Optimizely Feature Experimentation vs. Wishpond Propel IQ

Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -

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It's a great platform if you're looking for something to run contests that provide leads and drive user engagement, but if they also incorporated social media management and scheduling, Wishpond would be a 10 by far. It's definitely worth looking into specifically for running contests throughout the year, for a wide variety of companies and industries.

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• It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.

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• Very small learning curve, thanks to wonderful real-time tutorials and help, and drag-and-drop editors.
• Easy to navigate - there are only 3 main sections of the site (content, lists, and emails).
• Excellent customer service. I've always gotten prompt answers to any questions I've had.

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Independently Invited by TrustRadius

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• Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
• Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
• Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test

Incentivized

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• They added keywords to campaigns we'd specifically said not to.
• They should tweak campaigns with a 0.06 ROAS.
• They should provide the services that are promised.

Competitive landscape

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Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code

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Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams

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There is no support at Wishpond. I contacted my project manager's manager over a week ago without a reply. When I responded to the automated 'How is your experience' email saying how awful it was there was no follow-up. When I had trouble and had to escalate things it resulted in some new procedures being put in place that changed nothing and they never checked in to see if things were fixed.

It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it

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When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We choose Wishpond as our first option since we were a startup e-commerce. Klaviyo was a little bit expensive for us and Wishpond really suits pretty well in our budget. Besides, if you don't have so many clients, at a first glance, there are a lot of features that would not be taken advantage of. That is why Wishpond was a better option when we started.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

had troubles with performance for SSR and the React SDK

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• We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.

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• Negative google ROI.
• A few conversions in September on paid social then none - negative ROI.
• Between ad spend and Wishpond fees every month is negative ROI. Can’t wait until I can get out of this contract.
• Emails don’t perform as well as my own for open rates or clicks.