What is a sales-marketing SLA — and what should be in it?
A sales-marketing SLA is a written, jointly-owned commitment between the two functions that says exactly what marketing will deliver (volume, quality, speed) and exactly what sales will do with it (work it within N hours, mark every lead as contacted or not, qualified or not, with a reason). It lives in a Notion or Google Doc, is co-signed by the VP of Marketing and the VP of Sales with RevOps acting as the steward, and is reviewed every quarter against actual numbers. Without those four ingredients it is not an SLA, it is wishful thinking.
TL;DR
- A real SLA names a number, a quality bar, a speed, and a feedback obligation, not just a vague promise to "deliver good leads."
- The five components that matter are volume by tier, MQL definition, speed-to-touch, disposition feedback, and a quarterly review cadence.
- The single biggest failure mode is letting disposition rate fall below 80 percent. Once sales stops marking leads, the SLA dies and the blame cycle returns.
- Pavilion's 2024 GTM Alignment Survey found that orgs with a documented SLA and 80 percent or higher disposition discipline saw 1.7 times higher MQL-to-opportunity conversion than orgs without one.
- A real SLA is short. Two pages. Anything longer gets ignored.
The 5 SLA Components That Drive Behavior
Most SLAs fail not because the document is wrong but because it is missing one of these five elements. Each one is a behavior contract. Drop one and the entire system leaks.
| Component | Who owns | Target | What breaks if it's missing |
|---|---|---|---|
| Lead volume by tier | VP Marketing | 800 MQLs and 300 SAL-grade per month | Sales pipeline coverage becomes unforecastable, reps complain about dry spells |
| MQL definition (ICP fit, intent score, behavioral trigger) | VP Marketing plus RevOps | Specific, written, auditable criteria | Sales privately rejects MQLs and marketing has no way to argue back with data |
| Speed-to-touch SLA | VP Sales | 5 minutes for high intent, 30 minutes for standard MQL | Inbound conversion drops 8x past the 5-minute mark per the Lead Response Management study |
| Disposition feedback (contacted, qualified, reason) | VP Sales | 90 percent of MQLs dispositioned within 5 business days | Marketing flies blind on quality, scoring models drift, attribution breaks |
| Quarterly review cadence | RevOps as facilitator | One 90-minute meeting per quarter with both VPs | SLA goes stale, numbers drift, blame culture returns by month four |
The volume number is the easiest to write and the easiest to game. Marketing can flood the funnel with low-quality MQLs to hit the count, which is why the MQL definition has to be precise and co-authored. A real definition reads like: "ICP fit score 70 or higher AND intent score 60 or higher AND at least one behavioral trigger from the high-intent list (pricing page view, demo request, repeat visit within 7 days)." Vague definitions like "shows buying intent" are the reason sales reps stop trusting MQLs.
The 3 Failure Modes That Kill SLAs Within 2 Quarters
The first failure mode is the disposition gap. The SLA exists, marketing is delivering the volume, but sales is only marking 30 percent of leads as contacted or qualified. Without disposition data, every conversation degenerates into anecdote. The AE remembers two bad leads from last week and decides the whole batch is junk. Marketing has no defense because no one logged what actually happened. Disposition rate is the single leading indicator of SLA health. If it drops below 80 percent, the SLA is functionally dead even if the document still exists.
The second failure mode is the hidden MQL definition. The MQL criteria live inside the marketing ops team's scoring model in HubSpot or Marketo, not inside the SLA doc. Sales has no visibility into why a lead crossed the threshold. When a rep gets a bad lead, they cannot audit the logic, so they assume the logic is broken. The fix is mechanical: copy the exact scoring rubric into the SLA doc as plain English, list the behavioral triggers, list the disqualifiers, and require both VPs to sign off on changes.
The third failure mode is the missing quarterly review. Without a recurring forum where both leaders look at the numbers together, drift compounds. Volume targets stay stuck at last year's plan even though the company has grown. Speed-to-touch targets get ignored once SDR headcount is cut. Disposition rates slide. By month four of an unreviewed SLA, sales and marketing are back to blaming each other in Slack, and the SLA doc is a dead artifact on a shared drive that no one opens.
