Launching today
SaaSAnalytics
Analytics, attribution & AI – built for SaaS teams
8 followers
Analytics, attribution & AI – built for SaaS teams
8 followers
Most SaaS teams have data everywhere. Google Analytics for traffic. Stripe for revenue. Slack for alerts. Zapier for automations. Intercom for chat. Nothing actually talks to each other. SaaSAnalytics brings analytics, attribution, onboarding automation, and AI chat support into one clean dashboard. See what’s driving revenue. Spot where users drop off. Automatically nudge them back. No switching tools. No messy stack.
We've been using SaaSAnalytics across two of our products for quite a while now and it has become one of the few tools we genuinely rely on every day. We use it for both AppBuild.diy and AppInstitute.com and it has replaced several separate tools for analytics and user targeting.
What I like most is how easy it is to move between projects. Running multiple SaaS platforms usually means juggling different dashboards and accounts, but switching between products in SaaSAnalytics is quick and seamless. We can instantly see signups, activity trends and user behaviour across both platforms without needing separate systems.
Segmentation is where the platform really shines for us. We can quickly build segments for things like new trial users, inactive customers, recent signups or engaged users. It takes seconds to create a segment and immediately start working with that data. This has made it much easier to run targeted campaigns and understand how different groups of users behave.
The campaign tools are extremely useful because everything is connected to the analytics data. Instead of exporting lists into another system we can send targeted campaigns directly from the platform. That saves a lot of time and keeps everything organised in one place.
The analytics side gives us exactly what we need without being overwhelming. We regularly use it to monitor signup trends, track conversions and understand how users move through our onboarding. It makes it easy to answer practical questions about what is working and what needs improving.
Another thing I appreciate is how simple the platform is to use. A lot of analytics tools require developer setup or complicated dashboards before you get anything useful. SaaSAnalytics feels much more straightforward. Most of the team can use it without needing technical knowledge.
Being able to manage multiple products from one place has been a big advantage for us. For companies running more than one SaaS product this feature alone makes a huge difference.
There is always room for improvement. More advanced reporting options and additional integrations would be useful, but nothing is missing that prevents us from using it day to day.
Overall this has become a core part of how we run our products. It gives us clear insight into what users are doing and makes it easy to act on that information.
If you run a SaaS product and want useful analytics without a complicated setup, this is one of the best tools we have used.
@davidhallappinst Really appreciate you taking the time to write this. Means a lot.
You’ve nailed exactly what we’re trying to build - not “another analytics dashboard”, but a system you can actually operate your products from.
The multi-project point is a big one. Most teams don’t realise how much friction they’re accepting by juggling tools until they see everything in one place.
Glad segmentation is hitting the mark too. In our experience, most SaaS teams underuse their own data simply because it’s too slow or technical to slice it properly. If building a segment takes seconds, you actually use it. And that’s when targeting starts to feel strategic rather than reactive.
On the campaign side, the “no export” workflow is deliberate. The second you have to download CSVs and push them somewhere else, momentum drops. Keeping analytics and action together is the whole point.
You’re also right about reporting and integrations. That’s an active focus. More advanced reporting layers and deeper integrations are coming, but we’re being careful not to turn it into a bloated enterprise tool that nobody enjoys using.
Thanks again for the honest feedback. It helps shape where we take it next.