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Should I pay SDRs on demos booked or only on demos held + qualified?

4/30/2024

Pay on demos held + AE-accepted, not booked. A demo "booked" is calendar entropy; a demo "held + qualified" is pipeline. Paying on the booking event rewards calendar spam and gaming (slots booked Friday at 4pm with prospects who never planned to show), while paying on the held + AQL event forces SDRs to confirm, prep, and sell the meeting itself. The aggregate industry data is unambiguous on this — and the dollar math gets worse the bigger you scale a "booked-only" plan.

The Sourced Reality (2024-2026 Benchmark Data — Verified Numbers):

The Dollar Math: Booked vs. Held vs. Held+Qualified

Plan A — Booked-Only ($20/booked):

Plan B — Held-Only ($28/held):

Plan C — Held + AQL Waterfall ($12 held + $25 AQL):

Plan C beats Plan A by 36% lower cost-per-AQL and produces 87% more qualified pipeline for similar SDR earnings. This is the Bridge Group / RepVue consensus design.

Bear Case — When Booked-Only IS Correct

Booked-only is the right call in three narrow scenarios — don't be dogmatic:

  1. Cold-market launch (months 0–6): You don't have an AQL definition yet because the AE team is also new and the ICP is still being discovered. Paying on AQL when "qualified" hasn't been operationalized creates a feedback loop of arbitrary AE rejection ("not qualified" = "I didn't like the call"). Use booked-only with a 30-day sunset clause until you have ≥50 AE-accepted demos to back out a real AQL definition.
  2. Brand-building / category creation: If your real goal is logos-on-screen and analyst conversations (e.g., a Series A trying to get on Gartner's radar), demo *volume* itself has signaling value. Booked-only is acceptable when the demos themselves — held or not — are the marketing budget.
  3. BDR coverage gap: When AEs are over-capacity and rejecting marginal demos to protect their close rate, an AQL-tied plan punishes SDRs for AE selectivity they don't control. Pay on booked with a 60-day clawback for verified no-shows. Switch back to held+AQL once AE capacity normalizes.

Outside these three: held + qualified wins. The Bridge Group / Pavilion data is overwhelming. Counter-argument acknowledged: Some sales leaders argue booked-only protects SDR morale during ramp — fair point, but solve that with a 60-day ramp grace period, not a permanent plan structure.

The Multi-Stage Waterfall (Recommended Default)

Tier 1 — Demo Held ($10–$15)

Tier 2 — AQL Accepted ($15–$25)

Tier 3 — SQL → Opportunity ($25–$50 SPIFF)

Comp Plan Template ($79,500 OTE SDR — RepVue 2025 median):

ComponentRateMonthly TargetMonthly Comp
Base salary$47,700/yr$3,975
Demo Held$13/held40 held$520
AQL Accepted$22/AQL28 AQL$616
SQL → Oppty SPIFF$40/SQL8 SQL$320
Total Monthly$5,431
Annualized$65,170 + base = $112,870 stretch / $79,500 at-plan

The No-Show Clawback (Critical Detail)

Without a clawback, "held" can be gamed via AE no-shows that the SDR caused. Standard mechanic:

$/SAL vs $/SQL — The Real Efficiency Lens

Stop measuring SDR cost-per-meeting. Measure cost-per-stage:

Cross-References (Pulse Knowledge Library)

flowchart LR A[SDR Prospect] --> B[Discovery Call 1] B --> C{Qualified?} C -->|No| D[Reject] C -->|Yes| E[Discovery Call 2] E --> F[Set Demo] F --> G["Demo Booked<br/>SDR: $0"] G --> H[Demo Held] H --> I["Demo Held<br/>SDR: $13"] I --> J{AE Accepts?} J -->|No| K[Bounce] J -->|Yes| L["AQL Qualified<br/>SDR: $22"] L --> M{SQL → Oppty?} M -->|Yes| N["SPIFF: $40"] M -->|No| O[Wait]

Bottom Line

For 95% of post-Series-A B2B SaaS: pay $13 held + $22 AQL with a -$10 no-show clawback and an optional $40 SQL SPIFF. The Bridge Group, RepVue, Pavilion, Apollo, and SaaStr data all converge on this design. Booked-only survives only in cold-market launches, brand-driven plays, and AE-capacity crunches — and even then with a hard sunset.

TAGS: comp,sdr,demos,metrics,lead-quality

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