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I used Amplitude on a daily basis to understand performance of my Product and user experience.
What do you like best about the product?
Very easy to use and fast for analyzing data across multiple dimensions.
What do you dislike about the product?
Crashes sometimes, unable to back populate where there are data issues.
What problems is the product solving and how is that benefiting you?
Performance of my product and how users are affected.
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overall intuitive user interface
What do you like best about the product?
there are multiple ways to organize the data, so that you can tell the story you care about
What do you dislike about the product?
it's hard to find resources if I have a question about a specific area in the product
What problems is the product solving and how is that benefiting you?
event tracking, a/b test performance, helping me understand the user behavior
So easy to use!
What do you like best about the product?
How intuitive it is to set up different cohorts.
What do you dislike about the product?
The plotting capabilities are rudimentary.
What problems is the product solving and how is that benefiting you?
Doing cohort analysis to better segment our user base and understand how different groups use our product.
Recommendations to others considering the product:
Do it if you have an e-commerce site!
Easy to use, powerful tool provides fast answers to questions
What do you like best about the product?
The UI is simple and intuitive, and there's a chart type for every need. I can make simple graphs, or really dig in and uncover interesting insights. Amplitude lets me compile my analysis into a notebook or create a dashboard. It's easy to share my results with colleagues. Every change I make in a chart changes the URL, so it's super easy to copy/paste, collaborate and show others exactly what I'm doing. This has saved me countless hours.
Amplitude also provides a great governance system so I can easily validate and approve new events, add descriptions and categorizations. This really helps with organization, since we have over 1,000 event types to keep track of. They also provide automated monitoring so if an event stops coming in, it will alert me.
Amplitude also provides a great governance system so I can easily validate and approve new events, add descriptions and categorizations. This really helps with organization, since we have over 1,000 event types to keep track of. They also provide automated monitoring so if an event stops coming in, it will alert me.
What do you dislike about the product?
Each event needs to be custom coded in our product, which requires engineering effort. I like that this gives me control over what data I send to Amplitude (after all, with data it's very much junk in - junk out), however, it means my requests compete with other engineering requests.
It also took me some time to fully understand the best ways to structure and send the events. There are definitely good and bad ways to structure events that make it much easier/harder to make the graphs you want.
It also took me some time to fully understand the best ways to structure and send the events. There are definitely good and bad ways to structure events that make it much easier/harder to make the graphs you want.
What problems is the product solving and how is that benefiting you?
We use it to track product engagement metrics, inform design/UI changes, target marketing, and A/B testing. These help us make better product decisions.
Recommendations to others considering the product:
Give it a try! There is a test account you can use to play around with that is a fake music player app.
Amplitude has proved very useful to tracking and analyzing our product performance
What do you like best about the product?
I love the diverse range of data Amplitude captures, from event data to funnel analysis to retention analysis. Personally, I use event data most often, and I appreciate the different views that I can look at the data, from the time range of data to how the information is computed (uniques vs event totals, etc) to the how the data is aggregated (weekly vs daily, etc). Additionally, I love that I can manipulate the data within Amplitude by using the formula view and that further calculations can be done by exporting the data to Excel.
What do you dislike about the product?
I wish that I was able to remove outliers from the data in Amplitude. Although I can export sets of information to Excel and manually remove outliers, it would be more convenient if this could be done inside of Amplitude. This would allow for analysis - in terms of averages and ranges - that is more representative of our day-to-day data. Additionally, when I first began using Amplitude, it was difficult to understand how everything worked. Due to the massive amount of capabilities that Amplitude has, the interface can be overwhelming to a first-time user.
What problems is the product solving and how is that benefiting you?
