Amplitude Digital Analytics Platform
Amplitude AnalyticsExternal reviews
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It works really well for certain use cases.
What do you like best about the product?
You get countless breakdowns out of the box, and Amplitude saves you tons of time on creating metrics for you.
What do you dislike about the product?
There's a pretty high upfront cost to integrate your data, especially if you have several different apps sending events and you have custom metrics you care about.
What problems is the product solving and how is that benefiting you?
User journeys/flows are much easier in Amplitude than any other tool.
Amplitude have fulfilled most of our product analytics dreams
What do you like best about the product?
The fact that simple product questions can be promptly answered by product managers and executives, without being dependent on the data engineering and BI team.
It frees up the analytics team to focus on depth analysis questions and motivates the product managers to have more intimacy with the data.
I also liked how easy it is to collaborate on reports and to create a knowledge center per feature or team.
It frees up the analytics team to focus on depth analysis questions and motivates the product managers to have more intimacy with the data.
I also liked how easy it is to collaborate on reports and to create a knowledge center per feature or team.
What do you dislike about the product?
It took us a while to wrap our heads as to the difference between events to user properties. The fact that user properties aren't time-series-based makes it difficult whenever we would like to backfill the data for potential data discrepancies.
What problems is the product solving and how is that benefiting you?
It frees up the analytics team to focus on depth analysis questions and motivates the product managers to have more intimacy with the data.
Product teams are moving faster with feature launches and hypothesizing around user experience changes.
Product teams are moving faster with feature launches and hypothesizing around user experience changes.
Recommendations to others considering the product:
I would recommend spending the time and building an event data modeling strategy, if the events naming conventions or fields aren't properly throughout through it could become pretty frustrating.
Build a data governance group to help make decisions and think about the big picture and not just let dev teams randomly deploy events that make sense only to their questions.
Build a data governance group to help make decisions and think about the big picture and not just let dev teams randomly deploy events that make sense only to their questions.
Study and analysis on the life cycle of our clients
What do you like best about the product?
Based on its interface, the set of tools are sufficiently developed to perform quite complete functions, it contributes to the analysis and constant study of the behavior of our clients at the precise moment they visit our page. It has extensive features that allow us to work accurately, we evaluate the retention of the product, it provides us with advanced segmentation, it's incredible how in the reports it is possible to see completely the routes of users with detailed graphics. The funnel analysis, together with the segmentation as well as the correlation and participation matrix, makes us be much more precise in what we do, not leave out any detail and always focus on the objectivity of what our clients really want.
What do you dislike about the product?
The prices are not the most appropiate, they could be adjusted a little better so that it is more accessible to small companies, however, apart from this I don't find anything else that displeases me.
What problems is the product solving and how is that benefiting you?
The benefits have been multiple, ranging from a greater adaptibility of the platform to our work system, with which we have been able to develop a much a more fluid work, as well as the reduction of our invested work time. On the other hand, we have optimized the management of analysis on the behavior of our clients, which is the first thing they observe, what most catches their attention, where they enter, what route they take and also what they are not seeing, what that perhaps is being overlooked. Knowing all this contributes day by day to finding solutions to problems that we may not be seeing and Amplitude Analytics has helped us with this problem.
Recommendations to others considering the product:
Amplitude Analytics is great tool, join and discover that in addition to just doing analysis it could help you much more than that.
Excellent analytics product to really understand your users
What do you like best about the product?
Amplitude has the ability to easily track and understand real time traffic for your product as well as more retrospective analyses of usage. What helped immensely was the process through which we could effectively divide up the users and track them throughout their user lifecycle. This allowed us to track retention and engagement metrics much more easily and also make cohort analysis a seamless part of the analytics infra. Many of the types of metrics and frameworks from Reforge are built into Amplitude as well!
What do you dislike about the product?
Amplitude can feel a bit clunky at times. The way to filter events is not as intuitive as with mixpanel to bifurcate and analyze.
What problems is the product solving and how is that benefiting you?
DAU/MAU
User Segmentation
Retention and Engagement
Product engagement by power/casual users
User Segmentation
Retention and Engagement
Product engagement by power/casual users
Recommendations to others considering the product:
Would definitely recommend to get a baseline understanding of your product's users and then optimize with experiments that you can easily track with Amplitude.
Good graphs
What do you like best about the product?
The graphs are easy to view and understand, fast rendering
What do you dislike about the product?
Don't see a way to add tooltips/descriptions for the some the metrics, sometimes it can be hard to remember the meaning of them
What problems is the product solving and how is that benefiting you?
Understand how our user uses our product
amplitude analytics for e-commerce site/app
What do you like best about the product?
