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Christian Rodericks
June 2016
E-commerce Customer and
Marketing Insights
The one metric to rule them all….
Confidential 2
Problem
Traffic, Clicks and Sales metrics provide limited
insight into channel and customer profitability
‘Stacked’ marketing costs and contribution
margins are missing from the equation.
In-store customer and promotional insights
aren’t tied-into the digital world
No easy way exists to view the most profitable
channels and customers
Confidential 3
Solution
A platform where marketers can quickly
gain channel and customer insights to:
Increase
Profitability
Identify the most
profitable channels and
customers
Increase Share
of Wallet
Retain and replicate the
best customers and
channels
Optimize Spend
Understand stacked
digital, loyalty and
promotional costs
Confidential 4
It starts with understanding the…
Contribution Margin
In Cart Sales
Product Margin
Gross Margin
- Remove COGS
- Remove Cancelled & Returned Margins
+ Add Variable Marketing Spend
+ Payments @ x%
Maturity
Confidential 5
But - Variable Marketing Spend is Slippery
The eCom Data Landscape Is Vast
•  Segment customer base using
static data
Member Acquisition & RetentionMember Brand and Member Engagement
Media, Member & Product
Profitability
•  Segment customer base using
product / event data.
•  Segment customer base using
CPA/LTV data.
•  Segment customer base using
dynamic data.
Inventory
COGS
Product/Brand
Margin
Campaign Tracking/
Response
Orders
Acquisition Channel
Browse
Add to Cart
Events
LTV
Media Channel
Channel CPA
Customer Segment
Fraud
Geography
Member / Tombstone
Category Preferences
Loyalty
Demographic
Social
Shipping Timelines Promotions/Offers
Postal Code / Geo
Visit
Cancels & Returns
Engagement
Predictive Models
Repeat
Product Reviews
Membership Type
Acquisition Date
Channel CPO
Affiliate Costs
eCom
ESP CSR OMS Google Other Calc Affiliates
Pricing / %age off
Web
Analytic
s
Actual COGS
GL
Payment
A/B Test
Product
Recommendation Credits
Confidential 7
What are my stacked costs to acquire &
retain customers?
Understand the TRUE
Stacked Cost Per Order
(CPO) – including Promos,
Loyalty, Affiliate, SEM, etc..
Confidential 8
Channel Sales $ Margin $
Last Click
Costs
Loyalty &
Rewards
Costs
Commissions
Costs
Profitability
$1000 $800 ($450) ($200) ($50) 0.05
$500 $300 ($300) ($100) ($200) -0.6
$100 $80 ($0) ($15) ($0) 0.6
What are my most profitable channels?
CRM
SEM/Affiliate
Organic & Direct
Confidential 9
Who are my most profitable customers?
Category Sales $
Gross
Margin $
Last Click
Costs
Loyalty &
Rewards
Costs
Promos
Costs
Profitabilit
y Ratio
$1000 $800 ($450) ($200) ($50) 0.05
$500 $300 ($300) ($100) ($200) -0.6
$100 $80 ($0) ($15) ($0) 0.6
1 2 3 4+
RetentionLTP
60%
20%
15%
5%
Life Time Contribution Margin
and Retention Scores for
every customer
What are the top 10% of
profitable customers buying?
How often do my
most/least profitable
customers repeat?
Confidential 10
Methodology
VisualizationData Collection and Analysis
Risk Appetite
Business Constraints
Regulatory Drivers
Industry Practices
Technology Trends
Economic and
Environment Forecast
Geographical
Considerations
Acquisition Strategy
Retention Strategy
Segmentation and
Personalization
Media and Offer Spend
Optimization
Customer Life Time Value
KPIs
Channel Profitability
Brand Profitability
Category Profitability
Customer Analysis
Cost Analysis
Organization Analysis
P&L
Business Metrics
OUTPUTSINPUTS
Order Analysis
Confidential 11
Sample Marketing Analysis Dashboard
Confidential 12
Sample Life Time Contribution Margin
Analysis
Year 1 Year 2
Higher Repetition &
More CM+ Customers
CM Climbing Up
Acquiring Profitable Customers from
the start
Large # of CM –ve
Acquisitions
Pattern of negative
CM, repeating
customers
Small % of CM +ve
customers
•  Customer Retention Scores and Total Contribution Margin Values are plotted and grouped
•  % increase Contribution Margin Positive Customers
Confidential 13
Sample KPI Trend Dashboard
Confidential 14
Sample Active & Repeat Analysis
Confidential 15
Sample Fraud Dashboard
Confidential 16
Sample Category Performance
Dashboard
Confidential 17
About
As a founding partner at SHOP.CA, Christian helped disrupt the Canadian eCommerce industry by
helping build Canada's first and largest online multi-merchant marketplace. Christian helped conceive
and build SHOP.CA's vision, mission, operating model, unique intellectual property, and the team that
helped secure over $72MM CAD in funding. As part of the Executive Leadership Team, Christian is
currently responsible for shaping SHOP.CA’s growth strategy by using data, analytics and insights to
anticipate and capitalize on market opportunities.
Prior to SHOP.CA, Christian was a Management Consultant with Deloitte and a Senior Product
Manager with Cyberplex and Janna Systems, which was acquired by Siebel for $1.4B CAD. Christian’s
academic background includes a Bachelor of Mathematics degree from the University of Waterloo and
he is PMP, ITIL and TOGAF certified.

