What is Amplitude?
Who uses 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.
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
This time I want to share something different. For those that have read my stack decisions, it's normal to expect some advice on infrastructure or React Native. Lately my mind has been focusing more on product as a experience than what's it made of (anatomy). As a tech leader, I have to worry about things like: are we taking enough time for reviews? Are we improving over time? Are we faster now? Is our code of higher quality?
For all these questions you can add many great recommendations on your pipeline. We use Trello for bug-tracking and project management. We use https://danger.systems/js/ to add checks for linting, type-enforcing and other quality dimensions in our PRs and a great feature from Vercel that let's you previsualize deployments directly in a PR. However it's not easy to measure this improvements over time. For customer matters we have Amplitude or Firebase analytics, but for our internal process? That's a little bit more complicated.
I collaborated recently with some folks in a small startup as an early adopter to create a metrics dashboard for engineers. I tried to add the tool to stackshare.io but still it doesn't appear as one of the options, please take a look on it over product hunt and let us know https://www.producthunt.com/posts/scope-6
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.
Does Segment have one set of code that would integrate Intercom and Amplitude? Or do I have to code in all 3 of them? Do you think it's necessary to have all three for a startup? (Im new here.. and new in the tech world too.)
- 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.