Use Case Metricool
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
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.
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.
Data-driven performance and decision-making
How we do
We analyze and clean data sources
The data connectors of Stripe, Paypal... from generalist tools have many errors. They need cleaning and modeling
Data modelling
we apply our data models and churn models to obtain the required metrics, mrr movements, churn according to the required cohorts
Data Visualization and Alerts
We automatically visualize data in a way that is easy to segment by country, currency, plan and language and set alerts and targets.
Metricool Subscription Analytics Solution With Demo Data
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.
