SlideShare uma empresa Scribd logo
1 de 25
Demystifying FacebookEdgerank
    and Reach Generator
             Sanjay Mehta
     Joint CEO, Social Wavelength
When Facebook revealed..
• That only 16% of fans receive updates of a
  brand page,
• That Facebook was going to provide a way for
  brand pages to reach a larger part of their
  own fan base,
• That Facebook was going to charge for that
  extra reach…
       ALL HELL BROKE LOOSE… !
The shouting started..
• “Hey, it’s our own fan base..”
• “We paid you, to acquire many of these fans
  in the first place – now you want us to pay you
  again, to reach them??”
• “You didn’t tell this to us before?!”
• “Why would you not show our updates to all
  of our fans??”
• “YOU CAN’T DO THIS TO US..!!”
Stronger words were used too..
• “This is cheating..”
• “Creepy way for Facebook to make money!”
• “They are purposely not letting our updates
  get to our fans, and want us to pay for that!”
• “Their stock’s going nowhere, so this is the
  way they penalize brands!!”
• And then once again, “THEY ARE CHEATING!!”
But was that the real story?
• No, it was not.
• The reality was not communicated too well
• That allowed all these strong and negative
  views to emerge
• Recently I saw the head of a digital agency on
  TV saying, “if they had told us two years
  back, we’d have had other strategies!”
• Yeah, right!
But I don’t blame him..
• Well, except for the fact that he should have
  known better!
• Lot of people got that first impression..
• That Facebook made us build fan bases, which
  we thought we could reach without needing
  to pay anymore thereafter..
• And now, they’re going back on their word,
  and making us pay to reach our own fans..
The reality is different..
• And I will try to explain what it is
• It is all about demystification
• Of the so-called Edgerank concept of
  Facebook
• As much as about the Reach Generator option
  that Facebook offers – to potentially reach
  upto 75% of your fan base, from an otherwise
  average of 16%
Let’s start at the beginning..
• When people had a Facebook profile
• Had a few friends to whom they were
  connected on Facebook
• And had a few brand pages that they had liked
• The friends and the brand pages would put
  out occasional status updates
• And one received all of them, chronologically
• All was well!
What changed??
• We had more and more of our friends getting
  connected to us – school friends, childhood
  buddies, neighbors, ex-colleagues, college
  pals, current teammates, the PTA members,
  the neighborhood community of which you
  were a member, 3rd cousins, in-laws, etc. etc.
• We also started liking many brand pages,
  some applications, some games and what not
• So what??
Well, they all “talked”…a lot!
• Many friends = many status updates flowing
  your way; all day long!
• Brand pages were active – they had a ‘reach’
  to you, without the spam folder in the way
• And then there were the games and the apps
  and they wanted to share a lot of updates
• Sooo..ourFacebook walls or our news feeds
  became busy, and not all updates were so
  great
It was a worrisome situation!
• If a user came to Facebook, got a bunch of
  updates on his wall, and only few were what he
  wanted to see
• The rest were junk of all kind
• The risk was that he’d start disliking Facebook
• And not wanting to return, that frequently
• That is NOT what Facebook was supposed to be
Facebook needed to do something
• To make sure that Facebook remained
  interesting to it’s users
• While it was good to connect to a lot of
  friends and like a lot of brand pages, finally, a
  user has to get what he’d like the most
• Facebook figured that it’s duty to it’s users
  was “to give them updates they are most likely
  to engage with..”
Essentially then, what Facebook’s
     mandate for users, is:

