Amplitude Digital Analytics Platform
Amplitude AnalyticsExternal reviews
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Discovering my product has been incredible!
What do you like best about the product?
That i can understand my user behavior, getting to know how is the adoption of new functionalities, the frequency of use, and also track when there's an issue in my platform.
What do you dislike about the product?
It has so many advanced features that it’s difficult for someone new to understand how to use them properly. Although the documentation is extensive, it’s not always easy to find practical examples or real use cases.
What problems is the product solving and how is that benefiting you?
Amplitude Analytics helps us track the adoption of new features and understand user behavior across different payment methods. By analyzing how users select and complete trips with each payment option, we can identify friction points, optimize the flow, and measure the impact of changes in real time. This visibility allows us to make data-driven decisions that improve conversion rates and enhance the overall user experience
Powerful self-serve product analytics that actually gets used
What do you like best about the product?
It is easy to get real answers without waiting on the data team. Funnels, retention and path analysis feel natural and I can go from a hunch to a chart in minutes. Cohorts are my favorite part because I define a segment once and reuse it across reports and the dashbaord. For ease of use I would call it simple enough for PMs and marketers after a short ramp, but still powerful when you need to dig in.
For ease of implementation we added the web snippet and mobile SDKs and instrumented our core events in a single sprint. The tracking plan and event dictionary helped us avoid messy names. Docs were clear and the sample code saved us hours.
For customer support our CSM actually follows up, not just a bot. Tickets get a same day reply most of the time and the office hours were super helpful during onboarding. I wish some replies were less templated, but overall they are responsive and kind.
For frequency of use I am in Amplitude almost every day. I check a few core dashboards in the morning, then build ad hoc funnels a couple times a week. Leadership reviews the weekly product report straight from Amplitude links, which keeps us aligned.
For ease of integration it plays nicely with our CDP and warehouse. We send cohorts to our messaging tool, share charts to Slack, and backfill data from the warehouse without drama. Setting up permissions across spaces was a bit wierd at first, but once we set a convention it stuck.
For ease of implementation we added the web snippet and mobile SDKs and instrumented our core events in a single sprint. The tracking plan and event dictionary helped us avoid messy names. Docs were clear and the sample code saved us hours.
For customer support our CSM actually follows up, not just a bot. Tickets get a same day reply most of the time and the office hours were super helpful during onboarding. I wish some replies were less templated, but overall they are responsive and kind.
For frequency of use I am in Amplitude almost every day. I check a few core dashboards in the morning, then build ad hoc funnels a couple times a week. Leadership reviews the weekly product report straight from Amplitude links, which keeps us aligned.
For ease of integration it plays nicely with our CDP and warehouse. We send cohorts to our messaging tool, share charts to Slack, and backfill data from the warehouse without drama. Setting up permissions across spaces was a bit wierd at first, but once we set a convention it stuck.
What do you dislike about the product?
There is a learning curve once you move past the basics. Advanced formulas and very specific cohort logic take practice and I still trip over it ocassionally. If you rush the event schema you will spend time on cleanup later, so plan that upfront. The interface can feel busy and sometimes I forget where a chart was saved. Pricing is fair but can grow with event volume, so governance and archival matter. Export options could be a little more flexible. None of these are deal breakers. Overall I would definately reccommend it for teams that want trustworthy product analytics that people actually use.
What problems is the product solving and how is that benefiting you?
As a business analyst, the biggest problem Amplitude solves for us is turning messy product behavior into clear, trustworthy insigts that anyone on the team can use. Before, I spent hours writing SQL and reconciling dueling numbers from different tools. Now we have one place to explore the journey from first touch to retention, and I can answer most questions in minutes instead of days.
It closes our self serve gap. Product managers, designers and even support leads can build funnels and retention views on their own, so I am not a bottleneck anymore. That speed shows up in real work. We spot where users drop off, build a cohort right from that step, and send it to marketing or in app messaging. The loop from finding a problem to acting on it is much shorter.
Amplitude also fixes our definition drift. The tracking plan and event dictionary force us to agree on names and properties. That sounds boring, but it means we finally have one source of truth for activation, engagement and upgrade. Execs look at the same dashbaords we do, which reduces the debate and focuses us on the decision.
For prioritizaiton, the impact analysis is gold. I can slice usage by persona, plan tier or region and show which features actually drive repeat visits and revenue proxy metrics. That makes roadmap talks way less opinion driven. When we ship, I use cohorts and baseline retention to show if a change really moved the needle or if it was just noise.
Integrations help too. We bring in warehouse attributes, backfilled when needed, and send audiences back out to our messaging tools. That keeps our campaigns aligned with real product behavior, not just guesswork.
