LTV & Cohort Analytics
Lifetime value, cohort retention, and RFM segmentation powered by real Odoo order history. Stop optimizing for first purchase — start optimizing for customer lifetime value.
The Problem
Most ad optimization focuses on the first purchase. Campaign A has a $20 CPA, Campaign B has a $35 CPA — so you double down on Campaign A. But six months later, Campaign B customers have purchased 4 times with $400 average LTV, while Campaign A customers never returned.
Without LTV data connected to acquisition source, you systematically over-invest in channels that produce cheap but low-quality customers. The data you need lives in Odoo order history, but ad platforms never see it.
How odooPXL Solves It
Lifetime value by acquisition source
See the projected LTV of customers acquired from each ad platform, campaign, or channel. Know that Meta customers have 2.4x higher LTV than Google Shopping customers — and adjust budgets accordingly.
Cohort retention curves
Group customers by acquisition month and track their repeat purchase rate over time. Identify which cohorts retain best and which campaigns produce one-time buyers.
RFM segmentation
Automatically segment customers by Recency, Frequency, and Monetary value using Odoo order data. Identify champions, at-risk customers, and hibernating buyers for targeted re-engagement.
Predicted LTV scoring
odooPXL uses historical purchase patterns to predict the future value of each customer segment. Feed predicted LTV back to ad platforms as conversion values for value-based bidding.
RFM Segments Explained
Champions
Bought recently, buy often, spend the most
Loyal Customers
High frequency, responsive to promotions
Potential Loyalists
Recent buyers with average frequency
At Risk
Used to buy frequently but haven't recently
Hibernating
Last purchase was long ago, low frequency
New Customers
First purchase recently, LTV unknown
Related Features
Optimize for lifetime value, not just first purchase.
Your Odoo order history is a goldmine. Start using it.