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Annual Conference  2010 WIFI ibahn_conference CODE:  01A3D9
 
On speed!
#bqmr #mrx
It’s time!
 
 
 
 
 
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Annual Conference  2010 WIFI ibahn_conference CODE:  01A3D9
 
Rijn Vogelaar Introducing: The Superpromoter
SORRY
 
Features of a Superpomoter Enthusiasm Sharing  Etnhusiasm Influence
Superpromoters are relevant ,[object Object],[object Object],[object Object],[object Object]
Features of an antipromoter ,[object Object],[object Object],[object Object],[object Object],the antipromoter is  not your average  complaining customer!
the ultimate battle familiar with him unfamiliar with him
Superpromoterblindness
Why are we blind? ,[object Object],[object Object],[object Object],[object Object]
Scared of customers classical conditioning:  customer = a problem
recommend talk copy
 
my son Loek (3y.)
 
 
What are the steps to take? ,[object Object],[object Object],[object Object]
 
Brand C C C C C C I I I C C C C C C
Social Media Analyser  (SMA)
Luisteren naar de Amstel superpromoter
De superpromoters van ...
Superpromoter activatie Amstel
Case:  Listen to Superpromoters  Jillz case: Interviewing Buzzers Group 1: women superpromoters Group 2: men superpromoters
Shut your eyes
Flow of enthusiasm
Positive energy motivates
Knowing what the audience likes
Co-creation between band & public
more info: ,[object Object],[object Object],[object Object],[object Object],[object Object],@rijn (on Twitter) english edition  out: december 2010
 
