Sold by: Amplitude Analytics
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.
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Amplitude Growth | Amplitude Growth Package with up to 50 Million Events Included | $80,000.00 |
Dimension | Cost/unit |
|---|---|
Additional Event Volume | $10,000.00 |
Dimensions summary
This listing uses a contract model built around two dimensions. The Amplitude Growth Package is your base commitment. It includes up to 50 million events, which are counted each time a user takes a tracked action in your product. The Additional Event Volume dimension is an add-on. You buy it when your usage grows past the 50 million events covered by the base package. Together, the base package sets your starting capacity, and the add-on lets you scale event volume as your tracking needs increase over the contract term.
Top-of-mind questions for buyers
An event is any tracked action a user takes in your product, such as a button click, page view, signup, or purchase. Each tracked action counts once. One user can generate many events in a month, so your event count reflects total tracked interactions across your product.
The Amplitude Growth Package includes up to 50 million events. Once your tracked events exceed that amount, you cover the overflow through the Additional Event Volume dimension. You buy this add-on to extend your capacity, so both dimensions appear on the same contract as your tracking needs grow.
The Amplitude Growth Package sets your base cost and covers up to 50 million events. Additional Event Volume becomes the driver once you consistently exceed that included amount. Both charges apply together on one contract. Teams staying within 50 million events see cost driven mainly by the base package.
amplitude.com
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By Amplitude Analytics
By Contentsquare
By Heap
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10
In eCommerce, Data Analytics
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10
In Analytics, eCommerce
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In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Real-time Analytics and Insights
Provides instant access to product analytics with 360-degree view of user journey to answer both simple and complex questions about customer behavior.
AI-powered Monitoring and Insights
Includes AI agents that operate continuously across the platform to monitor metrics, deliver insights, and enable intelligent automated actions.
Experimentation Framework
Offers experimentation solution powered by analytics and customer behavior data to determine and deliver optimal user experiences.
Session Replay and Visual Analysis
Combines real-time analytics with visual session replays to provide comprehensive view of user behavior and interactions.
Customer Data Activation
Unifies customer data across the entire data ecosystem and enables activation of insights into personalized experiences through integrated activation capabilities.
User Interaction Visualization
Heatmaps and journey mapping capabilities that display user clicks, hovers, scrolls, and content element performance metrics including attractiveness, engagement, click rate, and conversion.
Session Replay Technology
Capability to replay individual user sessions including mouse movements, clicks, taps, and swipes to identify pain points and validate user experience hypotheses.
Customer Journey Analysis
End-to-end journey tracking from entry to exit with segmentation capabilities to identify opportunities, frustrations, and conversion progression patterns across key audience segments.
Impact Quantification Engine
Measurement and analysis of user experience impact on business metrics including conversion rate, revenue, site and app performance.
AI-Powered Analytics Platform
Scalable and flexible artificial intelligence-powered platform designed for analyzing digital experience data across websites and applications.
Automatic Event Capture
Autocapture technology that automatically captures granular digital interactions across the customer journey without requiring manual event tracking or additional engineering resources.
Real-time Data Analysis
Data science capabilities applied to complete and retroactive digital engagement data enabling real-time exploration and analysis of behavioral patterns.
Streaming Data Pipeline
Event streaming pipeline built on Autocapture architecture that delivers instant access to high-quality, trusted data at scale.
Cross-platform User Tracking
Capability to track and understand user engagement across web, mobile, and other applications within a unified platform.
Automated Data Integration
Fully automated data pipelines that enable users to act on insights through streamlined workflows and integration with chosen tools or data warehouses.
Standard contract
No
Customer reviews
Computer Software
Great for self-serve analysis, with a learning curve up front
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
The funnel dashboards are what I rely on most. In the past, answering a question like where users were dropping off in a flow meant submitting a data request and waiting in someone else’s queue—and by the time the answer came back, the context had usually shifted. Now I can build the funnel myself and iterate on it in the same sitting, which turns what used to be a multi-day round trip into a same-day answer. That move from “request the data” to “answer it myself” has been the single biggest win.
I also like that I can segment a funnel and immediately see which step the drop-off is concentrated in, without writing SQL. It lets me pursue my own hypotheses as they come up, instead of batching everything into one big ask.
I also like that I can segment a funnel and immediately see which step the drop-off is concentrated in, without writing SQL. It lets me pursue my own hypotheses as they come up, instead of batching everything into one big ask.
What do you dislike about the product?
