Kirnu is a churn prevention tool (web application) for SaaS businesses of all sizes. We designed Kirnu to make SaaS companies' fight against churn as effortless as possible, while maintaining applicability to all use cases. The platform utilizes the latest developments in sequential modelling, deep learning and churn prevention analytics to deliver customized recommendations for preventing individual users from churning.
At the core of Kirnu's platform is the Churn table (simulated data)
Note: the screenshot above illustrates Kirnu with traditional churn prediction selected. Users implementing an uplift model with Kirnu will have additional fields in the table for estimated uplift and recommended action. You can read more about uplift models from our blog here.)
The table enables you to get a broad view of your customers' health in terms of churn probability with a glimpse. More specifically:
The table is easily sorted, so you can for example sort your customers based on probability and focus on the customers with the highest values.
Kirnu's deep learning algorithm relies on the data it receives to make predictions on churn probability. In general, the data can be divided into two groups:
Kirnu solves many challenges unaddressed by competitors. For example, let us segment the churn prediction / prevention solutions on the market into two by asking whether they offer:
Companies in Group 1 provide an algorithm to which users are to provide the data, either manually, through data import, an API or an integration. Their platform analyzes the data and provides predictions. Rather similar to Kirnu, no? Well, yes, to some extent. Using solutions provided by companies in Group 1 requires you to have all data ready and neatly organized. What if you do not collect event data? Then you cannot use it, simple as that. Kirnu provides a predictive algorithm equipped with tools for collecting event data.
To provide a solution to the shortcomings of solutions in Group 1, companies that provide tools for event data collection have emerged. They offer event data collection either through:
We wanted to improve on this, and built Kirnu to be resilient to change from the beginning. With Kirnu, you do not have to worry about changing the structure or contents of your application. Our algorithm adapts to the changing environment on its own and is able to connect the dots on its own. This is why we dare to call our solution "automated to the extreme".
We (Aleksi & Oskari, two brothers) began working on Kirnu at the end of 2020. A lot has been achieved since then, and we are now approaching a private beta launch. We estimate the beta launch to happen during Spring 2021. As of now, we are fine tuning bits and pieces before beta launch to maximize test users' ease of use.
We hope this introduction got you as excited as we are! If you want to stay tuned, make sure to secure your early access by leaving your email below. We will also regularly (not more than once a week, however) post updates on the launch schedule.
- Aleksi & Oskari (feel free to contact us at [firstname]@kirnu.io)
P.S. We are looking for test users within the SaaS field who want to reduce their churn. If you are interested, drop us a line at firstname.lastname@example.org and we would be happy to have you on board.
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P.S. we expect to be beta test ready during Spring 2021 and are looking for test users. Drop us a line at email@example.com if you are interested in reducing churn in your SaaS application and getting exclusive access to Kirnu.