A $40M ARR cybersecurity company hit all three of these failure modes simultaneously in 2023. Their original SLA was written in 2021, ran six pages, and nobody on the current sales team had read it. RevOps rewrote it in two pages: 700 MQLs per month, 250 SAL-grade, 5-minute SLA on hot inbound, 30-minute SLA on standard MQL, mandatory disposition with a five-option dropdown (contacted-qualified, contacted-not-qualified, uncontactable, wrong-fit, duplicate). Within two quarters, MQL-to-opportunity conversion climbed from 12 percent to 19 percent. Nothing about the leads changed. The only change was discipline.
The Disposition Feedback Loop (the gate that keeps sales honest)
Disposition feedback is the unglamorous mechanic that makes every other part of the SLA work. It is the gate where sales tells marketing, in structured data rather than Slack vibes, what happened to each lead. Without it, the SLA collapses into a one-way commitment where marketing is accountable for numbers and sales is accountable for nothing.
A working disposition loop has four ingredients. First, a required CRM field with a constrained dropdown — contacted-qualified, contacted-not-qualified-with-reason, uncontactable-after-N-attempts, duplicate, or wrong-fit. Free-text fields are ignored. Second, a workflow rule that fires the field as required on every MQL handed off, with a 5-business-day window. Third, a weekly dashboard in Sigma, Looker, or Salesforce reports showing disposition rate by SDR, by AE, and by source. Fourth, a manager-level conversation that treats disposition rate as a performance metric, not a clerical chore.
HubSpot ships a clean MQL workflow that hooks into Salesforce custom fields for this purpose, and most RevOps teams build the SLA-attainment dashboard in Sigma or Looker on top of the underlying CRM data. The tooling is not the hard part. The hard part is the management commitment that says: a rep who closes deals but does not disposition leads is not in compliance, and that gets surfaced in the QBR.
Related on PULSE
- [How do you measure sales-marketing alignment in a way that's actually actionable, not just dashboarded?](/knowledge/q205)
- [Does the proliferation of buying committee members require a new SLA between marketing and sales for handoffs?](/knowledge/q16559)
- [What is the correct SLA for returning a buying committee’s AI-generated RFP in the current 2027 climate?](/knowledge/q16301)
- [How Do I Design a Lead-Routing SLA Across Global Time Zones in 2027?](/knowledge/q16225)
- [How do you set up a lead lifecycle SLA between marketing and sales in 2027?](/knowledge/q16199)
- [How do you run a marketing-ops lead lifecycle SLA between marketing and sales in 2027?](/knowledge/q16189)
Common SLA Breakdowns (and How to Fix Them)
Even a well-designed SLA can fail in practice. The most frequent breakdown? Marketing hits lead volume targets, but sales claims the leads are "low quality." This usually happens because the SLA defines lead quality only by firmographic criteria (company size, industry, title) without incorporating behavioral signals (downloads, webinar attendance, product demo requests). A fix that works for many B2B teams is to add a "lead scoring floor" — for example, a lead must reach a minimum score of 25 (on a 0–100 scale) before it counts toward marketing's volume target. Another common breakdown is the "black hole" where sales receives leads but never updates their status in the CRM. To prevent this, include a mandatory field in your SLA: "Disposition Reason" with options like "Not a fit," "No budget," "Wrong timing," or "Already a customer." If a lead is not dispositioned within 48 hours, it automatically returns to marketing for re-nurture. A third breakdown occurs when the SLA is reviewed only annually — by then, the market has shifted and the targets are irrelevant. The fix is a quarterly SLA review with a "three strikes" rule: if any metric is missed for three consecutive months, the SLA is automatically renegotiated.
SLA Metrics That Actually Predict Revenue
Not all SLA metrics are created equal. The most common mistake is tracking only lead volume (e.g., "marketing delivers 500 MQLs per month") without connecting that number to pipeline and closed-won revenue. Instead, focus on a small set of predictive metrics. First, Marketing Qualified Lead (MQL) to Sales Accepted Lead (SAL) conversion rate — a healthy rate is typically between 30% and 50%. Below 30% suggests marketing is sending unqualified leads; above 50% suggests marketing is being too conservative. Second, SAL to Sales Qualified Lead (SQL) conversion rate — this should be in the 40% to 60% range. Third, time-to-connect — how quickly does sales reach out after a lead is assigned? Best-in-class teams aim for under 5 minutes for inbound leads and under 30 minutes for outbound leads. Fourth, lead-to-pipeline conversion rate — the percentage of leads that eventually create pipeline. A benchmark range is 10% to 20% for B2B. Fifth, pipeline-to-closed-won conversion rate — typically 20% to 30%. By tracking these five metrics, you create a clear chain from marketing activity to revenue, and both teams can see exactly where the funnel breaks.
