Upload your transaction data. Get AI-powered lifetime value predictions and customer segments in minutes. No data team required.
From raw transactions to actionable LTV segments in under 10 minutes.
Drag & drop a CSV with your transactions. Just 3 columns: customer ID, date, and amount. We auto-detect everything.
customer_id, date, sales
Our engine fits BG/NBD & Gamma-Gamma statistical models to predict each customer's future purchases, spend, and churn probability.
Download per-customer predictions and segment summaries. See who's your top 20%, who's about to churn, and where your revenue will come from.
Powered by the same models Google built for enterprise advertisers — now accessible to everyone.
Every customer gets a predicted future value, expected purchases, future AOV, and probability of being "alive" (not churned).
Customers automatically sorted into segments (e.g., Top, High, Medium, Low, At Risk) by predicted future value.
Built-in MAPE (Mean Absolute Percentage Error) validation so you know exactly how accurate the model is on your data.
Your data is processed and deleted. No data is shared with third parties. We never see individual customer identities.
Download per-customer predictions, segment summaries, and a visual PDF report ready to share with your team.
Pro plan includes a pre-built Looker Studio dashboard template. Connect your output data and get instant visual analytics.
Real predictions from the CDNow sample dataset — 23,502 customers analyzed.
| Customer ID | P(Alive) | Pred. Purchases | Future AOV | Expected Value | Segment |
|---|---|---|---|---|---|
C-00142 |
0.94 | 12.4 | €47.20 | €549.85 | ⭐ Top |
C-08891 |
0.87 | 8.1 | €62.30 | €438.92 | ⭐ Top |
C-03205 |
0.71 | 5.3 | €38.10 | €143.41 | High |
C-15440 |
0.52 | 2.1 | €29.80 | €32.54 | Medium |
C-21003 |
0.12 | 0.4 | €15.20 | €0.73 | At Risk |
| Segment | Customers | Avg Retention | Avg Pred. Value | Total Value | % of Total |
|---|---|---|---|---|---|
| ⭐ Top 20% | 4,701 | 89.2% | €605.62 | €2,847,302 | 62.3% |
| High | 4,700 | 72.1% | €189.67 | €891,445 | 19.5% |
| Medium | 4,700 | 51.4% | €106.85 | €502,190 | 11.0% |
| Low | 4,700 | 33.7% | €52.91 | €248,670 | 5.4% |
| At Risk | 4,701 | 8.9% | €17.53 | €82,393 | 1.8% |
Start with a free analysis. Upgrade when you're ready.
For teams getting started with LTV analysis
For brands serious about customer intelligence
You need a CSV file with at least 3 columns: Customer ID, Transaction Date, and Transaction Amount. Optionally, you can include an extra dimension (like product category or channel). We recommend at least 12 months of data (18+ months is ideal).
The model uses BG/NBD and Gamma-Gamma statistical models (the industry standard for CLV prediction). Typical MAPE (Mean Absolute Percentage Error) is under 5%. Every analysis includes a validation report so you can see the exact accuracy on your data.
Absolutely. Your data is encrypted in transit and at rest. We process it, generate predictions, and then delete the raw data within 24 hours. We never share your data with third parties. The pipeline is privacy-safe by design — built by Google Cloud's team with privacy as a core principle.
BG/NBD (Beta-Geometric/Negative Binomial Distribution) predicts how many future purchases a customer will make and whether they've churned. Gamma-Gamma predicts how much they'll spend per order. Together, they produce a full CLV prediction. These are the same models used in academic research and by major enterprises.
Yes! LTV Analyzer is platform-agnostic. As long as you can export your transaction data as a CSV (which every ecommerce platform supports), you can use it. It works with Shopify, WooCommerce, Magento, BigCommerce, custom platforms, and more.
Typically 2–5 minutes for datasets under 500K rows. Larger datasets (Pro plan) may take up to 15 minutes. You'll receive an email notification when your results are ready.
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