business Modelling
OSS-EBM: Open Source Software Entrepreneurial Business ModellingJoni Salminen
 
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...Joni Salminen
 
Tips for Scale Development: Evaluating Automatic Personas
Tips for Scale Development: Evaluating Automatic PersonasTips for Scale Development: Evaluating Automatic Personas
Tips for Scale Development: Evaluating Automatic PersonasJoni Salminen
 
Big Data, Small Personas: Research Agenda for Automatic Persona Generation
Big Data, Small Personas: Research Agenda for Automatic Persona GenerationBig Data, Small Personas: Research Agenda for Automatic Persona Generation
Big Data, Small Personas: Research Agenda for Automatic Persona GenerationJoni Salminen
 
Why do startups avoid difficult problems?
Why do startups avoid difficult problems?Why do startups avoid difficult problems?
Why do startups avoid difficult problems?Joni Salminen
 
Social Espionage: Drawing Benefit from Competitors’ Social Media Presence
Social Espionage: Drawing Benefit from Competitors’ Social Media PresenceSocial Espionage: Drawing Benefit from Competitors’ Social Media Presence
Social Espionage: Drawing Benefit from Competitors’ Social Media PresenceJoni Salminen
 
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)Joni Salminen
 
Social Media Marketing (Digital Marketing '15 @ Oulu University)
Social Media Marketing (Digital Marketing '15 @ Oulu University)Social Media Marketing (Digital Marketing '15 @ Oulu University)
Social Media Marketing (Digital Marketing '15 @ Oulu University)Joni Salminen
 

Mais de Joni Salminen (20)

Automatic Persona Generation: Introduction & Current Challenges
Automatic Persona Generation: Introduction & Current ChallengesAutomatic Persona Generation: Introduction & Current Challenges
Automatic Persona Generation: Introduction & Current Challenges
 
Five NLP Challenges in Data-Driven Personas
Five NLP Challenges in Data-Driven PersonasFive NLP Challenges in Data-Driven Personas
Five NLP Challenges in Data-Driven Personas
 
Problem of majority voting
Problem of majority votingProblem of majority voting
Problem of majority voting
 
Persona Analytics: Progress Report and Road Ahead
Persona Analytics: Progress Report and Road AheadPersona Analytics: Progress Report and Road Ahead
Persona Analytics: Progress Report and Road Ahead
 
Enriching social media personas with personality traits
Enriching social media personas with personality traitsEnriching social media personas with personality traits
Enriching social media personas with personality traits
 
User Studies for APG: How to support system development with user feedback?
User Studies for APG: How to support system development with user feedback?User Studies for APG: How to support system development with user feedback?
User Studies for APG: How to support system development with user feedback?
 
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...
Combining Behaviors and Demographics to Segment Online Audiences:Experiments ...
 
Research Roadmap for Automatic Persona Generation (2018)
Research Roadmap for Automatic Persona Generation (2018)Research Roadmap for Automatic Persona Generation (2018)
Research Roadmap for Automatic Persona Generation (2018)
 
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...
To Use Branded Keywords or Not? Rationale of Professional Search-engine Marke...
 
Determining Online Brand Reputation with Machine Learning from Social Media M...
Determining Online Brand Reputation with Machine Learning from Social Media M...Determining Online Brand Reputation with Machine Learning from Social Media M...
Determining Online Brand Reputation with Machine Learning from Social Media M...
 
Is More Better?: Impact of Multiple Photos on Perception of Persona Profiles
Is More Better?: Impact of Multiple Photos on Perception of Persona ProfilesIs More Better?: Impact of Multiple Photos on Perception of Persona Profiles
Is More Better?: Impact of Multiple Photos on Perception of Persona Profiles
 
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...
Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for...
 
OSS-EBM: Open Source Software Entrepreneurial Business Modelling
OSS-EBM: Open Source Software Entrepreneurial Business ModellingOSS-EBM: Open Source Software Entrepreneurial Business Modelling
OSS-EBM: Open Source Software Entrepreneurial Business Modelling
 
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...
Gender effect on e-commerce sales of experience gifts: Preliminary empirical ...
 
