Metricool optimized churn calculation across several platforms

The high-growth startup Metricool needs a robust tool to help it calculate b2b metrics, automate reporting and get insights from their acquisition channels.
ABOUT THIS PROJECT
Juan Pablo, Ceo of Metricool, needed a tool that would unify his different payment systems: Stripe, Paypal, transfer… and identify the type of churn according to the needs of his startup. Other competitors solutions are implemented for the ideal user case, which rarely happens.
SCOPE OF WORK
Churn Recognition: Stripe, Paypal and CSV
B2B Saas Metrics Calculation
Cohorts and Segmentation
%
Time saved in reporting
+
SaaS b2b metrics automatically calculated by country, plan...
Datasource Connected
Precision Matters

Churn Recognition Analysis Model

We defined a churn calculation model that differentiated between voluntary and involuntary churn that was adapted to Metricool needs.

Metricool Subscription Analytics Solution With Demo Data

Precision Matters

MRR Movements Visualization

We have cleaned up and unified the different payment systems to implement automatic recognition of all MRR movements: New MRR, Churn MRR, Upgrate and Downgrade. This is not the complicated part, the hardest part is to do it with cohorts and customer segments according to different filters.
Nextscenario helps us unify our billing records and recognize churn when it actually happens. For example, if a user changed payment method to Paypal, it was recorded as churn . Or at the first attempt, even if we could recover it.
There are other subscription analytics tools on the market, but they only take into account the ideal cases that rarely happens and Nextscenario adapts to these use cases. Nextscenario has brought us savings in decision making and reporting times.
Juan Pablo
Metricool CEO
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RUSSEL THORNTON
UX Designer
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MILTON LOPEZ
Back-End Developer

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