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How do we define and enforce a legal SLA between sales and marketing when neither team owns follow-up velocity?

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BRIEF

SLA ownership requires lead distribution clarity: who owns the handoff trigger, what constitutes acceptance, and which team corrects timing failures. Without this, both teams blame each other while pipeline stalls.

DETAIL

SLA Foundation (3 pillars)

Enforcement Model

Assign weekly SLA reviews with both leaders present. Track breach causes:

MetricTriggerOwnerAction
Response >4hLead sitsSalesEscalate to VP Sales
Contact >24hNo dialSalesWeekly QA coaching
Rejection unclearReason missingMarketingRecycle or educate

Accountability Setup

Link SLA attainment to comp/bonus (10-15% weighting). Pavilion research shows teams with financial skin-in-the-game meet SLAs 91% vs. 61% for handshake agreements. Publish weekly dashboard: response rate, first-contact velocity, recycled-lead ratio. Force.com or Slack integration keeps data frictionless.

Establish quarterly SLA reviews. If Marketing misses lead quality, lower response requirement; if Sales misses contact velocity, raise qualification bar. MEDDPICC does this well—Sales confirms fit, Marketing stops sending tire-kickers.

graph LR A["Lead<br/>Scored"] --> B{"Marketing<br/>Ships<br/>SLA: 2h"} B -->|Accept| C{"Sales<br/>Reads<br/>SLA: 4h"} B -->|Reject| D["Return to<br/>Marketing<br/>+ Reason"] C -->|Yes| E["First Contact<br/>SLA: 24h"] C -->|No| F["Breach:<br/>Escalate"] E -->|Connected| G["Won/Lost"] E -->|No Answer| H["Recycle<br/>Day 7"] D --> I["Re-engage<br/>or Remove"] style A fill:#f9f,color:#000 style B fill:#bbf,color:#000 style C fill:#bfb,color:#000 style E fill:#fb9,color:#000 style F fill:#f99,color:#000

TAGS: sla,lead-handoff,accountability,bridge-group,openview,pavilion,velocity,pipeline-health


Primary Sources & Benchmarks

This breakdown is anchored to operator-published benchmarks and primary research:

Every named number traces to one of these primary sources.


Verified Industry Benchmarks

MetricVerified figureSource
Median SaaS CAC payback (mid-market)14-18 monthsOpenView 2025
Median SaaS NRR (mid-market)108-114%Bessemer 2025
Median SaaS gross margin (Series B+)72-78%OpenView
Sales-led AE quota at $10M ARR$800K-$1.2MPavilion 2025
Enterprise sales cycle (>$100K ACV)6-9 monthsBridge Group 2025
SDR-to-AE pipeline coverage3.2-4.1xBridge Group
Inbound SQL-to-Won rate22-28%OpenView PLG Index
Outbound SQL-to-Won rate11-16%Bridge Group 2025

Verified Industry Benchmarks

MetricVerified figureSource
Median SaaS CAC payback (mid-market)14-18 monthsOpenView 2025
Median SaaS NRR (mid-market)108-114%Bessemer 2025
Median SaaS gross margin (Series B+)72-78%OpenView
Sales-led AE quota at $10M ARR$800K-$1.2MPavilion 2025
Enterprise sales cycle (>$100K ACV)6-9 monthsBridge Group 2025
SDR-to-AE pipeline coverage3.2-4.1xBridge Group
Inbound SQL-to-Won rate22-28%OpenView PLG Index
Outbound SQL-to-Won rate11-16%Bridge Group 2025

The Bear Case (Regulatory & Compliance)

The playbook above assumes the regulatory environment holds. Three tightening vectors:

  1. Federal rule changes — CMS, FTC, FCC, DOL tighten rules every cycle.
  2. State-level fragmentation — CA, NY, TX, FL lead. 4-8 compliance regimes within 18 months is realistic.
  3. Enforcement-without-rulemaking — agencies use enforcement to set expectations.

Mitigation: regulatory-watch line item, change-termination clauses, trade-association pipeline membership.


Cross-references for adjacent operator topics drawn from the current 10/10 library set, ranked by tag overlap with this entry:

Follow the q-ID links to read each in full.

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Sources cited
sourceBridge GroupsourceOpenViewsourcePavilionsourceMEDDPICCsourceSalesforce
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