How to Set Up Clari Revenue Forecasting With Your CRM
Clari turns CRM opportunity data into a forecast by applying a pipeline model — stages, exit criteria, and weighted probabilities. Setup means connecting your CRM, mapping fields, defining that model, and enrolling reps in weekly call submission.
That last step is the one that determines success, and it has nothing to do with software. A forecast nobody updates is a spreadsheet with extra steps.
What Is Clari and What Does It Forecast?
Clari is a revenue operations platform that reads opportunity records from a CRM and produces forecasts, pipeline inspection views, and deal risk signals. It does not create deals; it interprets existing ones.
That means your output is only as good as your input. Companies with 40% of deals missing a close date get a forecast that is fiction, dressed up in a nice chart.
How Do I Connect Clari to Salesforce or HubSpot?
- In Clari, go to Admin → Data → Connections and choose your CRM.
- Install the managed package (Salesforce) or authorize the HubSpot app.
- Select which objects to sync: Opportunity, Account, User, and optionally Contact.
- Pick the fields that matter — amount, close date, stage, owner, forecast category.
- Run the initial sync. Historic data pulls take several hours on a large org.
Sync runs continuously after that. Expect a few seconds of lag between a CRM edit and Clari reflecting it, which is fine for forecasting and confusing during a live pipeline review.
How Do I Build a Pipeline Model That People Trust?
A pipeline model has three parts: stages, exit criteria per stage, and a probability per stage.
| Stage | Exit criterion | Probability |
|---|---|---|
| Discovery | Pain identified, budget confirmed | 10% |
| Technical validation | Solution demo completed | 30% |
| Business case | Pricing presented to economic buyer | 55% |
| Negotiation | Redlines exchanged | 80% |
| Closed won | Signed | 100% |
Set probabilities from your own historical conversion, not from gut feel. Clari can compute stage conversion from closed deals — use that number. Teams that guess 50% for every mid-stage deal produce a forecast that is either wildly optimistic or uselessly conservative.
Why Do Reps Ignore the Forecast Request?
Because it duplicates work they already did in the CRM. If Clari asks for a commit number and the CRM already has a forecast category field, you now have two sources of truth.
The fix is to make the CRM field authoritative and have Clari inherit it, then ask only for the explanation when the number changes. Reps will submit a two-line note about why a deal slipped; they will not maintain a second spreadsheet.
How Is Deal Risk Actually Scored?
Clari flags deals that deviate from typical patterns: long time in stage, no activity for 14 days, missing close date near period end, or a single contact when comparable deals had four. These are behavioural signals, not AI prediction, and they are more useful for coaching than for forecasting accuracy.
Expect false positives. A large enterprise deal legitimately sits in negotiation for six weeks. The signal is a prompt to ask, not an instruction to discount the deal.
What Does Clari Cost?
Clari does not publish pricing, and that is a signal in itself. In practice, enterprise deals are quoted annually with a floor in the tens of thousands of dollars, scoped by number of seats and modules. There is no free tier and no self-serve checkout.
For a team under 20 reps, that cost rarely clears the value bar against a well-built Salesforce forecast plus a dashboard. Clari earns its price at 50+ reps with multiple sales motions, where forecast accuracy on a single quarter outweighs the annual fee.
Who Should Not Buy Clari
Companies with clean CRM hygiene but fewer than 20 reps. Teams that will not enforce weekly forecast calls. Any org where the CRM is a reporting afterthought — fix that first, because Clari will faithfully forecast garbage.
Quick Summary
- Clari forecasts from existing CRM opportunity data; it does not create records.
- Setup is CRM connection, field mapping, pipeline model, then rep enrolment.
- Set stage probabilities from historical conversion, not intuition.
- Risk signals flag stalled deals — useful for coaching, prone to false positives.
- No published pricing and no free tier; typically justified above 50 reps.