Tips for Scale Development: Evaluating Automatic Personas
Tips for Scale Development: Evaluating Automatic PersonasTips for Scale Development: Evaluating Automatic Personas
Tips for Scale Development: Evaluating Automatic Personas
 
Big Data, Small Personas: Research Agenda for Automatic Persona Generation
Big Data, Small Personas: Research Agenda for Automatic Persona GenerationBig Data, Small Personas: Research Agenda for Automatic Persona Generation
Big Data, Small Personas: Research Agenda for Automatic Persona Generation
 
Why do startups avoid difficult problems?
Why do startups avoid difficult problems?Why do startups avoid difficult problems?
Why do startups avoid difficult problems?
 
Social Espionage: Drawing Benefit from Competitors’ Social Media Presence
Social Espionage: Drawing Benefit from Competitors’ Social Media PresenceSocial Espionage: Drawing Benefit from Competitors’ Social Media Presence
Social Espionage: Drawing Benefit from Competitors’ Social Media Presence
 
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)
Strategic Digital Marketing (Digital Marketing '15 @ Oulu University)
 
Social Media Marketing (Digital Marketing '15 @ Oulu University)
Social Media Marketing (Digital Marketing '15 @ Oulu University)Social Media Marketing (Digital Marketing '15 @ Oulu University)
Social Media Marketing (Digital Marketing '15 @ Oulu University)
 

Último

“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 

Último (20)

INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 

MA8 Digitaalinen markkinointi (luento 4)

