Overview
Product Information on Amplitude Digital Analytics Platform
What is Amplitude Digital Analytics Platform?
Amplitude Digital Analytics Platform Pricing
Overall experience with Amplitude Digital Analytics Platform
“Powerful Real-Time Analytics and User Insights, but Comes with Data and Cost Constraints.”
“Poor app web/app data tracking capabilities!”
About Company
Company Description
Amplitude is a digital analytics platform that gives self-service visibility into the entire customer journey. Amplitude is the brain behind more than 45,000 digital products at over 1,000 enterprise customers and 23 of the Fortune 100, helping them innovate faster and smarter by answering the strategic question: "How do our digital products drive our business?"
Company Details
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
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Peer Discussions
Amplitude Digital Analytics Platform Reviews and Ratings
- Data Analyst<50M USDSoftwareReview Source
Powerful Real-Time Analytics and User Insights, but Comes with Data and Cost Constraints.
On an overall, Amplitude is a very good tool for product analytics where we are able to look at the real time performance of our application and feature launches which leads us to make quick decisions during the feature release of AB Tests. The speed at which the chart builds for the pre-existing metrics is excellent. Ease of use of the tool makes it self serve in our organization. Which is why it helps to have leaders who can really make quick decisions. On the other hand, the customization of the metrics is really tricky with our own definitions. This also comes with a bit of expense. - Product Manager<50M USDSoftwareReview Source
Direct Data Query Features and AI Assistance Improve Analytics Precision and Speed
Amplitude has been a game change for data driven product decisions at every level. The depth of segmentation, the intuitive funnel and retention analysis, and the ability to quickly slice user behavior by cohort have made it indispensable. What works exceptionally well is how fast I can go from a business question to a concrete answer, whether that's analyzing subscriber activity, understanding engagement patterns or cross-referencing installs across markets. The MCP integration has taken this even further, letting me query data directly within my workflow without switching context. - Data Analyst50M-1B USDTransportationReview Source
Event-Based Focus Enables Analytics But Restricts User History and Customization
My main function of Product Analytics is well served by the tool especially as the charts Segmentation and Funnel solves 80% of my questions, missing link for me at the moment is deep diving into user flows to get more qualitative insight on why they are dropping off - Group Product ManagerGov't/PS/EdEducationReview Source
A Snapshot of What I Feel About Amplitude
I really like Amplitude. I was also using other analytics tools before in my previous job. I was pleased with that one as well. One star is missing because I think there might be some improvement areas. I am pretty sure "exclude users who did..." filter doesn't work on my side. I was using this filter in other tool a lot, which is a missing point for me. On the other hand, creating data tables according to the user attributes is not convincing as well. I know this is not a hard data analytics tool and we cannot expect the behave in the same way but for example in our company, our main data analytics source is Amplitude as well. I need more on that part. I also need different funnel windows for different steps. For example if the user installs and starts trial within 24 hours then trial converting within 72 hours, I am not able to set this up easily. I'd like to share more things if needed. - Senior Android Engineer50M-1B USDFinance (non-banking)Review Source
Tracking User Behavior With Amplitude Requires Precise Event Planning And Strategy
Amplitude's digital analytics helps me understand how users interact with my app. By tracking user behavior, journeys, and engagement patterns, I can identify friction points, measure feature adoption, and make data-driven decisions to improve the overall user experience through the events.



