Faced challenges in visualization flexibility but have consistently delivered key insights through fast data access and feature tracking
What is our primary use case?
My main use case for Amplitude is serving as the analytics lead, creating dashboards on Amplitude, exporting data from Amplitude to Snowflake for different analytics questions, measuring the performance of our game, and supporting user acquisition. There are multiple sources and destinations, and I need to connect everything with Amplitude to obtain all sorts of analytical solutions from our game.
A quick, specific example of how I use Amplitude to solve an analytics question occurs when the product team CEO asks about the performance of one of our features, such as our daily task feature in the game. I quickly create a simple chart based on the percentage of daily active users engaged with the daily task feature or even a more complicated chart showing the percentage of eligible daily active users or how many daily active users are completing all three challenges. In this way, I can answer simple and quick analytical questions without coding.
I find the process of creating these charts and reports in Amplitude to be easy to use, and I can create a variety of charts and reports. However, for some use cases, I cannot create the exact charts according to the requirement, so I use SQL through Amplitude data because we migrated and downloaded Amplitude data to Snowflake, where I use SQL. For most use cases, if I can find simple answers from Amplitude, I don't require SQL or any other resources, so it is quite useful and fast.
Amplitude is very useful for getting something really quick, as product managers and CEOs want fast answers to their questions and fast analysis. Amplitude is really useful for quick and fast answers, and we have created multiple dashboards for all our products, allowing us to create numerous charts. I think it is really useful.
What is most valuable?
The best features Amplitude offers include everything, and the variety of charts they can create, as well as Amplitude data where I can combine all my sources and destinations, are key features. Even if we don't use them much due to our plan or tier that Amplitude provides, I still feel that is useful.
The most valuable chart types and integrations for my analysis include main segmentation, which is really useful for most of my work since we want to get the game performance based on the percentage of daily active users doing this or that. The second chart type would be the funnel for checking how any feature in our game works. There is always use for retention charts to understand how retention flow works for our game, as well as user sessions to check user session engagement. For complex calculations, I also create some data tables. These are the charts we use. For destinations, we use Snowflake as a destination when we download all the data from Amplitude to Snowflake, where we ingest event and user data from Unity, allowing us to obtain media sources and campaign information easily from Unity to Amplitude.
Amplitude has positively impacted our organization by helping with all our product performance and has been an integral part of our product team on our product journey. We are collecting data based on Amplitude and using Amplitude data format to send to Snowflake, and for quick calculations, we also use Amplitude, so all data-related tasks are dependent on Amplitude.
Specific outcomes that show how Amplitude has helped my team or business include time savings for us in understanding the overall performance of the game. Based on Amplitude charts and outcomes, our product team takes decisions, so it has improved decision-making. We also analyze engagement of different features in our game, and based on Amplitude charts, we have made product decisions that have helped increase engagement.
What needs improvement?
Amplitude is almost perfect, but there are some charts I cannot create due to the large data structure. For those, I need to use Excel or SQL sometimes. It would be great if we could have various types of graphs available, but overall, it is a perfect product.
Regarding needed improvements, speed is fine and integration is fine. Support could be improved. Sometimes I need to create a ticket and communicate with one of their advisors via email. Providing live chat support would be more helpful.
For how long have I used the solution?
I have been using Amplitude for more than three years.
What do I think about the scalability of the solution?
Amplitude's scalability has handled our growing data and user needs well until now, and I am hopeful it will continue to do so in the future.
How are customer service and support?
I would say customer support is adequate. It is neither too good nor too bad. I think there could be live chat support for different types of charges or solutions that would be more helpful, but the current support is fine. It is not too bad and certainly not perfect.
How would you rate customer service and support?
What other advice do I have?
The experiment feature and more advanced features, such as some AI tools available in the market with Amplitude, are things I am interested in learning.
My advice for others looking into using Amplitude is to appreciate its speed of execution. It can generate quick charts and solutions for all your product needs. Its integrations work seamlessly with multiple software, including Unity and various others that we have, and it is relatively affordable compared to other products in the market, so it is perfect.
Amplitude is a perfect product that will always fulfill all the data-related needs that your company has, and I would suggest anyone to go for it. I rate the overall solution as a 9 out of 10.
Effortless Metrics and Outstanding Usability
What do you like best about the product?
Metrics are easy to create, and the usability is excellent.
What do you dislike about the product?
When I visit the help center for guidance, the Amplitude shown in the screenshots and videos looks quite different from the current version, which makes it difficult to follow.
What problems is the product solving and how is that benefiting you?
Amplitude helps us track user behavior and serves as an OKR indicator as well.
Accurate Tracking for Web and App—Highly Recommended
What do you like best about the product?
Gives more accurate tracking results for web and app both.
What do you dislike about the product?
The visualization graphics could be improved by adding more options when viewing tracking data.
What problems is the product solving and how is that benefiting you?
It attributes sales and other events to the correct sources, which increases the efficiency of those sources. This helps us decide where we should focus our efforts for growth.
Quick Insights, But Costly for Startups
What do you like best about the product?
I love how Amplitude Analytics provides quick insights into user behavior, allowing me to answer a lot of questions literally in minutes without requiring any technical background. The quick request processing is extremely valuable, as it enables me to rely on data while making most decisions without spending extensive time making requests to a database or building dashboards in platforms like Tableau. The simplicity of its initial setup adds to its appeal, and these features collectively contribute to a seamless experience. I find the tool's efficiency and user-friendly nature exceptionally beneficial for making informed choices rapidly.
What do you dislike about the product?
It's quite expensive, which can make it difficult to justify the purchase to management, especially if you're in a startup with negative cash flow.
