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    Sachchit C.

Fast Insights and Seamless Onboarding

  • November 29, 2025
  • Review provided by G2

What do you like best about the product?
I appreciate Amplitude Analytics for its remarkable speed, particularly in generating charts and processing the daily event stream. These features provide me with immediate insights, allowing me to quickly assess user interactions and the performance of various features within my app. The speed of the charts means I don’t have to wait long to get critical data, which helps me make timely decisions. Additionally, the daily event stream offers substantial visibility into daily app usage patterns, giving me a detailed understanding of user behavior. This real-time insight is crucial for optimizing app performance and enhancing user experience. The onboarding process with Amplitude Analytics was also a pleasure, as it was quite easy and breezy, allowing for a smooth transition. I am so pleased with the product that I would rate it a 10 out of 10 in terms of recommending it to friends or colleagues. The decision to switch from Clevertap to Amplitude Analytics was primarily driven by the latter’s speed and efficiency, which significantly surpassed its predecessor.
What do you dislike about the product?
The plans get too expensive after a point for me
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics to gain visibility into my app's daily usage and feature conversion, with speed and insights from the event streams and fast charts.


    Nataliia Burmei

Analytics dashboards have transformed how our teams monitor user journeys, detect issues quickly, and support data‑driven development across the organization

  • November 28, 2025
  • Review from a verified AWS customer

What is our primary use case?

My main use case for Amplitude is to set up analytics dashboards for monitoring and understanding user behavior and spotting issues and bugs when we release software.

A quick specific example of how I used Amplitude for monitoring user behavior or spotting issues is when we want to release feature A and have the user stories that incorporate events, which pop up on the Amplitude dashboard. From that perspective, I could see the adoption, see if expected users have expected features, and if we see some spikes or drops, then we understand something went wrong. From the technical perspective, we monitor our API endpoints, seeing both successful and error responses, and we can set up alerts if something goes wrong to track down details and figure out what went wrong.

My main use case is very useful for exploratory testing, understanding user behavior, and feeding back into testing techniques and the software development life cycle. Things that we could miss during planning, things we are not aware of, we feed back, implement them, and see how it goes moving forward.

What is most valuable?

The best features Amplitude offers are useful dashboards that I set up easily from a user journey perspective, as well as a single point to understand one event. I appreciate how it integrates with other systems and all the insights you can drill into, giving you a lot of information for one of the users. You can see not only how they use the product but also which platforms they are on and which areas they are using. All those details help a lot to understand users from a holistic point of view.

The dashboard setup is easy to discover for a newbie; although sometimes over time, it gets complicated. Last year's release or UI redesign got a bit more confusing on how to make one or the other dashboard. In general, you have user paths, so there are two or three main paths to go through, which was good to understand. For integrations, we integrate with tools such as Slack and other monitoring tools as well as our SDK for our apps, allowing us to send events from our applications to Amplitude.

Amplitude offers a lot of features. I'm not an analyst to use all of them; I'm a quality software engineer, so I'm sure I didn't use all of them. For me, it was enough. From my perspective, the simpler, the better, so I can quickly leverage the features. Analysts might do more complicated things, and it was also useful; I remember you can use different queries if you need to find information very quickly, which was useful.

Amplitude has impacted my organization positively in a huge way. Everyone uses Amplitude if they want to have some learnings before implementing new features. It is used during software implementation to gain insights into understanding user behavior, which is massive for debugging issues. You can find the user, see where they're coming from, and what went wrong. So it is absolutely the same as on monitoring. Everyone in the business adopts data-driven development, and Amplitude is one way to understand that data and user behavior, which backs up everyone's work. This leads to a massive positive change, positive attitudes, lots of learning, and encouragement to use Amplitude in daily work for everyone in the company, not just analysts.