Event selection and taxonomy are my biggest friction point. In a large org, there’s a lot of duplication in the event list: several similarly named events for what is effectively the same user action. The picker also doesn’t help you tell which event is canonical or even actively instrumented. As a result, building a funnel correctly depends on already knowing the taxonomy, which is a real problem for anyone new to the workspace. Surfacing volume or last-seen data directly in the event picker would resolve most of this confusion.
Onboarding also assumes you already know the tool. Getting access isn’t the same as being productive. The docs explain what each chart type does, but not which one to reach for given a specific question, so early on I spent more time debating chart types than actually analyzing. A guided “you’re trying to answer X, start here” path would shorten ramp-up considerably.
Discoverability of existing work is another challenge. With a large number of projects and lots of previously built charts and dashboards, it’s genuinely hard to know whether the analysis you need already exists. I’ve rebuilt things that were probably already sitting in someone else’s dashboard. Search seems to rely on you already knowing the right title, and the practical result is duplicated effort across teams.
Onboarding also assumes you already know the tool. Getting access isn’t the same as being productive. The docs explain what each chart type does, but not which one to reach for given a specific question, so early on I spent more time debating chart types than actually analyzing. A guided “you’re trying to answer X, start here” path would shorten ramp-up considerably.
Discoverability of existing work is another challenge. With a large number of projects and lots of previously built charts and dashboards, it’s genuinely hard to know whether the analysis you need already exists. I’ve rebuilt things that were probably already sitting in someone else’s dashboard. Search seems to rely on you already knowing the right title, and the practical result is duplicated effort across teams.
What problems is the product solving and how is that benefiting you?
The core problem it solves is the bottleneck between having a question about user behavior and getting an answer. Before, that usually meant filing a data request and waiting in an analyst queue, so turnaround was measured in days. By the time the answer arrived, the decision it was meant to inform had often already been made. Amplitude shifts that to self-serve, so the answer comes back while the question still matters.
The business benefit is twofold. First, it frees up analyst capacity: routine “where are users dropping off?” questions no longer consume specialist time, and that time can go to deeper work. Second, and more valuable, it lowers the cost of asking. When a follow-up question takes minutes instead of a formal request, more questions get asked, and decisions end up grounded in data rather than in whoever argued most confidently. Things that were previously dropped because they weren’t worth the overhead now simply get answered.
It also gives teams a shared source of truth for the numbers, so discussions start from the same figures instead of first having to reconcile competing spreadsheets.
The business benefit is twofold. First, it frees up analyst capacity: routine “where are users dropping off?” questions no longer consume specialist time, and that time can go to deeper work. Second, and more valuable, it lowers the cost of asking. When a follow-up question takes minutes instead of a formal request, more questions get asked, and decisions end up grounded in data rather than in whoever argued most confidently. Things that were previously dropped because they weren’t worth the overhead now simply get answered.
It also gives teams a shared source of truth for the numbers, so discussions start from the same figures instead of first having to reconcile competing spreadsheets.
Pasante C.
Intuitive and Feature-Rich, But Occasionally Slow
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
I like how easy Amplitude Analytics is to understand and use. I appreciate how it makes tracking events and app errors much easier, and it helps us understand app usage better. I also find it easy to build dashboards, which is really helpful, and I like being able to ask agents for follow-ups and reports.
What do you dislike about the product?
Sometimes it's very slow, it won't load the page. Also, I don't know how to connect it to other tools, which is a bit frustrating.
What problems is the product solving and how is that benefiting you?
Amplitude Analytics simplifies tracking events and app errors, and helps us understand how and why the app is used.
Victor M.
Boosts Collaboration with Seamless Event-Code Sync
Reviewed on Aug 10, 2026
Review provided by G2
What do you like best about the product?
I really like how Amplitude Analytics keeps the event specs and code in sync, making it simpler to work with the Analytics Team. It makes sure no information is missed when an analyst creates an event, as all necessary details are automatically synced into the codebase. This effectively bridges the gap between analysts and software engineers, eliminating the need for manual synchronization of event specifications.
What do you dislike about the product?
The dashboard is quite confusing to navigate, making it hard to find where events are shown and how to configure experiments. It would help to have separate views for different users, such as one for those who consume data and another for those who create events. Also, remembering to access the EU instead of the US website can be problematic, as the login flow does not redirect to the correct instance. I often find it difficult to navigate to the correct tab, especially since developer-related information lives under 'Data,' which is relatively hidden in the menu. Renaming the 'Data' tab and adding more links to it from different parts of the dashboard could be very helpful.
What problems is the product solving and how is that benefiting you?
