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Knocking down the Email
    Strategy barrier
       Tim Watson
Why this session?
     What do you view as the main barriers to effective email marketing?




Econsultancy Email Census 2012
A little bit about me
Business objectives




        May-2012 Jun-2012 …
               May      June      …
                               July       Jun-2013
                                      August
Email marketing objectives
                   (examples)

•   Grow permission database
•   Move one time purchases to multiple
•   Reduce unsubscribes
•   Win-back
•   Get product reviews
•   Reduce abandoned baskets
•   Move DM to online
•   Improve customer insight
Email marketing hierarchy

  Business and                  Goal setting
   marketing          Value        and
   objectives                   evaluation
                    Contact &
                    Relevance
                 Message, copy &
                    creative
               Deliverability &
           Governance and integration
          permission management
Email marketing hierarchy

  Business and
   marketing
   objectives
Email marketing hierarchy

  Business and
   marketing
   objectives




              Deliverability &
          permission management
Email marketing hierarchy

  Business and
   marketing
   objectives




                 Message, copy &
                    creative
              Deliverability &
          permission management
Email marketing hierarchy

  Business and
   marketing
   objectives
                    Contact &
                    Relevance
                 Message, copy &
                    creative
              Deliverability &
          permission management
Email marketing hierarchy

  Business and
   marketing          Value
   objectives
                    Contact &
                    Relevance
                 Message, copy &
                    creative
              Deliverability &
          permission management
Email marketing hierarchy

  Business and                  Goal setting
   marketing          Value        and
   objectives                   evaluation
                    Contact &
                    Relevance
                 Message, copy &
                    creative
              Deliverability &
          permission management
Email marketing hierarchy

  Business and                     Goal setting
   marketing           Value          and
   objectives                      evaluation
                    Contact &
                    Relevance
                 Message, copy &
                    creative
              Deliverability &
           Governance and integration
          permission management
What’s in
it for me?
What’s in it for me = Value
Email value proposition
•   Be first to know
•   Special offers
•   Competitions
•   Deals and savings
•   Birthday gift
•   Convenience
•   New product information
•   Value add content
•   Exclusivity & privileges
Getting a head start
Give a little help
Areas of focus
Aim

Steve Jobs advice:
    Focus on 3
How to focus and take aim
Map your customer journey


                                    Regular
                          One      purchase
                        purchase
                                                 Lapsing
             Prospect


     Signup                                                 Lapsed

Scenario 1    1,000      7,000     15,000     2,000        5,000
Scenario 2    10,000     1,000     12,000     2,000        25,000
Scenario 1 vs 2
                                  Scenario 1 Scenario 2
Win-back lapsed
           Lapsed                       5000       25000
                             5%          250        1250

          Existing regular             15000       12000
          New regular                  15250       13250

Convert one time to regular
          One purchase                  7000        1000
                          15%           1050         150

          Existing regular             15000       12000
          New regular                  16050       12150
Database growth questions
•   Value of an email address?
•   What is growth per month?
•   What is loss per month? What are causes?
•   Address count with no email/permission?
•   What % web visitors signup?
•   How many opt-out during purchase?
•   Performance and value by signup source?
•   What incentives increase signup?
•   Have existing processes been optimised?
•   Have all contact points been reviewed?
Prospect & one purchase
•   When to use an incentive?
•   What is the normal time before purchase?
•   What is most common product?
•   What are most common first purchase?
•   What incentive to use?
Regular customers
•   What is the customer segmentation?
•   Who are the best customers?
•   What revenue % is from regular?
•   What revenue is from best?
•   How to cross sell based on history?
•   What sort of up sell?
Customer segmentation




                  Photo credit: CraigMarston Flickr
Customer insight
1. Categorise products
2. Collate customer transactions by categories
3. Overlay customer profile
Transaction data drill-down
Average spend per customer per segment

                   Customer criteria

Product category   Male           Female      25-35      …     ALL

A                      ÂŁ12.00        ÂŁ11.00     ÂŁ23.00       ÂŁ11.50

B                         ÂŁ2.00       ÂŁ5.00      ÂŁ0.80        ÂŁ4.30

C                  …
Customer classification
1. Demographic
   – Population characteristics, age, gender, social class
2. Preferences
   – Own expressed preference.
3. Behavioural
   – Purchasing behaviour e.g. value of products, product
     category, loyalty, RFM
4. Value
   – Lifetime value, last 12 months gross margin
Customer classification (2)
1. Geographic
   – Area e.g. country, city, urban/rural, north-south
2. Psychographic
   – Psychological factors e.g. lifestyle, personality
3. Geodemographic
   – Combine the places where people live with their
      underlying characteristics and behaviour e.g. Acorn,
      Mosaic and Prizm
4. Attitudinal and needs
   – Risk in financial services, views on gambling
Campaign data drill down