A specific outcome and metric that show Amplitude's impact is when I have a dashboard monitoring users logging into an iOS app for a particular release. I want to monitor, hypothetically, and it is useful if the chart is going smooth and the adoption of the new version is going up, which means things are going well for users. The version is out there, downloaded, and people can log into the app. If we can see previous app behavior, it indicates that if people downloaded the new app version, the previous one is going down. If things aren't going well, such as people can't log in or aren't adopting the version much, we drill down to understand what happened. Mostly, we monitor new feature adoption or existing core parts of the business functionality on a daily basis, having Slack channels notify us if anything goes beyond the threshold. This helps us spot lots of bugs, such as personalization that we thought some segments of people would get, but they were not getting it, allowing us to fix our personalization because we had insights and understood what segment of people did not get what we expected.

What needs improvement?

I would improve Amplitude by making it as clear and easy to use as possible. The feature discoverability could be simpler. I think AI could help in building queries and dashboards based on data, assisting people in learning about the tool, whether they're new or not analysts, helping them discover what they can do more. Additionally, insights on monitoring, identifying potential issues, and suggesting areas to look at to better understand trends on that dashboard would be appreciated. I realize that every context matters, but making it less confusing would be my main approach.

I choose nine because, lately, when I was using it, the more people wanted to improve, the more complex things got—not in a good way, but confusing. If I were using it right now without prior knowledge, I wouldn't know where to start. It matters when an expert is in the room and when new users want to do some things. I wouldn't know where to start; that would be my main concern—how you help people who are not data analysts or who want to discover their data to get into Amplitude.

For how long have I used the solution?

I have been using Amplitude in my previous job for about two or three years.

What other advice do I have?

My advice to others looking into using Amplitude is to understand what you want to get, what your main goal is because Amplitude can offer a lot.

I have a very positive experience with Amplitude. I enjoyed it a lot in my work. I don't use it now, but I hope to have a chance to use it in the future. I would rate my overall experience with Amplitude a nine out of ten.

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?


    reviewer2782884

Data-driven behavioral insights have transformed how I predict retention and optimize customer journeys

  • November 26, 2025
  • Review from a verified AWS customer

What is our primary use case?

My main use case for Amplitude is for data extractions from multiple sources, and I have used Amplitude in my recent project at Citi. Data extraction and behavioral analytics represent my primary use cases.

A specific example of how I used Amplitude in my HCT project involved using Amplitude exports to derive behavioral features like session frequencies and feature adoption, which boosted customer retention predictions. I used Amplitude to extract user engagement data and enrich predictive analytics with behavioral insights.

Besides data extraction and behavioral analytics, my other use case is enabling product and customer analytics. I generated clickstream, CRMs, and transactional data sets into Amplitude to measure user journeys, funnel drop-offs, and retention trends, along with marketing attributes.

My company provided me with access to Amplitude through their purchase.

What is most valuable?

Amplitude offers excellent features including behavior level analytics, as well as funnel analysis and cohort analysis, which are very easy to access and visualize. Cohorting is something that other BI tools cannot do natively, and that is the main feature I value about Amplitude.

The cohorting feature specifically helps in my day-to-day work by allowing me to understand where the drop-off points are. Funnel analysis shows me what the customer journey is and what the retention rate looks like. When my task was to create a unified event analytics pipeline, I used Amplitude for real customer behavior insights, which made it easier for me to grasp the basic idea about the customers and the data. The dashboard shows real-time funnel and retention curves and marketing insights such as MTA, which improves campaign targeting and raises personalization accuracy.

Amplitude has positively impacted my organization by providing better behavior level analytics individually, which other BI tools cannot do natively. It has helped the product teams or my team to make faster decisions without relying on engineering for every question.

Since I can see everything in Amplitude dashboards, it helped the product teams to make quicker decisions to understand the drop-off points. For example, if someone added something to the cart and did not purchase it, I can understand the retention of that customer and that product, making it much easier to make decisions without relying on other engineering teams for data and approvals. For ad-hoc analysis, it is much better.

What needs improvement?