Python Predictions
  was part of everybody’s toolkit? What if ? Analytics RE!SET Analytics BAQMaR RE!SET  █   December 16, 2010  █   Ghent
Would Adam have  eaten the apple ? RE!SET Would Santa Claus need letters to know which presents to bring the kids? Would BP then have run into problems? Would we then all receive so  much irrelevant information? NO! NO! NO! NO ! NO! NO! NO! NO! NO! NO ! NO! NO! NO! NO! BAQMaR RE!SET  █   December 16, 2010  █   Ghent
from the start! RE!SET ANALYTICS BAQMaR RE!SET  █   December 16, 2010  █   Ghent
VisionsLive
Why run qualitative research online? “ 83% of online users, ages 18 – 54 use social media online.  How do we understand  what consumers think  without using the channel they use most to communicate?” (Knowledge Networks 2009) ‏
Don’t throw anything away! Re!Set Long-term discussions Video Concept testing Make your research more convenient for your respondents Co-Creation Adaptive/interactive discussions Iterative concept development Bigger, deeper insights In-depth interviews Low-incidence groups Simple Pre/Post tasking Mini-Communities Live online  focus  groups Diaries with probing/QA User Journeys International Research easy as pie! Ad Testing Usability studies Forum discussions New Product Development
Re!Set your boundaries Why not engage people in an environment that they feel most comfortable in – their home or office?
What does a non-traditional approach yield? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Re!Set Insight Discovery and Insight Sharing ,[object Object],[object Object]
Re!Set Respondent Engagement ,[object Object],[object Object]
Re!Set and Empower your researchers Let them go wild!
Re!Set and empower Your respondents Let them express themselves the way they NEED to!
Use visual representations to illustrate and ask questions the way you want to! Re!Set your respondent engagement
Use visuals for deeper responses Collages and mood boards keep respondents engaged!
The time to Re!Set is NOW… “ Online Focus Groups  -  40% growth  in 3 years - 76% of UK and US consumers have Internet connectivity” (Research May 2009, Esomar 2009)‏ Get an edge  now  for future growth The  online environment  is now a part of almost everyone's  ‘natural environment’  - so make sure your research is  relevant!
Brands Re!Setting as we speak Website usability Marcomms Testing Concept Testing Ad Testing Co-Creation Online Collaboration *courtesy of Insites NV - using Visionslive.com online  focus groups Focus Groups
UK/EU - andreiko@visionslive.com Ph.  +44 (0)8453374484 26 York St London W1U 6PZ United Kingdom www.visionslive.com
Business Insight
conference 2010 Frank Vanden Berghen
High performance Predictive Analytics For EveryBody People usually see predictive analytics as something « inaccessible » and very expensive. We make Predictive Analytics as easy to use as  simple OLAP reporting (and cheaper)! Forget other technique (OLAP/Segmentation) to analyze your data!  Go straight to the best technique with garantueed ROI: Predictive Analytics!
1-click modelling & Extreme ROI 68000 € (the first week) (not using TIMi) KDD2009:  (orange competition) 1% difference in the lift ≈ 250.000 € difference in ROI (This is a pessimistic estimation)
1-click modelling  Best accuracy = Best ROI World-level predictive datamining competitions:
1-click modelling  on any database My experience: To create a predictive model: Classical Tool: From 10 to 50 computing hours TIMi: Less than 5 minutes. KDNugget poll: What was the largest database or dataset you data-mined?
1-click modelling  on any database « French Telecom » internal benchmark:  148 columns Using the «  In-database scoring  engine  » of TIMi: 60 millions rows scored in a few minutes (compatible with teradata, sqlserver, mysql, oracle, etc.) Dataset Size Modelling: Scoring: (Millions rows) Computing Time Computing Time 0.5 1.8 minutes 5 sec. 1 3.5 minutes 10 sec. 3 10.8 minutes 30 sec. 5 18.5 minutes 50 sec. 10 19.9 minutes 100 sec.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Datamining = Lengthy   Data Preparation?
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Accuracy = Incomprehensible model ? AUSDM2009 datamining competition:   devoted to the study of « ensemble learning »:  « Team UniQ » (1st place): a few hundreds of models combined as one « ensemble learner »: AUC= 69.72%. 1 model created with TIMi: AUC= 69.24%.
TIMi open new doors in predictive Busines-Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],TIMi open new doors in predictive Busines-Intelligence
BrainJuicer
BAQMaR – RE!SET What works in market research and what needs change! Month Yr
The Catch-22 of Market Research January 2010  But bridging the gap between the two has always been a challenge… The market research industry has rested on two approaches to gathering intelligent insights: quantitative & qualitative.
The Best of Both Worlds! January 2010  BrainJuicer ®  has pioneered a true hybrid quali-quant methodology that  measures emotion and connects the rich ‘why’s’ of qualitative diagnostics with the robust ‘what’s’ of quantitative metrics.  BrainJuicer © 2006  Contempt Surprise Anger Disgust Happiness Sadness Fear Neutral
Bridging the Gap Provides Insights  January 2010  Capturing and utilizing both qualitative and quantitative data allows researchers to tap insights that could be lost in statistical analysis or limited by the scope and reach of focus groups.  I want to re!set quali-quant research!
Month Yr  Sep 10 Carola Verschoor  Managing Director, BrainJuicer Netherlands [email_address] +31 (6) 484 332 01
4C
RE!SET... ??
[object Object],[object Object],[object Object],[object Object],[object Object],KEEP THE INTEREST ALIVE
[object Object],[object Object],FOCUS ON RELEVANCE
WANT TO JOIN US?  WWW.4CCONSULTING.COM
Drobots
Drobots Reintroducing Statistics into Research What?
Re!Setting Reseach Reporting ,[object Object],[object Object],[object Object],[object Object],What?
Re!Setting Reseach Reporting ,[object Object],[object Object],What?
The Survey Analyser ,[object Object],The Software Platform Concept Level Facet Level Question Level Data Selection Survey Information Sample Results
The Survey Analyser The Software Platform
The Survey Analyser The Software Platform
The Survey Analyser The Software Platform
The Survey Analyser The Software Platform
The Survey Analyser The Software Platform
The Survey Analyser The Software Platform
Extra Services ,[object Object],[object Object],[object Object],[object Object],[object Object],What can we do for you?
[object Object],Thanks!
D&B
DECIDING WITH CONFIDENCE
DECIDING WITH CONFIDENCE
InSites Consulting
Ready for the revolution?
1978: Bill Gates starts the software revolution.
1997: 4 young guys start the research revolution. InSites Consulting, 1997
2010: and are even more passionate about it today.
100 people across 5 offices joined the revolution.
1) CONNECT WITH THE MULTI-FACETED CONSUMER 2) KEEP AN ONGOING DIALOGUE WITH CONSUMERS 3) BRING THEM INTO YOUR REALITY Taking research forward is serious business.
SAS
Make Data Serve Your Business
More Data = More Mess
More Data = More Potential
More Data = More Analysis
Smarter Filters FORECAST OPTIMIZE PREDICT
Smarter Plans
Smarter Actions
 
