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How do I build a real bottom-up forecast in a 50-rep org?

4/29/2024

Don't ask AEs to estimate pipeline. Ask them to list every deal (deal name, company, amount, close date, next step, owner, confidence). Then YOU bucket the deals by stage and probability yourself. Reps are terrible at forecasting; data doesn't lie. Your bottom-up forecast lives in your CRM, not in a manager's gut.

How to build it (monthly cadence):

Step 1: Data pull. Export your CRM: deal name, contact, amount, stage, last activity date, next step, confidence. One row per deal. (You're doing this now—if your CRM can't export this in 5 minutes, fix that first.)

Step 2: Clean & validate. Check 4 things:

Step 3: Assign confidence by stage, not by rep opinion. Don't trust AE confidence scores.

These percentages come from your historical data. Pull 12 months of deals and calculate: "Of deals that entered Stage 2 in the past year, what % actually closed?" Use that real number, not industry benchmarks.

Step 4: Segment by rep, deal age, and size. Create a pivot showing:

Step 5: Calculate three forecasts.

ForecastDefinitionFormula
ConservativeOnly Stage 4 + Stage 5 dealsSum of Stage 4 × 0.75 + Stage 5 × 0.95
RealisticStage 3 + 4 + 5Stage 3 × 0.50 + Stage 4 × 0.75 + Stage 5 × 0.95
UpsideAll deals by stage probabilityApply stage confidence to all stages

Present all three to leadership. Never claim "we're making $X" when you mean "if everything closes." Say "conservative is $2.4M, realistic is $3.1M, upside is $4.2M."

Step 6: Flag red deals. Any deal >$50K that's over age-target for its stage. Pull the AE in and ask: "This deal is 40 days old in stage 2. What's changed since day 20? Is it still real?" Update it or close it.

Do this every Friday. Takes 2 hours for a 50-rep org (or less if you automate it with Salesforce Reports/Power BI). Once AEs realize you're checking the data independently every week, they stop lying on Fridays and actually work harder.

flowchart TB A["CRM Export"] --> B["Validate Data"] B --> C["Assign Stage Confidence"] C --> D["Historical Win Rates"] D --> E["Build Pivot by Stage & Rep"] E --> F{"Age Check"} F -->|Overdue| G["Flag & Review"] F -->|On Track| H["Keep in Forecast"] G --> I["Close or Push"] H --> J["Conservative Forecast"] I --> J J --> K["Realistic Forecast"] K --> L["Upside Forecast"]

TAGS: forecasting,sales-ops,bottom-up,50-rep-org,revenue-ops

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Sources cited
clari.comhttps://www.clari.com/gartner.comhttps://www.gartner.com/en/documents/sales-forecastingbvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2026joinpavilion.comhttps://www.joinpavilion.com/compensation-reportbridgegroupinc.comhttps://www.bridgegroupinc.com/blog/sales-development-reportgartner.comhttps://www.gartner.com/en/sales/research
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