Calculate · Assess & Decide · Analysis & Finance
Partner-sourced vs influenced revenue and lift
Counts and won-revenue split partner-sourced / influenced / no-partner, with the comparative lift (close rate, deal size, days-to-close) of partner deals vs the rest.
You receive: A reviewed attribution calculator + the passing test report, run on your deal records.
Part of Grow Partnerships
Example
A sample of what this play produces. Your result is generated for your inputs.
Counts
- Partner sourced
- 4
- Partner influenced
- 3
- No partner
- 5
- Partner total
- 7
- Rest total
- 5
- Grand total
- 12
Revenue won
- Partner sourced
- 1200
- Partner influenced
- 340
- No partner
- 440
- Partner total
- 1540
- Rest total
- 440
Comparative
- Close rate
- Partner
- 0.8333
- Rest
- 0.6
- Lift pct
- 38.89
- Avg deal size
- Partner
- 308
- Rest
- 146.6667
- Lift pct
- 110
- Avg days to close
- Partner
- 14.8
- Rest
- 31
- Lift pct
- -52.26
Inputs
- Deals
Deal Partner role Stage Amount Days to close Annual pack, 6,000 credits sourced won 240 14 Annual pack, 18,000 credits sourced won 720 21 Annual pack, 6,000 credits sourced won 240 18 Annual pack, 6,000 credits sourced lost 0 Annual pack, 6,000 credits influenced won 240 12 One-time pack, 2,500 credits influenced won 100 9 Annual pack, 6,000 credits influenced evaluating 240 One-time pack, 2,500 credits none won 100 30 Annual pack, 6,000 credits none won 240 28 One-time pack, 2,500 credits none lost 0 One-time pack, 2,500 credits none lost 0 One-time pack, 2,500 credits none won 100 35 - Dual tag precedence
- sourced
- Won stages
- won
- Lost stages
- lost
- Comparative metrics
- close_rate
- avg_deal_size
- avg_days_to_close
Arithmetic recomputed against the tasks.py _attr_reference oracle (compute-partner-attribution), 2026-10-12, on an illustrative launch-quarter pipeline for STUD: 12 prepaid credit pack purchases tagged by whether a launch-community partner sourced or influenced the buyer (amounts are the published pack prices: the 6,000-credit annual pack at $240, the 18,000-credit annual pack at $720, and the 2,500-credit one-time pack at $100). Won revenue: sourced 240+720+240 = 1,200, influenced 240+100 = 340, no-partner 100+240+100 = 440, so the partner cohort carries 1,540 of 1,980 won dollars. Close rate: partner 5 won of 6 decided = 0.8333 vs rest 3 of 5 = 0.6, a 38.89 percent lift. Average deal size: 1540/5 = 308 vs 440/3 = 146.6667, a 110 percent lift. Average days to close: 74/5 = 14.8 vs 93/3 = 31.0, 52.26 percent faster. The open evaluating deal stays in the counts but is excluded from every won-only metric, per the play's convention. All deal records are illustrative; STUD is in a pre-revenue soft launch and the pipeline is a worked example, not reported pack sales.
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies that your deal records are bucketed partner-sourced, partner-influenced, and no-partner exactly per your dual-tag precedence choice, that the counts and closed-won revenue per bucket are right, and that each requested lift metric (close rate over resolved deals, average won deal size, average won days-to-close) compares the partner cohort to the no-partner rest with lift_pct = (partner - rest) / rest x 100, null whenever the baseline is missing or zero. The arithmetic is checked against a hand-written reference on held-out datasets covering dual tags, open deals, missing amounts, custom stage labels, and empty cohorts. STUD does NOT verify that your partner tags are accurate in your CRM, that sourced or influenced was recorded correctly on any deal, or that the observed lift is causal rather than a selection effect.
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