Optimizely Web Experimentation Review
October 18, 2023
Optimizely Web Experimentation Review
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Optimizely Web Experimentation
The example I would always go back to is if we're trying to optimize a purchase funnel, for example, and see where people are following off, where Optimizely comes in would be creating experiments within that purchase flow or user journey. And then Heap would be able to help create buckets or cohorts of people for us to optimize it for people who came in from paid search versus people who came in from email. So being able to create experiments with Optimizely and then using Heap to essentially increase my ability to run more experiments, I think is really where I use the product and the marriage between my company's product and Optimizely.
Pros
- Being able to run multiple experiments for various experiences, whether that's features, web, et cetera - and then being able to create buckets of folks who have done those things and bring them back into my product at Heap. And then sending our vet data over to Optimizely to create more audiences of people and really run that flywheel, so to speak, of experimentation, optimization, and implementation. So it allows me to run more experiments at scale.
Cons
- It's tough because for me it would be more logistical things where I would love to see more active co-selling of opportunities where if the Optimizely sales team or their pre-sales team has an opportunity where they know they're looking for a product analytics tool, engage with us early and we can be co-selling it together essentially.
- I do know that for example, obviously it's tough because that's a competitor, but I do know that Google Analytics 4 integration is a thing that people ask for. So I think maybe working on that if only to showcase how bad GA4 is and why they should move over to a product like a Heap, I think.
- I would say it's overall increasing revenue and conversion rate is what I've seen from my customers. They use the experimentation feature on the web to shorten up that funnel or make it more efficient for people to get through it faster with less friction.
- Then I think the ability to run just more experiments. So greater level of experimentation and then increasing conversion rate by smoothing out that funnel.
Able to do more experiments. It's great to have everything in one place. And then again, the granularity of, I run many, many experiments and being able to really see the effect of all of those experiments. Then from my perspective, because I can do so many more and they're so detailed, I can bring all that data into Heap, and then therefore that makes my product that much more.
Optimizely Web Experimentation Feature Ratings
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