Pecan: No-Code Predictive Analytics Software
Pecan helps data teams generate business predictions from historical data. It is designed for organizations that need predictive insights without a dedicated team of data scientists.
At a glance
- Category
- Data & Analytics
- Best for
- Mid-market companies, Enterprise companies, BI analysts, Data leaders, Business teams without in-house data scientists
- Pricing
- Pecan offers three annual tiers: Starter at $760/month, Team at $1,400/month, and Business at $2,000/month. Tiers are based on monthly prediction batches and total data storage (500M to 5Bn rows).
- Key use cases
- Customer Churn Prediction, Demand Forecasting, Lead Scoring, Customer Lifetime Value (LTV) Modeling, Fraud and Chargeback Prevention
- Integrations
- Snowflake, Google BigQuery, Amazon Redshift, Databricks, Salesforce
- Official website
- pecan.ai
Pecan is a no-code predictive analytics tool for business teams, data leaders, and BI analysts. It uses a conversational AI agent to support data preparation, model building, and validation, allowing users to generate predictions by asking business questions in plain English.
The software connects to various data warehouses and delivers predictions to tools such as CRMs and BI dashboards. It is designed to help companies move from raw data to insights without requiring machine learning expertise or manual SQL coding for data preparation.
Buyers should consider their monthly prediction volume and data storage needs, as these factors determine the pricing tier. Users should verify that their data warehouse is among the supported integrations to ensure the automated ETL process functions as intended.
Key Features
An AI agent that helps define use cases, prepare data, and answer business questions in plain English.
Automates the creation, training, and validation of predictive models without requiring coding or ML expertise.
Transforms raw data into model training sets using auto-generated SQL.
Supports scheduling the delivery of predictions to CRMs, data warehouses, or BI dashboards.
Provides performance metrics such as AUC and lift, described in natural language.
Use Cases
Identifying at-risk customers based on behavioral patterns and engagement signals to support retention efforts.
Predicting future inventory needs using historical sales data and seasonal adjustments.
Prioritizing leads with a higher likelihood to convert using behavioral tracking and firmographic data.
Identifying high-value customers through cohort analysis and historical purchasing behavior.
Scoring transactions for fraud risk to trigger reviews or cancellations.
Forecasting long-term return on ad spend shortly after launch to help optimize marketing budgets.
Best For
Integrations
Pricing
Pecan offers three annual tiers: Starter at $760/month, Team at $1,400/month, and Business at $2,000/month. Tiers are based on monthly prediction batches and total data storage (500M to 5Bn rows).
FAQ
No, the platform is designed for business teams and BI analysts. The AI agent handles the coding and model tuning automatically.
The provider states that most teams can establish their first model in under a day, often within a few hours.
Pecan has three annual plans: Starter ($760/mo), Team ($1,400/mo), and Business ($2,000/mo), based on storage and prediction batch limits.
Pecan requires historical, event-level data from a supported data warehouse, such as Snowflake, BigQuery, or Redshift.
Source category: Data & Analytics
Source subcategory: No-Code App Builder
