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Piecing together marketing technology such as customer data platforms (CDPs), personalization engines, content intelligence, and experimentation can feel like trying to complete a puzzle without the picture on the box. It’s hard to assemble everything and make those systems fit together cohesively.

I’ve spent the past few years working hands-on with Optimizely’s suite, running experiments, designing personalized experiences, exploring the depths of the Optimizely Data Platform (ODP), and working with Content Recommendations and Intelligence. But more than just exploring each piece, what really excites me is how these tools work together to unlock real value for marketers and digital teams.

A while back, I wrote about some of the lessons in experimentation I picked up watching

Sesame Street with my then-four-year-old. In my article, I shared how Sesame Street unexpectedly reminded me that we often overcomplicate things that are meant to be simple and helpful. That experience helped reframe how I think about communicating what I do every day. Now that he’s five, he still hits me with the best questions:

  • "Can the computer see me?"
  • "How does Amazon know to send us so many packages?"
  • "How do YouTube videos work?"
  • "Do you talk to the same people on the screen every day?"

Honestly, those are the best questions because they get right to the point, and I get to use them as a moment to teach him.


Learn more about Optimizely’s capabilities.

Our Optimizely experts can share real-world lessons from leveraging its experimentation, personalization, and AI features to help your organization maximize its power.

Those simple, curious questions and years of hands-on work with Optimizely reminded me that the most valuable insights aren’t buried in complexity but found in clear and relatable stories. That is why I’m launching this blog series: to share what I’ve learned about experimentation, personalization, and data in a way that's genuinely useful.

Over the next few posts, I’ll be sharing what I’ve learned, lessons from using Optimizely in the field, with practical examples, and maybe even a few hard-won battle stories.

I’ll cover:

  • Why experimentation isn’t just for A/B testing anymore
  • How personalization gets real when powered by the right data
  • What content intelligence and recommendations can and can’t do
  • How ODP ties it all together, and where teams often get stuck
  • And how AI, especially Optimizely’s Opal, can help scale insights, streamline decisions, and make digital experiences more adaptive and intelligent than ever

Whether you’re already deep into Optimizely or just starting to explore what’s possible, I hope this series will give you some fresh perspective, useful tactics, and a few “aha!” moments along the way. Ready to dig in? View my other posts about Optimizely.

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