  • 1. Kuinka muuttaa kävijät rahaksi? KONVERSIO-OPTIMOINTI 1
  • 2. Mitä tarkoittaa konversio? ―When a user completes a desired action on your site, such as a purchase or request for ―In internet marketing, information. A conversion is the desired end conversion rate is the ratio of result from a user visiting your site.‖ visitors who convert casual (Google) content views or website visits into desired actions based on subtle or direct requests from marketers, advertisers, and content creators. If the prospect has visited a marketer‘s web site, vain pieni examples of conversion actions osa tekee might include making an online mitä haluat! purchase or submitting a form to request additional information.‖ (Wikipedia 2012) vrt. AIDA 2
  • 3. Optimoinnin monet kasvot • konversio-optimointi – hakukoneoptimointi (PageRank) – mainonnan optimointi erit. A/B-testit – laskeutumissivun optimointi – Facebook-optimointi (newsfeed optimization) – jne. kaikki missä on algoritmi! • konversioalttiuteen vaikuttaa esim. – kellonaika (aamu vs. ilta) just wanted to – kuukausi (esim. joulukuu) say hi! – demografia, intentio – tuotteet, tarve, halu, ostovalmius – web design, käytettävyys, ostamisen houkuttelevuus – kommunikaatiotyyli, selkeys, informatiivisuus – jne. 3
  • 4. Not all optimization is equal… ―Yes, we would love to live in a world in which everything could be fully optimized all at once, but unfortunately we live in a world of tradeoffs. These tradeoffs could be something as simple as time and/or resources. You may only have the resources to optimize a single step in a conversion process. Where will you start? Or as in the case of SEO and LPO (landing page optimization), you may be dealing with optimization strategies that contradict one another.‖  Jos täytyy valita, mitä sinä optimoisit?  Minkä optimoinnista saa parhaimman hyödyn? 4
  • 5. Miksi konversio-optimointi? ―Frequently, when marketers target a pocket of customers that has shown spectacular lift in an ad campaign, they belatedly discover the behavior is not consistent. Online marketing response rates fluctuate widely from hour to hour, segment to segment and offer to offer. This phenomenon can be traced to the difficulty humans have separating chance events from real effects. Using the haystack process, at any given time marketers are limited to examining and drawing conclusions from small samples of data. However, psychologists (led by Kahneman and Tversky) have extensively documented tendencies which find spurious patterns in small samples, thereby explaining why poor decisions are made. Therefore, statistical methodologies can be leveraged to study large samples and mitigate the urge to see patterns where none exists. These methodologies, or ‗conversion optimization‘ methods, are then taken a step further to run in a real-time environment. The real-time data collection and subsequent messaging as a result, increases the scale and effectiveness of the online campaign.‖ 5
  • 6. CAC:n puolittaminen (Salminen 2012) As the number of visitors, and marketing budget spent to it, grows, conversion optimization becomes the most important investment. Let me demonstrate by a very simple example of two cases. Advertising spend: 100 000 money Visitors*: 400 000 Cvr: 1% No. sales: 4000 Advertising spend: 50 000 money Visitors*: 200 000 Cvr: 2% No. sales: 4 000 * Avg. CPC 0.25 money 6
  • 7. …the whole story Now, the cases provide the same number of sales, although the other one is spending double the amount for ads. But the question, from economic perspective, is this: Does the improvement of cvr by one %-point cost more or less than 50 000 money? In every case it costs less than that, which is the difference of advertising spends, it should be opted prior to increasing advertising budget. This is an economic decision: there is scarcity of budget which leads to desire to optimize efficiency and, finally, trade-offs between allocating investments (here: between advertising and conversion optimization, both parts of the same marketing budget). What my point is: THERE IS NO POINT IN DOUBLING MARKETING SPEND BEFORE ABILITY TO CONVERT HAS BEEN OPTIMIZED, as it leads to a sub-optimal allocation. In fact, by inserting real figures into this simple equation we can see how much it's worth to pay for conversion optimization service, should such a service be acquired. – There is A LOT that can be done improve conversion rate, and we are only in the beginning. All efforts regarding the layout, features, and presentation of the website should serve the purpose. We would do well by taking a step towards A/B testing, not necessarily on the product level, since it's very cumbersome to execute, but by testing MAJOR things and their impact on conversion. For one, conventions are very necessary. Users have used to certain functions and positions (e.g. search box & shopping cart); we must adapt to these as well as possible, otherwise we create frustration and confusion. As the usability expert Jacob Nielsen says, users spend most of their time in sites other than yours. Key takeaways: 1. Need to find better ways to capture visitors and convert them FIRST to suspects and then sales. 