I am very comfortable using Amplitude and do not have any other feedback other than it being a very useful tool that I appreciate using in my projects. It is good as of now, and I have no additional thoughts about needed improvements.

I give it a nine because it is close to a perfect ten for me, but it is only useful in one layer of the project, not the other, which the tool is supposed to do. In general, it is very impactful in my project.

For how long have I used the solution?

I have been using Amplitude for three to four years.

What do I think about the stability of the solution?

Amplitude is stable.

What do I think about the scalability of the solution?

Amplitude is quite scalable. It is a good tool to use and a very helpful addition to my projects.

How are customer service and support?

I have not reached out to customer support because I have not had any issues; everything has been manageable.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

I have always been using Amplitude.

What was our ROI?

Amplitude has provided a return on investment. It has helped us improve campaign targeting and raised personalization accuracy by almost twenty-five percent, and it has saved us a lot of time since I can see the analysis as quickly as possible in the dashboard, resulting in significant time and money saved.

What's my experience with pricing, setup cost, and licensing?

I am not entirely certain about the pricing, as my company has given me access. Amplitude's pricing is good and not overpriced; it is fair for the amount of data we are extracting and the analysis we perform.

Which other solutions did I evaluate?

My company has provided me with this tool only, so I have been working with Amplitude from the early stages of my career.

What other advice do I have?

The advice I would give to others looking into using Amplitude is to start using this tool because other BI tools cannot do everything, and the dashboards with live dashboarding are superior. This is the better tool available in the market, so I would advise opting for Amplitude.

I really appreciate using Amplitude; it is a nice addition to my projects, and it helps me make faster decisions. I give this product a rating of nine out of ten.


    Computer Software

Solid tool for tracking what matters

  • November 26, 2025
  • Review provided by G2

What do you like best about the product?
The path and journey tools make it simple to spot odd user behavior or friction. It also fits well with other analytics stacks.
What do you dislike about the product?
As a new user, often feel lost because the event structure takes time to understand.
What problems is the product solving and how is that benefiting you?
It helps to see how people actually use the products, also spot where they drop off, what they return to, and which features matter. Making it easier to plan improvements and measure if changes work.


    Saurav Bhattacharjee

Empowers teams to build visualization-rich reports and make faster decisions using historical user behavior data

  • November 25, 2025
  • Review from a verified AWS customer

What is our primary use case?

My main use case for Amplitude, which relates to my main job role, is analyzing data. That involves creating dashboards, connecting click-level data sources to Amplitude, and then consuming reports and creating analyses for stakeholder-facing reports, which would be consumed by company leadership, the analytics team, product managers, and others.

A specific example of a dashboard we built with Amplitude is a click-level report that I created recently when I was with TurboTax. We made it to study the clicks on every page. Essentially, what we visualized was a Sankey chart of how people are moving through pages. Since we changed the entire product stack, it was important for us to verify where the drop-offs were. Eventually, we moved the idea of a Sankey chart to a drop-off chart where we studied the bounce rate for each page, and we had a bar graph showing the number of people on one page and throughout their journey, where people dropped off. That drop-off report was a big project, and I think that helped the team recognize what the bottlenecks were and what the problem areas were in the product.

The reaction from our team and stakeholders to the findings from the drop-off report was that it had already been discussed with the major stakeholder product managers, so it was a requirement we mutually discussed and came to. Since Amplitude has incredibly easy functionality for accessing the past year of data, it became a tool that even the PMs could play around with, allowing us to leave them to self-serve. That acted as a big positive for us in the analytics team because the more our stakeholders use self-serve reports, the less work it is on our shoulders. That was especially great from the PMs because we could reconcile our Amplitude data with other data sources, such as the Databricks data lake, in a short span of time. Changes were made right from UX level changes on the pages to broader decisions on whether we need to clamp down on the entire tax filing experience.

What is most valuable?

