Spec sheet · Predictive analytics
Pecan AI
The short answer
Predictive analytics platform that builds forecasting models from your business data without data scientists.
On this page 4 sections
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Spec sheet
REF PECAN-AI- Category
- Predictive analytics and AI
- Connects to
- Snowflake, BigQuery, Redshift, Databricks
- Predicts
- Churn, LTV, lead scores, demand, upsell, winback, fraud, campaign ROAS
- Delivers to
- CRMs, marketing platforms, BI dashboards, API
- Security
- ISO 27001, SOC 2 Type II (company statement)
- Free plan or trial
- Pricing on request (talk to sales)
- Starting price
- Not published clearly on the vendor’s site; check with Pecan AI.
What Pecan AI does
Pecan connects to cloud data warehouses including Snowflake, BigQuery, Redshift and Databricks, automates data preparation, modelling and validation, and sends predictions to CRMs, marketing platforms and BI dashboards through integrations or an API.
Its listed use cases include churn, customer lifetime value, lead scoring, demand forecasting, upsell and cross-sell, winback, fraud prevention and campaign ROAS prediction. It is aimed at business and analytics teams; the company says no coding or machine-learning expertise is required. Results quoted on its site are the company's own figures.
A good fit for
- Mid-size businesses with data in a warehouse and no data science team.
- Marketing and customer success teams wanting churn or LTV scores in their tools.
Probably not for
- Businesses whose data is not yet centralised.
- Very small customer bases without enough history to learn from.
Alternatives
- BigQuery ML: Models in SQL, if you have analysts.
- Akkio: No-code predictive analytics.
Where we discuss Pecan AI
This spec sheet is based on Pecan AI’s own published materials, read on 18 October 2026. We have not run the product in a live account, and features change; confirm anything important with the vendor. Pecan AI is a trademark of its owner; its mention here does not imply endorsement. See our editorial policy.