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eCommerce Metrics That Matter

  • 1. Christian Rodericks June 2016 E-commerce Customer and Marketing Insights The one metric to rule them all….
  • 2. Confidential 2 Problem Traffic, Clicks and Sales metrics provide limited insight into channel and customer profitability ‘Stacked’ marketing costs and contribution margins are missing from the equation. In-store customer and promotional insights aren’t tied-into the digital world No easy way exists to view the most profitable channels and customers
  • 3. Confidential 3 Solution A platform where marketers can quickly gain channel and customer insights to: Increase Profitability Identify the most profitable channels and customers Increase Share of Wallet Retain and replicate the best customers and channels Optimize Spend Understand stacked digital, loyalty and promotional costs
  • 4. Confidential 4 It starts with understanding the… Contribution Margin In Cart Sales Product Margin Gross Margin - Remove COGS - Remove Cancelled & Returned Margins + Add Variable Marketing Spend + Payments @ x% Maturity
  • 5. Confidential 5 But - Variable Marketing Spend is Slippery
  • 6. The eCom Data Landscape Is Vast •  Segment customer base using static data Member Acquisition & RetentionMember Brand and Member Engagement Media, Member & Product Profitability •  Segment customer base using product / event data. •  Segment customer base using CPA/LTV data. •  Segment customer base using dynamic data. Inventory COGS Product/Brand Margin Campaign Tracking/ Response Orders Acquisition Channel Browse Add to Cart Events LTV Media Channel Channel CPA Customer Segment Fraud Geography Member / Tombstone Category Preferences Loyalty Demographic Social Shipping Timelines Promotions/Offers Postal Code / Geo Visit Cancels & Returns Engagement Predictive Models Repeat Product Reviews Membership Type Acquisition Date Channel CPO Affiliate Costs eCom ESP CSR OMS Google Other Calc Affiliates Pricing / %age off Web Analytic s Actual COGS GL Payment A/B Test Product Recommendation Credits
  • 7. Confidential 7 What are my stacked costs to acquire & retain customers? Understand the TRUE Stacked Cost Per Order (CPO) – including Promos, Loyalty, Affiliate, SEM, etc..
  • 8. Confidential 8 Channel Sales $ Margin $ Last Click Costs Loyalty & Rewards Costs Commissions Costs Profitability $1000 $800 ($450) ($200) ($50) 0.05 $500 $300 ($300) ($100) ($200) -0.6 $100 $80 ($0) ($15) ($0) 0.6 What are my most profitable channels? CRM SEM/Affiliate Organic & Direct
  • 9. Confidential 9 Who are my most profitable customers? Category Sales $ Gross Margin $ Last Click Costs Loyalty & Rewards Costs Promos Costs Profitabilit y Ratio $1000 $800 ($450) ($200) ($50) 0.05 $500 $300 ($300) ($100) ($200) -0.6 $100 $80 ($0) ($15) ($0) 0.6 1 2 3 4+ RetentionLTP 60% 20% 15% 5% Life Time Contribution Margin and Retention Scores for every customer What are the top 10% of profitable customers buying? How often do my most/least profitable customers repeat?
  • 10. Confidential 10 Methodology VisualizationData Collection and Analysis Risk Appetite Business Constraints Regulatory Drivers Industry Practices Technology Trends Economic and Environment Forecast Geographical Considerations Acquisition Strategy Retention Strategy Segmentation and Personalization Media and Offer Spend Optimization Customer Life Time Value KPIs Channel Profitability Brand Profitability Category Profitability Customer Analysis Cost Analysis Organization Analysis P&L Business Metrics OUTPUTSINPUTS Order Analysis
  • 11. Confidential 11 Sample Marketing Analysis Dashboard
  • 12. Confidential 12 Sample Life Time Contribution Margin Analysis Year 1 Year 2 Higher Repetition & More CM+ Customers CM Climbing Up Acquiring Profitable Customers from the start Large # of CM –ve Acquisitions Pattern of negative CM, repeating customers Small % of CM +ve customers •  Customer Retention Scores and Total Contribution Margin Values are plotted and grouped •  % increase Contribution Margin Positive Customers
  • 13. Confidential 13 Sample KPI Trend Dashboard
  • 14. Confidential 14 Sample Active & Repeat Analysis
  • 16. Confidential 16 Sample Category Performance Dashboard
  • 17. Confidential 17 About As a founding partner at SHOP.CA, Christian helped disrupt the Canadian eCommerce industry by helping build Canada's first and largest online multi-merchant marketplace. Christian helped conceive and build SHOP.CA's vision, mission, operating model, unique intellectual property, and the team that helped secure over $72MM CAD in funding. As part of the Executive Leadership Team, Christian is currently responsible for shaping SHOP.CA’s growth strategy by using data, analytics and insights to anticipate and capitalize on market opportunities. Prior to SHOP.CA, Christian was a Management Consultant with Deloitte and a Senior Product Manager with Cyberplex and Janna Systems, which was acquired by Siebel for $1.4B CAD. Christian’s academic background includes a Bachelor of Mathematics degree from the University of Waterloo and he is PMP, ITIL and TOGAF certified.