Currently, we are releasing our product worldwide, over a three month period. As we move onto each stage of expansion, it is essential that we keep track of how our product is performing among customers to ensure that we can move onto the next stage. Specifically, we are looking at our send rate, customer feedback, click through rate, rate of disablement, and open rate, among other essential statistics. Amplitude makes it simple to view all this information in one place and see the trends, as well as immediately notice any irregularities that we should be aware of during expansion. Thus, Amplitude is essential for ensuring smooth and successful product release.
Recommendations to others considering the product:
Attend available trainings to learn more about Amplitude.
Great tool with endless alternatives to get valuable insights
What do you like best about the product?
The User interface is really clear and the different charts type cover a lot of what I want to analyse from data. + whwn limits od Amplitude are reached, the API works perfectly and usage of raw data is useful
What do you dislike about the product?
Can be a bit long sometimes to load the charts
What problems is the product solving and how is that benefiting you?
Helps me to answer all data-related questions + to find bugs sometimes
Recommendations to others considering the product:
Great Products, would recommend it
Best data visualization tool
What do you like best about the product?
As long as you have events/attributes instrumented correctly, you don't have to anticipate the analysis you will be doing. Amplitude allows you to shift and move things around as new ideas pop into your head. I used to think analytics was a very "data sciency" thing, but have realized through using amplitude that there is a large creative side to investigating user behavior.
What do you dislike about the product?
Schema can be difficult to maintain. Not really sure there is a way around this, but you definitely need to think through schema and naming or else events and attributes can become a complete mess pretty quickly.
What problems is the product solving and how is that benefiting you?
I use amplitude daily. Usually it's looking at end user behavioral trends and finding insights for building a product with better adoption.
Building a Data-driven Culture
What do you like best about the product?
Amplitude Analytics has informed the way we develop our products. As a data engineer, I appreciate all the advanced data management features, such as taxonomy, user access, and anomaly detection.
What do you dislike about the product?
I wish we could do batch taxonomy API calls.
What problems is the product solving and how is that benefiting you?
We track feature and product usage during launches, we analyze AB test results, and monitor load performance for components over time. It's given us the ability to tune and iterate features, backed by near-realtime data.
Very Flexible & Easy to use business analytics tool!
What do you like best about the product?
Charts and Dashboards are very useful to get insights into the complex data. They have custom formulas for data transformations.
What do you dislike about the product?
- There is a learning curve for non-technical users.
- User interface can be better
- Data integration can be tricky.
- User interface can be better
- Data integration can be tricky.
What problems is the product solving and how is that benefiting you?
We solve use behavior and product analysis based problems. The benefit of having all this data in one place is that we can make informed decisions user experience and revenue generation.
Great tool for data exploration
What do you like best about the product?
Amplitude is a great tool for anyone, regardless of analytics/SQL knowledge, to explore a business's data and answer easy-to-medium business questions very quickly. The event segmentation and funnel charts are quite intuitive and allow you to compare activity levels and custom conversion metrics among cohorts that you can define and create.
It is extremely easy to change the time frame of a chart, look at multiple metrics on the same chart, compare different user groups, look at groupings to quickly rank items, compare to a previous quarter/year/etc. In any chart, you can drill into a set of users - for example, you could create a cohort from a funnel chart to explore the group of users that did not perform a conversion activity. These different features are much faster than writing and running SQL queries, even for seasoned analysts.
It is surprisingly easy to share content and discover content using the search feature. We have a medium-sized organization, and even though we have several hundred charts/dashboards/notebooks, the search options and filters are sufficient to quickly find what you are looking for.
The data management tools make it easy for an organization's data owners to transform events and event properties to make them easier to understand and use.
Finally, Amplitude's integrations, specifically with Braze, make it so that we can easily track CRM engagement and build advanced conversion funnels that help us determine what messages are most effective.
It is extremely easy to change the time frame of a chart, look at multiple metrics on the same chart, compare different user groups, look at groupings to quickly rank items, compare to a previous quarter/year/etc. In any chart, you can drill into a set of users - for example, you could create a cohort from a funnel chart to explore the group of users that did not perform a conversion activity. These different features are much faster than writing and running SQL queries, even for seasoned analysts.
