Enabling Zia's prediction features is only half the picture. The predictions themselves become genuinely useful when you can assess their reliability, understand what is driving them, and spot the patterns that allow you to intervene before a deal is lost or a target is missed. Prediction Analytics is the layer of Zoho CRM that gives you that visibility.
Accessible via Setup › Zia › Prediction › Analytics, Prediction Analytics presents a range of charts, tables, and metrics that let administrators and sales managers evaluate the health and accuracy of Zia's forecasting models — and then act on what they find.
Access requirement: Only users with the “Manage Configuration” permission for Zia Prediction can view Prediction Analytics. This is typically restricted to CRM administrators and sales operations leads.
Key Metrics and Reports Available
- Prediction Accuracy: Zia scores its own prediction reliability by comparing predicted outcomes against actual results across closed deals and lost deals. This gives a clear picture of how much to trust the model's current outputs.
- Record Trends: Tracks whether individual records are trending positively or negatively based on recent activity and probability changes — surfacing deals that are quietly moving away from a successful close.
- Time-Based Performance: Graphical views comparing predicted outcomes against actual results across week, month, and quarter timeframes — useful for spotting whether model accuracy changes across different periods.
- User Performance Reports: Tabular data showing each rep's total predictions, failed predictions, and active predictions — helping managers identify who may need coaching on deal management or data quality habits.
- Deal Stage Analysis: Identifies which pipeline stages contain deals most likely to close as lost — allowing early intervention before deals become unrecoverable.
- Win/Loss Contributing Factors: Shows both record-level and organisation-level views of the factors that most strongly correlate with wins and losses — a practical coaching tool for improving qualification and deal management.
- Delayed Deals: Compares Zia's predicted conversion dates against actual close dates, with a deviation measurement in days. Useful for identifying systematic optimism in close date estimates.
Reading the Accuracy Score
Zia's prediction accuracy is expressed as a percentage. Understanding what this number means in practice helps set appropriate expectations when using predictions in pipeline reviews and forecasting conversations:
| Accuracy Band | What It Means |
|---|
| > 80% | Strong — predictions are reliable and can be used with confidence in forecasting |
| 60–80% | Moderate — predictions are directionally useful but should be validated against other signals |
| < 60% | Weak — review your training data quality and record completeness before relying on this model |
When Analytics Shows No Data
If Prediction Analytics returns no data, the most common reasons are:
- The prediction model has not yet completed its initial training (allow up to 24 hours after configuration).
- The records being evaluated have not been updated recently — newly created records or those with no recent activity may not yet have active predictions.
- Insufficient historical data has accumulated to generate meaningful analytics. This is common in the first weeks after enabling a new prediction rule.
Revisiting Analytics after a few days or weeks as more data accumulates typically resolves these gaps.
Using Analytics to Improve the Model
Prediction Analytics is not just a passive reporting tool — it actively informs how to refine your prediction rules. If accuracy is consistently below the acceptable threshold, the analytics data will often reveal the reason: a specific deal stage where predictions consistently fail, a user whose records are missing critical data, or a time period where the pattern changes significantly. Adjusting filter criteria in the prediction rule, improving data entry standards, or revisiting which fields are included as contributing factors can all drive accuracy improvements over subsequent retraining cycles.
Need help? 1 Cloud Consultants work with UK and Ireland sales teams to translate Zia's prediction data into coaching conversations, pipeline reviews, and process improvements.
Book a discovery call.