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Building a Successful
Optimization Program
           December 6, 2012
            Brendan Regan
    Marketing Optimization Specialist
             Analytics Pros
The Next 50 Minutes…




                       Outputs
The Next 50 Minutes…


                          Outputs


• Preconceptions       • Applicable Smarts
• Agenda               • Actionable Steps
• Curiosity            • Motivation!
• Tour Guide
What We’ll Cover
1. A Common Definition
2. Philosophy of Optimization
3. What It Takes to Be Successful
4. Do These 4 Things Tomorrow
5. Q & A
A Common
   Definition
of Optimization
Because being on the same page is cool.
The Art and Science of
increasing the marketing
   efficiency of a web
         property.
“Why is it an Art and a
    Science?!?”
Unpacking the Definition
• Efficiency = more outputs w/ less inputs
• Outputs = sales, leads, subscriptions,
  engagement, etc.
• Higher efficiency = better Marketing ROI
• Often accomplished via A/B/n or MVT
  testing
  – Less ideal, but “change and observe”
    counts, too
If Marketing is an Engine…




    Image credit: Popular Hot Rodding
Optimization
 Philosophy
 Our beliefs on Optimization
Optimization Philosophy
1. Be data-driven
  – Data (quantitative & qualitative) drives testing,
    not opinion
2. Be agile
  – A small lift next week is better than a larger lift
    next year
3. Lift + Learn
  – It’s obviously about lift, but testing also provides
    valuable customer/business insights
Optimization Philosophy (cont’d)
4. Gamble
  – Some tests will lose
  – Greater risk = greater potential lift
5. Baby steps
  – Do what’s feasible ASAP, and build to more
    complex tests
6. A process, not a project
  – The long-term goal is testing as part of marketing
    operations
What It Takes
To Be Successful
in Optimization
     A framework
What It Takes to Be Successful in Optimization



                     People



             Tools         Process
What It Takes to Be Successful in Optimization




               People
People (Skill Sets)
•   Business/Marketing Acumen
•   Data Analysis
•   Heuristic/Usability/UX
•   Visual Design
•   Optimization SME
•   Copywriting
•   Technical SME
•   Project Management/Coordination
People (Skill Sets)
•   Business/Marketing Acumen
•   Data Analysis
•   Heuristic/Usability/UX
•   Visual Design
•   Optimization SME
•   Copywriting
•   Technical SME
•   Project Management/Coordination
What It Takes to Be Successful in Optimization




              Process
Process (See? It’s Simple!)

Business      Challenges   Hypotheses
                                         Analyze       Report
                                         Results      Findings
 Goals




  Target      Heuristic     Design
                                        Build Test
                                                      Next
 Audience      Data        Variations
                                                      Steps




  Usability                  Build
              Web Data                  Design Test
   Data                    Variations
Process (a simple one)
1.   Define the problem
2.   Research/observe the problem
3.   Form a hypothesis
4.   Conduct experiment
5.   Analyze experiment results     Look familiar?

6.   Form a conclusion
7.   Socialize results
Process (7 Simple Steps)
For more details:
http://brendan-regan.com/the-steps-of-the-
scientific-method-for-marketers/

Disclaimer: My personal blog’s snark does not represent the
views of Analytics Pros ;-)
Process (Different Models)
1. In House
  – Build a team
2. Outsourced
  – Leverage partners/vendors/agencies
3. Hybrid (most common)
  – Outsource specialized expertise
    •   Data analysis
    •   Testing SME
    •   Creative
What It Takes to Be Successful in Optimization




                Tools
Tools
• What technologies are needed to:
  – Coordinate resources
  – Design variations
  – Document requirements
  – Conduct experiment
  – Analyze results data
  – Socialize experiment results
Tools
• What technologies are needed to:
  – Coordinate resources
  – Design variations
  – Document requirements
  – Conduct experiment
  – Analyze results data
  – Socialize experiment results
Tools




        Etc.
Do These 4 Things Tomorrow
1. Conduct “gap analysis” on people
   skills and tools
 – Do we have enough resource
   allocation?
 – Do we need new tools?
 – Do we have all the necessary skills in-
   house?
Do These 4 Things Tomorrow
2. Get a testing tool in place
  – Do we have IT support?
  – Build vs. buy?
  – Price range?
Do These 4 Things Tomorrow
3. Build a business case (if necessary)
  – Case studies, calculators,
    presentations?
  – Opportunity cost?
  – Tying to corporate goals?
  – Who is scared of testing?
Do These 4 Things Tomorrow
4. Get resources and/or outside help
 –   Agency partners?
 –   Consultants/specialists?
 –   Testing vendors?
 –   Training?
Questions?
Comments?
 Stretch those vocal chords.
Follow Ups / Follow Me
• brendan.regan@analyticspros.com
• www.linkedin.com/in/brendanregan
BEST Practices - Testing & Optimization | Bredan Rendan

