Mutiny is a no-code AI platform that helps marketers convert their top of funnel demand into revenue, without engineers. Mutiny gives marketers data and analytics, as well as AI-powered recommendations and content writing. Mutiny states they are backed by Sequoia Capital, YCombinator and CMOs from tech companies including AngelList, Carta, Gong, Hopin, Salesforce and Snowflake.
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Optimizely Web Experimentation
Score 8.7 out of 10
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Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.
B2B website optimization is where Mutiny shines. However, you would need a certain level of traffic to justify the investment. Mutiny currently does not support outside the web like in-app and it's also not made for B2C. There are other experimentation tools out there that are a better fit for those areas.
Optimizely Web Experimentation is appropriate if you have a big budget and your company is mature enough in experimentation to take all the advantage of a such an expensive price model. If you are just starting into AB testing, or not enough budget, I do not recommend Optimizely Web Experimentation, as it becomes quite frustrating to manage usage limits and technical set up to avoid extra charges.
B2B Personalization. Many out-of-the-box audience segmentation options as well as integration options with tools like 6sense, Clearbit, Salesforce, Marketo, HubSpot, and Segment.
No need for engineering resources. Their simple, yet powerful visual experience editor as well as out-of-the-box functionalities like banners, side pops, survey modals and exit-intent modals let you create experiences without engineering.
Segment analyzer. They automatically suggest to you which segments have a high potential for improvement and recommend you a playbook from another Mutiny client to execute on successful use cases.
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
Usability is mostly great. I like the WYSIWYG functionality and adding in real code is simple as well. It's easy to target specific pages or audiences. I've knocked a couple of points off because of how difficult it is to set up URL redirect experiments, confusion around creating pages, and lack of data that can be further analyzed.
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
Mutiny makes it much simpler to execute personalization activities and A/B tests compared to big names out there like Optimizely and Adobe Target. The Mutiny team specifically tackled that hurdle that many marketers face when using these kinds of tools. They honed in on executing the "without the need for engineering" pieces. Note that Optimizely and Target both have WYSIWIG functionalities as well, it's just that Mutiny makes it easier to make changes, even with some AI-suggested copy recommendations. That being said, Optimizely and Adobe Target have more advanced features for A/B testing and AI/ML decision-making.
Overall, the tools we compared against were great, but we went with Optimizely because it has all the features we needed and has the market leadership that gave us trust we would be successful in our experimentation efforts.
While granted, I am not the one making the changes to deploy the software; it seems basically as simple as placing the optimized snippet on your site. If you place it in the header, it should reach across your entire site easily. I do think the test setup can be a bit temperamental at times, and having too many cooks in the kitchen can lead to errors. So, I would caution how many people have the access needed to make actual changes.
Customer retention: We've reduced subscription service client churn by 20%+ using optimized unsubscribe flows.
Risk mitigation: Testing into full site redesigns has saved clients millions of dollars.
Feature prioritization: Identifying what painted door changes add value has allowed developers to focus on changes that add hundreds of thousands or even millions to the bottom line.