I think the best feature Amplitude offers is its data visualization capabilities. As a subject matter expert who has been working on it for seven to eight years, I consider Amplitude to be the closest any application software gets, and it just makes life easy for developers as well as people with less developer experience. Even for product managers who do not have data visualization development experience, they can navigate very easily, and so is the case for any other stakeholder. That is the best feature.

What stands out about Amplitude's data visualization compared to other tools I have used is the easy integration with clickstream data. It was seamless for that data to be loaded into Amplitude, with a good volume that easily loads onto Amplitude without having to create intermediate tables, which was the case with Tableau. Everything on top of that is easy usage and functionality because we used to do it on Chrome without needing a desktop server to create data visualizations. This entire package is really robust.

Collaboration was a significant part. What improves collaboration is the self-serve functionality, which was a big deal for PMs to have access to just that data and also the base layer of how that data is structured, which connects to clicks that every report refers to. Business stakeholders can pull different cuts and slices without relying on analytics, which is usually quite loaded with tasks. That was the best thing, as collaboration allowed business stakeholders to attempt to go through the reports and create their own reports, which was beneficial.

I notice faster decision-making for sure, as business stakeholders could themselves get their own reports.

What needs improvement?

I think areas for Amplitude's improvement include data retention. The maximum data I have worked with, the clickstream data on Amplitude, is two years, whereas we rely on Tableau for historical data of at least two years. I am not sure whether it was my organization paying for lower retention or not, but having historical data would take away the reliance on Tableau. Secondly, reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful. Lastly, a more focused approach on error logs is necessary. I have found that, at least with Intuit, we used Splunk more for error logs than Amplitude. Although Amplitude had the capability, developers seemed to prefer Splunk, so if that could be improved, it would be good.

For how long have I used the solution?

I have been working in my current field for about seven and a half to eight years. I have been using Amplitude for five to six years.

What do I think about the stability of the solution?

I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets. One of the strongest points of Amplitude is its functionality for making visualizations, and speed while handling large datasets is really good. There has never been an issue where it hung or took a lot of time, and that is where Amplitude has the edge in handling large datasets with clickstream data.

What other advice do I have?

I did not work a lot on the integration side of Amplitude, so the data engineers worked on integrating clickstream data, and my problems revolved around reconciling this clickstream data on Amplitude with the Databricks data. It made for a tiresome experience because essentially they should be the same, but they were not due to different reasons on the data engineering side. I did not really integrate Amplitude with other tools per se.

Amplitude's security and access controls are completely in-house, and organization-wide accesses were provided right when we onboarded onto our analytics roles, so that was never a problem. Access controls were also straightforward, and we did not have any issues there.

Managing data privacy and compliance requirements with Amplitude was easy. As far as I remember, the challenges with data privacy and compliance requirements did not raise any issues flagged at any point by the data engineers or the Amplitude admin. We could seamlessly use the data from an analyst perspective.

We did not use the mobile app, so I cannot comment more about it.

I would describe Amplitude's reporting and analytics capabilities compared to other tools I have used as really good. I would say it is on par or just shy of Tableau, which, for me, is the best tool in the market, so it is right up there.

I went through the training resources and documentation when I joined in 2019, and as far as I remember, they were useful. The training may have included videos or articles, but I do not fully recall. The prompts on the website and the nudges were really helpful.

My advice for others looking into using Amplitude is that if it is clickstream data, Amplitude is likely the best option. Having accessible data which can be easily customized and manipulated by even business stakeholders with less technical knowledge is one of the best things. I rate Amplitude an eight because the changes I mentioned, including longer data retention, easier integration with AWS data sources, and a better focus on error logs, would make it a ten for me.


    reviewer2780613

Tracks business metrics and experiment results to support faster decision-making

  • November 24, 2025
  • Review provided by PeerSpot

What is our primary use case?

My main use case for Amplitude is to use it as a dashboard to view my business metrics and measure results of AB test experiments.

A specific example of a metric I have tracked recently with Amplitude is the number of new paid users on my site, as I look at a chart in Amplitude.

What is most valuable?

