What I like most about Amplitude Analytics is how it delivers clear, real-time insights into user behavior, supported by intuitive dashboards and straightforward event tracking. Review collected by and hosted on G2.com.

One challenge with Amplitude Analytics is that the platform can feel overwhelming at first due to the sheer number of features and configuration options. Some advanced reports and event setups come with a learning curve, especially for new users. Additionally, dashboard performance can occasionally slow down when working with large datasets, and certain customizations can make the experience feel less responsive. Review collected by and hosted on G2.com.

I'd particularly value:

Measuring adoption of newly released capabilities.

Understanding where users abandon critical workflows.

Defining meaningful product KPIs instead of relying on vanity metrics.

Identifying which features are rarely used and candidates for simplification or retirement.

Giving product managers and engineers access to the same data so discussions are based on evidence rather than intuition. Review collected by and hosted on G2.com.

Its main drawbacks are the need for disciplined event instrumentation and governance, a moderate learning curve for advanced features, increasing costs at scale, and the fact that it complements rather than replaces observability or business intelligence tools. For larger organizations, success depends as much on good analytics practices as on the platform itself. Review collected by and hosted on G2.com.

I appreciate using Amplitude Analytics to gain insights on user behavior and revenue details. It helps us understand issues our consumers are facing when there is a revenue drop or behavior change. I like the user-based analytics data, live event checking, and the filter option with lots of customization. Additionally, the dashboard in Amplitude Analytics is much better, which was a reason for switching from Klaviyo. Review collected by and hosted on G2.com.

Sometimes there is a limit in property value character limit, but it is a standard one. Initially, the dashboard will feel complex, but eventually, we will get more idea. Review collected by and hosted on G2.com.

The behavioral cohorts are what keep me coming back. I can actually see how different user groups move through the funnel instead of just guessing. Setting up charts is fast once you know your way around, and the fact that I don't need to bug an analyst every time I want to slice the data differently is huge for someone working solo. Review collected by and hosted on G2.com.

The learning curve is real. The first few weeks I felt like I was clicking around hoping I'd stumble onto the right view, and some of the more powerful stuff is buried where you'd never think to look. Pricing also climbs fast once your event volume grows, so it's not something I'd casually recommend to a small team without warning them about that first. Review collected by and hosted on G2.com.

I like how smart, advanced, and flexible it is. It often answers my needs before I even realize them, and it genuinely feels like it was built for data-oriented product people. It also has a lot of great features and a deep understanding of data. Review collected by and hosted on G2.com.

Sometimes it feels overly complicated. I also used to dislike the deep root analysis because it took ages and then bombarded me with charts. Review collected by and hosted on G2.com.

I find Amplitude Analytics valuable for tracking our metrics, from event segmentation to conversion analysis. I appreciate the additional functions and capabilities it offers, such as setting up alerts to notice decreasing or increasing instances of events or conversions. I also find the initial setup quite easy, as Amplitude captures a lot of events automatically. Review collected by and hosted on G2.com.

I had some issues with the login during our initial setup. We set up an account, and it logged us in without asking us to set up a password. Afterwards, we got logged out, and we weren't able to log in even though the email used was correct. That was a bit of a hassle. Also, it could be a bit more user-friendly and easy to read because it's a bit too technical for some stakeholders. Maybe having a switch between analytic mode and a reader mode to change the UI for easier readability would help. Review collected by and hosted on G2.com.

I really like the possibility of integrating numerous tools and the ability to process data almost in real-time with a focus on growth. This allows me to fully connect my products, projects, and apps and have an overview of everything my user does, how they are acquired, how much revenue they generate, etc. With Amplitude Analytics, I can create funnels, dashboards, and segmentations for analysis, as well as have the possibility to build cohorts to be more precise in our CRM campaigns. The initial setup was quite good, although it's still a challenge to customize everything to generate uniformity. Review collected by and hosted on G2.com.

I would like to be able to define from the UI the information received in the payloads of each integration to align more custom between tools. Perhaps it would have been easier if Amplitude showed each field of the payload and allowed customization of how I expect it to interpret them. Review collected by and hosted on G2.com.

Session replay, experiments, and AI assistant agent analytics. Review collected by and hosted on G2.com.

Very complex for some people. Some data doesn't match our database, the session replay has few recordings, and overall, it's very expensive. Review collected by and hosted on G2.com.

The depth of the funnel analysis stands out. Being able to break a multi-step acquisition funnel down by device type, acquisition source, or any event property—and then immediately see exactly where conversion drops off for each segment—is genuinely faster and more flexible than anything I’ve used before. The behavioral cohort builder builds on that: once I define a cohort (for example, for a specific acquisition channel), I can reuse it across charts without having to rebuild the logic every time.

For experiment readouts where I need to compare control vs. variant across multiple funnel steps while also splitting by device, it handles the complexity cleanly. The user-level drill-down when a metric looks anomalous is also underrated; being able to move from an aggregate CVR to the actual session sequence behind it helps close investigative loops much more quickly. Review collected by and hosted on G2.com.

The consent-based tracking gap isn’t surfaced anywhere in the UI. As a result, you’re effectively working with only a percentage of true traffic, but Amplitude gives you no indication that this is happening—you only notice the discrepancy when you cross-reference another source. That means every absolute number you share with a stakeholder needs a manual correction and a separate explanation, which ends up eroding confidence in the tool for anyone who isn’t close to the data. Review collected by and hosted on G2.com.

It gives real insights into user data and help you ship features that only makes sense Review collected by and hosted on G2.com.

Funnels cz user can take different paths to reach a goal so data gets skewed Review collected by and hosted on G2.com.