Campaign objective …
Subject line       …
                       Open   Click
ALL                     15%    5%
Male                    10%    4%
Female                  20%    7%
Single                   8%    2%
…
Data collection
Analysis of intervals
          First      Last                                   Purchase
          purchase   purchase       Quantity purchases interval (days)
  Sue      04/04/2011 15/01/2012                        5        57.2
  John     02/11/2011 04/04/2012                        2          77
  Nigel    03/12/2011 30/01/2012                        1          58
  Sarah    12/05/2011 25/10/2011                        8       20.75
  …
                                   Average                      53.24
                                   Standard deviation           23.51

84% of people who buy again will do so within
period average+standard deviation. In this case
76 days.
Contact policy
• Triggers and transactional
   – Confirmation
   – Welcome campaign series
   – Abandon basket
   – Replenishment and reminders
   – Post purchase
   – Pre/post event
   – Web action response
• Bulk email frequency
• Follow up, non-openers & clickers.
Optimisation
A       or         B



                       >
                       20%
Have a process



   Define
 Objective                     Develop      Execute and
               Create test                                Review what
    and                       tests and        report
               hypotheses                                   and why
optimisation                 define cells     results
   metric
Have a plan

Month 1 Month 2 Month 3 Month 4 Month 5 Month 6
Subject   Subject     Calls to   Subject   Use of    Time of
lines.    lines.      action     lines.    images.   day/day
From      Calls to    size,      Email     Email     of week.
name.     action      placeme    length    format.
          copy        nt.
                      Offers.
Metrics & measurement




        ÂŁ
How long will all this take?
Very small list size                                                2 to 3 days
Limited number of products/services
Niche market
Online pure play business
Small to medium list                                                3 to 6 days
Wider range of products/services with limited distinct categories
Wider demographic
Online pure play
Medium to large list                                                5 to 10 days
Several complementing categories of products/services
Integrated marketing
Online and offline
Large list                                                          10+ days
Large range products
Wide customer demograhpic
Multi-channel integrated marketing
Online and offline
Customer hierarchy


        Value                     Signup
     Contact &                  Message
     Relevance
   Message, copy &              Relevance
      creative
    Deliverability &      Value. What’s in it for
permission management             me
Thank you for listening
Questions?   Let’s connect…
             • Twitter
                – @tawatson
             • LinkedIn
                – http://uk.linkedin.com/in/tawatson
             • Web
                – www.zettasphere.com
             • Blogs
                – dmaemailblog.com/author/tim-watson/
                – www.smartinsights.com/author/tim-watson/

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Knocking down the Email Strategy barrier

