Beyond the Surface: How Deep Data Analysis and Cohort Insights Drove a 155% Increase in YOXO Business Results

Avoiding the Simpson’s Paradox through cohort analysis to validate spending and optimize long-term marketing strategy.

Executive Summary

The primary objective was to extract actionable insights from campaign metrics to validate short-term spending and long-term strategic pacing.

Analyze user behavior within the acquisition funnel, specifically service activations.
Address an apparent monthly decline in users activating accounts after app installation.
Validate high-investment decisions towards conversion-generating channels.
Determine strong arguments for long-term strategy pacing to increase subscriber volume.

We moved beyond aggregate data to identify a data fallacy that was completely reversing our strategic conclusions.

Cohort Analysis Implementation: Broke down behavioral analytics into related groups (cohorts) sharing common characteristics within defined time-spans.
Simpson’s Paradox Identification: Identified that the perceived downward trend disappeared or reversed when looking at data as a cohort rather than an aggregate base.
Seasonality Correlation: Correlated activation data with monthly budget planning while accounting for seasonal fluctuations.
Remarketing Optimization: Analyzed frequency and time-frame opportunities to increase the efficiency of remarketing campaigns.
Budget Redistribution: Pivoted to a shorter-time remarketing strategy to maximize efficiency based on refined behavioral insights.

By moving to a cohort-based behavioral analytics model, we transformed YOXO’s strategic decision-making ecosystem: Here are the results:

in business

account creation to subscription

of the perceived downward trend into a positive uptrend

of monthly performance campaign spending

through redistributed remarketing budget

Get in touch with our team to discover how DataRevolt can help you leverage data to drive marketing performance.