Amplitude Analytics Bewertungen und Produktdetails

I like amplitudes ability get get deep into the data, explorer customer behaviours at the microscopic level

The unclear limitations of the cross-project function such as the lack of drop filters

The funnel tool is great for exploring areas of improvement across a users journey through a conversion flow

Templates cut down on the work to spin up a dashboard tremendously. Generally speaking, I like how quick and easy most operations are.

There are limits to bulk operations, which means I have to create new templates all the time for one small difference. For instance, I wish I could add a new segment to all charts in a dashboard at once. Or conversely, delete a segment from all charts at once.

Spinning up easy dashboards to monitor AB test results, site performance, conversion rates etc.

It's safe time (compared to manual SQL scripts), propose great templates (retention graph, stickness, segmentation, etc) and it's easy to investigate different cohorts with user paths & funnels.

Probably some restrictions :) event limits, no alerts in the subscription, limitations in dashboards personalization, etc :)

To get data fast, to investigate users/flows without analyst, to see that changes (new app version) in the product improved KPIs, monitor KPIs

Amplitude is very well precise to analyse the user journey and to have insights about behavior.

Mobile version is not easy to use. A more fluid app would be better.

We are understanding user needs, user consumption of our platforms with precise feedback. These inputs are key to know if we are developing in the right way or if we need to adjust.

I like that you can group events in a category eg Onboarding, Checkout etc. It can easily get around any ambiguity of event names (no matter how hard you try there always ends up some poorly named events).

The default 'loaded a page' event when you turn on page views is really annoying when trying to map a journey as you can't break it down to the actual page very easily which means you need to put your own events in for page views to map out user flow/journey.

User behaviours our our website and apps. We have identified poorly performing funnels and been able to understand segments of customers better. This will help us track performance better

Flexible chart options, user-friendly UI

You really get out of it what you put into it, so if you're willing to put in the work you can get a ton of value

As a product org, we want to track user behaviors to guide the problems we focus on

I love being able to edit and filter by exactly what I want to see and also cohort my data be the exact users I want to view results for

Can get a little complicated with literally thousands of different things you can do. Can be overwhelming at first.

We are using Amplitude to visualize all of our Customer Data, to understand what our customers are doing and where their pain points are

I like best the ability to quickly setup charts to read through the data

I dislike the lack of the a more custom mode

Tracking metrics, A/B tests data

I like the easy integration with segment (and other similar tools) and also the out of box dashboard creation features that we get.

Nothing major that I can think of, just that some of the out-of-box metrics names were not outrightly clear to me, maybe the names could be more generic/ explanatory.

We are using Amplitude for analytics and dashboard creation and it has served the purpose nicely till now , we are able to see and analyze usage data.

Really good to process large volumes of data in understandable and easy to action insights.

The black-box-ness of it sometimes can leave you scratching your head and unsure if your analysis is correct - but that's data analysis life innit.

Mostly getting quick insights. We can parse our data and find what we need but that takes time. With Amplitude I can quickly go in and get and idea of something, or perform more involved analysis if I wish.

Ease creating charts, creating cohorts, on the fly ability to save, drilling down or tracing events in charts, design of charts

No ability to customize a table with aggregation or make a more presentable tabular view

Building process funnels out of milestones, comparing cohorts, tracking consumption

I like how easy it is to make queries based on natural language. I rarely have a hard time figuring out how to do what I am trying to do. It's also easy to share analysis with my teammates.

The main thing that causes issues for my team is that we'll launch a feature and then be unable to build dashboards around them. Usually this is an issue from our setup with segment events, but it would be nice if there was some way we would see if the dashboards were going to work before the feature is actually live.

In general, we are trying to figure out different aspects of user behavior, like click-through rate on specific buttons, or conversion through larger, more complex flows.

Being able to track at the group level vs user level is critical for us. The integration and SDKs are straightforward and well documented. Most of the charts and analysis tools are also intuitive and easy to use.

I wish there were auto-generated cohorts based on a start event, like signup. Right now we have to manually create the cohorts, which is inefficient.

We are using Amplitude to track how our users are interacting with our product. It's been a great tool to help us improve our onboarding, retention and engagement.

powerful product analysis and sharing features

managing taxonomy could be better than now

Reducing resources for EDA. DA can focus on the problems to solve instead.

This is the best analytics platform I've used. It is really easy to upload data, really easy to create charts, and provides good AI to help us make better decisions

Sometimes the software will take a while to upload with the latest data, or the site will go down. But overall we really like the platform and do not have many bad things to say

We are trying to integrate all our data from various sources into one location, to provide executive level dashboards to help us make data driven decisions for our business

The biggest pain point Amplitude has relieved for us in Product Analytics is doing experiment readouts much more efficiently.

We still run into instrumentation issues that are more difficult to debug in Amplitude.

We are mostly using it for self-serve analytics, and have realized benefits in more efficient experimentation readouts, and ad-hoc data pulls.

Basic charts are executed well, and the Persona chart type is a real differentiator. Clustering can take significant time to execute with Python, so we're able to iterate much faster on behavioral profiling than we would relying entirely on our data warehouse. It's also really nice to have experimentation, analytics, and data governance all in one platform. This is actively allowing our product teams to build experiment velocity and iterate on analytics without feeling like mediocre instrumentations decisions made years ago are a blocker to getting good insights.

In certain regions, our teams occasionally have performance issues. The data governance tools are still rough around the edges, particularly if you want to provide a single internal source of truth for your event schema. However, they're very receptive to feedback from beta users, so I'm confident these issues are a priority and will be addressed.

We have hundreds of events, multiple surfaces, and comparatively few analysts. Amplitude provides a significant dollar value savings in time to quantitative insight for our product and design teams, leaving the capacity for our analysts to focus on deeper work.

I love how easy it is to put together a wide variety of visualizations and analyses on the fly. In addition, the interface is so simple that others, regardless of their background or experience, can learn how to use Amplitude and use it as a self-serve analytics tool.

The simplicity of Amplitude does make it unsuitable for more complex analyses, although more complex analyses of that nature should probably be queried directly from a company's databases.

We are learning how users are engaging with our product. We can learn what percentage of users are using our new feature or how well are users being retained. We also use the A/B testing features to quickly gain insight into how a new feature might be doing. It is also helpful for identifying any bugs or changes in performance that are out of the ordinary.

Hoe easy you can play and learn, without the feeling you can make mistakes

Easy way to include URL without ids and use these in your stats

Get user insights with numbers instead of gut feeling

The possibility to perform funnel analysis for users, which gives you a quick and understandable way of knowing how users are using your application, to do this with a SQL query becomes very hard

Their pricing is expensive, which makes us have only 20% of data on Amplitude to lower the bill. We found some bugs while performing the analysis (although they provided support later when I contacted them).

We are performing product analysis, mapping the user experience. We also analyze AB tests to decide how to evolve the product to make it more appealing and more fulfilling for users.