Amplitude's funnel analysis is useful for seeing where users are dropping off in the purchase funnel. The user level analytics are helpful for getting percentage breakdowns of users (for example, how many users are using each type of operating system). It's also helpful to make sure events used for AB testing are firing in the correct place and that cohorts are being bucketed correctly.
What do you dislike about the product?
I wish that any events/properties that are custom adds required the adder to include a description of what the event/property is, so its able to be used by the whole company without one person serving as a bottleneck for what the definition is.
What problems is the product solving and how is that benefiting you?
It helps me analyze user behavior and traits across web and app to inform discovery work on pain points and hypotheses and it helps me analyze whether AB tests are set up as intended.
Great everyday product analytics tool
What do you like best about the product?
1. Quick and easy to create charts and dashboards and share them with your colleagues.
2. UI is very intuitive and aesthetic.
3. Tech Support has always been very fast and professional from the amplitude team.
4. I really like the event segmentation feature. It gives us ability to track the everyday data volume very efficiently.
5.Real-time data analysis.
6. Lots of data integration options available.
2. UI is very intuitive and aesthetic.
3. Tech Support has always been very fast and professional from the amplitude team.
4. I really like the event segmentation feature. It gives us ability to track the everyday data volume very efficiently.
5.Real-time data analysis.
6. Lots of data integration options available.
What do you dislike about the product?
1. There is a learning curve for anyone to use it effectively.
2. You need a dedicated person/people to monitor the charts and dashboards everyday to make sure the they are up to date.
3. Documentations lacks detailed examples.
4. There's always a delay between the events published by source (Segment) and event information to appear on the amplitude charts.
2. You need a dedicated person/people to monitor the charts and dashboards everyday to make sure the they are up to date.
3. Documentations lacks detailed examples.
4. There's always a delay between the events published by source (Segment) and event information to appear on the amplitude charts.
What problems is the product solving and how is that benefiting you?
We use amplitude's event segmentation to keep track of the everyday product volume coming through the automation pipeline and create insights by building charts and dashboards. We then use these charts to debug the issues in the pipeline and create reports.
Great Product Analytics tool
What do you like best about the product?
- Amplitude CSM Team availability and support
- Instrumentation and Taxonomy enforcement
- Instrumentation and Taxonomy enforcement
What do you dislike about the product?
- Data Ingestion is a bit tricky if not using Amplitude's API
What problems is the product solving and how is that benefiting you?
- Workflow Analysis
- Funnel Analysis
- Events Segmentation
Amplitude helps us proactively improving our products and finding answers to our problems
- Funnel Analysis
- Events Segmentation
Amplitude helps us proactively improving our products and finding answers to our problems
Crisp Analytics Platform for Product Metrics!
What do you like best about the product?
- Very easy to use for non technical/non data professionals
- Real Time Monitoring of Product Metrics
- Excellent Platform to measure the results of AB Tests
- Good for quick exploratory analytics before performing deep dives using Python/ML
- Real Time Monitoring of Product Metrics
- Excellent Platform to measure the results of AB Tests
- Good for quick exploratory analytics before performing deep dives using Python/ML
What do you dislike about the product?
- Rigidity in terms of moving data upstream and downstream (dependence on external vendors)
- Rigidity in visualization and editing cosmetics of visualization
- Not enough flexibility to create new metrics, beyond the default functions
- Rigidity in visualization and editing cosmetics of visualization
- Not enough flexibility to create new metrics, beyond the default functions
What problems is the product solving and how is that benefiting you?
I have quickened the process of evaluating the results of AB Tests - Amplitude not only lets me measure the primary metrics, but also lets me do a deeper dive into secondary and territory metrics around customer LTV, customer long term retention etc.
I have also been able to run cross platform/geography/cohort comparisons for users belonging to different stages of the product lifecycle - quickly and easily.
I have also been able to run cross platform/geography/cohort comparisons for users belonging to different stages of the product lifecycle - quickly and easily.
Quick insights but heavy ramp period
What do you like best about the product?
Being able to quickly create a chart and duplicate existing charts, it makes it easy to get insights really quick for feature releases as well as ongoing monitoring. I also like the breadth of charts offered, there's no shortage of interesting ways to look at user data.
What do you dislike about the product?
There's definitely a heavy ramp period, sometimes it's frustrating making decisions on data you don't feel very confident about. I also haven't really been able to isolate organic traffic using amplitude and have to use other platforms.
What problems is the product solving and how is that benefiting you?
We use amplitude to monitor feature performance, understand prioritization and understand engagement with what features lead to higher retention.
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