Amplitude Analytics is an analytics platform for mobile and web. It is designed to help organizations segment users and analyze funnels,
retention and revenue. Amplitude Analytics helps you achieve actionable insights from customer digital journeys and uses behavioral graphs to build customer-focused products. Amplitude also optimizes digital products for increased quality engagements, increased conversion rates, and long-term customer loyalty.
$59
per month
Optimizely Web Experimentation
Score 8.7 out of 10
N/A
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.
I have used tools in various spaces that have all the flashy bells and whistles, and is, but lacks some basic features - Optimizely isn't this. While other tools, such as Adobe Target, Evergage, Dynamic Yield, Google Optimize, or even Taplytics may make more sense for your …
Amplitude Analytics is well suited for scenarios where you have multiple data points to understand customer behavior and journeys and utilize simple to medium complexity graphs/charts. It may not be suitable for scenarios where you need to slice and dice data into highly customizable dashboards as that requires significant effort from technical teams.
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.
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.
I haven't used the Amplitude support other than their training docs so I can't speak too much to the in-person support but the docs are serviceable. Nothing too crazy but between the user tips, email notifications, and the decent number of docs I was able to get the support I needed to ramp up on the tool.
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.
It's the best in class with all the bells and whistles. Other options could suit you just fine at a lower price point, but you need to be sure of what you are not getting and the switching cost associated with when you do need it.
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.
