Predict what each customer will buy next, and when

Predictive upsell, cross-sell, and conversion uses machine learning to figure out three things from your customer data: who’s most likely to buy more, what they’re most likely to buy, and when they’re most likely to buy it. Instead of generic promotions, you get a ranked, targeted view of where revenue is hiding in your existing base and your active funnel.

Recommendation engines are great at “people who bought X also bought Y.” Pecan goes further. It looks at the full customer journey (purchases, behavior, engagement, lifecycle stage) and predicts the actual probability of conversion within a defined window. The output isn’t just a list of related products. It’s a ranked audience your team can act on today.

It depends on your starting point and your data, but Pecan customers regularly see double-digit improvements in conversion rate, average order value, and repeat-purchase frequency. The bigger the gap between your current targeting and true individual likelihood, the bigger the lift. We’ll walk through realistic ranges for your business when we meet.

Historical, event-level data from your warehouse (Snowflake, BigQuery, Redshift, Databricks, and similar). Useful signals include purchase history, product attributes, browsing or app activity, email engagement, plan or subscription state, and lifecycle dates. PII isn’t required. Pecan handles data prep and feature engineering automatically.

Yes. Predicting trial-to-paid, freemium-to-premium, or signup-to-first-purchase is a common use case. Pecan models behavioral signals from the trial window and identifies which users are most likely to convert and which need a nudge to get there.

Pecan pushes scored audiences and next-best-action signals into Salesforce, HubSpot, your ESP, your CDP, your ad platforms, and your warehouse. There’s no manual export step. Predictions show up where your campaign and lifecycle automation already lives.

No. If you can ask a clear business question, you’re qualified. Pecan’s predictive agent is built for marketers, growth, RevOps, and BI analysts. It handles modeling, validation, and deployment end to end. Book a live demo.

Most teams build their first model in under a day, often within a few hours. Iteration happens in minutes, so you can test new offers and segments at the speed your campaigns move.

Pecan benchmarks every model with metrics like AUC, lift, and forecast error. Customers usually see double-digit performance gains over manual segmentation or rules-based campaigns. Transparent dashboards show the drivers behind each prediction so you understand the why.

Pecan is ISO 27001 certified, SOC 2 Type II audited, GDPR ready, and encrypts data at rest and in transit. PII is never required. More on our security here.

Because models go live in days and run automatically, customers often report revenue lift within the first quarter. Hear their stories when we meet.

Every plan is commitment-free, and you can cancel anytime. See the value first, keep us only if it lands.