The best feature Amplitude offers is the ability to track metrics without having to specify them ahead of time.

This flexibility helps me in my day-to-day work because it saves time.

Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster.

It has helped me iterate faster by using Amplitude to measure the results of AB tests, which enables us to de-risk features and ship value to customers.

What needs improvement?

Amplitude could be improved by being cheaper.

For how long have I used the solution?

I have been using Amplitude for probably six or seven years.

What do I think about the stability of the solution?

Amplitude is stable.

What do I think about the scalability of the solution?

Amplitude's scalability is fine.

How are customer service and support?

I haven't had much experience with customer support.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I have used a number of tools in the space and the last one was Google Analytics.

I switched from Google Analytics to Amplitude because of the ability to see events without programming them ahead of time.

What was our ROI?

I haven't seen a return on investment and cannot share any relevant metrics, such as time saved, money saved, or fewer employees needed.

What's my experience with pricing, setup cost, and licensing?

My experience with pricing, setup cost, and licensing is that we are using a free version and would upgrade to a paid version if it were cheaper.

Which other solutions did I evaluate?

I didn't evaluate other options before choosing Amplitude.

What other advice do I have?

My advice to others looking into using Amplitude is to try it. My company does not have a business relationship with this vendor other than being a customer. I would rate this review an 8.


    Roman S.

Reliable Insights Tool with Some Performance Hiccups

  • November 23, 2025
  • Review provided by G2

What do you like best about the product?
I find Amplitude Analytics to be incredibly reliable and appreciate its well-known interface and features, which offer a rich array of options such as feature flags, dashboards, and user journey tools. The interface is particularly easy to use, making it accessible for users to navigate and leverage its functionalities effectively. I greatly value the wealth of useful functionalities provided by Amplitude Analytics as they enhance the overall experience, allowing for comprehensive product analytics and insights. Moreover, setting up Amplitude Analytics initially was a smooth experience, further emphasizing its user-friendly nature.
What do you dislike about the product?
I am dissatisfied with the speed of work and experience lags when using the chart screen in Amplitude Analytics, especially related to context menus when changing metrics.
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics for product analytics and insights, improving product traction, and analyzing experiments. Its easy-to-use interface and functionalities like feature flags and dashboards are invaluable.


    Frank Serafine

Tracks user journeys over time and helps identify behavioral patterns across the site

  • November 21, 2025
  • Review provided by PeerSpot

What is our primary use case?

Amplitude is our main product insights system, and it allows us to view the activity on our website and quantify certain KPIs about how users interact with the site.

We measure things such as monthly active users by seeing how many users have performed a tracked action within the last month. Monthly active users, or MAUs, is tracked in that way. We also have time series charts that establish patterns of user behavior as they make their way across our site, and we use those to analyze how they are using our site and how they are interacting with our products.

When we offer special sales on our products to our users, it is often crucially important to know how they are engaging with the sale and if they purchase that sale product or any additional products during that time. We have often used the funnel analyses of interactions during this time to enhance our sale offerings in the future and to make decisions about which products are giving the most return for our users.

What is most valuable?

The best features Amplitude offers are their funnel analyses, which allows you to specify any number of events in series and look at how many users performed those events in the certain configuration over time. Their time series graphing is also quite impressive, and time series analysis is normally something that is quite tedious to do manually. Amplitude does an excellent job at taking care of that, linking tracked events.

Amplitude has provided almost instant value to our dev team when they are deploying new trackable events and seeing how those events line up before they go out to production. The positive impact on our organization is really felt mostly by our product team because the product insights that we get from Amplitude are used to enhance and redesign our products as well as influence new offerings.

We have been able to assess the friction points on our website that users often encounter that lead to negative outcomes, and we have been able to either reduce or completely re-engineer those friction points to ease the friction on the user.

What needs improvement?

Amplitude can be improved by allowing more than a two-year look back window for most analyses. Usually, all they offer is that two-year look back window, and longer form time series analysis seems nearly impossible to do on this platform. Extending the time window with which you are able to look back can definitely be improved.