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BEST Practices - Testing & Optimization | Bredan Rendan

  • 1. Building a Successful Optimization Program December 6, 2012 Brendan Regan Marketing Optimization Specialist Analytics Pros
  • 2. The Next 50 Minutes… Outputs
  • 3. The Next 50 Minutes… Outputs • Preconceptions • Applicable Smarts • Agenda • Actionable Steps • Curiosity • Motivation! • Tour Guide
  • 4. What We’ll Cover 1. A Common Definition 2. Philosophy of Optimization 3. What It Takes to Be Successful 4. Do These 4 Things Tomorrow 5. Q & A
  • 5. A Common Definition of Optimization Because being on the same page is cool.
  • 6. The Art and Science of increasing the marketing efficiency of a web property.
  • 7. “Why is it an Art and a Science?!?”
  • 8.
  • 9. Unpacking the Definition • Efficiency = more outputs w/ less inputs • Outputs = sales, leads, subscriptions, engagement, etc. • Higher efficiency = better Marketing ROI • Often accomplished via A/B/n or MVT testing – Less ideal, but “change and observe” counts, too
  • 10. If Marketing is an Engine… Image credit: Popular Hot Rodding
  • 11. Optimization Philosophy Our beliefs on Optimization
  • 12. Optimization Philosophy 1. Be data-driven – Data (quantitative & qualitative) drives testing, not opinion 2. Be agile – A small lift next week is better than a larger lift next year 3. Lift + Learn – It’s obviously about lift, but testing also provides valuable customer/business insights
  • 13. Optimization Philosophy (cont’d) 4. Gamble – Some tests will lose – Greater risk = greater potential lift 5. Baby steps – Do what’s feasible ASAP, and build to more complex tests 6. A process, not a project – The long-term goal is testing as part of marketing operations
  • 14. What It Takes To Be Successful in Optimization A framework
  • 15. What It Takes to Be Successful in Optimization People Tools Process
  • 16. What It Takes to Be Successful in Optimization People
  • 17. People (Skill Sets) • Business/Marketing Acumen • Data Analysis • Heuristic/Usability/UX • Visual Design • Optimization SME • Copywriting • Technical SME • Project Management/Coordination
  • 18. People (Skill Sets) • Business/Marketing Acumen • Data Analysis • Heuristic/Usability/UX • Visual Design • Optimization SME • Copywriting • Technical SME • Project Management/Coordination
  • 19. What It Takes to Be Successful in Optimization Process
  • 20. Process (See? It’s Simple!) Business Challenges Hypotheses Analyze Report Results Findings Goals Target Heuristic Design Build Test Next Audience Data Variations Steps Usability Build Web Data Design Test Data Variations
  • 21. Process (a simple one) 1. Define the problem 2. Research/observe the problem 3. Form a hypothesis 4. Conduct experiment 5. Analyze experiment results Look familiar? 6. Form a conclusion 7. Socialize results
  • 22. Process (7 Simple Steps) For more details: http://brendan-regan.com/the-steps-of-the- scientific-method-for-marketers/ Disclaimer: My personal blog’s snark does not represent the views of Analytics Pros ;-)
  • 23. Process (Different Models) 1. In House – Build a team 2. Outsourced – Leverage partners/vendors/agencies 3. Hybrid (most common) – Outsource specialized expertise • Data analysis • Testing SME • Creative
  • 24. What It Takes to Be Successful in Optimization Tools
  • 25. Tools • What technologies are needed to: – Coordinate resources – Design variations – Document requirements – Conduct experiment – Analyze results data – Socialize experiment results
  • 26. Tools • What technologies are needed to: – Coordinate resources – Design variations – Document requirements – Conduct experiment – Analyze results data – Socialize experiment results
  • 27. Tools Etc.
  • 28. Do These 4 Things Tomorrow 1. Conduct “gap analysis” on people skills and tools – Do we have enough resource allocation? – Do we need new tools? – Do we have all the necessary skills in- house?
  • 29. Do These 4 Things Tomorrow 2. Get a testing tool in place – Do we have IT support? – Build vs. buy? – Price range?
  • 30. Do These 4 Things Tomorrow 3. Build a business case (if necessary) – Case studies, calculators, presentations? – Opportunity cost? – Tying to corporate goals? – Who is scared of testing?
  • 31. Do These 4 Things Tomorrow 4. Get resources and/or outside help – Agency partners? – Consultants/specialists? – Testing vendors? – Training?
  • 33. Follow Ups / Follow Me • brendan.regan@analyticspros.com • www.linkedin.com/in/brendanregan