    “What is the most
interesting thing that we
   show to the user?”
So how did Facebook decide…
• What it was that was most important to the
  user?
• Obviously, it had tons and tons of data to
  learn from, and based on that, come up with
  the strategy for this..
• And what emerged out of this, is what we now
  know as the Edgerank algorithm of Facebook
But let’s keep the jargon aside..
• What Facebook started out with, was to “give
  users the most interesting things they’d like to
  get”
• Of all the different types of updates that a
  user used to receive those days, Facebook
  figured three clear factors that were critical
  from a user’s point of view
1. What’s your affinity?
• Clearly, if you like someone’s updates, you
  perhaps want to receive their future updates
  too..
• So an interaction that you have with an
  update of a friend, or that of a brand page, it
  shows you have an affinity to that friend/page
• So your ‘affinity’ to a friend or a page is a
  factor that Facebook gives weightage to
2. The ‘heavier’ the better
• “A picture says a 1000 words”; so also, a
  Facebook update with an image is more
  interesting than a plain text update
• By the same token, a video is even more
  interesting than a picture, especially in these
  days of better bandwidth availability
• So Facebook figures that a “heavier” update
  will be more interesting, and gives it weightage
3. Fresh is best!
• Old updates are not that exciting
• People love to know the latest stuff
• So time is the other crucial aspect - Facebook
  assigns maximum points for the most recent
  updates
So this defines EdgeRank
• The sum total impact of the three factors, viz.
  Affinity, Weight, and Time, then decide what
  updates do manage to land up on your feed
• This is also referred to as the EdgeRank
  algorithm of Facebook
• So much for the jargon… simply
  speaking, those whose updates I connect
  with, ones with pics and videos, and recent
  ones, are “interesting” for me..
So where does 16% come?
• When FB said that an average brand page
  reaches only 16% of it’s fans, it looked like
  they block the updates from reaching the
  other 84%.
• Reality is that based on EdgeRank described
  earlier, on average, a brand’s updates only
  make it through to 16% of their audience, and
  not more
What should a brand do, then?
• Of course, the first part is to improve their
  updates from all EdgeRank factors
• But different people like different things
• Also people are online at different times
• And some have already ignored brand updates
  for long
• Then how can brand recover on weight, time
  or affinity factors??
The solution..
• …is generally a long term one. Slowly but
  surely, keep working on improving EdgeRank
  parameters on your updates
• Gradually keep winning back, your fans
• But that will take ages?!
• That’s where Facebook offered an answer for
  a quicker solution
• The Reach Generator..
Jump the fence..
• The user’s Facebook wall has a fence and a
  wicket gate; those whose updates satisfy the
  EdgeRank algorithm get past the wicket gate
• So as a brand that did not make it past the
  wicket gate, FB offers you a way to jump the
  fence
• By paying the Reach Generator fee!
• So THEN you can win back the fan with
  content again..and increase affinity!
Hope some things got demystified?
• Don’t curse FB so much..
• Think search engines. What if Google showed
  you everything that was supposedly about the
  search term you asked for?
• What if it showed you chronological matches?
• It doesn’t. It applies some algorithmic factors.
  And gives what you might be searching for!
• So does Facebook now. Not much different!
For more information, contact:



 Sanjay Mehta
Joint CEO @ Social Wavelength

       Twitter: @sm63

Mais conteúdo relacionado

Mais de Mirum India - A WPP Group Company

What brands got spoken about the most at the Auto-Expo 2014?
What brands got spoken about the most at the Auto-Expo 2014?What brands got spoken about the most at the Auto-Expo 2014?
What brands got spoken about the most at the Auto-Expo 2014?Mirum India - A WPP Group Company
 
What ripples did the Sec #377 verdict create across Social Media?
What ripples did the Sec #377 verdict create across Social Media?What ripples did the Sec #377 verdict create across Social Media?
What ripples did the Sec #377 verdict create across Social Media?Mirum India - A WPP Group Company
 

Mais de Mirum India - A WPP Group Company (20)

MIRUM DAAS - GETTING TO YOUR CUSTOMER’S INBOX
MIRUM DAAS - GETTING TO YOUR CUSTOMER’S INBOXMIRUM DAAS - GETTING TO YOUR CUSTOMER’S INBOX
MIRUM DAAS - GETTING TO YOUR CUSTOMER’S INBOX
 
Mirum GoURL
Mirum GoURLMirum GoURL
Mirum GoURL
 
Mirum India - Salesforce Interaction Studio
Mirum India - Salesforce Interaction StudioMirum India - Salesforce Interaction Studio
Mirum India - Salesforce Interaction Studio
 
Evolution of MarTech
Evolution of MarTechEvolution of MarTech
Evolution of MarTech
 
Decoding Millennial Mindset
Decoding Millennial MindsetDecoding Millennial Mindset
Decoding Millennial Mindset
 
Business Intelligence - Measuring Success
Business Intelligence - Measuring SuccessBusiness Intelligence - Measuring Success
Business Intelligence - Measuring Success
 
The Future of Content
The Future of ContentThe Future of Content
The Future of Content
 
Mirum India Influencer Marketing Creds
Mirum India Influencer Marketing CredsMirum India Influencer Marketing Creds
Mirum India Influencer Marketing Creds
 
Digital Transformation
Digital TransformationDigital Transformation
Digital Transformation
 
A Mirum India Viewpoint on Condom Advertising
A Mirum India Viewpoint on Condom AdvertisingA Mirum India Viewpoint on Condom Advertising
A Mirum India Viewpoint on Condom Advertising
 
What brands got spoken about the most at the Auto-Expo 2014?
What brands got spoken about the most at the Auto-Expo 2014?What brands got spoken about the most at the Auto-Expo 2014?
What brands got spoken about the most at the Auto-Expo 2014?
 
