We have come to the end of our Saas Analytics Stack series. Ruben will be giving us a quick recap of everything we have discussed of the SaaS data flow. Plus some tips on how to manage your stack.
SaaS Analytics Stacks Playlist https://www.youtube.com/watch?v=t8zAPTNlJMg&list=PLgr_8Hk8l4ZGDnOOa0biP1N7buN9BBts2
Amplitude Analytics: https://amplitude.com/
Practico Analytics: https://practicoanalytics.com/
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Welcome to our last video here a conclusion video in our SaaS analytics stack series. And just, you know, to look at everything we cover in the last few videos, you know, we start by looking at the acquisition data. This is typically everything up to the signup event. And we, you know, we use tools like segment, we introduced how segment works, what’s the main benefit of it. Tools like Google Analytics, which you are likely familiar with. And then eventually went through as a tool like amplitude. You know, some behavioral tools, you have amplitude, you got mixpanel, you kissmetrics, you have lots of options here.
Then we look at the onboarding events, right. We look at, you know, once the users sign up for your product, we want to track all the different steps that user must take to be onboarded successfully, right. And we typically do that inside some like amplitude using the funnel analysis report. And lastly, our last video, we looked at some of the critical actions. So some of the behavioral events and retention for our users, that is, are they using the product, are they adopting features, are they being retained, and we finished by looking at some of the revenue data. So these are some of the specific SaaS metrics that you might care about, like monthly recurring revenue and churn.
And some of the best ways of tackling that. So this this can be a great stack. So you know, in our stack we look at we look at a segment, Google Analytics, amplitude and then some kind of payment processor like recurly or charge me with some data box. So we’ve got about four tools there, give or take maybe five, if you include some of the qualitative data here I mentioned here like session recordings, it’s you know, it’s a relatively small stack. Really the last piece of advice I just want to mention here is to keep your stack simple you know, start small and then build upon it. It’s very easy to where the with 5-10 tools all at once especially with the using something like segment the additional tools, the cost of it can seem quite low you know, just simply make a few clicks and you enable and now you have any tool.
But always remember that there’s a big cost when it comes to learning tools, maintaining them especially if you have a team right. Getting multiple people in your team to learn a new tool can be quite time consuming and you don’t want to make them learn five, 6, 10 different tools on a regular basis all the time. So keep it small, keep it simple. And for your event data, you know, start with a handful events you know typically sounded like five or 10 events is something that can be done in an initial pass and then you build upon it. You’re always going to have gaps in your data understand that but you want to be able to tackle some of the your your your biggest challenges, or your biggest priorities and then slowly build upon that right. That can be a great strategy for success as you build out your analytics stack or your proof whatever your analytics that guest right now. I hope you enjoy the series. If you have any questions just post in the comments. I’ll be jumping through the comments and respond as best as I can. And I’m sure Julian can also offer some answers whenever possible. Once again, my name is Ruben and I’m the founder Practico Analytics and I had a grip less going over this stack series with you guys. Thank you.