Net benefit is faster cycle time, fewer rework loops, and clearer accountability. I spend less time pulling data and more time explaining what it means. Even with the ocassional learning curve and a UI that can feel busy, the day to day value is obvious. It helps our team make better decisions, quicker, and with confidence that the numbers are right.
It closes our self serve gap. Product managers, designers and even support leads can build funnels and retention views on their own, so I am not a bottleneck anymore. That speed shows up in real work. We spot where users drop off, build a cohort right from that step, and send it to marketing or in app messaging. The loop from finding a problem to acting on it is much shorter.
Amplitude also fixes our definition drift. The tracking plan and event dictionary force us to agree on names and properties. That sounds boring, but it means we finally have one source of truth for activation, engagement and upgrade. Execs look at the same dashbaords we do, which reduces the debate and focuses us on the decision.
For prioritizaiton, the impact analysis is gold. I can slice usage by persona, plan tier or region and show which features actually drive repeat visits and revenue proxy metrics. That makes roadmap talks way less opinion driven. When we ship, I use cohorts and baseline retention to show if a change really moved the needle or if it was just noise.
Integrations help too. We bring in warehouse attributes, backfilled when needed, and send audiences back out to our messaging tools. That keeps our campaigns aligned with real product behavior, not just guesswork.
Net benefit is faster cycle time, fewer rework loops, and clearer accountability. I spend less time pulling data and more time explaining what it means. Even with the ocassional learning curve and a UI that can feel busy, the day to day value is obvious. It helps our team make better decisions, quicker, and with confidence that the numbers are right.
Amplitude empowers us with accessible user analytics, building a shared, data-informed culture.
What do you like best about the product?
Honestly, what I like best is that it lets you get answers to real questions about how people are using your product.
For starters, you can zoom in on super specific groups of users. Instead of looking at everyone, you can focus on just the people who, for example, signed up last month but haven't used a key feature yet. It helps you stop guessing and start knowing.
I also love how you can see the exact path people take through your app or website. It’s like seeing a trail of footsteps that shows you where they get confused or stuck, which is incredibly helpful for figuring out what to fix.
And maybe the best part is that you don't need to be a data genius to use it. It’s simple enough that our founders, product managers and marketers can find their own answers, which means everyone on the team can talk about what’s really happening with our users
For starters, you can zoom in on super specific groups of users. Instead of looking at everyone, you can focus on just the people who, for example, signed up last month but haven't used a key feature yet. It helps you stop guessing and start knowing.
I also love how you can see the exact path people take through your app or website. It’s like seeing a trail of footsteps that shows you where they get confused or stuck, which is incredibly helpful for figuring out what to fix.
And maybe the best part is that you don't need to be a data genius to use it. It’s simple enough that our founders, product managers and marketers can find their own answers, which means everyone on the team can talk about what’s really happening with our users
What do you dislike about the product?
First off, it can be a real beast to learn. It's not a tool you just pick up in an afternoon. You have to genuinely invest time to get the hang of it, which is tough when you just need a quick answer to a question.
It can also get seriously expensive, fast. The price is often tied to how much you use it, so the bill can creep up on you as your company grows. For smaller teams or startups, that price tag can be a real deal-breaker. We at MyMentalPal were on a scholarship programme last year, but have now opted for a paid plan.
Finally, the initial setup can be a nightmare. Everything depends on getting your data tracking right from day one. That means a ton of planning and help from developers, and if you get that part wrong, it's incredibly difficult to fix later.
It can also get seriously expensive, fast. The price is often tied to how much you use it, so the bill can creep up on you as your company grows. For smaller teams or startups, that price tag can be a real deal-breaker. We at MyMentalPal were on a scholarship programme last year, but have now opted for a paid plan.
Finally, the initial setup can be a nightmare. Everything depends on getting your data tracking right from day one. That means a ton of planning and help from developers, and if you get that part wrong, it's incredibly difficult to fix later.
What problems is the product solving and how is that benefiting you?
The biggest problem Amplitude solves is that it stops us from just guessing what our users are doing. Before, it felt like we were flying blind. We knew people were signing up, but we had no idea what happened after that.
Now, I can answer really important questions. For example, I use the 'funnels' feature all the time to see exactly how many people complete a class from start to finish. It shows me the precise step where they get stuck or just give up, so we know what part of the class experience isn't working.
It's the same for our business goals. I can track the entire path from someone signing up for a free trial to the exact moment they pay for a subscription. Finding the drop-off points in that journey is huge—it tells us exactly what we need to fix to get more paying customers.
So, the benefit is simple: We're making decisions based on what people actually do, not on what we think they do."
Now, I can answer really important questions. For example, I use the 'funnels' feature all the time to see exactly how many people complete a class from start to finish. It shows me the precise step where they get stuck or just give up, so we know what part of the class experience isn't working.
