What is Amplitude?
Who uses Amplitude?
Why developers like Amplitude?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Amplitude in their tech stack.
We are using React Native in #SmartHome to share the business logic between Android and iOS team and approach users with a unique brand experience. The drawback is that we require lots of native Android SDK and Objective-C modules, so a good part of the invested time is there. The gain for a app that relies less on native communication, sensors and OS tools should be even higher.
We use a microservices structure on top of Zeit's @now that read from firebase. We use JWT auth to authenticate requests among services and from users, following GitHub philosophy of using the same infrastructure than its API consumers. Firebase is used mainly as a key-value store between services and as a backup database for users. We also use its authentication mechanisms.
You can be super locked-in if you also rely on it's analytics, but we use Amplitude for that, which offers us great insights. Intercom for communications with end-user and Mailjet for marketing.
Adopting Amplitude was one of the best decisions we've made. We didn't try any of the alternatives- the free tier was really generous so it was easy to justify trying it out (via Segment). We've had Google Analytics since inception, but just for logged out traffic. We knew we'd need some sort of #FunnelAnalysisAnalytics solution, so it came down to just a few solutions.
We had heard good things about Amplitude from friends and even had a consultant/advisor who was an Amplitude pro from using it as his company, so he kinda convinced us to splurge on the Enterprise tier for the behavioral cohorts alone. Writing the queries they provide via a few clicks in their UI would take days/weeks to craft in SQL. The behavioral cohorts allow us to create a lot of useful retention charts.
Another really useful feature is kinda minor but kinda not. When you change a saved chart, a new URL gets generated and is visible in your browser (chartURL/edit) and that URL is immediately available to share with your team. It may sound inconsequential, but in practice, it makes it really easy to share and iterate on graphs. Only complaint is that you have to explicitly tag other team members as owners of whatever chart you're creating for them to be able to edit it and save it. I can see why this is the case, but more often than not, the people I'm sharing the chart with are the ones I want to edit it 🤷🏾♂️
The Engagement Matrix feature is also really helpful (once you filter out the noisy events). Charts and dashboards are also great and make it easy for us to focus on the important metrics. We've been using Amplitude in production for about 6 months now. There's a bunch of other features we don't use regularly like Pathfinder, etc that I personally don't fully understand yet but I'm sure we'll start using them eventually.
Again, haven't tried any of the alternatives like Heap, Mixpanel, or Kissmetrics so can't speak to those, but Amplitude works great for us.
I use Plastic SCM because I can handle, via Gluon, non-text or non-code assets in the same repo as the programmers I work with, regardless of the size, if I have to lock those or files or anything. It is a point and click interface that keeps version control for me in the background will keeping me away from all its complexities. It's the perfect #VersionControlSystem to do distributed or centralized version control when you don't like any of those.
Plastic SCM is built using .NET, C# and Mono. In Product we decided to go for Amplitude and Segment to track usage and monitor activation as well as Intercom to communicate news, updates and tips. The reasons to pick all of those are pretty similar: scalability and ease of use.
- Real-time user analytics, including funnels, retention, flexible user segmentation, and revenue analysis.
- Microscope: Explore the user behavior behind any data point. Compare the behavior of engaged vs. churned users.
- Growth Discovery Engine: Identify behaviors that are predictive of retention or conversion and drive explosive user growth.
- Direct SQL Access via Amazon Redshift: Get access to all of your raw data with zero work on your end.