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VICKY BROCK |DATA FOUNDER & GEEK
@BROCKVICKY HELLO@VICKYBROCK.COM
@brockvicky
£72.94 of
beer fuelled
shopping
Will Vicky keep what she bought?
@brockvicky
It is not really a sale until the customer decides to keep it
and that decision is taken in a data black hole
Artificial
Intelligence
Deductive
Reasoning
Knowledge
Representation
Planning
Perception:
Computer
Vision
Machine
Learning
Robotics:
Motion and
Manipulation
Natural
Language
Processing
Social
Intelligence
Supervised
Learning
Decision Tree
Learning
Association
Rule Learning
Support Vector
Machines
Unsupervised
Learning
Clustering
Similarity and
Metric Learning
Genetic
Algorithms
Reinforcement
Learning
Bayesian
Networks
Neural
Networks
Deep Learning
@brockvicky
@brockvicky
Clustering for Segmentation
Data SegmentsIteration 1 Iteration 2 Iteration 3
Customer Attribute Customer Attribute Customer Attribute Customer Attribute Customer Attribute
CustomerAttribute
CustomerAttribute
CustomerAttribute
CustomerAttribute
CustomerAttribute
@brockvicky
Example Segments
Average Customer Sales
(Annual)
Average Customer Actual
Sales Less Returns Costs
(Annual)
Average Purchase Frequency
(Annual)
Keepers
Highest Value £908.3 £908.3 2
Super Loyal £389.9 £389.9 7
Bundler £205.1 £205.1 2
Potential Sensitive £147.4 £147.4 3
Thrifty £ 68.6 £ 68.6 2
Returners
Accidentals £345.0 £297.5 6
Low Risk Explorers £287.0 £200.7 5
High Risk Explorers £312.1 £171.5 5
Typical Overbuyers £320.9 £129.4 4
Serious Overbuyers £368.1 £ 98.2 4
Delinquents £405.1 £ 56.9 4
Negative Value £189.7 -£ 6.8 3
Accessories
Purchased 96 items
Gross Sales = £1,144
Womenswear
Purchased 104 items
Gross Sales = £1,845
Menswear
Purchased 28 items
Gross Sales = £349
Health & Beauty
Purchased 8 items
Gross Sales = £352
After refunds & ops costs
£23
Total Sales
£3,690
How Can It Be Used?
After cost to acquire & retain
- £7
-£45 after refunds & costs -£223 after refunds & costs
-£61 after refunds & costs £352 Net - it get’s kept
@brockvicky
Decision trees operate by splitting
data on conditions
Random Forests are collections of
Decision Trees utilising different
subsets of features
Comparing the outputs from each tree in the Forest, exposes
relative importance of each feature
Returns Drivers @brockvicky
● As customers become loyal they
tend to return products more often
● Customers returning their orders
are less likely to churn
● Exception is return-sensitive
customers those who churn when
they return an item
Churn Rate Analysis
“We LOVE returns - they make us money.
Returns are a positive thing” ?
@brockvicky
● Marginal net revenue
declines as customers
place more orders
● Costs suddenly become
very very important
@brockvicky
Churn Rate Analysis
What kind of costs? @brockvicky
Target for keeps
Suppress or nudge loss making behaviours
Service to reduce churn, not reduce margin
Policy and service optimisation
SANITY NOT VANITY
@brockvicky
THANK YOU
VICKY BROCK |DATA FOUNDER & GEEK
HELLO@VICKYBROCK.COM
VISIT MY BLOG: VICKYBROCK.COM/BLOG
@brockvicky

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Vicky Brock Customer Profitability Analytics eMetrics London 17

  • 1. VICKY BROCK |DATA FOUNDER & GEEK @BROCKVICKY HELLO@VICKYBROCK.COM
  • 3.
  • 4.
  • 5.
  • 6. £72.94 of beer fuelled shopping Will Vicky keep what she bought? @brockvicky
  • 7. It is not really a sale until the customer decides to keep it and that decision is taken in a data black hole
  • 8. Artificial Intelligence Deductive Reasoning Knowledge Representation Planning Perception: Computer Vision Machine Learning Robotics: Motion and Manipulation Natural Language Processing Social Intelligence Supervised Learning Decision Tree Learning Association Rule Learning Support Vector Machines Unsupervised Learning Clustering Similarity and Metric Learning Genetic Algorithms Reinforcement Learning Bayesian Networks Neural Networks Deep Learning @brockvicky
  • 10. Clustering for Segmentation Data SegmentsIteration 1 Iteration 2 Iteration 3 Customer Attribute Customer Attribute Customer Attribute Customer Attribute Customer Attribute CustomerAttribute CustomerAttribute CustomerAttribute CustomerAttribute CustomerAttribute @brockvicky
  • 11. Example Segments Average Customer Sales (Annual) Average Customer Actual Sales Less Returns Costs (Annual) Average Purchase Frequency (Annual) Keepers Highest Value £908.3 £908.3 2 Super Loyal £389.9 £389.9 7 Bundler £205.1 £205.1 2 Potential Sensitive £147.4 £147.4 3 Thrifty £ 68.6 £ 68.6 2 Returners Accidentals £345.0 £297.5 6 Low Risk Explorers £287.0 £200.7 5 High Risk Explorers £312.1 £171.5 5 Typical Overbuyers £320.9 £129.4 4 Serious Overbuyers £368.1 £ 98.2 4 Delinquents £405.1 £ 56.9 4 Negative Value £189.7 -£ 6.8 3
  • 12. Accessories Purchased 96 items Gross Sales = £1,144 Womenswear Purchased 104 items Gross Sales = £1,845 Menswear Purchased 28 items Gross Sales = £349 Health & Beauty Purchased 8 items Gross Sales = £352 After refunds & ops costs £23 Total Sales £3,690 How Can It Be Used? After cost to acquire & retain - £7 -£45 after refunds & costs -£223 after refunds & costs -£61 after refunds & costs £352 Net - it get’s kept @brockvicky
  • 13. Decision trees operate by splitting data on conditions Random Forests are collections of Decision Trees utilising different subsets of features Comparing the outputs from each tree in the Forest, exposes relative importance of each feature Returns Drivers @brockvicky
  • 14. ● As customers become loyal they tend to return products more often ● Customers returning their orders are less likely to churn ● Exception is return-sensitive customers those who churn when they return an item Churn Rate Analysis “We LOVE returns - they make us money. Returns are a positive thing” ? @brockvicky
  • 15. ● Marginal net revenue declines as customers place more orders ● Costs suddenly become very very important @brockvicky Churn Rate Analysis
  • 16. What kind of costs? @brockvicky
  • 17. Target for keeps Suppress or nudge loss making behaviours Service to reduce churn, not reduce margin Policy and service optimisation SANITY NOT VANITY @brockvicky
  • 18. THANK YOU VICKY BROCK |DATA FOUNDER & GEEK HELLO@VICKYBROCK.COM VISIT MY BLOG: VICKYBROCK.COM/BLOG @brockvicky