Profacts
SHOULD WE PUSH RES!ET ? 28/03/11
OF COURSE WE SHOULD! 28/03/11
ON THE GO EVALUATION GO TO RESTAURANT HAVE A NICE DINNER EVALUATE RESTAURANT How would you evaluate this resto?
 
OUR RES!ET WORKED!
OUR RES!ET WORKED! 230K 730K 880K 1,6M
Can you resist the temptation?
Askia
1.000.000.000.000.000.000.000 bytes* *= 1 zettabyte
 
 
twitter.com /maartenbossuyt /pollepel   /askiasoftware askia.com Thank you
RedesignMe
Maxim Schram CEO RedesignMe 16 december 2010 BaQMaR Conference
24% of 302 large companies have some form of online community either in pilot or fully operational. “ ” - Forrester Research. May 2010
An additional 31% of them are planning to launch some form of community in the next 12 months. “ ” - Forrester Research. May 2010
RedesignMe Ideations Customizable Co-creation platforms “ Every customer deserves a community.” TM
In less than 5 years, every respectable company will have their own online community of customers. “ ” - Maxim Schram, Dec 2010
...this requires massive adaptation  from research companies! “ ”
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
The new Market Researcher is a  Community Manager   and  Interpretation Artist . “ ”
 
Annual Conference  2010 WIFI ibahn_conference CODE:  01A3D9
 
Increasing Marketing Relevance  through Personalized Targeting  Geert Verstraeten December 16, 2010  █   Ghent
Overtoom International ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overtoom International ,[object Object],Yearly Catalogue:  Office Supplies Yearly Catalogue:  Warehouse Supplies Monthly Leaflet: Promotional Brochure
Overtoom International ,[object Object],Company Website www.overtoom.be
[object Object],Overtoom International Reaching the right Customer By offering the right Product(s) Through the most appropriate  Marketing Channel
Python Predictions ,[object Object]
Python Predictions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Customer Intelligence  Benefits Marketing  Accountability Marketing  Relevance
[object Object],Personalized Targeting  Through the most appropriate  Marketing Channel By offering the right Product(s) Reaching the right Customer
[object Object],[object Object],[object Object],[object Object],Reaching the right customer ,[object Object]
[object Object],[object Object],Reaching the right customer Prediction Segmentation Prediction
Reaching the right customer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reaching the right customer ,[object Object]
Reaching the right customer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Personalized Targeting  Through the most appropriate  Marketing Channel By offering the right Product(s) Reaching the right Customer
Customized Offers Well known examples: Google
Customized Offers Well known examples: Amazon
Customized Offers Motivation: the paradox of choice 6 jams 24 jams 40% stops 60% stops 30% purchased 3% purchased S. Iyengar & M. Lepper, When Choice is Demotivating: Can One Desire Too Much of a Good Thing? Journal of Personality and Social Psychology, 2000, Vol. 79, No. 6, 995-1006 Source
Customized Offers Motivation: Overtoom facts All categories are purchased to  a certain degree Most customers purchase  in a limited number of categories
Customized Offers Solutions Market Basket Analysis Response Modeling Similarity Modeling
[object Object],Customized Offers Response Models Product Model Customer X Best offer A A A C B B B C C C ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Customized Offers Response Models Product Taxonomy 40.000 Art. 400 Cat. Models
[object Object],Customized Offers Response Models ,[object Object],[object Object],[object Object],2007 2003-2006
[object Object],[object Object],Customized Offers Response Models
Customized Offers Initial format  (April 2009)
Customized Offers Extended Format
[object Object],Customized Offers Similarity Model Customer X Customers Products Best offer 1 A C 2 X B 3 C ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Customized Offers Similarity Model Customer X Customers Products Best offer 1 A C 2 X B 3 C ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Results - development Success Rate Variety Index
Results - development +14.6% +8.6% ,[object Object],Similarity Modeling  Response Modeling  Most Popular Product
[object Object],[object Object],Results - infield 300 % more  relevant
Validation Comparison of 5 Response Models    with 1 Similarity Model  +28% +25% -50%
[object Object],Implementation Purchasing Inventory Management Marketing  Management Digital Printing Partner Communication  Partner Customer Intelligence Partners General Management
[object Object],Personalized Targeting  Through the most appropriate  Marketing Channel Reaching the right Customer By offering the right Product(s)
[object Object],[object Object],[object Object],www.overtoom.be www.pythonpredictions.com [email_address]
Annual Conference  2010 WIFI ibahn_conference CODE:  01A3D9
 
