5. Manutan - Safeshops Manutan Belgium 20135
Overtoom
Who are Overtoom & Manutan?
Manutan
1947 Founded by Rein Sjenitzer
1974
1995
1997
2014
1947 Founded by Rein Sjenitzer
1974 Start Belgian Branch
1995 Acquisition by Manutan
1997 Launch of the Overtoom web shop
2014 Manutan-Overtoom 1 Belgian Brand
1966 Founded by André Guichard
1973 Start European expansion / Belgian
Branch
1985 Introduction of Manutan SA on Euronext
Market
2011 Move to the Overtoom-Building in Ternat
2014 Manutan-Overtoom 1 Belgian Brand
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Who is Overtoom & Manutan?
One big European Family
Our presence in 19 European countries through 23 affiliates reflects our desire to spread our
company vision throughout the world. We are keen to share our principles with the widest possible
audience across all borders, wherever and whatever they may be.
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Segmentation vs. Prediction
Predictio
Customer Base Action
Predictio
Segmentation
Who to select ?
Prediction
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Segmentation vs. Prediction
Cumulative
Turnover
Customer
Ranking
Field test 2008
Prediction
Segmentation
best
customers
worst
customers
The predictive model shows an increase in turnover of more than 10% compared to the
traditional segmentation (RFM) scheme
Forrester Research: There is a causal effect of personalization on loyalty, customer satisfaction
and customer retention (Feb 17,2012; Whitepaper: Use customer analytics to get personal)
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Segmentation vs. Prediction
Other traditional segmentation used in our industry is not always helpful
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Analytics & the customer lifecycle
Prospect New
Customer
Active
Customer
Inactive
Customer
Suspect Customer
At Risk
Acquisition
Customized
Offers
Segmenting
& Targeting
Profit / LT
Value
Churn
Prevention
ReactivationSegmenting
& Targeting
Customized
Offers
Customized
Offers
Loyalty
Reactivation
Prospect
conversion
Suspect
Purchase
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Customized offers
Define content for each individual...
Which products to offer?
Prediction
40.000
Products
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Customized offers
Personalization is a win-win initiative:
Customer benefits from better recognition and gets relevant offers & experiences
Organizations benefit from increased customer retention & realize significant returns
Forrester Research, Feb 17,2012; Whitepaper: Use customer analytics to get personal)
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Customized offers
Customized Offers are 300% more relevant
Average response after 1 month
Offer 1: most relevant product based on predictions
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Vitrine
Folder
Baseline
Conversion
Offer ranking
Response most relevant product is 300% higher than average response
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Analytics & the customer lifecycle
Prospect New
Customer
Active
Customer
Inactive
Customer
Suspect Customer
At Risk
Acquisition
Customized
Offers
Segmenting
& Targeting
Profit / LT
Value
Churn
Prevention
ReactivationSegmenting
& Targeting
Customized
Offers
Customized
Offers
Loyalty
Reactivation
Prospect
conversion
Suspect
Purchase
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Other Examples: Net impact modeling
Response modeling: Traditional Approach
Limitations: Neglects impact of campaigns
React if not treated
by marketing campaign?
YES NO
React if
treated by
marketing
campaign?
YES
NO
ActionNo Action
Lost-
Net impact modeling
Test : # of customers have not received a catalog in 2012, to find out which
customer groups are not influenced in their purchase by a catalog (i.e. what is
the actual impact of our catalog on customer’s purchasing behavior)
Outcome: sending out considerably less catalogs in 2013 (saving $$$)
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Other Examples: Mailing plan on economically justified costs
Calculation of customer lifetime value
Outcome: know how much we can spend marketing on each customer
Expected profit/Contact = Probability * (TO * Margin) – Action cost
Top
Scores
Medium
Scores
Low
Scores
Bad
Scores
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Suspect purchase
• New suspects we purchase from Graydon (based on Twins)
• Outcome: reduction in cost with Graydon + reduction in mailing cost
Churn = customers at risk
• Look at maximum inter-purchase time
• Outcome: clean d-base
Set up of customer lifecycle action plan
• E.g. new customer, different automated actions we take: call after week 1, letter & email
after x months if not repurchased; with personalized offers for new customers.
• Outcome: better customer knowledge + increased customer duration
Other examples