LTV-Weighted Targeting

Not all wins are equal. A customer who signs a $50K deal, churns in 12 months, and never expands is a worse win than a customer who signs a $30K deal, stays for five years, and expands to $200K. Win/loss analysis tells you who buys. LTV-weighted targeting tells you who stays, grows, and generates the most revenue per acquisition dollar. The second question is more important.

1. Calculate Account-Level LTV For every existing customer, calculate lifetime value: total revenue collected plus projected future revenue based on current retention rate and expansion trajectory. Rank customers by LTV. The top quartile is where your ICP refinement starts — these are not just customers who bought, they are customers who thrive.
2. Extract High-LTV Attributes What do your top-quartile LTV customers have in common that your bottom-quartile customers do not? Size, industry, technology maturity, buying process characteristics, implementation approach, executive sponsorship level. The attributes that correlate with high LTV are the attributes you should weight most heavily in your ICP.
3. Build the Weighted Score Assign weights to each ICP attribute based on its correlation with LTV. Industry vertical might be worth 30 points, company size worth 20, technology stack worth 15, growth signals worth 15, and buying behavior worth 20. The composite score ranks every prospect in your universe by predicted LTV, not just by likelihood to buy.