Annual Conference  2010 WIFI ibahn_conference CODE:  01A3D9
SMART  Award 2010
Winner:
Winner: Vera Pringels
#bqmr #mrx
 
 
 
 
 
Thanks, Partners!
 
Annual Conference  2010

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BAQMaR - Conference Evening

Editor's Notes

  1. This document has the following objectives: be a conversation starter during talks with existing as well as new clients provide the opportunity to ask many different different questions to clients so that we understand their context better give a clear picture what InSites Consulting is all about, covering all relevant aspects of our business (business units, spearheads, research, consulting, ...) add credibility to our beliefs and company (via client references, the books, global reach, ...) spread the word on InSites Consulting in a consistent way across our offices and sales people act as the basis for future discussions on specific methods or solutions, going more in-depth support our positioning and brand (as it is shared on Slideshare) Please only distribute in pdf format!
  2. Sales and Operations Planning involves aligning operations to follow the actual demand patterns of individual products. Many customers see SAS ‘Demand-Driven Forecasting’ playing a strategic role by quantifying demand and calculating the influence which sales and marketing have on shaping the demand. Sanoma is an international publisher responsible for the distribution of some of the most popular magazines in Belgium. They realize that they often only have one chance to sell a particular title to a particular customer in any given week. In distributing their titles among the different points of sale, they need to strike a delicate balance between minimizing excess safety stock and maximizing sales and title visibility. SAS helps Sanoma make forecasts for each magazine at each point of sale, taking into consideration seasonal trends and marketing actions (a CD with the Humo, a travel voucher with the Flair). This leads to a much more accurate prediction, which feeds into an optimized distribution plan for the whole of Belgium. As a result, more magazines are sold during the week, while less are returned at the the end of the same week. Copyright © 2010, SAS Institute Inc. All rights reserved.
  3. Colruyt is one of the largest retailers in Belgium. They wanted to maximize their investment in customer analytics by not only analyzing which customers were most likely to respond to which offer, but when is the right moment to offer which coupon, to which customer. Through the SAS solution, Colruyt not only enjoys a higher utilization rate on less coupons distributed, but also provides a better service to their customers: allowing them to find the relevant coupons in a quicker and personalized way. Come listen to their presentation, directly following this one to hear more. Copyright © 2009, SAS Institute Inc. All rights reserved.
  4. 28/03/11
  5. 28/03/11