AgentDepot → Aisle 05 · Finance → customer-ltv-analyzer-agent
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Customer LTV Analyzer Agent

Replaces a $55k financial analyst. Calculates per-customer lifetime value, LTV:CAC ratio, and cohort trends automatically.

The Problem

DTC and SaaS founders spend hours manually pulling customer data, calculating lifetime value, and comparing cohorts to understand unit economics. Without clear LTV metrics and LTV:CAC ratios, they overspend on acquisition and miss retention opportunities. Most SMBs lack a dedicated analyst to track these metrics weekly.

The Outcome

The agent pulls customer transaction history from your payment processor and CRM, calculates individual customer lifetime value, computes LTV:CAC ratios by acquisition channel, and generates weekly cohort comparison reports. It flags underperforming segments and alerts you when LTV:CAC drops below healthy thresholds, so you can adjust spend in real time.

Day in the Life
1.
Mon 8am: Syncs Stripe/Shopify transactions and Segment customer data → calculates LTV for all active customers → identifies top 20% by value
2.
Wed 10am: Compares Q4 cohort LTV vs Q3 → measures LTV:CAC by channel (organic, paid, referral) → flags paid channel underperforming at 1.8x ratio
3.
Fri 4pm: Generates weekly dashboard snapshot → emails founder LTV trends, churn risk segments, and recommended CAC budget cuts → updates shared spreadsheet
Deploy Specs
Runtime
python
Pattern
native-agent
Tier
medium
Setup Time
hours
Integrations
via Composiomanual setup
✓Stripe✓Shopify✓Segment✓HubSpot✓Klaviyo✓Google Analytics
GitHub Source
Repository
Stars
0
License
MIT
Last Commit
Replace
Financial Analyst
$55,000/yr
AgentDepot · Solo plan
$99/month
Save $53,812/yr · 46.3x cheaper
14-day free trial · No credit card
Also Replaces
×Mixpanel $999/mo
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×Tableau $70/mo
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