I like that it lets us track our performance clearly. The variety of chart options is great for analytics and ongoing tracking, and it’s especially helpful that we can track performance separately by market. Review collected by and hosted on G2.com.

As a less technical user, I find some parts of the UI a bit confusing. It’s nothing that couldn’t be addressed with a bit of training or a short course. Review collected by and hosted on G2.com.

What I like best about Amplitude Analytics is how clearly it helps me understand real user behavior and consumption inside our platform. Even as a beginner, I can easily identify how users move through key flows, how many credits and packages they consume, and how these patterns change over time. The visualizations and event-based structure make it straightforward to detect trends, compare periods, and validate hypotheses without requiring advanced technical skills. It gives us a level of visibility that would be very difficult to achieve through manual reports. Review collected by and hosted on G2.com.

What I dislike about Amplitude Analytics is that historical data is limited to the last two years, which restricts long-term analysis. For everything else, the platform works very well and provides the visibility we need, but the data retention limitation can be a challenge when comparing older periods or evaluating long-term trends. Review collected by and hosted on G2.com.

Amplitude provides a clear view of analytics, and it makes it easy to track user-related events. Depending on what the analyst needs, we can create multiple dashboards, which makes everything much easier to monitor and track. Review collected by and hosted on G2.com.

Sometimes the event updates take time, and in some cases the events aren’t ordered by time. At times they swap order, which makes it confusing. Review collected by and hosted on G2.com.

I use Amplitude Analytics for different analytical projects and appreciate its ability to gain insights into how users engage with our product. The Compass charts are an extremely unique tool that helps me visualize retention and understand how engagement with different parts of the product can impact user retention. The intuitive UI makes it easy to curate dashboards and views, which I can share with non-technical partners who can easily interpret and iterate on them. The integration with different AI agents works smoothly, and the initial setup was straightforward. I also believe that Amplitude offers more robust capabilities compared to what we used before. Review collected by and hosted on G2.com.

I wish more of the funnel chart options could count by totals, and not just unique users. I'd like to see totals conversion over time and general TTC. Review collected by and hosted on G2.com.

Amplitude Analytics is our lifeblood for user journey analytics and metrics. I heavily use it to understand and debug user flow. I like the ability to create top-level charts, graphs, and funnels and drill down into individual user flows when required. Additionally, I love the user flow recordings when available, as they give a great idea. It's been good so far, and although sometimes finding events is a little difficult, it's not a big drawback. Review collected by and hosted on G2.com.

I sometimes find it difficult to figure out how to create a certain graph but it's more of a user issue than a platform. Sometimes finding events is a little difficult but then again these aren't a big drawback! Review collected by and hosted on G2.com.

The AI feature and overall speed make it easy to use day to day, especially when I need to quickly check the most recent performance. The AI feature also helps answer questions without needing to know the technical side of creating dashboards. Review collected by and hosted on G2.com.

It would be great to have a feature that compares your performance to market benchmarks, beyond the current analytics suggestions. For now, I’m using the outcome of the chat with the AI tool and pasting it into other AI tools like ChatGPT to get clearer guidance on the steps needed to fix a problem.

It would also be helpful if it could tell you which events you’re missing in your setup, so it can guide you in setting up Amplitude correctly and, in turn, give you more accurate results. Review collected by and hosted on G2.com.

I use Amplitude Analytics to track user actions and analyze user engagement in our app. It helps us do root cause analysis for issues users face. I appreciate the details it provides for an event, like the time, region, and network status. It's easy to track user activity based on a single user ID, which is really helpful. Additionally, I like how we can decide which mobiles and OS versions are used most by users, so we know where to focus our testing. We also send device logs to Amplitude, which allows us to check if issues happened due to no internet. Review collected by and hosted on G2.com.

The time taken to update in the logs is almost 30 seconds to 1 minute, which causes a delay in verifying events via automation. The initial setup was a bit difficult, and the events kept getting pushed up and down, so they weren't sorted on a time basis initially. Review collected by and hosted on G2.com.

What I like most about Amplitude Analytics is how straightforward it is to understand user behavior. The funnel, retention, and segmentation reports make it easy to see where users drop off and what’s driving engagement. It’s a powerful tool, but it still feels accessible for non-technical teams, since you can get meaningful insights without needing SQL. Review collected by and hosted on G2.com.

One downside of Amplitude Analytics is that it can feel overwhelming at first because of the sheer number of features and reports available. There’s definitely a learning curve, particularly when it comes to setting up events correctly and making sure everything is tracked the way you intend. Review collected by and hosted on G2.com.

I use Amplitude Analytics to understand user interactions and make data-driven decisions. I'm able to track user behavior, analyze funnels to identify drop-offs, and measure retention and engagement over time. It's especially valuable for evaluating the impact of new features or experiments across user segments and monitoring statistical significance. I appreciate how it allows me to get self-serve insights quickly, reducing dependency on manual analysis. I like that it's easy to gain insights without heavily relying on data teams. The speed at which I can explore user behavior, build funnels, and segment users speeds up decision-making significantly. I value the standardized metrics tracking, quick anomaly detection, as well as building quick dashboards and utilizing MCP connectors with AI tools like Claude and Augment. Additionally, using MCP connectors in Amplitude allows me to leverage AI tools to schedule dashboard deliveries, create dashboards, summarize A/B test results, automate event tracking, and alert when results are statistically significant. Review collected by and hosted on G2.com.

One consistent challenge that can be improved is to make standardized templates available for events tracking and data-quality issues. Sometimes there is a limit on how much UI resources I can use in Amplitude and I have to rely on external data sources for that. Finally, clearer and more pro-active signaling around statistical significance and experiment readiness would make it easier to move faster without second guessing results. Review collected by and hosted on G2.com.

I think the session replay and the session replay agent features in Amplitude Analytics are really valuable. What I like more about Amplitude is the speed. If I have to do the same analysis on SQL, like BigQuery, it would take me quite some time and require a lot of manual effort in writing queries and fine-tuning filter conditions. With Amplitude, it's just a quick drag and drop, and once you know how to use the UI, it simplifies a lot of manual effort. You can quickly get to an insight rather than wasting time doing the same thing on BigQuery. So, I'd say the speed, along with a lot of these AI features, are what stand out for me. Review collected by and hosted on G2.com.

I think right now, for me, the biggest disadvantage would be the events. So what happens is, as a data scientist, I use SQL a lot, and the column names that I use on SQL or BigQuery don't necessarily always match with the Amplitude events. Amplitude doesn't directly give you a one-on-one mapping, and it adds a lot of complexity on top of a simple event metric. It's quite difficult for me to understand what a particular event does when I try to use it on a funnel or something. Right now, we don't have a data dictionary that tracks the actual conditions for each of these amplitude events. I have to dig deeper into the queries that populate these events, so clarity is probably the biggest disadvantage. For a new user, it's easy to end up misusing an event or using an incorrect event for their analysis. I think having a data dictionary would be useful to understand what each event in Amplitude does and what the actual conditions applied on top are. Right now, we're limited to the definitions of only a few events, and there's a lot more untouched value within the event side of Amplitude. That's something I feel could be improved. Review collected by and hosted on G2.com.