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Data science in retail – a Shop Direct
perspective
Matthew Doubleday, Lead Data Scientist
Our transformation
2003-07
Integration and
consolidation
2007-12
Catalogue to
etail capabilities
2013 onwards
Very - explosive
growth +20%
SURVIVAL-LED BUSINESS-LED CUSTOMER-LED
TRANSFORM
A CATALOGUE
BUISINESS INTO
A WORLD CLASS
DIGTIAL RETAILER
100%
digital
Who’s going to do what?
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90 100%OfAcceptsCaptured
Volume Selected
Jewellery Model Gains Chart - Test
Random Selection
Modelled Selection
Rewarding the build up play
1st click Order
PPC
generic
Display
Impression AffiliateAffiliate
Day 1 Day 30
Display
Click DTU
Example order path
Last Click
Last
Marketing
Click
First ClickAverage Average Average Average Average AverageBathtub
Bathtub Bathtub Bathtub Bathtub
Bathtub
Why are people in the shop?
The devil drapes art deco
It’s all about you
Re-ordering the navigation
based on propensity modeling
Weather, region, gender
targeted content
Collection of customer
preference data
Testing different language
and persuasive messaging
Postcode targeted APR
Brand take-over based on
propensity modeling
Personalised USPs such as
available balance and APR
Using personalised
recommendations to up sell
and cross sell
Propensity based homepage
offers
Getting to know you
And there’s more
Influencer
modelling
Price optimisation
Customer
value
modelling
Customer
network
modelling
Stock
forecasting
Credit
risk
modelling
Sentiment
analysis
Fraud
identification
Pay per click
keyword bidding
optimisation
Econometrics
modelling
Customer lifestage
modelling
Customer
lifecycle
modelling
Returns
prediction
Thank you
www.shopdirect.com
@ShopDirect

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BIG DATA IN RETAIL - MATTHEW DOUBLEDAY

  • 1. Data science in retail – a Shop Direct perspective Matthew Doubleday, Lead Data Scientist
  • 2. Our transformation 2003-07 Integration and consolidation 2007-12 Catalogue to etail capabilities 2013 onwards Very - explosive growth +20% SURVIVAL-LED BUSINESS-LED CUSTOMER-LED TRANSFORM A CATALOGUE BUISINESS INTO A WORLD CLASS DIGTIAL RETAILER 100% digital
  • 3. Who’s going to do what? 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100%OfAcceptsCaptured Volume Selected Jewellery Model Gains Chart - Test Random Selection Modelled Selection
  • 4. Rewarding the build up play 1st click Order PPC generic Display Impression AffiliateAffiliate Day 1 Day 30 Display Click DTU Example order path Last Click Last Marketing Click First ClickAverage Average Average Average Average AverageBathtub Bathtub Bathtub Bathtub Bathtub Bathtub
  • 5. Why are people in the shop?
  • 6. The devil drapes art deco
  • 7. It’s all about you Re-ordering the navigation based on propensity modeling Weather, region, gender targeted content Collection of customer preference data Testing different language and persuasive messaging Postcode targeted APR Brand take-over based on propensity modeling Personalised USPs such as available balance and APR Using personalised recommendations to up sell and cross sell Propensity based homepage offers
  • 9. And there’s more Influencer modelling Price optimisation Customer value modelling Customer network modelling Stock forecasting Credit risk modelling Sentiment analysis Fraud identification Pay per click keyword bidding optimisation Econometrics modelling Customer lifestage modelling Customer lifecycle modelling Returns prediction