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Amplitude Analytics Reviews: 4.5/5 — Highly Rated
Amplitude is an analytics tool designed to support businesses by helping them understand user behavior and giving them key insights that can help them improve their products. It offers tools such as behavior tracking, funnel analysis, as well as A/B testing that combines to help companies make data-driven decisions that optimize products and drive business growth.
| Capabilities |
AI
API
|
|---|---|
| Segment |
Small Business
Mid Market
Enterprise
|
| Deployment | Cloud / SaaS / Web-Based, Mobile Android, Mobile iPad, Mobile iPhone |
| Training | Documentation |
| Languages | English |
Compare Amplitude Analytics with other popular tools in the same category.
How we see user events update live. It saves us a lot of time to check and correct if something is wrong
The worst about Amplitude is something small: sometimes all available event types are not displayed when we start typing
Gathering my users behavior real time and creating cohorts based on that behavior
Amplitude is easy to use out of the box, accessible for professionals without a background in databases or data science, and licensed in a manner that makes it easy to leverage those strengths in democratizing access to data insights across an entire company at no additional cost.
The tradeoff of Amplitude's user-friendly GUI is that generating and visualizing more nuanced charts may sometimes require exporting data or directly querying the underlying Snowflake database.
Amplitude simplifies and streamlines the ramp-up and cycle of leveraging data to grow and refine digital products and businesses. In partnership with Snowflake, Amplitude has situated itself as the nexus of our instrumentation and insights. Creating a chart from nothing in the core product is typically faster than doing so directly in SQL or within competing platforms and does not require deep data science knowledge. With addons like Experiment, which facilitates nimbly creating and evaluating controlled multivariant tests, companies can level-up the way they leverage data without needing a deep team of data scientists.
I am using Amplitude to predict some engineering initiatives
I would like to apply filters more easily
When building a feature/new product, we are using amplitude dashs to analyse the engineering impact on business. It is working pretty well here
I enjoy being able to see which screen a customer visited and its parameters. It helps a lot in solving weird situations in production. Also being able to create dashboards with the same data is amazing.
Its hard to search for specific events on the user lookup screen flow. I wanted to see how many customers saw an error or filter for specific situations, but is hard to find and to use.
The biggest problem amplitude analytics solve is giving a clear view of our customer base, how they are using our app and debug tricky errors in production after certain customer complaints
The tools to improve the dashboard views.
I don't see anything I disliked, it is a good tool!
To solve some problems in my application and identify the errors by customers, versions, and platforms.
Setting up charts to monitor your product analytics is pretty straightforward Amplitude also helps change your org/teams culture to a data-driven one The variety of charts and templates really helps Amplitude stand out from others
Setting Amplitude up does require an investment. You have to build out an event taxonomy and then implement it using engineering resources It also seems a bit complicated for new users who are wary of getting their hands dirty initially
Amplitude makes it super easy to drill down into product analytics and then also tell a story using these visualizations. It's straightforward to share the insights allowing us to do customer discovery, product improvements and get exective buy-in.
I like a lot how easy you can view the most relevant metrics and how fast the tool works, you can have millions of data and it's still fast, also the notebooks and dashboards make really easy to tell a story
Sometimes is not that customizable, at some charts you'll need some expertise to create what you want and some other time you just wont be able to create what you want
Real-time analytics, in my company, is a crucial part and whit this tool, almost everybody can do it, easing the data governance problems that always rise in this situations
Amplitude Analytics provides several core visualization capabilities that address product-specific questions particularly well. The segmentation and funnel charts are incredibly powerful on their own, but the retention, pathfinder and engagement matrix charts allow me to do in minutes what might take hours outside of Amplitude. The entire suite of charts, with all of the customization and fine tuning capabilities allow you to investigate not just if people are engaging and converting, but how users discover features, and whether or not they're staying.
Like any analytics tool, it has a learning curve. As much as I'd like PM's and other stakeholders to be able to dive in immediately and start exploring the data, there is some training and handholding required. Fortunately, the Amplitude help docs are really well fleshed out. Amplitude also has room to incorporate some more design features that might help make dashboards more legible (colors, borders, label options)
Amplitude Analytics allows us to quickly explore our product data, and answer questions about user behavior, conversion rates and feature engagement in our app.
Easy to use for all cross-functional team members. Provide a range of tools to segment the data. One of my favorite is the ability to easily segment by cohorts and create fast views into our data based on our kpis.
Nothing at this point. Amplitude has been a great tool for us, we have started with them in 2019 so we are still digging deep on all the features and abilities, we have not encountered any blockers with the tool so far.
We wanted to a powerful analytics tool to help us get quick insights about our customers and track the health of our funnel.
What I love most is the fact that I can create cohorts on a significantly deeper level for analysis. It helps in understanding the power users and churned users on a much deeper level.
There's no downside to using amplitude. The only dislike is on the limit of number of events that one can have. Higher volume of events increases costs so pricing could be better.
Helping us analyse what we could do to improve our retention metrics and have a deeper analysis of different cohorts of users and what impacts them. Also, the variety in terms of charts and cohort level analysis is helping us significantly.