Upload your customer transaction history. LTV Analyzer runs the industry-standard BG/NBD model and returns predicted revenue per customer — in minutes.
| Customer ID | Predicted CLV | Segment |
|---|---|---|
| cust_0042 | €6,180 | Champion |
| cust_1837 | €2,940 | Loyal |
| cust_0291 | €520 | At Risk |
| cust_3014 | €310 | New |
From raw transaction data to actionable revenue predictions — no data science team required.
Export your transaction history from any e-commerce platform or CRM. We accept any CSV with customer ID, date, and order value columns.
The BG/NBD + Gamma-Gamma model fits your data, calculates purchase probability and expected spend per customer over the next 12 months.
Get a ranked CSV with predicted CLV, churn probability, and RFM segment for every customer. Ready to import into your CRM or BI tool.
LTV scores are only useful if they drive action. Here's what growth teams do with their results on day one.
Export your Champions segment as a CSV and upload it directly to Google Ads Customer Match. Instantly improve your bidding strategy using real LTV data.
Sync customer segments directly into your email platform or CRM. Let churn probability and predicted LTV drive your automation logic.
Use the optional dimension column to tag customers by acquisition channel, then compare LTV by source. Stop optimising for first-order ROAS.
Start free. Upgrade when you're ready. No contracts, no surprises.
Perfect for testing the model on your data before committing.
For growth teams running regular LTV analyses on real customer bases.
For agencies and brands with large customer bases and custom needs.
Built for growth teams, analysts, and founders who need real predictions without the data science overhead.
Export your Champions list and upload it to Google Ads. Bid higher on your best customers, exclude them from acquisition campaigns, or build lookalike audiences from your top 10%.
Shopify, WooCommerce, Klaviyo, Stripe — any CSV works. Map your columns once and we handle the rest automatically.
Every customer is automatically tagged — Champions, Loyal, At Risk, Dormant, Lost — so you know exactly where to focus retention budget.
Download a clean CSV with LTV prediction and segment per customer — ready to upload to Google Ads, Klaviyo, or Meta Audiences.
All data is processed and stored in EU infrastructure. GDPR-compliant by default. Your data is deleted after 30 days.
Most analyses complete in under 2 minutes. No infrastructure to manage, no Python environment to set up, no waiting.
Your CSV needs at minimum three columns: a customer identifier, a transaction date, and an order value. Column names don't matter — you map them during upload. We support exports from Shopify, WooCommerce, Stripe, Klaviyo, and any custom format. Files up to 50 MB are accepted on the Starter plan.
LTV Analyzer is built on the BG/NBD and Gamma-Gamma models — the peer-reviewed academic standard for non-contractual CLV prediction, developed by Peter Fader and Bruce Hardie at Wharton and widely adopted by enterprise analytics teams. Across our validation dataset of 4.2M historical customer records, cohort-level accuracy (MAPE) is under 5%. Individual predictions are probabilistic — the model gives you the statistically expected value per customer, not a guarantee. Accuracy improves with 12+ months of history and 200+ customers.
Yes. All data is processed exclusively in EU infrastructure (Frankfurt). We never share or sell your data. Uploaded files and analysis results are automatically deleted after 30 days. You can request immediate deletion at any time by contacting support. We are GDPR-compliant and operate under Spanish LOPD-GDD guidelines.
The model works best with at least 6 months of transaction history and a minimum of 100 customers. For reliable predictions, we recommend 12–24 months of data. If you have less, the model will still run but the confidence intervals on predictions will be wider. The output will flag data quality issues automatically.
Yes. You can cancel at any time from your account settings. Your plan remains active until the end of the current billing period. We offer a 14-day refund policy — if you're not satisfied within 14 days of your first payment, contact us and we'll issue a full refund.