
Amplitude Digital Analytics Platform
Data has transformed my marketing decisions and now reveals patterns from acquisition to retention
What is our primary use case?
As a marketer, the constant question is how we make our customers buy something, or if they already buy something, how can we encourage them to buy more again? We could make some cohorts with Amplitude and then see the patterns and the similarity of the users who are willing to buy our products, which could be really helpful to develop new marketing strategies aimed at those kinds of similar cohorts for our potential users.
That was my main use case with Amplitude.
What is most valuable?
I liked the automatic grouping of the cohort features, and we can classify all those features and then organize them really easily, allowing us to see and understand all the similarities and features of those automatically made cohorts.
Recently, I am not using Amplitude anymore in my actual work field, but I had a chance to use the current demo version, and its newly added AI feature looks really cool and convenient.
When I was using Amplitude, it really helped our decision-making, not only in marketing but also in terms of the product, and the websites and application as well, because Amplitude's key feature gathers and analyzes the reports of user behavior. We can easily find all the similarities and the keys to success or failure through those reports, making it really useful.
When I heavily used Amplitude while being in charge of CRM marketing, I couldn't share exact numbers but I wanted to see the patterns of users who came back when they churned from our websites. For example, the cohort who bought a specific category of products or who disconnected after a year, after seeing our reactivation campaign, tended to be more likely to come back to our service. Based on proof submitted by Amplitude, we could create new CRM campaigns, which were really highly effective.
What needs improvement?
For how long have I used the solution?
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
How are customer service and support?
Which solution did I use previously and why did I switch?
What was our ROI?
What's my experience with pricing, setup cost, and licensing?
Which other solutions did I evaluate?
What other advice do I have?
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Fast Answers and Self-Serve Funnel Building with Amplitude
Effortless User Log Analysis with Amplitude Analytics
Intuitive, Reliable Real-Time Analytics with Smooth Visuals in Amplitude Analytics
Amplitude Analytics Makes Behavioral Insights and Funnel Analysis Fast and Actionable
Amplitude is especially useful for answering product questions quickly, validating hypotheses with behavioral data, and helping product teams make more informed decisions. I also use it to segment users, compare behavior across different groups, and understand how changes to the product impact engagement and conversion over time.
I’ve also found that as analyses become more complex, the interface can feel a bit crowded, and it isn’t always immediately obvious which approach or visualization is best for answering a particular question. More contextual guidance and clearer explanations within the product would make it easier to move from a business question to the right analysis, especially for less frequent users.
Overall, these are relatively minor friction points rather than major limitations, but improving discoverability and guidance around advanced functionality would make the experience even better.
For me as a product analyst, the biggest benefit is being able to answer many product questions quickly without needing to build a new analysis from scratch every time. It makes it easier to explore hypotheses, identify trends, measure the impact of product changes, and communicate findings with stakeholders through clear visualizations.
Ultimately, it helps reduce the time between identifying a product question and getting to a data-informed answer, which supports faster and more confident decision-making.