It's the same for our business goals. I can track the entire path from someone signing up for a free trial to the exact moment they pay for a subscription. Finding the drop-off points in that journey is huge—it tells us exactly what we need to fix to get more paying customers.
So, the benefit is simple: We're making decisions based on what people actually do, not on what we think they do."
We run on amplitude
What do you like best about the product?
Amplitude has transformed how we validate decisions. It’s used every hour because anyone on my team can independently get answers because it's that easy to use. Beyond analytics, we rely on it for troubleshooting, diagnosing issues, and tracking system health, with alerts when something goes wrong. And of course, the best part is the A/B testing functionality in funnels.
What do you dislike about the product?
- Using formulas is challenging (I can't calculate product stickiness correctly)
- Editing graphs from my own Home page duplicates a drafts and saving it won't affect the original
- Segmentation analysis doesn't have the same functionality like funnels (like significance)
- Editing graphs from my own Home page duplicates a drafts and saving it won't affect the original
- Segmentation analysis doesn't have the same functionality like funnels (like significance)
What problems is the product solving and how is that benefiting you?
Taking the hassle of analyzing data. It is driving out B2C conversations higher because now we keep running A/B tests. We also now do amplitude driven product features meaning every app feature now has success metrics and this helps us align the goals.
Comprehensive, User-friendly and highly effective
What do you like best about the product?
I like how Amplitude Analytics provides deep, real-time insights into user behavior, making it easy to track engagement, retention, and conversion trends.
What do you dislike about the product?
While Amplitude Analytics is powerful, its interface can be complex for new users, and some advanced features have a learning curve that requires time to fully utilize.
What problems is the product solving and how is that benefiting you?
Amplitude Analytics helps us understand user behavior, track engagement, and measure product performance in real time. This enables data-driven decisions, improves user retention, and optimizes overall business outcomes
Great for product insights & user behavior.
What do you like best about the product?
Deep Behavioral Insights, Powerful Funnels & Retention Analysis
What do you dislike about the product?
New users or non-technical teams often feel overwhelmed. Getting comfortable with things like event taxonomy, cohort definitions, and advanced reporting takes effort
What problems is the product solving and how is that benefiting you?
Lack of visibility into customer journeys
Problem: Hard to see where shoppers drop off (e.g., browsing → cart → checkout).
Benefit: Funnel analysis shows exact friction points, so you can reduce cart abandonment.
Problem: Hard to see where shoppers drop off (e.g., browsing → cart → checkout).
Benefit: Funnel analysis shows exact friction points, so you can reduce cart abandonment.
Amplitude makes tracking user behavior and engagement simple
What do you like best about the product?
I like that Amplitude provides clear insights into user behavior with easy-to-use dashboards and powerful segmentation, making it simple to track engagement and conversions.
What do you dislike about the product?
Sometimes the interface feels complex, and advanced features require a learning curve.
What problems is the product solving and how is that benefiting you?
Amplitude helps identify how users interact with our product, uncover drop-offs, and measure engagement. This allows us to make data-driven decisions, improve user experience, and boost retention.
Market leadling Product Analytics Platform
What do you like best about the product?
I like the most that Amplitude Analytics is easy to use and offera an intuitive UX design.
Amplitude is also very responsive and open to feature requests
Amplitude is also very responsive and open to feature requests
What do you dislike about the product?
Not much, but a mobile app would be desirable.
What problems is the product solving and how is that benefiting you?
Most Product Analytics use cases are covered by their out-of-the-box charts/analyses
ultimate analytics
What do you like best about the product?
i like amplitude because it’s easy to get into – even non-technical teammates can spin up charts and answer questions on their own. the product feels fast and reliable, and i find myself checking it multiple times a day without friction. the range of features is solid too, you can slice and dice data in almost any way, and the integrations cover most of the tools we use. when i’ve needed help, support has been responsive and generally useful. plus, their documentations AI is a cherry on top
What do you dislike about the product?
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What problems is the product solving and how is that benefiting you?
analytics & in-app guides
Best tool for product analytics!
What do you like best about the product?
Apart from providing lot of handy features like live event tracking, session replays and conversions, I think amplitude is very easy to use and integrate with products in general. Our dev team faced little to no issues in the implementation of amplitude with our existing products. We use amplitude a lot and I think its honestly one of the best product analytics tool I have used.
What do you dislike about the product?
One thing which is not doable is the ability to compare analytics across organisations. It would be really cool to track metrics and KPI's across products in one place.
What problems is the product solving and how is that benefiting you?
Amplitude is solving a bunch of business problems for us but primarily its tracking and analysing conversions and drop offs across different stages in our products. And with the granularity in the data available which comes from event properties and user properties it really becomes very easy to do in depth analysis instead of making assumptions or relying on other sources for data.
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