How to Renegotiate Your SLA Without Blame
When an SLA isn't working, the natural instinct is to point fingers. Marketing says sales isn't following up; sales says marketing sends junk. A better approach is a structured renegotiation process that treats the SLA as a living document rather than a weapon. Start with data: pull the last 90 days of lead activity and pipeline creation. Look for patterns — for example, if 60% of leads are never contacted, the problem is sales follow-up, not lead quality. If 70% of contacted leads are marked "not a fit," the problem is lead qualification criteria. Next, hold a joint meeting where both teams share their top three frustrations and their top three wins. The goal is to find common ground — for instance, both teams likely agree that faster response times are better. Then, propose one or two SLA changes as an experiment for 30 days. For example, reduce marketing's lead volume target by 20% but increase the lead score threshold by 10 points. Or require sales to contact every lead within 1 hour during business hours. After 30 days, review the experiment's impact on pipeline and closed-won revenue. If it works, make it permanent. If not, try a different adjustment. The key is to frame every change as a test, not a permanent contract — this reduces defensiveness and keeps both teams focused on what actually drives revenue.
FAQ
What’s the difference between an SLA and a simple handshake agreement? A handshake lacks written specifics on volume, timing, and feedback loops. An SLA forces both teams to commit to measurable targets — like marketing delivering a minimum number of qualified leads per week and sales contacting them within a set window — and includes a quarterly review to adjust when reality doesn’t match the plan.
How often should the SLA be updated? Most teams review and revise the SLA every quarter, aligning it with actual performance data and shifting business goals. Annual updates are too infrequent for fast-changing markets, while monthly changes can create instability.
Who owns the SLA within the organization? Revenue Operations (RevOps) typically acts as the steward, but the SLA is co-signed by the VP of Marketing and the VP of Sales. This shared ownership ensures both functions have equal accountability and a single point of escalation when metrics slip.
What happens if one side consistently misses its SLA targets? The quarterly review is the moment to diagnose the root cause — maybe marketing’s lead volume is unrealistic, or sales isn’t following up fast enough. The SLA should include a remediation process, such as adjusting targets or adding training, rather than assigning blame.
Can a small business with a lean team benefit from an SLA? Yes, even a two-person marketing and sales team can use a simple SLA to clarify expectations — for example, “Marketing will send 20 qualified leads per week, and sales will call each within 4 hours.” The structure prevents confusion and builds trust as the team grows.
What’s the most common mistake when creating a sales-marketing SLA? Making it a one-sided document that only holds marketing accountable for lead volume while ignoring sales’ response-time obligations. A true SLA must include mutual commitments — like marketing’s lead quality threshold and sales’ follow-up speed — with clear consequences for both sides.
Sources
- Pavilion. 2024 GTM Alignment Survey. https://www.joinpavilion.com/resources
- Forrester (formerly SiriusDecisions). Demand Waterfall framework. https://www.forrester.com/research/
- HubSpot. Service Level Agreement (SLA) Marketing and Sales Template. https://www.hubspot.com/sales-marketing-sla-template
- Sales Hacker. How to Build a Sales and Marketing SLA That Actually Works. https://www.saleshacker.com/sales-marketing-sla/
- OpenView Partners. RevOps Benchmarks Report 2024. https://openviewpartners.com/blog/
- Lead Response Management Study (Oldroyd, MIT). Speed-to-lead conversion curves. https://www.leadresponsemanagement.org/
- Salesforce. State of Sales 2024 — buyer-seller alignment metrics. https://www.salesforce.com/resources/research-reports/state-of-sales/
- Gartner. B2B Buying Journey research, marketing-to-sales handoff friction data. https://www.gartner.com/en/sales/insights/b2b-buying-journey