Amplitude Digital Analytics Platform

As a growth marketer, product analytics tools like Amplitude are a powerful weapon for marketers, allowing us to see all user funnels from acquisition to churn and retention. It was really easy to find the whole user's behavior from start to finish.

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.

The best features Amplitude offers are the cohort features, because it gathers all the data of all the single users who visit our websites or application, and then they can automatically make some cohorts in ways we couldn't imagine. This allows us to make really good decisions that would have been difficult without Amplitude.

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.

Amplitude and all SaaS software nowadays need to improve their AI feature to keep up with competitors, and my experience with the demo showed it looks cool but needs enhancement.

I used Amplitude for around two years, but not anymore.

Amplitude is really stable.

Amplitude's scalability is definitely good, as it can handle big data even if it needs some time to load the proper reports or dashboards, but it doesn't have any data sampling like Google Analytics, making the data reliable and satisfying.

The customer support was really good, with the CSM being ready for action almost 24/7, making it really satisfying.

It was the first time using Amplitude.

I didn't see a proper return on investment in terms of money, but thanks to the Amplitude dashboard, we could access all the proper data. Regardless of which team or which part, all teams' decision-making became based on the data extracted by Amplitude, which contributed to a positive data-driven cultural movement.

There was a little bit of a problem with pricing since the price of Amplitude was really expensive, and although its features and functionality are powerful, making it worth it, it could be a huge obstacle for startups or those not making lots of money. Moreover, implementing Amplitude also required a lot of resources for installation and making a data taxonomy.

We also evaluated another option which was Mixpanel.

There are currently really good product analytics tools, and some are free, but if you want to analyze and see really proper data, especially as a CEO wanting to encounter the truth of your own data, I highly recommend using Amplitude regardless of the cost; it's powerful, stable, and has been approved by many companies worldwide. I gave this product a rating of nine out of ten.

Private Cloud

Amazon Web Services (AWS)

What do you like best about the product?

The thing I appreciate most is how quickly I can get from a question to an actual answer. Before this I had to rise a request with our data team and wait for couple of days to find out where users are dropping off. But now with amplitude, our PMs build those funnels themselves and only 1 step in when something has been instrumented wrong.

What do you dislike about the product?

Pricing is the part that I dont like. Once you crossed the free tier's event limit the jump is so steep and because its tied to event volume you end up second guessing whether a particular event is worth tracking.

What problems is the product solving and how is that benefiting you?

Mainly the gap between shipping a feature and knowing whether anyone used it. We are relying on backend logs and play console numbers, which told us installs and crashes and almost nothing about behaviour inside the app. Anything more specific meant a custom query and a wait.

What do you like best about the product?

I really like that Amplitude Analytics makes understanding user logs straightforward, even for someone without a background in similar applications. It's easy to search for specific logs and activities, and I know that fetching data to create graphs or integrating it with other software is simple too. I find the research function especially useful for searching and highlighting specific logs and activities. The session replays are another aspect I find really helpful. Overall, the platform is pretty easy to use, and the fact that I could start analyzing logs and activities right after logging in speaks to its user-friendliness.

What do you dislike about the product?

Nothing so far.

What problems is the product solving and how is that benefiting you?

I use Amplitude Analytics to determine account activity, subscription usage, email confirmations, and detect fraudulent behavior. It's straightforward for analyzing user logs even without prior experience, making it easier to understand user trends and activities.

What do you like best about the product?

I think Amplitude Analytics is a really intuitive, easy-to-use tool. The UX feels smooth, the interactions are straightforward, and finding what you need to do is usually fast and simple. The information feels reliable and real time, and I’ve never had performance issues—except occasionally with larger flows that are genuinely quite complex. Creating visuals is also a very smooth experience for both technical and non-technical users, and it gives every member of the team a lot of autonomy when it comes to exploring the company’s data.

What do you dislike about the product?

I think one downside is that the number of features can feel a bit overwhelming, and the search bar isn’t very clear for finding them (since it usually suggests visuals or users). Also, it would be great to have a way to see which properties are tied to different events. Either way, these are just small things that would improve the experience, not anything that would make me stop using the tool.

What problems is the product solving and how is that benefiting you?

The main problem this solves is making data more accessible to non-technical users, which leaves analysts with more time to focus on deeper analysis instead of constantly running queries for PMs. It also helps with experiment assignments by making the results easier to assess.

What do you like best about the product?

As a Product Analytics II at Earnest, I use Amplitude Analytics to understand how users interact with our digital products and to uncover opportunities to improve the customer experience. I primarily use it to analyze user behavior, explore conversion funnels, monitor key product metrics, and identify where users may be dropping off or experiencing friction.

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.

What do you dislike about the product?

One area that could be improved is the learning curve for some of Amplitude’s more advanced features. While the core analytics experience is fairly intuitive, building more complex analyses or understanding exactly how certain metrics and events are defined can sometimes require additional context or documentation.

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.

What problems is the product solving and how is that benefiting you?

Amplitude helps solve the challenge of turning large amounts of behavioral data into insights that product teams can actually act on. It allows us to understand how users move through key journeys, where they encounter friction or drop off, and how different segments engage with the product.

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.

Recommendations to others considering the product:

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