Operating Cadence

Marketing-Sales SLA · The Service-Level Agreement That Fixes Pipeline

The cross-functional service-level agreement (SLA) that gets marketing and sales aligned on lead definitions, handoff timing, follow-up commitments, and shared accountability. The components, the negotiation process, and what good looks like.

Attribution. The Marketing-Sales SLA concept was formalized in HubSpot's sales and marketing playbook (Brian Halligan, Dharmesh Shah, Mike Volpe) and has since become standard B2B operating practice. Sirius Decisions (now Forrester) also contributed extensively to the methodology. This article reviews the practice.

What an SLA solves

The classic B2B failure mode: marketing generates "leads"; sales says the leads are bad and complains they're not following up because they're garbage; marketing says sales is dropping balls and complains the pipeline isn't closing. Both teams are pointing at the other, conversion suffers, and revenue stalls.

A Marketing-Sales SLA is a documented agreement between the two teams that defines lead quality criteria, handoff timing, follow-up commitments, and the metrics each team is accountable for. It moves the conversation from finger-pointing to shared accountability.

The components of a working SLA

  1. Lead definitions. What does an MQL (Marketing Qualified Lead) look like? What does an SQL (Sales Qualified Lead) look like? Where do they diverge?
  2. Marketing's commitment. Specific monthly MQL volume target, by segment, with quality criteria.
  3. Sales' commitment. Specific follow-up SLA (e.g., MQLs followed up within 24 hours), specific outcomes (e.g., SQL conversion rate of X%).
  4. Disposition rules. What sales does with leads that don't qualify (reject with reason, recycle to nurture, request more info).
  5. Shared metrics. The metrics both teams report against — typically pipeline-influenced revenue, not just MQL volume or closed-won.
  6. Review cadence. Weekly tactical, monthly strategic review of the SLA performance and exceptions.

The MQL/SQL definition problem

Most SLAs fail at this step. Marketing defines MQL based on what's easy to measure (filled out a form, downloaded a piece of content). Sales defines SQL based on what they're seeing in their pipeline (intent signals, fit signals, real budget).

The fix: write the definitions together. Marketing and sales leadership in the same room, working through what makes a lead actually likely to close. The output is a definition both teams own.

For more sophisticated programs, lead scoring (numerical thresholds across fit and intent signals) replaces binary MQL/SQL definitions.

The SLA isn't a punishment device. The point is shared accountability, not blame assignment. SLAs that get used to publicly shame teams break trust and lead to gaming. SLAs that get used to surface where the system needs investment work.

Pipeline-influenced revenue as the shared metric

Many programs go beyond MQL volume to track pipeline-influenced revenue: deals that marketing touched at any point along the journey, weighted by influence. This addresses the structural unfairness of last-click attribution that gives all credit to whoever made the final touch.

Modern attribution platforms (LeanData, Bizible (now Adobe), 6sense) calculate pipeline-influenced revenue automatically. The metric becomes the shared scoreboard both teams optimize against.

Common SLA failures

Defining MQL too loosely. Marketing hits the number but the leads don't convert. Sales loses faith.

Defining MQL too tightly. Marketing can't produce enough volume. Pipeline starves.

No real consequences. The SLA is written but no one's comp or planning depends on it. It becomes decorative.

No regular review. Set once, forgotten. Markets and products evolve; SLAs need quarterly revisiting.

Excluding sales operations / RevOps from the conversation. The team that builds the lifecycle infrastructure must be part of the SLA design.

Related on RGM

Sources & further reading
  1. HubSpot — Marketing-Sales SLA playbook. Inbound methodology publications.
  2. Forrester / SiriusDecisions — Demand Waterfall and SLA framework.
  3. LeanData, Bizible (Adobe), 6sense — modern attribution platform documentation.
  4. Halligan, B. & Shah, D. Inbound Marketing (2009, updated). Wiley.
  5. Aaron Ross (Predictable Revenue) on Outbound + SLA mechanics.
  6. RGM operator notes — Marketing-Sales SLA engagements 2023–2026.