Salesforce Revenue Intelligence
Salesforce Revenue Intelligence (formerly Einstein Forecasting) is the native forecasting tool inside Sales Cloud. It provides forecast submissions, rollup visibility, and AI-driven deal insights without requiring a third-party platform. Revenue Intelligence is a fit for teams that want to stay within Salesforce and avoid integrating another vendor, especially if you already license Sales Cloud Einstein.
Official site ↗Why it ranks here
- Native Salesforce integration means no middleware, no API sync delays, and no separate login for reps or managers.
- Included with Sales Cloud Einstein licenses, so incremental cost is low if you already have Einstein for lead scoring or opportunity insights.
- AI deal insights (close date prediction, win probability) are powered by Einstein and improve over time as the system learns your historical data.
Where it sits
- Salesforce Revenue Intelligence wins on simplicity and cost if you already have Sales Cloud Einstein. It is the baseline option for orgs that want to avoid third-party vendors.
- It loses on feature depth. Clari, BoostUp, and Gong Forecast offer richer forecasting workflows, better UX, and more advanced analytics.
- Most mid-market and enterprise sales orgs outgrow native Salesforce forecasting and adopt Clari or BoostUp. Revenue Intelligence is situational, not a long-term solution for complex orgs.
How GTM Operations teams use it
- RevOps enables Salesforce Revenue Intelligence in Setup, configures forecast categories (commit, best case, pipeline), and assigns forecast types to user roles.
- Reps submit forecasts in Salesforce (Lightning Experience only), and managers roll up submissions using the native forecast hierarchy.
- AI deal insights surface predicted close dates and win probabilities on the opportunity record, helping managers prioritize which deals to inspect.
- RevOps uses Salesforce reports and dashboards to track forecast accuracy over time, then shares those trends in QBRs.
In-depth notes
- Salesforce Revenue Intelligence requires Sales Cloud Einstein licenses, an add-on to Sales Cloud with per-user monthly fees.
- The product is Lightning-only. If your org still uses Salesforce Classic, Revenue Intelligence is not available.
- AI deal insights (Einstein Opportunity Scoring) require at least 12 months of historical opportunity data and 200+ closed opportunities. Initial predictions are weak without clean historical data.
- The UX is clunky compared to Clari or BoostUp. Reps complain about navigating multiple Salesforce pages to submit forecasts and inspect deals.
- Most orgs use native Salesforce forecasting as a stopgap, then migrate to Clari or BoostUp as the sales org scales past 100 reps.
Best for
Salesforce orgs that already license Sales Cloud Einstein and want a simple native forecasting tool without integrating a third-party vendor.
Avoid if
You need deep forecasting workflows, rich analytics, or a modern UX (Clari or BoostUp are better investments).
The rest of Forecasting & revenue intelligence
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Gong Forecast Strong Forecasting module inside the Gong Revenue Intelligence platform, combining conversation data with pipeline analytics. #4 
Aviso Strong AI-first revenue intelligence platform with predictive forecasting, deal risk scoring, and guided selling workflows. #5 
Mediafly Revenue Intelligence Strong Forecasting and pipeline analytics platform (formerly InsightSquared) now part of the Mediafly revenue enablement suite. #6 
People.ai Revenue Intelligence Situational Revenue operations platform with forecasting, activity capture, and pipeline analytics, built on automated activity data. #7 
Outreach Commit Situational Forecasting module inside the Outreach sales engagement platform, combining pipeline analytics with sequencing data. #8 
Weflow Situational Lightweight forecasting and pipeline management tool built as a Salesforce-native Chrome extension and web app. #9 
Ebsta Situational Pipeline intelligence and relationship tracking tool with lightweight forecasting, built as a Salesforce and Outlook extension. #11 ![Collective[i] logo](/logos/collectivei.png){kind=small}
Collective[i] Niche Network intelligence and forecasting platform that uses anonymized data from the Collective[i] network to predict deal outcomes. #12 
Xactly Forecasting Niche Forecasting module inside the Xactly incentive compensation management platform, combining pipeline analytics with quota and comp data. #13 
SetSail Niche Revenue execution platform with activity capture, pipeline analytics, and lightweight forecasting, focused on rep behavior insights. Learning guide
Setup
Enable Salesforce Revenue Intelligence in Setup, configure forecast categories (commit, best case, pipeline), assign forecast types to user roles, and map opportunity stages to forecast categories. Einstein AI features require at least 12 months of historical opportunity data.
First thing to build
Set up a weekly forecast submission workflow where reps submit forecasts in Salesforce Lightning and managers roll up submissions using the native forecast hierarchy. Use Einstein Opportunity Scoring to surface predicted win probabilities on high-value deals.
What actually matters
- Configure forecast categories and map Salesforce opportunity stages to each category to establish submission rules.
- Assign forecast types to user roles and define the forecast hierarchy to match your sales org structure (rep to manager to director to VP).
- Enable Einstein Opportunity Scoring if you have at least 12 months of clean historical data and 200+ closed opportunities to train the AI model.
- Build Salesforce reports and dashboards to track forecast accuracy over time and identify which reps or segments consistently over- or under-forecast.
Watch out
Salesforce Revenue Intelligence is a stopgap solution for most orgs. The UX is clunky, the analytics are shallow, and most sales orgs outgrow it and migrate to Clari or BoostUp once the team scales past 100 reps.