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics for quick insights into user behavior, enabling me to make data-driven decisions without any complex setup or spending hours on dashboards creation
Powerful analytics platform with room for improvement in access management and AI-driven insights
What do you like best about the product?
What I like best about Amplitude Analytics is how intuitive and powerful the platform is. It allows teams to easily understand user behavior, measure product performance, and make data-driven decisions without needing deep technical knowledge. The visualization and segmentation features make insights immediately actionable.
What do you dislike about the product?
The learning curve can be a bit steep at first, especially for people who are new to product analytics.
The roles and permissions for administration are somewhat limited; there should be better management and flexibility in access controls and user permissions.
need ai analitycs some
What problems is the product solving and how is that benefiting you?
Amplitude Analytics helps us understand user behavior within our mobile app — how users navigate, where they drop off, and which features drive engagement. This visibility allows us to improve user experience, prioritize product updates, and increase retention through data-driven decisions.
Effortless Insights and Empowered Teams with Amplitude Analytics
What do you like best about the product?
What I like best about Amplitude Analytics is how effortlessly it turns complex behavioral data into clear, actionable insights. Its event-based structure and intuitive visualizations make exploration simple — from identifying user drop-offs to validating experiments in real time. It empowers teams to self-serve insights, reducing dependency on analysts and creating a shared understanding of what drives product growth.
What do you dislike about the product?
Advanced queries sometimes need external tools like BigQuery for deeper analysis. That said, these are more growing pains of scale than limitations — the core platform remains intuitive and highly impactful.
What problems is the product solving and how is that benefiting you?
Amplitude helps solve the challenge of fragmented insights by bringing all behavioral data into one place. It makes it easier to understand user journeys, measure experiment outcomes, and align teams on shared metrics. For me, it’s reduced time spent on manual analysis and enabled faster, more confident decision-making — ultimately improving how we learn, iterate, and build better product experiences.
Insightful Analytics, But UI Feels Cluttered
What do you like best about the product?
It is very easy to quickly understand how a feature we have is performing and dig deep into why.
What do you dislike about the product?
It is adding too many things that give little value and cluttering the UI and product offering.
What problems is the product solving and how is that benefiting you?
Understanding what our users are doing with our product. Without this, we would be unaware of how the features that we have are being used.
Turn data into direction: My early experience
What do you like best about the product?
Turning raw event data into meaningful stories is what sets this tool apart for me. It's not just about numbers on a dashboard—the visualizations really help me link product behavior to actual user intent. The customer support has also been outstanding; the experts have guided me through understanding our events within my company and which improvements I can make, making it much easier to interpret the data and achieve the outcomes I’m aiming for.
What do you dislike about the product?
While Amplitude is undoubtedly a powerful analytics tool, the extensive range of its features can feel somewhat overwhelming initially, especially as a new user. There is a definite learning curve when it comes to understanding how events and properties should be structured to achieve the most accurate insights, particularly if our data hasn't been perfectly instrumented from the start. However, I believe that with time and the help of their support team, the experience will become much smoother.
What problems is the product solving and how is that benefiting you?
The data is presented in a layout that is easy to monitor and understand, making it highly accessible.
Effortless Setup with Powerful Tracking
What do you like best about the product?
I have been using Amplitude Analytics for about two to three months and find it invaluable for tracking performance and user usage across organizations. One of the standout features is its superior integration capabilities compared to other platforms, particularly for grouping events by organization rather than individual users. I appreciate how straightforward the setup process is, even with our use of Python for the backend and React for the frontend; it is very user-friendly. The easy setup of charts and dashboards is particularly beneficial, allowing us to efficiently track everything we need. Additionally, the pricing plans are well-suited for a startup like ours. The ability to group users by organizational identifiers as opposed to individual user IDs is an important benefit for our use case. Overall, the ease of setup and customization in dashboards and charts greatly enhances our productivity.
What do you dislike about the product?
Initially, I found it difficult to "find" our events to analyze them and get started. Live events are already there but it's hard to find similar view for older events without building your own charts for example.
What problems is the product solving and how is that benefiting you?
I use Amplitude Analytics to track user performance, measure time for requests, and manage AI platform interchanges. It simplifies setting up dashboards and grouping by organization, enhancing integration and ease of use.
Powerful Insights and Flexibility
What do you like best about the product?
Amplitude makes it easy to move from “what happened” to “why it happened.” Funnels, cohorts, retention, and pathing come together so you can test hypotheses about features, pricing, and packaging with real user behavior. The ability to define clear taxonomies, build reusable charts/dashboards, and segment by plan, geography, or lifecycle stage helps us find the “golden nuggets” that actually drive activation, conversion, and expansion—without waiting on ad-hoc SQL.
What do you dislike about the product?
Two areas could be stronger:
Governance & complexity: As the event schema grows, enforcing naming standards and avoiding duplicate events/properties takes discipline. Better guardrails and bulk management would help.
Advanced filtering ergonomics: Building precise segments that combine multiple events, user properties, and time windows is powerful but can feel fiddly; more guided templates and validations would reduce iteration time for non-analysts.
What problems is the product solving and how is that benefiting you?
Onboarding & activation: Funnels and retention analyses pinpoint where users stall before the “aha” moment, informing copy, UX, and nudges that lift activation rates.
Feature impact & monetization: Cohorts and pathing reveal which behaviors correlate with conversion and paid retention, guiding roadmap priorities, pricing/packaging, and PQL scoring.
Experiment & iteration velocity: Shared dashboards and drill-downs align Product, Marketing, and Sales on a single source of truth, shortening the time from question → insight → change.
