Know what every customer is actually worth.
Finsi's 4-tier predictive LTV system gives you confidence-rated lifetime value predictions for every customer—from basic order history estimates to ML-powered churn models—with milestone tracking at 1, 3, 6, 12, 24, and 36 months.
4-Tier Confidence System
Tier 1 uses order history alone (45% confidence). Tier 2 adds subscription data (60%). Tier 3 incorporates first-party behavioral tracking (70%). Tier 4 applies ML-trained churn models for 70%+ confidence. You always know how reliable each prediction is.
Milestone-Based LTV
Track predicted customer value at 1, 3, 6, 12, 24, and 36-month milestones. See how LTV projections evolve as customers mature, and identify the critical moments where value accelerates or stalls.
Growth Multipliers
Measure the growth multiplier between each LTV milestone—how much does a 3-month customer grow to become a 12-month customer? Use multiplier data to identify which segments have the highest long-term growth potential.
Cohort Projection
Project future LTV for newer cohorts using the actual performance curves of your mature cohorts. Finsi identifies which historical cohort most closely matches each new group and applies their trajectory to generate forward-looking projections.
Payback Period Analysis
Know exactly how long it takes to recoup customer acquisition costs. Finsi calculates payback periods by acquisition channel, campaign, and segment—so you can set accurate CAC targets and optimize ad spend against true LTV.
Signal Detection
Finsi detects early behavioral signals that predict high-LTV outcomes—second purchase timing, product category exploration, subscription upgrades, and engagement patterns. Use these signals to identify and nurture your most valuable customers early.
Confidence-rated LTV for every customer.
Finsi's Predictive LTV dashboard shows each customer's projected lifetime value alongside a clear confidence tier. As more data becomes available—subscription behavior, browsing activity, churn model scores—predictions automatically upgrade to higher confidence tiers. Filter by tier to understand how prediction reliability varies across your customer base.
Milestone tracking from month 1 to month 36.
See how customer value compounds over time with milestone-based LTV projections. Finsi tracks actual vs. predicted value at each milestone and calculates the growth multiplier between stages. Use cohort projection to forecast where newer customers are headed based on the trajectories of your most mature cohorts.
Frequently Asked Questions
1. What are the 4 tiers in Finsi's predictive LTV system?
Tier 1 uses order history data only, providing a baseline prediction at approximately 45% confidence. Tier 2 adds subscription data (cancellations, renewals, skips, pauses) to reach around 60% confidence. Tier 3 incorporates first-party behavioral tracking like browsing patterns and email engagement for approximately 70% confidence. Tier 4 applies a machine-learning-trained churn model to achieve 70%+ confidence with the most accurate long-term predictions.
2. How does milestone-based LTV differ from a single LTV number?
A single LTV number obscures when value is realized. Finsi's milestone approach projects customer value at 1, 3, 6, 12, 24, and 36 months separately. This reveals whether a customer's value is front-loaded or compounds over time, how quickly you recoup acquisition costs, and which milestones represent the biggest growth opportunities for retention investment.
3. How does cohort projection work for newer customer groups?
Finsi analyzes the complete LTV curves of your mature cohorts—customers with 12+ months of history—and identifies which historical cohort most closely matches each newer group based on early behavior patterns. It then applies the mature cohort's trajectory to project future milestones. As the newer cohort accumulates more data, projections are refined and confidence tiers upgrade automatically.
4. What is the growth multiplier and how is it used?
The growth multiplier measures how much customer value increases between consecutive milestones. For example, if a cohort's average LTV is $50 at 3 months and $150 at 12 months, the 3-to-12-month multiplier is 3x. These multipliers help you forecast long-term value from early data and identify which customer segments have the highest compounding potential over time.
5. How does payback period analysis help with acquisition decisions?
Payback period analysis calculates exactly how many months it takes for cumulative customer revenue to exceed the acquisition cost. Finsi breaks this down by acquisition channel, campaign, and customer segment—so you can see that Meta Ads customers pay back in 4 months while Google Shopping customers pay back in 2 months, and allocate budget accordingly.
Make Every Customer Acquisition Decision with LTV Confidence
Finsi's 4-tier predictive LTV system tells you what every customer is worth—with transparent confidence ratings and milestone tracking from month 1 to month 36. Start your free pilot.