Amplitude Digital Analytics Platform

What do you like best about the product?

I truly appreciate the ease of use with Amplitude Analytics. The platform is very intuitive and allows for a high degree of self-service. I also find the latest AI agents to be incredibly powerful. They navigate very well through a clean event taxonomy, accurately understanding what's happening on the website, and provide the right responses and insights.

What do you dislike about the product?

One thing that the AI agent has caused in terms of self-service within the organization is that people who are less literate with data analysis are now digging into the data and finding insights. But given that they don't have the necessary context or a critical understanding and judgment of the data itself, sometimes they're making the wrong conclusions. I think this is an opportunity where the AI agent could actually coach users on how to view that piece of data, all in the context of the organization and the product itself.

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

Amplitude Analytics provides real-time access to website data, making it easier to see what behavior is happening.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

Mainly it's killed a lot of the back and forth guesswork about where users drop off. Before, I was piecing together a story from a few different reports and a gut feeling. Now I can point to the exact step where people bail and actually do something about it. That's saved me from shipping changes based on assumptions that turned out to be wrong, and it makes the case to leadership a lot easier when I've got the funnel right there to show them.

What do you like best about the product?

Overall, it was comfortable to review the events.

What do you dislike about the product?

Hard time copying the data for the purposes of using in other places, if the whole or partial log is needed

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

Tracking and reporting the existing metrics and setting up the new ones

What do you like best about the product?

I appreciate Amplitude Analytics for its flexibility, allowing me to do a lot more than other tools I've used. Also, the documentation is very well done, so whenever I have a question on how to build something, I'm sure I'll be able to find the answer. I often use it to make sense of data flow and create visualizations that are easily readable for non-technical stakeholders and patch up things not available in other web tracking tools.

What do you dislike about the product?

I don't really find the UI of switching between dashboards and spaces very convenient. It's not very difficult, but it's also not as smooth as I would wish it to be.

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

It helps me transform data into actionable insights, create understandable visualizations for non-technical stakeholders, and fill gaps left by other web tracking tools.

What do you like best about the product?

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.

What do you dislike about the product?

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.

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

The MCP connector changes the workflow meaningfully. Rather than context-switching between your AI environment and Amplitude to pull charts, check funnel metrics, or cross-reference experiment results, you can query your actual Amplitude data conversationally — the EU residency server means it works within our data governance setup without workarounds.

What do you like best about the product?

Intuitive dashboards that deliver powerful insights into user behavior.

What do you dislike about the product?

Pricing can feel steep, especially for smaller teams or startups.

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

It helps track user behavior, which in turn makes it easier to improve app retention.

What do you like best about the product?

Easy to build and view dashboards, robust filtering

What do you dislike about the product?

Hard to understand data at times. I sometimes have to ask other colleagues for help.

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

Seeing product usage data, it's helping me identify the lagging features

What do you like best about the product?

The UI in very smooth and well thought out which makes it very easy when trying to analyze data or figure out the answer when questions arise. The data itself seems to be spot once we got the integration completed.

What do you dislike about the product?

The AI chatbot can be a bit wonky when it comes to trying to visualize my data. There's certain views and charts a prefer for certain metrics and for some reason it doesnt like when I try to format them in that way. Even gave me a bit of attitude once or twice.

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

It's giving our team a better view into how people are using our platform. It's easier to setup, easier to filter and easier to find the information we're looking for.

What do you like best about the product?

I really like how Amplitude Analytics' AI makes it really easy to pull the data and synthesize it when I need to get it quickly, which is usually pretty often. Just being able to chat with it and have it pull what I need and analyze it right then and there is super valuable and saves me a ton of time.

What do you dislike about the product?

Nothing!

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

Amplitude Analytics helps me track blog page views, click-through rates, and conversion rates. It identifies where users drop off in the funnel, showing which articles perform best. Its AI simplifies data retrieval and analysis, allowing quick syntheses, saving me a ton of time.

What do you like best about the product?

What I like best about Amplitude is how easily it turns product data into actionable insights. As a Analyst, I frequently use funnels, user journey analysis, retention reports, and segmentation to understand user behavior and identify friction points. The interface is intuitive, allowing me to create dashboards and analyses quickly without extensive technical support.

Session Replay is particularly valuable because it helps me understand the reasons behind user behavior, not just the metrics. The Session Replay Agent further enhances this by analyzing replay data at scale and surfacing key insights, helping us identify usability issues and user pain points much faster. Amplitude's AI-powered analytics is another standout feature, enabling me to ask questions in natural language and get insights much faster than traditional analysis methods.

Amplitude Guides and Surveys have also been extremely useful for creating onboarding tours, collecting NPS feedback, and driving user engagement directly within the product without requiring additional tools.

The platform handles large datasets efficiently, makes it easy to share insights across teams, and has helped us make more informed product decisions by quickly measuring the impact of new features and improvements.

What do you dislike about the product?

One area where Amplitude could improve is customer support. While the documentation, learning resources, and knowledge base are comprehensive and usually help answer most implementation and analytics questions, it can sometimes be challenging to get timely assistance from a human support agent when more complex issues arise. Response times can be longer than expected, especially when you need direct guidance or troubleshooting support.

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

Before adopting Amplitude, it was difficult to get a complete view of how users interacted with our product and to understand where they were dropping off in key workflows. Analyzing user behavior often required combining data from multiple sources and relying on engineering support for deeper investigations.

With Amplitude, we can track user journeys, analyze funnels, measure feature adoption, and monitor retention in a single platform. Session Replay helps us understand the reasons behind user behavior, while Guides and Surveys enable us to collect feedback and improve onboarding experiences directly within the product.

The platform's integrations with our broader data ecosystem have helped centralize analytics and reduce the effort required to bring data together from different sources. As a result, our team can identify issues faster, validate product decisions with data, and measure the impact of new features more effectively.

The biggest benefit has been faster and more confident decision-making. Instead of spending hours gathering and validating data, we can quickly surface insights and focus on improving the customer experience. Consolidating analytics, session replay, in-product engagement, and AI-powered insights into a single platform has also delivered strong ROI by reducing the need for multiple tools and improving team productivity.