What ripples did the Sec #377 verdict create across Social Media?
What ripples did the Sec #377 verdict create across Social Media?What ripples did the Sec #377 verdict create across Social Media?
What ripples did the Sec #377 verdict create across Social Media?
 
Social Media for Ecommerce
Social Media for EcommerceSocial Media for Ecommerce
Social Media for Ecommerce
 
Social Media beyond Marketing
Social Media beyond MarketingSocial Media beyond Marketing
Social Media beyond Marketing
 
Gauging Consumer Behaviour via Social Analytics
Gauging Consumer Behaviour via Social AnalyticsGauging Consumer Behaviour via Social Analytics
Gauging Consumer Behaviour via Social Analytics
 
Art of Unmarketing
Art of UnmarketingArt of Unmarketing
Art of Unmarketing
 
How the Tejpal case created a Tehelka across Social Media
How the Tejpal case created a Tehelka across Social MediaHow the Tejpal case created a Tehelka across Social Media
How the Tejpal case created a Tehelka across Social Media
 
Our analysis of Day5 of SMWMumbai
Our analysis of Day5 of SMWMumbaiOur analysis of Day5 of SMWMumbai
Our analysis of Day5 of SMWMumbai
 
Our analysis of Day 4 at SMWMumbai.
Our analysis of Day 4 at SMWMumbai.Our analysis of Day 4 at SMWMumbai.
Our analysis of Day 4 at SMWMumbai.
 
Our analysis of Day 3 at SMWMumbai.
Our analysis of Day 3 at SMWMumbai.Our analysis of Day 3 at SMWMumbai.
Our analysis of Day 3 at SMWMumbai.
 

Último

Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...lizamodels9
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Servicediscovermytutordmt
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageMatteo Carbone
 
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc.../:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...lizamodels9
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...anilsa9823
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts ServiceVip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Serviceankitnayak356677
 
Non Text Magic Studio Magic Design for Presentations L&P.pptx
Non Text Magic Studio Magic Design for Presentations L&P.pptxNon Text Magic Studio Magic Design for Presentations L&P.pptx
Non Text Magic Studio Magic Design for Presentations L&P.pptxAbhayThakur200703
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst SummitHolger Mueller
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Dave Litwiller
 
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Tina Ji
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...lizamodels9
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewasmakika9823
 

Último (20)

Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Service
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
 
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc.../:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts ServiceVip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
 
Non Text Magic Studio Magic Design for Presentations L&P.pptx
Non Text Magic Studio Magic Design for Presentations L&P.pptxNon Text Magic Studio Magic Design for Presentations L&P.pptx
Non Text Magic Studio Magic Design for Presentations L&P.pptx
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst Summit
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
 
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through CartoonsForklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
 
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
Russian Faridabad Call Girls(Badarpur) : ☎ 8168257667, @4999
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
 