We attempted to use their screen recording and session recording capabilities as a replacement for a previous vendor, and we found that the functionality they offered did not stack up to the previous vendor. There is a lot of room for improvement on session recording.

For how long have I used the solution?

I have been using Amplitude for four years.

What do I think about the stability of the solution?

Amplitude is very stable.

What do I think about the scalability of the solution?

Amplitude is very scalable, considering that we do not have to do any manual work ourselves. It is all done on the back end.

How are customer service and support?

The customer support is exceptional. They also make themselves available in a Slack group. You can pursue answers whichever way you would prefer through the normal support routes or you can source it from the community that they offer on Slack.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We attempted to use their screen recording and session recording capabilities as a replacement for a previous vendor, and we found that the functionality they offered did not stack up to the previous vendor.

What's my experience with pricing, setup cost, and licensing?

I was not part of the setup cost scenario because it was already established before I joined the company. However, I am familiar with the re-upping of our contract over time and the pricing associated with that. Pricing is often egregiously high, and the company has changed billing models on us once already. It often needs to be negotiated with sales reps, which makes the process a bit long, and for a public benefit corporation, we do not often see any special accommodations budget-wise, which is a little disappointing.

What other advice do I have?

I chose a rating of nine out of ten because Amplitude has virtually every functionality that we need except for the aforementioned lack of long form time series analysis, and their pricing is often a bit egregiously high, needing to be negotiated down on an enterprise level.

There does not need to be a third-party cloud provider because Amplitude uses their own resources.

We do not have any established metrics simply because we have been using Amplitude for too long in order to have some formal metric. We are completely tied to Amplitude for our product insights at this point. It would simply be too great an expense for us to spin up another system that would provide such a service in such a robust fashion in a way that would be cost-effective.

I am not familiar with the initial implementation as Amplitude was already in use when I joined the company.

Be aware that Amplitude is very powerful, but also very expensive accordingly.

We do not have a business relationship with this vendor other than being a customer. My overall rating of this product is nine out of ten.


    Johanna G.

Powerful Analytics with Effortless Charts

  • November 21, 2025
  • Review provided by G2

What do you like best about the product?
I love how Amplitude Analytics provides valuable insights into user behavior, showcasing how people navigate through the app, identify where they get stuck, and evaluate conversion efficiency. This capability is incredibly important for assessing new features and maintaining the health of core app flows. I appreciate the ease of setting up charts and dashboards, which align perfectly with my expectations when interacting with the interface through buttons or elements. The addition of the AI-helper has enhanced my experience significantly, enabling me to easily query for insights and swiftly set up analyses like understanding time to conversion, with the flexibility to make adjustments as needed. These features collectively make Amplitude Analytics an essential tool for product analytics, and I would highly recommend it to others, rating it a perfect 10.
What do you dislike about the product?
I find it hard to explain to my engineers how they should send stuff to Amplitude. When it's a new person, I would like some help in explaining what I would like and how they can set it up. I also tried to set up a connection to Airship but it failed.
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics to understand user behavior, identify where users get stuck, monitor app health, and evaluate features. It simplifies setting up charts and dashboards, and with AI assistance, I quickly gain insights like time to conversion.


    Computer Software

Clear Insights and Effortless User Behavior Analysis

  • November 20, 2025
  • Review provided by G2

What do you like best about the product?
I would like to say that Amplitude Analytics helps teams to understand user behaviour without making the process feel complicated. It provides us clear, visual insights into how people move through a product like what they are doing, what features matters to them and what they are dropping off.
What do you dislike about the product?
Nothing to say any point in dislikes. I am fine with use of it.
What problems is the product solving and how is that benefiting you?
It helps us in understanding that how users interact with a product and turns that confusion into clear and actionable insights. It helps in reducing the need for heavy technical work or constant reliance on data teams by making analysis easy and accessible for everyone.