Amplitude Digital Analytics Platform
Amplitude AnalyticsExternal reviews
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Amplitude offers extensive capabilities without extra effort
What do you like best about the product?
Simple implementation default events, low entry barrier to the tool, extensive capabilities for both basic and advanced analytics, user-friendly interface, plenty of available integrations, and clear documentation, the custom event feature in the interface is very useful.
What do you dislike about the product?
Report building is limited in terms of available features, and sometimes a report with more advanced settings is required.There are only minor variations in how reports can be arranged on the dashboard. At times, certain functionality is missing and cannot be purchased separately, only by upgrading the plan.
What problems is the product solving and how is that benefiting you?
End-to-end analytics. Data from Customer, Intercom, CRM, and ad accounts are consolidated in Amplitude. It allows you to see the full user journey.
Understanding user conversion, showing potential growth points.
Evaluating the impact of website changes based on data.
Channel and advertising analytics for optimization.
Understanding user conversion, showing potential growth points.
Evaluating the impact of website changes based on data.
Channel and advertising analytics for optimization.
A powerful analytics tool
What do you like best about the product?
Granularity of the data, visualizations, ease of share with colleagues
What do you dislike about the product?
Need a bit of learning curve (mostly internally to understand how data is prepared)
What problems is the product solving and how is that benefiting you?
Users' adoption, engagement, stickiness and retention through features we launch. Also global KPIs
Easy to use as a marketer
What do you like best about the product?
It's easy to use and duplicate graphs from previous analyses. I also really enjoy how easy it is to make a dashboard so my team can keep track of kep campaigns and events.
What do you dislike about the product?
I wish the error messages were more detailed so I know how to fix issues I come across when creating charts.
What problems is the product solving and how is that benefiting you?
Amplitude helps us know which marketing efforts are paying off. Our CRM system also has very limited A/B testing capabilities so through amplitude we can set up tracking to test more and track what performs the best.
Pleasant and Insightful Analytics!
What do you like best about the product?
The most helpful things about Amplitude are honestly the simplicity and intuitive of the platform. I tend to use it everyday in my work as a Product Manager and found that its both great for getting quick insights/high level understandings of my features, but also allows me to very easily deep dive into any specific metric and look further into it. The way the dashboards change live in response to your edits and nothing feels clunky or awkward to use make it a breeze to go in and just try and figure things out, even if the dashboards dont work at first. I truly enjoy the tinkerability the platform shows and how much you can learn from just one session of creating dashboards and messing around!
What do you dislike about the product?
The only downside I have to using Amplitude right now is that at times it can be difficult to figure why some charts may not be working or to understand what type of chart would be best for the visualization I am trying to build. This is also due to my limited statistics knowledge, but it would be very cool to see Amplitude build out some education features in their product to help educate users as they use the product, building their statistics knowledge alongside working with actual data.
What problems is the product solving and how is that benefiting you?
Amplitude is the engine that powers our customer analytics in any experience we provide them. With the app, we are able to solve the problem of understanding our customer behavior at a deeper level and tracking across a customer experience what they are seeing, where they are going, and what in their experience might not be matching up to their (or our) expectations.
The benefit from Amplitude is massive! Being able to understand a whole customer journey in a non-bias way is massive for my product analytics, and it helps us with decision making on how we build our experiences.
The benefit from Amplitude is massive! Being able to understand a whole customer journey in a non-bias way is massive for my product analytics, and it helps us with decision making on how we build our experiences.
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."
Real-Time Insights and User-Friendly Segmentation
What do you like best about the product?
I find real-time data sync to be very useful, especially for monitoring user activity after sending out a campaign or going live with a new feature. It's great for seeing where users are dropping off and identifying any glitches or bugs by segmenting via error code or error message events. Segmentation with different user properties is also very valuable, allowing us to do behavioral segmentation based on demographics like gender, age groups, and income bands. The ability to perform paired segmentation, such as male users under 25, helps us see patterns in data and user journey more clearly. Amplitude Analytics being easy to use with a friendly UI is a big plus for both real-time data sync and segmentation.
What do you dislike about the product?
I think allowing more flexibility in segmentation such as allowing to segment based on an event property not in the events listed in the chart would be a game changer.
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics for real-time anomaly detection and understanding user drop-off behavior, which helps in optimizing conversion rates and segmenting users for behavioral insights.
Analytics
What do you like best about the product?
I like the number of features available - we can have all our reports in one place. Once you get the grip of it, it's easy to implement.
What do you dislike about the product?
I dislike that in the segmentation charts, I sometimes can't add the correct formula I want to use (and can't event find the reason why)
What problems is the product solving and how is that benefiting you?
It helps us have all our data in one place - we connect it with various tools we use and we can measure the impact in our product.
A must tool for Product managers
What do you like best about the product?
Amazing templates that you can reuse. You can visualise information that's valuable for every role at your company, not just PMs but CS, Sales, Marketing...
What do you dislike about the product?
It takes some time to ramp up. Amplitude AI works well but there's still room for improvement.
What problems is the product solving and how is that benefiting you?
Answering how users leverage our digital product. Feature adoption and retention mostly.
Powerful, Flexible, and Customizable Analytics with a Learning Curve
What do you like best about the product?
Amplitude Analytics has become an invaluable tool in my day-to-day work. What I appreciate most is its user-friendly interface combined with the freedom and flexibility it provides. We work with large member bases of data, and often I need to dig into smaller clusters to understand behavior at a more granular level. Amplitude makes this seamless through its cohort functionality, being able to create, define, and then analyze my own cohorts is incredibly powerful. This level of customization is truly unique compared to other analytics platforms I’ve used, and it’s what I enjoy most about working with Amplitude.Overall, Amplitude is a robust, flexible platform that allows me to tailor analytics to exactly what I need, making complex data exploration both manageable and insightful.
What do you dislike about the product?
I think one area for improvement lies in accessibility for newer users. At times, it can feel like you’re only scratching the surface of what the platform can do. The wide range of capabilities is impressive, but it can take some time to fully understand and apply them confidently. Once you get past that learning curve, however, the value it delivers is undeniable.
What problems is the product solving and how is that benefiting you?
Amplitude Analytics is helping us gain a much deeper understanding of how our events and initiatives are actually performing. Instead of just looking at top-level numbers, I can drill down into the data to see the reach and impact of our events. This has been especially valuable when working with large budget events, where patterns can easily get lost in the process.
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