Demystifying Facebook Edgerank and Reach Generator

  • 1. Demystifying FacebookEdgerank and Reach Generator Sanjay Mehta Joint CEO, Social Wavelength
  • 2. When Facebook revealed.. • That only 16% of fans receive updates of a brand page, • That Facebook was going to provide a way for brand pages to reach a larger part of their own fan base, • That Facebook was going to charge for that extra reach… ALL HELL BROKE LOOSE… !
  • 3. The shouting started.. • “Hey, it’s our own fan base..” • “We paid you, to acquire many of these fans in the first place – now you want us to pay you again, to reach them??” • “You didn’t tell this to us before?!” • “Why would you not show our updates to all of our fans??” • “YOU CAN’T DO THIS TO US..!!”
  • 4. Stronger words were used too.. • “This is cheating..” • “Creepy way for Facebook to make money!” • “They are purposely not letting our updates get to our fans, and want us to pay for that!” • “Their stock’s going nowhere, so this is the way they penalize brands!!” • And then once again, “THEY ARE CHEATING!!”
  • 5. But was that the real story? • No, it was not. • The reality was not communicated too well • That allowed all these strong and negative views to emerge • Recently I saw the head of a digital agency on TV saying, “if they had told us two years back, we’d have had other strategies!” • Yeah, right!
  • 6. But I don’t blame him.. • Well, except for the fact that he should have known better! • Lot of people got that first impression.. • That Facebook made us build fan bases, which we thought we could reach without needing to pay anymore thereafter.. • And now, they’re going back on their word, and making us pay to reach our own fans..
  • 7. The reality is different.. • And I will try to explain what it is • It is all about demystification • Of the so-called Edgerank concept of Facebook • As much as about the Reach Generator option that Facebook offers – to potentially reach upto 75% of your fan base, from an otherwise average of 16%
  • 8. Let’s start at the beginning.. • When people had a Facebook profile • Had a few friends to whom they were connected on Facebook • And had a few brand pages that they had liked • The friends and the brand pages would put out occasional status updates • And one received all of them, chronologically • All was well!
  • 9. What changed?? • We had more and more of our friends getting connected to us – school friends, childhood buddies, neighbors, ex-colleagues, college pals, current teammates, the PTA members, the neighborhood community of which you were a member, 3rd cousins, in-laws, etc. etc. • We also started liking many brand pages, some applications, some games and what not • So what??
  • 10. Well, they all “talked”…a lot! • Many friends = many status updates flowing your way; all day long! • Brand pages were active – they had a ‘reach’ to you, without the spam folder in the way • And then there were the games and the apps and they wanted to share a lot of updates • Sooo..ourFacebook walls or our news feeds became busy, and not all updates were so great
  • 11. It was a worrisome situation! • If a user came to Facebook, got a bunch of updates on his wall, and only few were what he wanted to see • The rest were junk of all kind • The risk was that he’d start disliking Facebook • And not wanting to return, that frequently • That is NOT what Facebook was supposed to be
  • 12. Facebook needed to do something • To make sure that Facebook remained interesting to it’s users • While it was good to connect to a lot of friends and like a lot of brand pages, finally, a user has to get what he’d like the most • Facebook figured that it’s duty to it’s users was “to give them updates they are most likely to engage with..”
  • 13. Essentially then, what Facebook’s mandate for users, is: “What is the most interesting thing that we show to the user?”
  • 14. So how did Facebook decide… • What it was that was most important to the user? • Obviously, it had tons and tons of data to learn from, and based on that, come up with the strategy for this.. • And what emerged out of this, is what we now know as the Edgerank algorithm of Facebook
  • 15. But let’s keep the jargon aside.. • What Facebook started out with, was to “give users the most interesting things they’d like to get” • Of all the different types of updates that a user used to receive those days, Facebook figured three clear factors that were critical from a user’s point of view
  • 16. 1. What’s your affinity? • Clearly, if you like someone’s updates, you perhaps want to receive their future updates too.. • So an interaction that you have with an update of a friend, or that of a brand page, it shows you have an affinity to that friend/page • So your ‘affinity’ to a friend or a page is a factor that Facebook gives weightage to
  • 17. 2. The ‘heavier’ the better • “A picture says a 1000 words”; so also, a Facebook update with an image is more interesting than a plain text update • By the same token, a video is even more interesting than a picture, especially in these days of better bandwidth availability • So Facebook figures that a “heavier” update will be more interesting, and gives it weightage
  • 18. 3. Fresh is best! • Old updates are not that exciting • People love to know the latest stuff • So time is the other crucial aspect - Facebook assigns maximum points for the most recent updates
  • 19. So this defines EdgeRank • The sum total impact of the three factors, viz. Affinity, Weight, and Time, then decide what updates do manage to land up on your feed • This is also referred to as the EdgeRank algorithm of Facebook • So much for the jargon… simply speaking, those whose updates I connect with, ones with pics and videos, and recent ones, are “interesting” for me..
  • 20. So where does 16% come? • When FB said that an average brand page reaches only 16% of it’s fans, it looked like they block the updates from reaching the other 84%. • Reality is that based on EdgeRank described earlier, on average, a brand’s updates only make it through to 16% of their audience, and not more
  • 21. What should a brand do, then? • Of course, the first part is to improve their updates from all EdgeRank factors • But different people like different things • Also people are online at different times • And some have already ignored brand updates for long • Then how can brand recover on weight, time or affinity factors??
  • 22. The solution.. • …is generally a long term one. Slowly but surely, keep working on improving EdgeRank parameters on your updates • Gradually keep winning back, your fans • But that will take ages?! • That’s where Facebook offered an answer for a quicker solution • The Reach Generator..
  • 23. Jump the fence.. • The user’s Facebook wall has a fence and a wicket gate; those whose updates satisfy the EdgeRank algorithm get past the wicket gate • So as a brand that did not make it past the wicket gate, FB offers you a way to jump the fence • By paying the Reach Generator fee! • So THEN you can win back the fan with content again..and increase affinity!
  • 24. Hope some things got demystified? • Don’t curse FB so much.. • Think search engines. What if Google showed you everything that was supposedly about the search term you asked for? • What if it showed you chronological matches? • It doesn’t. It applies some algorithmic factors. And gives what you might be searching for! • So does Facebook now. Not much different!
  • 25. For more information, contact: Sanjay Mehta Joint CEO @ Social Wavelength Twitter: @sm63