2. Conversion optimization becomes more crucially when advertising is increased, and should be done BEFORE increasing such investments. 3. Conversion optimization can be done EITHER in-house (by applying A/B tests) OR by acquiring an expert service. 7
  • 8. ABC-argumentti konversiosuhteen tärkeydestä (Nielsen 2008) a) ―In a multiplication, if you want to increase the outcome by a certain percentage, you can increase any of the factors by that percentage. It doesn‘t matter which factor is increased — the result will be the same. b) Thus, to double a site‟s business, you can double the number of unique visitors. However, this would be very expensive, requiring that you more than double the advertising budget (assuming you‘re already advertising under the most-promising keywords, and thus need to buy traffic from less promising or more expensive sources). c) Alternatively, you can double the conversion rate and achieve the same business improvement. It‘s still fairly cheap to double conversion rates, though it‘s not as cheap as it was, say, in 2000. According to our survey, spending 10% of your development budget on usability should improve your conversion rate by 83%. You can probably double the conversion rate by spending less than 15% of your development budget. In most cases, it‘s far cheaper to use 15% of your development budget than to more 8 than double your advertising budget.‖
  • 9. Konversion käsite on suhteellinen ―…conversions are interpreted differently by individual marketers, advertisers, and content creators. To online retailers, for example, a successful conversion may constitute the [1] sale of a product to a consumer whose interest in the item was initially sparked by clicking a banner advertisement. To content creators, however, a successful conversion may refer to a [2] membership registration, [3] newsletter subscription, [4] software download, or other activity that occurs due to a subtle or direct request from the content creator for the visitor to take the action.‖ (Wikipedia 2012) Kaava: entä per asiakas? 9
  • 10. Konversiotyypit ja mikrotransaktiot (Cooper 2010) Asiakkaalta voi saada • aikaa, huomiota • klikkauksia • yhteystiedot • laskutustiedot • hiukan rahaa (transaktio) • lisää rahaa (bundlaus) • vielä lisää rahaa (suhde) • puhelinsoittoja ja tapaamisia • kausisopimuksia • suositteluja Kuitenkin lopullisena tavoitteena on tietysti €,$,£ 10
  • 11. Internet-markkinoinnin ”toimintaputki” (funnel) (Salminen 2012) Level of behavior click Action :) Pre-click Post-click* No action :( älä ainoastaan keskity tähän… …vaan koko putkeen 11
  • 12. …after click konsistenssi Question 1: Question 2: Question 3: Where am I? What can I Why should do here? I do it? • (landing page • kannustimet optimization) huom! linkit kilpailevat • call to action • tagline, header • navigation (or not) keskenään huomiosta -> “Think one vähemmän on goal, one parempi message, Problem of multiple ―Homepages that must speak one audiences? simultaneously to multiple audiences action.” are notoriously difficult to optimize.  break value This is the main reason why you are propositions into better off driving traffic to channel- different landing specific landing pages whenever pages (channel, possible.‖ (Grinkot 2009) 12 customer group, intention…)
  • 13. Bounce rate on korkea. Mitä se kertoo sinulle? Voi olla useita syitä: 1. designiin liittyvä yleinen ongelma (esim. navigaatio, layout) 2. landing page on huono (esim. CTA:n puute) 3. ihmisten luontainen tapa selata sivuja (switching behavior) 4. kohdennukseen liittyvä ongelma (kohderyhmän ja arvolupauksen yhteensopivuus) 13
  • 14. Konversiopolut (conversion funnel, ”path”) esim. liikenteen lähteen mukaan konversioiden määrät eri lähteiden tuomat tulot 14
  • 15. Konversion kustannus (cost of conversion) Bännerit Hakukone Facebook Kävijöiden 1000 1000 1000 määrä CPC (CTR) 1 (0,5 %) 0,25 (5 %) 0,50 (0,05 %) Total cost (€) 1000 250 500 CVR (ostot) 2 % (20) 2 % (20) 2 % (20) COC/CPS 50 12,50 25 Huom! • CTR:t viitteellisiä, mutta tyypillisiä • CTR ei suoraan vaikuta konversiokustannukseen, epäsuorasti kylläkin • mitä tapahtuu kun muutetaan CVR:ää 1 %- yks. verran? 15
