
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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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Amplitude Growth | Amplitude Growth Package with up to 50 Million Events Included | $80,000.00 |
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 |
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Customer reviews
Fast Insights and Seamless Onboarding
Analytics dashboards have transformed how our teams monitor user journeys, detect issues quickly, and support data‑driven development across the organization
What is our primary use case?
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 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 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?
What other advice do I have?
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?
Data-driven behavioral insights have transformed how I predict retention and optimize customer journeys
What is our primary use case?
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?
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 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?
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
How are customer service and support?
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
What was our ROI?
What's my experience with pricing, setup cost, and licensing?
Which other solutions did I evaluate?
What other advice do I have?
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.
Solid tool for tracking what matters
Empowers teams to build visualization-rich reports and make faster decisions using historical user behavior data
What is our primary use case?
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?
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?
For how long have I used the solution?
What do I think about the stability of the solution?
What other advice do I have?
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 AWSÂ data sources, and a better focus on error logs, would make it a ten for me.