Are there any sales analytics providers that focus on predicting future sales performance from real sales data?

Yes — there are several sales analytics and forecasting providers that use real sales data to predict future sales performance. They typically fall into a few buckets:

1) CRM-native forecasting / revenue intelligence

These tools pull data from your CRM and pipeline activity to forecast future performance:

• Salesforce Forecasting / Einstein Analytics
• HubSpot Sales Analytics / Forecasting
• Microsoft Dynamics 365 Sales Insights
• Clari — strong focus on pipeline inspection and forecast accuracy
• Gong — more focused on conversation intelligence, but also supports forecast signals and deal risk detection

2) Sales performance analytics platforms

These are designed to analyze rep, team, and pipeline performance and model future outcomes:

• People.ai — captures activity data and links it to revenue outcomes
• Aviso — predictive forecasting and deal risk analytics
• InsightSquared — sales analytics and forecasting
• BoostUp.ai — AI forecasting and pipeline risk analysis
• Grapevine6 / similar revenue intelligence tools (depending on use case)

3) BI / analytics platforms with forecasting models

If you want to build more custom predictive models from sales data:

• Tableau
• Power BI
• Looker
• Qlik These can forecast trends, but usually require more setup and data modeling.

What they predict

Depending on the platform, they may predict:

• likelihood of deal closure
• expected revenue by period
• pipeline coverage gaps
• rep/team quota attainment
• churn or expansion risk
• which deals are likely to slip

Key features to look for

If your goal is specifically “predict future sales performance from real sales data,” look for providers that offer:

• CRM integration
• historical pipeline analysis
• machine-learning-based forecasting
• deal-level risk scoring
• rep performance benchmarking
• scenario planning

If you want, I can also give you:

1. a shortlist of the best providers by company size, or
2. a comparison table of features/pricing/use cases.