  • 16. Konversion kustannus (cost of conversion) Bännerit Hakukone Facebook Kävijöiden 1000 1000 1000 määrä CPC (CTR) 1 (0,5 %) 0,25 (5 %) 0,50 (0,05 %) Cost (€) 1000 250 500 CVR (ostot) 3 % (30) 3 % (30 50%) 3 % (30) COC/CPS 33 8,30 ( 33 %) 17 Huom! “Compounding effect of micro-gains” Konversiokustannukseen vaikuttaa paitsi kävijöiden hankinnan hinta, myös kävijöiden Pienet parannukset laatu (ostovalmius) ja sivun yksittäisissä konversion konversiopotentiaali, jotka yhdessä vaiheissa voivat johtaa muodostavat konv.-%:n. suureen kokonaisvaikutukseen kertautumisen vuoksi. 16
  • 17. ”Kanavamotivaation” ongelma konversiossa (Marketing Experiments 2010) ―The PPC traffic was considerably more motivated than the external banner traffic, and though the new process significantly lowered Friction in the process, there was not much to address the specific motivations of incoming visitors. – Though cutting the amount of steps in a process increased the conversion rate for every channel tested, there was a significant difference in gains made from channel to channel. As we have taught, not all channels will convert at the same rate because they represent different demographics at different places in the conversation. The PPC traffic was considerably more motivated than the external banner traffic, and though the new process significantly lowered Friction in the process, there was not much to address the specific motivations of incoming visitors.‖  testaa eri kanavia, mieti tavoitteita  ongelma ilmenee selkeimmin, kun yrität skaalata (minä tahansa hetkenä on vain rajattu joukko ihmisiä, jotka ovat valmiita ostamaan; muiden kohdalla on päästävä valintajoukkoon tai luotava tarve) 17
  • 18. Kanavat konvertoivat eri teholla (cost of conversion) Bännerit Hakukone Facebook Kävijöiden 1000 1000 1000 määrä CPC (CTR) 1 (0,5 %) 0,25 (5 %) 0,50 (0,05 %) Cost (€) 1000 250 500 CVR (ostot) 1 % (10) 1 % (10) 3 % (30) COC/CPS 100 25 17 entä myöhäinen konversio? 18
  • 19. Muita haasteita (Mikä kampanja konvertoi parhaiten?) • ostamisen lykkääminen (deferred buying behavior) – kun cookien teho häviää, ‖kadotetaan‖ asiakas – voidaan ehkäistä rekisteröinneillä • attribuutio-ongelma (iSales-keissi) – sitä monimutkaisempi, mitä enemmän markkinointikanavia JA myyntikanavia – jos on sekä online- että offline-myyntipiste JA online- ja offline-markkinointia, on lähes mahdotonta diskreettisesti erottaa ratkaiseva kosketus – huom! ensikosketus ei ole aina ratkaiseva – kyseessä on siis jonkinlainen todennäköisyysmalli, jonka mukaan asiakkaat painottavat eri kanavista tulevia viestejä ostopäätöksen tekemisessä 19
  • 20. Kosketusten painottaminen (Burka 2011) ‖There are several ways to allocate success across different online marketing channels. The easiest method is to weight each channel equally, leaving yourself the option of taking the frequency of each channel‘s exposure into account, as well as the placement of each in the purchase path (first, last or middle touch point). – For example, if someone has been exposed to a display ad five times in a seven touch point path, then the credit given to display can be weighted higher. Or if display was the first touch point, you could make the case that this channel introduced someone to the brand and should be given more credit than the other channels. In addition, it would make sense to weight the data points based on whether they result in new customers or existing customers.‖ 20
  • 21. Last touch bias (Salminen 2012) • käytössä olevalla analytiikkatyökalulla pystytään erottamaan vain viimeinen, konversion tuonut kosketus – ollaan siis sokeita kaikille aiemmille kosketuksille • tämän perusteella päätellään että kampanja B (last touch) sai aikaan konversion, vaikka ainakin osa konversion arvosta pitäisi sijoittaa aikaisemmille kosketuksille (esim. kampanja A, first touch) • tuloksena on attribuutiovirhe, ‖last touch bias‖ – seurauksena voidaan tehdä huonoja allokointipäätöksiä 21
  • 22. Konversio-optimoinnin osa-alueet (Salminen 2012) landing page landing page bounce optimization kannustimet esteet shopping ostoskori cart recovery kannustimet esteet lifecycle loyalty churn marketing 22
  • 23. Miksi asiakas hylkää ostoskorin? • tilausprosessin vaikeus • maksu- tai toimitustapojen puute • tuote ei heti saatavilla • tiedon puute (toimitusaika, tuote, yritys…) • pettymys esim. postituskuluihin • vertailu eri myyjien välillä – ―Online-savvy consumers are using shopping carts to browse more than to buy. Knowing that shipping costs, handling charges, sales tax, product availability, and delivery methods vary widely among online retailers, customers use shopping carts to compare vendors.‖ 23
