How to choose the right experimentation platform

Written by:

David Mannheim

Promo Banner

The explosion of the marketing technology industry suggests there were about 3,500 martech tools in 2016. Now, there are over 7,040 solutions available; with 211 categorized as “Optimisation, Personalisation & Testing”. That’s why, at User Conversion, we looked into how to choose a platform and try to alleviate some of the pain. 

What we’ve found in our experience of recommending platforms or speaking to those in a position where they have to select a platform is that it is, certainly, an overwhelming process. There are a) so many out there, b) those platforms that ‘do more’ than, in this case, A/B testing and c) some very persuasive businesses and individuals. 

As the market grows with more tools and proportionally more demand for experimentation, we will soon start to feel, if not already, overloaded in features. 

We wanted to help by sharing our experiences by writing “which experimentation platform should you choose? And how to select it” as we firmly believe that any platform should be selected based on your challenges as a business first, not on the number or quality of features available. Demos should be tailored to how value can be added to the business, not on the specificities of capabilities within the platform. 

This whitepaper sets out that framework, as well as identifying experimentation vendors based on their positioning and proposition within the market. As an example vendor, Optimizely is considered as a “market leader in experimentation for over ten years” and that “wealth of experience is evident both with the clients they work with and innovation they release”. 

To find out more about Optimizely’s strengths in the marketplace and uncover the framework to support your evaluation, download the User Conversion whitepaper on experimentation platforms today

Read next

  • 5 ways AI helps you get market research right

    Today’s market research depends on data-driven decision-making frameworks and AI for improved organizational performance. Here’s how AI can help you.

    Read post
  • The smart retailer’s guide to agile ecommerce

    Today’s retailers need an agile ecommerce approach informed by data-driven decision-making strategies. Here’s what you need to know about these frameworks.

    Read post
  • Welcome! Celebrating our newest Optimizely Most Valuable Professionals! 🎉

    The Optimizely MVPs (a group of 70+ technical community contributors) have been busy writing code packages, how-to guides, and blog posts to help technical users get the most out of Optimizely products.

    Read post