You close $200K this month. Your forecast said $260K. That's not a miss on deals you lost—that's a lie in the deals you think you have. And it almost always starts with shared deals. When two sales reps both touch a deal, they both book it. Your CRM shows $2M in pipeline when you really have $1.7M. Your sales leader plans hiring and inventory around the phantom $300K. By month-end, everyone's angry at the forecast, not at the deal-sharing rules that broke it. This audit walks you through finding shared deals, establishing ownership rules that your team will actually follow, recalculating weighted probability without the double-count, and documenting territory conflicts so they don't happen again. Why shared deals inflate pipeline by a full third A shared deal is any opportunity with two or more sales reps assigned to the CRM record. Technically correct—multiple people touched it. Forecasting disaster. Here's the math: Rep A owns the account. Probability 65%. Deal size $50K. Rep B closes a new line item. Probability 60%. Deal size $50K. Your CRM pipeline now shows $100K weighted at 60% average = $60K forecast value. Reality: one deal closes. $50K lands. You're $10K high. Multiply that across 40 reps, and shared deals touch maybe 25–30% of mid-stage opportunities. That's not $10K—that's $300K phantom revenue in a $1M forecast. The second lie shared deals tell is about rep productivity. You can't tell if a rep is carrying a weak forecast or if they're just double-booked on deals closing elsewhere. The audit: how to find shared deals in your existing pipeline Start with a data export. You need deal owner fields and recent activity logs. Most CRMs let you export deal records with owner history—use that. Step 1: Identify all multi-owner deals Filter for deals with two or more people assigned. Don't count followers or Slack notifications—only deal-owner fields. Run the query weekly; this will be recurring work. Sort by stage and probability. You care most about deals in forecast stages (your 30%+ stage forward). Step 2: Look at activity timestamps For each shared deal, check: When did each rep last touch it (email, call, meeting, proposal)? Who created the deal? (That's often the true originator.) Who moved it into the current stage? Who proposed the deal value? Most shared deals fall into a pattern: Account owner + closer: Rep A manages the relationship; Rep B closes a specific line item. Territory overlap: Two reps each think the customer is theirs. Accidental double-add: A deal was created twice, then merged halfway. Legacy hold-overs: A rep left; nobody removed them from old deals. Each pattern needs a different fix. Step 3: Document conflict and value split For each shared deal, record: Deal ID and name. Both rep names and email. Total deal value. Date created and who created it. Current stage and last touch by each rep. Conflict type (overlap, account + closer, duplicate, legacy). Put this in a shared spreadsheet or audit table in your CRM. You'll reference this in the next step. Establish ownership rules before you reassign Don't just remove reps from deals. You'll destroy territory agreements and tank morale. Instead, codify the rule so the team knows why it matters. Rule 1: Account owner owns all deals in that account If you have account-based selling, the account rep is primary deal owner. Other reps (closers, specialists) are followers or collaborators, not co-owners. One exception: if a specialist brings the deal, owns the contract terms, and the account rep has zero involvement, you may need a secondary owner model. But this should be rare and documented. Rule 2: Last touch wins on territory disputes If two reps genuinely compete for a customer (rare in healthy teams, common after bad geography design), the rep who last advanced the deal owns it for forecast. Other reps can collaborate without owning. Rule 3: No co-ownership for weighted pipeline If Rep A and Rep B both add themselves to a deal, one is primary, one is secondary. Only the primary is counted in that rep's forecast. Secondary reps see it as "collaborated" or "influenced" but don't double-count the probability. Rule 4: Departures clear old owners within 30 days When a rep leaves, their deals move to a successor or account manager within a month. Don't let legacy reps sit on deals. Write these rules into your CRM playbook or sales operations document. Share them in a team meeting. Let reps ask questions. Your forecast only improves if the team believes the rules make sense. Recalculate weighted probability for each deal Once you've reassigned primary ownership, re-weight each shared deal. Example: Rep A (account owner) and Rep B (implementation specialist) both own a $100K infrastructure deal. Rep A: 70% probability (sales conversation is mature, budget confirmed). Rep B: 50% probability (implementation hasn't started, timeline still loose). Under shared ownership, you'd average them: 60% × $100K = $60K forecast value. Under primary owners