  • 24. Asiakas laittaa tuotteen ostoskoriin, mutta lähtee sivulta. Mitä teet? • Ensin täytyy TIETÄÄ asiasta (analytiikka). • Vaihtoehdot: 1. kysy heti miksi (event-trigger?) 2. lähetä sähköpostia (tunnistaminen, rekisteröinti?) 3. uudelleenkohdista mainontaa (retargeting) 24
  • 25. 5 vinkkiä ostoskorin pelastamiseen (Marketing Experiments 2005) 1. Collect email address (and possibly also the phone number) in the first step of your order process so you are able to contact customers if they do not complete their orders. This may seem obvious, but many site owners overlook this simple step that enables the whole cart-recovery process. 2. Many abandoned carts are caused by problems or frustrations with the order process. Your potential customers will be much more likely to respond if they sense that you are genuinely interested in helping them. Let them feel your authentic concern. 3. It is important that you respond as soon as possible after the carts are abandoned. The more time that passes, the more likely customers will forget about your offer. If possible, automate your first message so that it will be sent out within minutes of the abandoned order. 4. If possible, design your email messages so that a link will take the customer back to the abandoned cart with the item or items already added and as much information as possible pre-populated in the order form. 5. Utilize incentives to encourage potential customers to come back to your site and complete their orders. 25
  • 26. Shopping cart recovery Second Email: Hello: (Marketing Ex. 2005) We are not sure if you received our previous email, but this is our last attempt to contact you. ____ days ago, you started to place an order at First Email: __________. Somehow, you were unable to Hello: complete the form. Thank you for visiting ________. Was the problem on our end or on yours? Is there We noticed that you did not complete your order, any way we can help? and we wanted to do everything we can to help. INCENTIVE To complete your order in two minutes or less, (Example: We apologize for any difficulty you may have had with our ordering system. Our customer just visit our one-page, simple order form: service manager has approved a special price of LINK $19.95 if you would like to give us one more Product or service benefits should go here. chance.) If you have any questions about our There are two ways to complete your order in two products/services, please contact us using one of minutes or less: the following methods: Use this link to visit our one-page, simple order form: PHONE NUMBER LINK EMAIL ADDRESS Call (toll-free) 800-555-5555. We are standing by to WEBSITE ADDRESS answer your questions. Please let us know if there is any other way we If you are not satisfied with your purchase, we will can help. give you a complete refund, no questions asked. Thanks, Please let us know if there is any other way we can help. Personal Signature Thanks, P.S. Use the postscript to provide an additional Personal Signature incentive or notice of a money-back guarantee. P.S. If you do not respond to this email, we will If you want your name removed from our records, remove your information from our servers. There is please click here: no need to unsubscribe. SIMPLE UNSUBSCRIBE INSTRUCTIONS If you want your name removed from our records 26 immediately, please click here: SIMPLE UNSUBSCRIBE INSTRUCTIONS
  • 27. Checkout-kannustus (”Olet melkein siellä!”) ―Many marketers assume that the customer has enough momentum once clicking ‗add to cart‘ to make it through the entire checkout process,‖ he stated, ―That‘s a lot like expecting a fish to reel itself in once it‘s been hooked.‖ The lack of value communication in the checkout process is one of the biggest impediments to conversion in the checkout process that our researchers come across when optimizing the funnel process. McGlaughlin stated that the value proposition must be expressed continuously for every step/action you require of the visitor. Marketers must never assume your customer is completely sold in the cart.‖ 27
  • 28. Konversiosuunnittelun KoRKo-malli (Salminen 2012, wp.) Konversio- design Rakenne Sisältö A/B 1. käytettävyys 1. luotettavuus • referenssit 2. design (layout) (trust indicators) • suositukset 3. linkkiarkkitehtuuri 2. informatiivisuus • brand (clutter, navigation) 3. helppous spillovers • konventiot • autenttisuus • aktiviteetti Konsistenssi, • samat kuvat, Relevanssi, sama ilme oikea • sama arvolupaus Kongruenssi kohderyhmä • jatkuva friction reduction vakuuttaminen 28
  • 29. Trust indicators (social proof) call-to- action Facebook- suositukset/ tykkäykset asiakaspalaute kuvat Sertifikaatit/ copyteksti brändikytkökset 29