Amplitude Analytics helps us understand user interactions, streamline communication between Analytics and Tech, and sync event specs directly into code, eliminating manual tracking.
Anonymous
High-Quality Data, Intuitive Yet Demands Learning
Reviewed on Aug 09, 2026
Review provided by G2
What do you like best about the product?
I appreciate that Amplitude Analytics allows non-technical people to see and review product analytics. I love that the data is kept in very high quality, and I never found an issue with the data Amplitude presents me. I also like how intuitive the platform is, making everything very easy to use and understand. The initial setup was very easy.
What do you dislike about the product?
I find the UX sometimes not intuitive enough and it requires learning, especially for new users. The platform is very robust, and the simple happy flow is not always clear enough for more novice users.
What problems is the product solving and how is that benefiting you?
I find Amplitude Analytics allows non-technical people to see and review product analytics easily. It supports my growth analysis, retention, and usage pattern evaluations with its high-quality data and intuitive interface.
Consumer Services
Fast, Intuitive Funnels and Segmentation—No SQL Needed
Reviewed on Aug 06, 2026
Review provided by G2
What do you like best about the product?
Honestly, Amplitude has become the tool I open before anything else in the morning. Building charts is fast and intuitive — you can go from "I wonder why checkout drop-off spiked" to a segmented funnel with cohort filters in under five minutes, no SQL needed. The event segmentation and funnel views are super flexible, and once you get the hang of the property filters, you can slice data in ways that would take hours in a BI tool.
Session replays are a nice bonus too — being able to jump from a funnel drop-off directly into real user recordings to see what actually happened is genuinely useful and saves a lot of back-and-forth with the team.
On the integration side, the MCP connector has been a game changer for us. We can pull Amplitude data into our broader analytics workflows programmatically, which means less manual exporting and more time actually acting on insights.
Session replays are a nice bonus too — being able to jump from a funnel drop-off directly into real user recordings to see what actually happened is genuinely useful and saves a lot of back-and-forth with the team.
On the integration side, the MCP connector has been a game changer for us. We can pull Amplitude data into our broader analytics workflows programmatically, which means less manual exporting and more time actually acting on insights.
What do you dislike about the product?
The API has some real limitations that catch you off guard. There's a hard cap on how many series you can query at once, which means for larger analyses you end up exporting CSVs manually from the UI — not a dealbreaker, but a bit clunky. Some of the more advanced filter behaviors (especially around multi-value properties) aren't well documented, so there's a lot of trial and error if you're doing anything non-standard.
Onboarding is also trickier than it looks. The UI feels approachable but there's a lot of depth hidden underneath, and new team members often underuse it for the first few months without dedicated enablement.
Onboarding is also trickier than it looks. The UI feels approachable but there's a lot of depth hidden underneath, and new team members often underuse it for the first few months without dedicated enablement.
What problems is the product solving and how is that benefiting you?
The biggest thing Amplitude solves for us is getting rid of the "I think users do X" problem. Before having a proper analytics setup, a lot of product decisions were based on gut feel or one-off data pulls from engineering. Now we can answer most funnel and behavior questions ourselves, in real time, without filing a data request.
it's helped us in a few key areas:
1. We can pinpoint exactly where users are falling out of a checkout or signup flow, and more importantly, segment that drop-off by platform, user cohort, or event property to figure out why. That's gone from a days-long investigation to a 10-minute chart.
2. Tracking trial-to-paid conversion, understanding what behaviors predict a purchase, and measuring the impact of pricing or UX changes has become way more structured. We've run analyses that directly shaped how we think about our subscription products.
3. Knowing whether a new feature actually gets used — and by whom — used to be guesswork. Now we instrument the feature on launch and have retention and engagement data within days.
4. Dashboards are shareable, so product, marketing, and engineering can all look at the same numbers. Fewer "which version of the data is right" conversations.
it's helped us in a few key areas:
1. We can pinpoint exactly where users are falling out of a checkout or signup flow, and more importantly, segment that drop-off by platform, user cohort, or event property to figure out why. That's gone from a days-long investigation to a 10-minute chart.
2. Tracking trial-to-paid conversion, understanding what behaviors predict a purchase, and measuring the impact of pricing or UX changes has become way more structured. We've run analyses that directly shaped how we think about our subscription products.
3. Knowing whether a new feature actually gets used — and by whom — used to be guesswork. Now we instrument the feature on launch and have retention and engagement data within days.
4. Dashboards are shareable, so product, marketing, and engineering can all look at the same numbers. Fewer "which version of the data is right" conversations.