It is surprisingly easy to share content and discover content using the search feature. We have a medium-sized organization, and even though we have several hundred charts/dashboards/notebooks, the search options and filters are sufficient to quickly find what you are looking for.
The data management tools make it easy for an organization's data owners to transform events and event properties to make them easier to understand and use.
Finally, Amplitude's integrations, specifically with Braze, make it so that we can easily track CRM engagement and build advanced conversion funnels that help us determine what messages are most effective.
What do you dislike about the product?
Currently, Amplitude does not have the ability to perform state-based analytics. It also does not allow you to look at more than 3 years of data at a time. Most of the time, neither of these two limitations is an issue. However, for businesses that have data going back many years or who take in historical data, this requires rather complex and/or sophisticated workarounds.
Additionally, there are custom events that you can create using the data management tool, but you cannot create custom event properties that are derived from other event properties. This occasionally makes things difficult or infeasible in Amplitude and requires outside SQL work.
There are other smaller things, such as the way Amplitude computes averages in its event segmentation charts or the fact that you have to hold constant a property across all events in a funnel instead of just the events where that property is applicable.
Amplitude is not a perfect out-of-the-box solution. It requires a strong data owner to make sure that all of the necessary data is sent to Amplitude and that it is in a usable format. Non-analytics users will also need to spend some time familiarizing themselves with their organization's data and how it is structured. Even with the ability to rename and customize events, our organization has dozens of events and hundreds of event properties - not all of these are used very frequently, but the data learning curve is fairly steep, and it is necessary to get the most out of Amplitude.
Additionally, there are custom events that you can create using the data management tool, but you cannot create custom event properties that are derived from other event properties. This occasionally makes things difficult or infeasible in Amplitude and requires outside SQL work.
There are other smaller things, such as the way Amplitude computes averages in its event segmentation charts or the fact that you have to hold constant a property across all events in a funnel instead of just the events where that property is applicable.
Amplitude is not a perfect out-of-the-box solution. It requires a strong data owner to make sure that all of the necessary data is sent to Amplitude and that it is in a usable format. Non-analytics users will also need to spend some time familiarizing themselves with their organization's data and how it is structured. Even with the ability to rename and customize events, our organization has dozens of events and hundreds of event properties - not all of these are used very frequently, but the data learning curve is fairly steep, and it is necessary to get the most out of Amplitude.
What problems is the product solving and how is that benefiting you?
We use Amplitude to understand how our CRM messaging is working through its integration with Braze. We can compare cohorts of users who have opened/not opened an email, compare different email subject lines or message variations, etc. across any metric that we define. This is in contrast to a typical situation where conversion events would have to be explicitly defined and implemented prior to launching a campaign.
We also use Amplitude to build very specific and complex cohorts and compare them across a range of metrics. We can define dynamic cohorts using event data, or we can build static cohorts to look at a specific group of users and their behavior over time. This has made it so that we can easily identify our most valuable user cohorts and see how their behavior differs from less valuable cohorts.
We also use Amplitude to build very specific and complex cohorts and compare them across a range of metrics. We can define dynamic cohorts using event data, or we can build static cohorts to look at a specific group of users and their behavior over time. This has made it so that we can easily identify our most valuable user cohorts and see how their behavior differs from less valuable cohorts.
Recommendations to others considering the product:
Data owners need to be prepared to perform a lot of set-up work, both to set up and verify that data is flowing into Amplitude correctly and to use the data management tools to make the data easy to understand and use for the organization.
For the non-data people, they need to be prepared to learn their organization's data and how it is structured. They should also be prepared to do their own exploration and to try building their own charts rather than relying on an analytics team.
For the non-data people, they need to be prepared to learn their organization's data and how it is structured. They should also be prepared to do their own exploration and to try building their own charts rather than relying on an analytics team.
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