  • 30. konventio = elementti ja Pyri konventioon sijainti, johon asiakas on tottunut muissa verkkokaupoissa (ts. vallitseva käytäntö) ostoskori yläoikealla logo ylävasemmalla kategoriat vasen laita tuotteet keskellä kampanjabänneri tuotteiden yläpuolella haku yläoikealla? yhteystiedot horis. valikossa? Älä poikkea konventioista ilman hyvää syytä! (herättää hämmennystä) 30
  • 31. ”Friction overload” (Sutton 2011, suom. ‟kitka‟) “Friction is the psychological resistance to elements in the email – Friction is caused by forcing subscribers to think or act. Longer copy takes longer to read and therefore increases friction. Using several calls-to-action (instead of one) increases friction by forcing subscribers to weigh several options. Every email has friction (subscribers have to read and click on something), but it must be minimized. Common causes of ―friction overload‖ in emails include: – Multiple images that compete for attention – Non-linear eye path in the layout – Multiple calls-to-action from which to choose – Long or confusing copy Excessive friction is also generated by emails that do not follow the typical subscriber‘s thought process. For example, the call-to-action should not be presented until the subscriber understands why they‘ve received the message and why they should respond. Otherwise, the email is calling them to act before they see a clear benefit.‖ 31
  • 32. Suositukset (social proof) kohdennettu suositus perustuu asiakkaan toimiin arvostelut kertovat tuotteen laadusta ostofrekvenssi kertoo muiden asiakkaiden valinnoista 32
  • 33. Trust seals & brand solicits (reference proof) referenssi- asiakkaat, brand spill over effects 33
  • 34. Trust indicator: appearance of activity (Bustos 2010) live-päivitys sivun ‖Though someone may not buy an item tapahtumista just because someone else has just snapped it up, it does give the appearance of activity on the site. In traditional retail, the busier a store is, the more people it will attract. When I worked in a shoe store, we were told to ‗make a mess‘ when the store was ‗dead‘ to give the appearance that something was happening in the store. Otherwise, people will look in and walk right by. It works. Bubblelicious gives the sense that Backcountry is an active site that many other people are shopping right now – which may have the same effect.‖ 34
  • 35. Relevanssi: autenttinen kuvamateriaali Kuvapankista Aitoja kuvankaappauksia 35
  • 36. Kuvien autenttisuus ―Marketers often use stock images that imply nothing about the value of the offer, settling for ‗pretty‘ images that make no clear connection to the offer‘s core value. Remember, images that say nothing are worth nothing. The force of an image increases with its authenticity. Images can bring a realism that reduces the „virtual distance‟ between an offer‟s value and the recipient‟s perception of that value. Therefore, marketers must attempt to find images that help the visitor see and experience the core value of the product.‖ (Marketing Experiments 2010) 36
  • 37. ”Marketese language” – vältä tätä! • Spesifisyys. ‖industry leader‖, ‖best data‖ – BS! • epäselviä kvalitatiivisia väitteitä • informaatioarvo nolla • Tyyli (tone). ‖Your hunt is over!‖ tunnetaanko me? • Valinnanvara konktoinnissa, pushy? WTF? ”MA8 tarjoaa laadukkaita ratkaisuja digitaalisten järjestelmien ymmärtämisen strategisessa markkinointikontekstissa.” 37
  • 38. Arvolupausten konkretisointi ‖To offer an example, commonly used PPC terms such as ‗biggest‘ mean nothing out of context. Instead of wasting ad space with unsubstantiated generalities, choose to tell the user, ‗106,000+ new users in 2010.‘ Don‘t tell the user that something offers ‗fastest downloads‘ when it is more effective to say, ‗Download time is X seconds.‘ Such superlatives offer the user no information that would encourage a clickthrough.‖ (Marketing Experiments 2011)  pidä huolta, että tarjoat informaatioarvoa!  “Asiakas ei ole tyhmä. Hän on vaimosi.” (Ogilvy) 38
  • 39. Mielestäsi landing page A on parempi, Joni sanoo B:n olevan parempi. Mitä tehdään? Testataan ja katsotaan kumpi voitti. kontrolliversio (A) testiversio (B) +3,6 % Testin rakenne: Muutetaan ainoastaan toimintakehoite (call-to- action), mitä opitaan? 39
  • 40. A/B testauksessa huomioitavaa • itsenäiset ja riippuvat muuttujat (minkä vaikutusta mihin testataan?) • peräkkäinen (sequential) vai rinnakkainen (split) testi • tarpeeksi dataa (merkitsevyys) • hyvä olla hypoteesi (joidenkin mielestä aina) • tuloksia käytetään hyödyksi jatkokampanjoissa Haasteet (muk. Arento 2010) – syklisuus (keston oltava riittävä) – trendisyys (testauksen on hyvä olla jatkuvaa) – harhaisuus (testi pitäisi toistaa) – muista kanavamotivaatio – analysis paralysis (koita aloittaa RADIKAALEISTA muutoksista) 40
