Improving Revenue Prediction Accuracy with Enrichment Strategies

To improve your revenue prediction enrichment accuracy, follow these best practices: 1. Use management's earnings guidance as a starting point 2. Incorporate analyst financial models with your own assumptions 3. Analyze historical data, industry trends, and economic conditions 4. Consider industry-specific growth drivers for high-growth companies To run an enrichment in Clay, click "Add enrichment" in your table, search for the revenue prediction tool, and select the appropriate integration.

Sources: What is Forward Revenue? | Clay Enrichments | Documentation | Clay University

To normalize revenue prediction output in Clay: 1. Navigate to the enrichment panel and locate the "Tools" section 2. Select the "Normalize" option in the left sub-navigation 3. Choose the appropriate normalization function for your data type 4. Select your revenue prediction column as the input 5. Optionally enable additional formatting options 6. Run the action across your rows This will create consistent, clean data ready for analysis.

Sources: Data Cleaning + Normalization [CRM Enrichment] - Clay University Data Cleaning + Normalization [Clay 101] - Clay University Data Cleaning + Normalization [Clay 101] - Clay University