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    Amplitude Digital Analytics Platform

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    Deployed on AWS
    Do you truly understand how your digital products drive growth? Amplitude helps you turn product data into business impact. As a unified platform for product and customer analytics, Amplitude gives you real-time insights and the speed to act, so you can optimize every digital experience, as it happens.
    4.5

    Overview

    We are living through a digital revolution, with digital products changing every aspect of how we work and live. Yet, organizations still struggle to understand how their digital products drive their business.

    Poor data quality and inaccessible insights make it difficult to analyze, test, and personalize digital experiences. Their high effort, low impact tooling is slowing innovation while competition grows.

    The Amplitude Digital Analytics platform is a unified system for data, analytics and personalization. It brings every team across the organization together with common data and visibility to:

    • See and understand customer behavior
    • Predict which actions lead to business outcomes
    • Adapt each experience to maximize impact

    Amplitude Products:

    • Analytics: Accelerate product decisions & actions that drive growth with the #1 product analytics solution.
    • AI Agents: AI assistants that work 24/7 across Amplitude to monitor metrics, deliver insights, and enable intelligent action.
    • Experiment: Determine and deliver the best experiences faster with the first experimentation solution powered by analytics and customer behavior.
    • Guides and Surveys: Transform how you engage users with personalized in-product messaging based on behavioral data.
    • Session Replay: Combine real-time analytics with visual replays for a comprehensive view of user behavior.
    • Activation: Unify customer data across your entire data ecosystem and activate those insights into more personalized experiences.

    For custom pricing, EULA, or a private contract, please contact aws-sales@amplitude.com  for a private offer.

    Highlights

    • Breadth & depth of insights - Instantly answer simple and complex questions with a 360-view of the user journey.
    • Self-improving products - Move from understanding what's happening to constantly improving what's possible.
    • Built for speed & action - Continuously innovate with a fully-integrated analytics and personalization suite.

    Details

    Delivery method

    Deployed on AWS
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    Buyer guide

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    Pricing

    Amplitude Digital Analytics Platform

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Amplitude Growth
    Amplitude Growth Package with up to 50 Million Events Included
    $80,000.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Additional Event Volume
    $10,000.00

    Vendor refund policy

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In eCommerce, Data Analytics
    Top
    10
    In Analytics, eCommerce
    Top
    25
    In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Data Analytics Capability
    Unified platform for comprehensive product and customer behavioral analytics with real-time insights generation
    AI-Powered Insights
    AI agents that continuously monitor metrics, deliver insights, and enable intelligent automated actions
    User Journey Tracking
    Comprehensive 360-degree view of user interactions and behavioral patterns across digital experiences
    Experimentation Framework
    Native experimentation solution powered by analytics and customer behavior data for experience optimization
    Cross-Platform Data Integration
    Ability to unify customer data across multiple ecosystem platforms and activate insights for personalized experiences
    User Interaction Visualization
    Advanced heatmap and journey tracking technology that captures user clicks, hovers, and scrolling behaviors across digital platforms
    Session Replay Technology
    Comprehensive user journey recording system that captures mouse movements, clicks, taps, and swipes with precise replay capabilities
    Performance Analytics
    AI-powered analytics platform that evaluates content element performance using metrics like attractiveness, engagement, click rate, and conversion
    Digital Experience Intelligence
    Machine learning-driven platform that provides deep insights into user progression from entry to exit across digital interfaces
    Impact Measurement Framework
    Advanced quantification system that correlates user experience metrics with key business performance indicators like conversion rates and revenue
    Data Capture Automation
    Autocapture technology that automatically tracks and streams comprehensive digital interaction data without manual event tracking
    Real-time Data Analysis
    Instant access to high-quality behavioral data with real-time exploration and analysis capabilities
    Data Science Integration
    Advanced data science techniques applied to complete digital engagement data to uncover behavioral insights
    Streaming Data Pipeline
    Automated event streaming infrastructure enabling continuous data collection across web, mobile, and digital applications
    Behavioral Insight Generation
    Automated insight mining that identifies unique user engagement patterns and potential improvement opportunities

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    4.5
    2606 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    40%
    50%
    9%
    1%
    0%
    4 AWS reviews
    |
    2602 external reviews
    External reviews are from G2  and PeerSpot .
    Sachchit C.

    Fast Insights and Seamless Onboarding

    Reviewed on Nov 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

    Reviewed on Nov 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

    Reviewed on Nov 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

    Reviewed on Nov 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

    Reviewed on Nov 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.

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