  • 41. Esimerkki A/B-testauksesta uutiskirjeen testauksessa ―As a simple example, a company with a customer database of 2000 people decides to create an email campaign with a discount code in order to generate sales through its website. It creates an email and then modifies the Call To Action (the part of the copy which encourages customers to do something - in the case of a sales campaign, make a purchase). To 1000 people it sends the email with the Call To Action stating ‗Offer ends this Saturday! Use code A1‘, and to another 1000 people it sends the email with the Call To Action stating ‗Limited time offer! Use code B1‘. All other elements of the email‘s copy and layout are identical. The company then monitors which campaign has the highest success rate by analysing the use of the promotional codes. The email using the code A1 has a 5% response rate (50 of the 1000 people emailed used the code to buy a product), and the email using the code B1 has a 3% response rate (30 of the recipients used the code to buy a product). The company therefore determines that in this instance, the first Call To Action is more effective and will use it in future sales campaigns.‖ 41
  • 42. Testaamisen tavoite on ymmärtää miksi! ―Marketers should not assume that a popular page design will be effective for every situation. The problem with ‗best practices‘ or ‗best designs‘ is that they rarely work across the board. It is more important to move beyond understanding the ‗what‘ of page layout, and use testing to attain the deeper understanding of „why‟.‖ (Marketing Experiments 2010) voit aina kyseenalaistaa ―lait‖ jotta ymmärtää, mikä asia toimii missä tilanteessa, on hyvä ymmärtää syy/mekanismi/logiikka; muuten saatat yllättyä 42
  • 43. Yhdenmukaisuuden periaate (principle of congruence) ―Essentially, this principle states that for a value proposition to be effectively expressed on a Web page, each element of that page must either state or support the value proposition. This means that not only do headlines and copy need to communicate value, but images, buttons, navigation, and even the site functionality must be saying something about the value of the offer.‖ (Marketing Experiments 2010) 43
  • 44. Designin ja konversion tradeoff? ―On the Web there is often a false dichotomy between aesthetics and optimization. Some marketers desire a site that ―looks nice‖ but is not necessarily optimized for conversion. Other marketers care less about design and just want a ―site that sells.‖ But, as is usually the case with such marketing tensions, the answer is not one of competition, but cooperation. Solving this tension is a matter of assigning priority, and as the following experiment clearly illustrates, strategy should take priority over style.‖ (Marketing Experiments 2010) (muista myös designin ja hakukoneoptimoinnin oletettu tradeoff) 44
  • 45. Tavoitteena kaunis sivu? (Designer’s fallacy) ―Marketers must understand that an aesthetically appealing page does not necessarily convert better than an aesthetically unappealing page. Optimization strategy will almost always trump style when it comes to visitor response.‖ – toisin sanoen, ruma sivu voi myydä paremmin kuin ―hieno‖; joskus esteettisyyden lisääminen ovi johtaa konversion alenemiseen – esim. boo.com, fruugo ―This does not mean that aesthetic design has no place in optimization. Branding, images and the like can help conversion when used appropriately, but there is often a disproportionate emphasis placed on the style of design.‖ (Correll 2011) 45
  • 46. ”Lojaaliusmaksimi” (totta vai tarua?) ―The traditional arguments from non-Internet marketing continue to hold: it is almost always much cheaper to retain satisfied customers and turn them into repeat business than it is to attract a new, one-time customer. The first time you do business with somebody, the net result may well be a loss because of the huge cost of attracting new customers […]. Also, the first order is likely small because the customer wants to test the waters before committing to large deals on an ongoing basis. Keeping the customer in the fold is cheaper than advertising for new customers, and repeat orders are likely be progressively larger. Combine cheaper costs and larger orders and you find that repeat customers generate most of your profits. This has been proven again and again in the ‗real world‘ and is almost certainly true on the Internet as well.‖ (Nielsen 1997) konversio < retentio? (CVR:n 46 ja CLV:n suhde?)