Mixpanel helps companies measure what matters, make decisions fast, and build better products through data. With self-serve product analytics solution, teams can analyze how and why people engage, convert, and retain—in real-time, across devices—to improve their user experience. Mixpanel serves over 26,000 companies from different industries around the world, including Expedia, Uber, Ancestry, DocuSign, and Lemonade. Headquartered in San Francisco, Mixpanel has offices in New York,…
$0
per month
Optimizely Feature Experimentation
Score 7.9 out of 10
N/A
Optimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.
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Pricing
Mixpanel
Optimizely Feature Experimentation
Editions & Modules
Free
$0
per month
Growth
$17
per month
Enterprise
Contact sales
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Offerings
Pricing Offerings
Mixpanel
Optimizely Feature Experimentation
Free Trial
No
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
Mixpanel uses MTU (Monthly Tracked User) pricing, which is designed to scale with your company. MTUs are roughly equivalent to the number of unique visitors on your product and each user is counted once per month, even if they use multiple devices. If Events based pricing makes more sense for your business, reach out to us and we can work with you!
We used Firebase remote config as well to try to test different behaviorus on the same screen, using boolean flags to determine which one to show, but it was too cumbersone and difficult so we pivoted to only use optimizely as it was much better suited for that,
As a worker in the sales area, I see closely how complex it can be to evaluate the commercial funnel and Mixpanel has been an indispensable guide to prioritize above all what customers expect to receive from our company, and thus be able to determine the main service we offer. Without a doubt, Mixpanel has special functions to be the one that guides the route and marks the objectives much more clearly.
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 -
Mixpanel is a daily use application for everyone in my organization; it helps us have a better flow of information and interaction between work teams.
The user interface of this platform is simple and has a wide variety of functions and resources to help us work in the most organized way, have better team coordination, and keep efficiency high.
I love that it is so easy to program our calendar to our liking, so we can prioritize our activities and know what is pending, and the best thing is that I can update the calendar if necessary.
The chat function is great to improve the interaction between colleagues and share work schedules and any information with third parties.
Mixpanel requires an explicit setting of events from your app. This means you need to be very thoughtful in the design of your events because missing one means you aren't collecting any data from it. Inserting it into the process later on then brings challenges in tracking when certain events came online.
A tool like Mixpanel comes packed with features that sometimes are harder to discover. It's very easy to get sucked into one part of its toolset and not be aware of other tools which may be very useful.
It's not an all encompassing solution like Google Analytics tries to be, but MixPanel offers much easier to use and understandable data insights. That's valuable when juggling many responsibilities as startup life demands, so a renewal would be easily justified.
Relativity easy to use. Once you get the hang of it, very easy to create dashboards for different use cases. I split my dashboards between customers or use cases
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
We have only ever had to use their support once, when we were setting up the account, but their responses were prompt and the solutions were well documented. The people who solved our issues were helpful, even to non-tech people.
Mixpanel has a great resource about their product, with videos on how to use it and real world examples from other companies on how they integrate Mixpanel into their business processes.
Again, somewhat annoying to be charged based on data points when many other analytics providers have one flat fee. Implementation was good, but I might have tracked a few more detailed points if I had the option.
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
We've been able to increase the funnel conversions of one of our new product funnels from a 1% conversion rate to a 5% conversion rate.
We've been able to increase the CTR on another of our main product pages from ~3% to ~10% (so far)
We've been able to segment out how users from different traffic sources behave, allowing us to eliminate thousands of dollars of wasteful spending on advertising campaigns that weren't working.
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.