  • 1. Knocking down the Email Strategy barrier Tim Watson
  • 2. Why this session? What do you view as the main barriers to effective email marketing? Econsultancy Email Census 2012
  • 3. A little bit about me
  • 4.
  • 5. Business objectives May-2012 Jun-2012 … May June … July Jun-2013 August
  • 6. Email marketing objectives (examples) • Grow permission database • Move one time purchases to multiple • Reduce unsubscribes • Win-back • Get product reviews • Reduce abandoned baskets • Move DM to online • Improve customer insight
  • 7. Email marketing hierarchy Business and Goal setting marketing Value and objectives evaluation Contact & Relevance Message, copy & creative Deliverability & Governance and integration permission management
  • 8. Email marketing hierarchy Business and marketing objectives
  • 9. Email marketing hierarchy Business and marketing objectives Deliverability & permission management
  • 10. Email marketing hierarchy Business and marketing objectives Message, copy & creative Deliverability & permission management
  • 11. Email marketing hierarchy Business and marketing objectives Contact & Relevance Message, copy & creative Deliverability & permission management
  • 12. Email marketing hierarchy Business and marketing Value objectives Contact & Relevance Message, copy & creative Deliverability & permission management
  • 13. Email marketing hierarchy Business and Goal setting marketing Value and objectives evaluation Contact & Relevance Message, copy & creative Deliverability & permission management
  • 14. Email marketing hierarchy Business and Goal setting marketing Value and objectives evaluation Contact & Relevance Message, copy & creative Deliverability & Governance and integration permission management
  • 16. What’s in it for me = Value
  • 17. Email value proposition • Be first to know • Special offers • Competitions • Deals and savings • Birthday gift • Convenience • New product information • Value add content • Exclusivity & privileges
  • 18. Getting a head start
  • 22. How to focus and take aim
  • 23. Map your customer journey Regular One purchase purchase Lapsing Prospect Signup Lapsed Scenario 1 1,000 7,000 15,000 2,000 5,000 Scenario 2 10,000 1,000 12,000 2,000 25,000
  • 24. Scenario 1 vs 2 Scenario 1 Scenario 2 Win-back lapsed Lapsed 5000 25000 5% 250 1250 Existing regular 15000 12000 New regular 15250 13250 Convert one time to regular One purchase 7000 1000 15% 1050 150 Existing regular 15000 12000 New regular 16050 12150
  • 25. Database growth questions • Value of an email address? • What is growth per month? • What is loss per month? What are causes? • Address count with no email/permission? • What % web visitors signup? • How many opt-out during purchase? • Performance and value by signup source? • What incentives increase signup? • Have existing processes been optimised? • Have all contact points been reviewed?
  • 26. Prospect & one purchase • When to use an incentive? • What is the normal time before purchase? • What is most common product? • What are most common first purchase? • What incentive to use?
  • 27. Regular customers • What is the customer segmentation? • Who are the best customers? • What revenue % is from regular? • What revenue is from best? • How to cross sell based on history? • What sort of up sell?
  • 28. Customer segmentation Photo credit: CraigMarston Flickr
  • 29. Customer insight 1. Categorise products 2. Collate customer transactions by categories 3. Overlay customer profile
  • 30. Transaction data drill-down Average spend per customer per segment Customer criteria Product category Male Female 25-35 … ALL A ÂŁ12.00 ÂŁ11.00 ÂŁ23.00 ÂŁ11.50 B ÂŁ2.00 ÂŁ5.00 ÂŁ0.80 ÂŁ4.30 C …
  • 31. Customer classification 1. Demographic – Population characteristics, age, gender, social class 2. Preferences – Own expressed preference. 3. Behavioural – Purchasing behaviour e.g. value of products, product category, loyalty, RFM 4. Value – Lifetime value, last 12 months gross margin
  • 32. Customer classification (2) 1. Geographic – Area e.g. country, city, urban/rural, north-south 2. Psychographic – Psychological factors e.g. lifestyle, personality 3. Geodemographic – Combine the places where people live with their underlying characteristics and behaviour e.g. Acorn, Mosaic and Prizm 4. Attitudinal and needs – Risk in financial services, views on gambling
  • 33. Campaign data drill down Campaign objective … Subject line … Open Click ALL 15% 5% Male 10% 4% Female 20% 7% Single 8% 2% …
  • 35. Analysis of intervals First Last Purchase purchase purchase Quantity purchases interval (days) Sue 04/04/2011 15/01/2012 5 57.2 John 02/11/2011 04/04/2012 2 77 Nigel 03/12/2011 30/01/2012 1 58 Sarah 12/05/2011 25/10/2011 8 20.75 … Average 53.24 Standard deviation 23.51 84% of people who buy again will do so within period average+standard deviation. In this case 76 days.
  • 36. Contact policy • Triggers and transactional – Confirmation – Welcome campaign series – Abandon basket – Replenishment and reminders – Post purchase – Pre/post event – Web action response • Bulk email frequency • Follow up, non-openers & clickers.
  • 37. Optimisation A or B > 20%
  • 38. Have a process Define Objective Develop Execute and Create test Review what and tests and report hypotheses and why optimisation define cells results metric
  • 39. Have a plan Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Subject Subject Calls to Subject Use of Time of lines. lines. action lines. images. day/day From Calls to size, Email Email of week. name. action placeme length format. copy nt. Offers.
  • 41. How long will all this take? Very small list size 2 to 3 days Limited number of products/services Niche market Online pure play business Small to medium list 3 to 6 days Wider range of products/services with limited distinct categories Wider demographic Online pure play Medium to large list 5 to 10 days Several complementing categories of products/services Integrated marketing Online and offline Large list 10+ days Large range products Wide customer demograhpic Multi-channel integrated marketing Online and offline
  • 42. Customer hierarchy Value Signup Contact & Message Relevance Message, copy & Relevance creative Deliverability & Value. What’s in it for permission management me
  • 43.
  • 44. Thank you for listening Questions? Let’s connect… • Twitter – @tawatson • LinkedIn – http://uk.linkedin.com/in/tawatson • Web – www.zettasphere.com • Blogs – dmaemailblog.com/author/tim-watson/ – www.smartinsights.com/author/tim-watson/