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T H E                                  True Test for Incremental Lifetime Value Growth

Download the Whitepaper

MCA_preview1What You'll Discover

Performance validation testing observes the effects of new offers, new user experiences, new features and capabilities as they are introduced to consumers. E-commerce stakeholders use business intelligence dashboards and web analytics to evaluate whether a new feature has a desired effect.

In order to make informed decisions about implementing adoption-based technologies, retailers must conduct performance evaluation tests to track patterns across the entire customer life-cycle. A/B testing has been the gold standard in the e-commerce industry, yet the increasing complexity of modern websites and adoption-based technologies cause standard A/B test tend to break down.  Matched Cohort Analysis (MCA) offers better, more reliable performance validation because it avoids many of the technical pitfalls that cause A/B tests to break down.

Download the Matched Cohort Analysis Whitepaper to learn how Matched Cohort Analysis can give fashion retailers more accurate and reliable performance validation.

 

What's Inside

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The methodology of Matched Cohort Analysis allows for better analytical validation because it divides users into cohorts and tracks their behavior over time. Download the report to:

  • Learn about the limits of A/B testing how Matched Cohort Analysis is a better testing method over time.

  • Read a study that discusses the origins of Matched Cohort Analysis from the difference-in-difference approach.

  • Learn about the importance of grouping, stratifying, and tracking users to yield the most accurate results on the performance of new technologies, features, and offers.

Matched Cohort Analysis offers the best performance validation for adoption-based technologies that must be tracked across the customer’s lifecycle.

 

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Download the study to learn:

  • The value of Matched Cohort Analysis over time.
  • The importance of personalization technologies to grow consumer loyalty.
  • A clear analysis of the True Fit effect on your brand over time.
  • A better understanding of your shopper’s behaviors, and how to predict these patterns in the future.

    Download the whitepaper
Macys
Hudsons Bay
levis
Next
Under Armor
Ralph Lauren
Aldo
dsw
moda_operandi
kate_spade
New York
joes
garnet_hill
clarks
carhartt
Belk
Moosejaw
cole_haan
Bcbg
Brooks
Finishline
Ugg
Lanebryant
kenneth Cole
kohls's
Lands End
Dockers
Deckersbrands Web
Marks Web
Academy