Customer activation insights made easy
Do you have a funnel report for your product? If so, that's already something. And how often do you analyze your funnels? Did you find any actionable insights? Have you managed to increase the conversion bottleneck and boost the activation? That's too many questions at a time. Let's start at the very beginning.
What does your marketing funnel look like?

It doesn't matter what your funnel is built with - Amplitude, Google Analytics, Mixpanel, Data Studio, or Microsoft Excel Script. What's more important, it should be easy to understand and operate well. But how does it look like?
A typical marketing funnel consists of:

This journey is considered to be a basic one. It helps to figure out a lot. For example, it shows that the landing page should be optimized. Or that you have too many rejections after initiate checkout. But how exactly can you improve a landing page or a checkout step? It seems we miss a lot when it comes to such a basic funnel that has much more to tell. Why?

EACH step in the user journey above can be divided into several DETAILED funnels as well. For example, with a Landing page it would be:
There can be about a dozen of small funnels at least. Are you sure you have mapped out all of them in your dashboard? :)

You may be surprised by the fact that people who go to a FAQ page or use chat support are more likely to sign up than people who don't do that. Maybe your landing page is missing some kind of important information. When you start analyzing signup from this perspective, you'll see 70% of all users do it through Google of Facebook authorization instead of filling up 4 fields in a signup form. In this case, wouldn't it be better to move a Google/Facebook Sign in button a little higher?

For more complicated websites and applications, you will have user properties and event properties as well to consider. This makes it even harder to analyze...
Options available

That would mean there can be a lot of various user journeys, much more than you can put together in your funnel report. So, how should you analyze all of them? You can build the only funnel in details (it should be the funnel users go through most) and a few smaller ones. It is a nice option if there are not too many users. If you have quite a few users, build even more, and more, and more… Compare properties, apply segments, and so on… Till someone does it for you. For instance, an algorithm.

AI that revisits all user's steps and events fired, compares event and user properties, calculates statistical significance, identifies user segments and shows the user journeys that convert better or worse.
This sounds too good to be true, but we are building such a tool and 20 product teams already use it.
Well, that's easy. As a first step, sign up to add your product to an account. At the moment, we support Amplitude and Mixpanel. Segment and mParticle are coming soon. After successful integration, data extraction begins. We will inform you when the operation is over.

Now, the ball is in your court. You can create research.

We have developed a very simple, intuitive interface. You have to enter only the main details for insight research. In case you have any questions left, feel free to contact us by a chat. We are happy to assist you.
Looking for insights and building funnels can take a while depending on the events volume. When the process is over, you'll receive a notification.

Why wouldn't you do one more research? Look into different journeys of your product to get new insights!
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