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TARGETING 
throughout the 
THE CUSTOMER JOURNEY 
Alistair Simpson
More than 838 Billion Marketing 
Messages Sent in the US in 2013 
(Source: Forrester)
Around 84% of all Email Traffic will be spam 
(Source: The Radicati Group)
What is considered Spam?
Approach? 
Hunt like this guy…
Proviso: 
Don’t actually hunt your users…
INTRODUCTION
Digital Marketing Professional
My Work
CRM Manager
Nearly 8 Million Email Subscribers 
Nearly 400,000 Facebook Fans
Nearly 4,000 Brands
Thousands of Offers
Connecting the Right Offer
To the Right Person
At the Right Time
A Very Romantic Notion
What’s the Plan? 
Data 
Customer Profiling 
Targeting in Practise 
Customer Journeys 
What’s Next?
DATA
What are the business needs? 
What do you want to know about users? 
What products do you want to build?
What data are you collecting? 
How is the data structured? 
Is it reliable? 
Is it useful? 
How are you using it?
Customer Profiling
Personal 
Demographic 
Behavioural 
Preference Based
Value Engagement 
- LTV 
- AOV 
- Number of 
Transactions 
- Visits 
- Click Depth 
- Session 
Duration 
- Recency 
- Frequency 
- Loyalty
Customer Profiling 
Mid Value, 
Mid 
Engagement 
Engagement 
Value 
High Value, 
Low 
Engagement 
High Value, 
Mid 
Engagement 
High Value, 
High 
Engagement 
Mid Value, 
Low 
Engagement 
Low Value, 
Low 
Engagement 
Low Value, 
Mid 
Engagement 
Mid Value, 
High 
Engagement 
Low Value, 
High 
Engagement
Engagement Focus - Content 
Mid Value, 
Mid 
Engagement 
Engagement 
Value 
High Value, 
Low 
Engagement 
High Value, 
Mid 
Engagement 
High Value, 
High 
Engagement 
Mid Value, 
Low 
Engagement 
Low Value, 
Low 
Engagement 
Low Value, 
Mid 
Engagement 
Mid Value, 
High 
Engagement 
Low Value, 
High 
Engagement
Value Focus – Online Retail 
Mid Value, 
Mid 
Engagement 
Engagement 
Value 
High Value, 
Low 
Engagement 
High Value, 
Mid 
Engagement 
High Value, 
High 
Engagement 
Mid Value, 
Low 
Engagement 
Low Value, 
Low 
Engagement 
Low Value, 
Mid 
Engagement 
Mid Value, 
High 
Engagement 
Low Value, 
High 
Engagement
Strategy Definition 
Personalisation 
Engagement 
Value 
Multi- 
Channel 
Approach 
Loyalty + 
Cross Sell 
VIP 
Programs 
Competitions 
Win-back 
Share & 
Save 
Stretch & 
Save 
Time 
Limited 
Deals
Targeting – In Practise
Already we’ve seen many 
ways to profile customers
But we’re going to focus on 
BEHAVIOURIAL TARGETING
Targeting – Level 1 
All Users 
Interacted with 
Target Brand / 
Product 
Active 
Site 
Email 
App
Targeting – Level 2 
1 
2 
3 
4 
5 
6 
7 
1. Target Clickers Only 
2. Related A, Other shoe 
retailers 
3. Related B, Other 
retailers who sell shoes 
4. Target & Related A 
5. Target & Related B 
6. Related A + Related B, 
Not Target 
7. Clicked All
Targeting – Level 2 – Results
Targeting – Level 2 – Results
Targeting – Level 2 – Results
Brand / Product Relationship is 
informed by the Data, 
not human intuition
Targeting – Test Results 
Users that had interacted with more than 1 
brand, perform better than users who had 
just clicked the Target brand 
- The ‘ALL’ group had a… 
- 34% higher Open Rate, 
- 36% higher CTR, 
- 13% higher Conversion Rate 
…than the ‘Target only’ group
The Customer Journey
The Customer Journey – Part 1
The Customer Journey – Then What? 
1st 
Interaction 
2nd 
Interaction 
3rd 
Interaction
The Customer Journey – Retargeting
The Customer Journey – Post-Sale
Multi-Stage Approach
Widen the funnel
What’s Next?
Intent
Large Scale
Automation
Takeaways
Make Data Useful 
Profile & Strategise 
Target Related Groups 
Multi-Stage – Widen the Funnel 
The Future’s Bright
Contact Me: 
Email: 
asimpson@rmn.com 
Google+: 
Alistair Simpson 
LinkedIN: 
Alistair Simpson

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