Marketing and Sales SLA Template: How to End the Lead Quality Fight for Good

Every B2B company with separate marketing and sales teams has some version of the same fight. Marketing says: “We’re generating leads. Sales isn’t following up.” Sales says: “The leads are garbage. Marketing doesn’t understand what we need.” Both sides have data to support their position. Neither side has a shared definition of what “qualified” means, what “follow-up” looks like, or who’s accountable when pipeline falls short.

You can’t fix this with a team lunch, a joint kickoff, or a motivational talk about alignment. You fix it with a written agreement that defines exactly what marketing will deliver, exactly what sales will do with it, and exactly how both teams will measure whether the system is working.

That agreement is a Service Level Agreement. Here’s what goes in it, how to roll it out, and a sample you can adapt for your own business.

What an SLA actually is

A marketing-sales SLA is a one-to-two-page document that makes three things explicit:

What marketing commits to deliver. Lead volume, quality criteria, and source mix. This removes the ambiguity of “we’re generating leads” by defining how many, at what quality threshold, through which channels.

What sales commits to do with it. Response time, follow-up process, and disposition logging. This removes the ambiguity of “we’re following up” by defining how fast, how many attempts, and what happens to leads that don’t convert.

How both teams measure success together. Shared metrics, reviewed at a regular cadence, with both teams accountable to the same pipeline and revenue outcomes.

An SLA is not a power move by marketing to force sales into compliance, or vice versa. It’s a mutual commitment. If either side treats it as a weapon, it fails. If both sides treat it as a contract with the shared goal of producing revenue, it works.

The 6 elements of a working SLA

1. Lead definitions

The single most important section. If marketing and sales define “qualified lead” differently, every metric downstream is unreliable.

Define each stage explicitly:

Raw lead. Any person who provides contact information: form fill, event registration, badge scan, chatbot conversation. No quality filter applied. These are not handed to sales.

Marketing Qualified Lead (MQL). A lead that meets both demographic and behavioral criteria.

• Demographic: matches ICP on title (manager+), company size (50–500 employees), industry (target verticals), and geography (serviceable markets).
• Behavioral: has taken a high-intent action — visited the pricing page, requested a demo, downloaded a bottom-of-funnel asset, or attended a product-focused webinar.

Both conditions must be met. A VP at a target company who downloaded a top-of-funnel blog post is not an MQL. A junior coordinator who requested a demo is not an MQL. The threshold has to be specific enough that both teams can point to the same criteria and agree on whether a lead qualifies.

Sales Qualified Lead (SQL). An MQL that sales has contacted, confirmed fit through a conversation, and accepted as worth pursuing. The acceptance is logged in the CRM with a date and a disposition.

Opportunity. An SQL where the buyer has confirmed budget, authority, a real need, and a timeline (or your equivalent qualification framework). This is the point where the lead becomes a pipeline deal with a forecasted close date.

2. Volume commitments from marketing

Marketing commits to a monthly MQL target based on pipeline goals, working backward from revenue.

Example: if the company needs $3M in new pipeline per quarter to hit revenue targets, and average deal size is $75K, that’s 40 opportunities needed per quarter. If 30% of SQLs become opportunities and 40% of MQLs become SQLs, marketing needs to deliver approximately 330 MQLs per quarter, or 110 per month.

The SLA states the number. Not a range. Not “we’ll try.” A specific monthly target that marketing is accountable for, adjusted quarterly based on conversion rate data.

Optionally, include source mix targets: “50% from organic and content, 30% from paid channels, 20% from events and partnerships.” This prevents over-reliance on a single channel and gives both teams visibility into where pipeline is coming from.

3. Response-time commitments from sales

Sales commits to contacting every MQL within a defined window. Research consistently shows that response time is the single strongest predictor of lead-to-opportunity conversion in B2B. A lead contacted within an hour is seven times more likely to become an opportunity than one contacted after 24 hours.

Standard commitments:

• Initial contact within 4 business hours of MQL notification. Not 4 days. Not “by end of week.” Four hours.
• Minimum of 4 contact attempts over 10 business days before recycling a non-responsive lead. Multi-channel attempts (email, phone, LinkedIn) count separately.
• Disposition logged in the CRM within 2 business days of final contact attempt. Every MQL gets a disposition: accepted (becomes SQL), rejected (with reason), or recycled (back to marketing for nurture).

If sales can’t meet the 4-hour SLA across all MQLs, prioritize by lead score or source quality. Hot demo requests get the fastest response. Content-driven MQLs get a same-day follow-up.

4. Lead scoring criteria

The SLA should include or reference the scoring model that determines when a lead crosses the MQL threshold. Keep it simple enough that both teams can explain it.

A workable mid-market scoring model:

Demographic score (0–50 points):

• Title matches ICP buyer profile: +20
• Company size within target range: +15
• Industry in target vertical: +10
• Geography in serviceable market: +5

Behavioral score (0–50 points):

• Requested demo or pricing: +25
• Visited pricing or product page (2+ times): +15
• Downloaded bottom-of-funnel content: +10
• Attended product webinar: +10
• Opened 3+ emails in nurture sequence: +5

MQL threshold: 50 points (requires a mix of demographic fit and behavioral intent).

The scores and thresholds will need adjustment after the first quarter based on actual conversion data. That’s expected. The starting model doesn’t need to be perfect. It needs to exist.

5. Recycle and nurture-back rules

Not every MQL is ready to buy right now. The SLA needs a path for leads that aren’t ready, so they stay in the system instead of disappearing.

When sales rejects an MQL, they must select a reason from a predefined list:

• Not a fit (wrong company size, industry, or title)
• Not ready (right fit, wrong timing)
• Duplicate or bad data
• Unable to reach after 4 attempts

“Not a fit” leads get removed from the MQL pool and flagged for marketing to review ICP targeting. “Not ready” leads go back to marketing for continued nurture. When a recycled lead crosses the MQL threshold again (new high-intent behavior), it re-enters the sales queue as a re-qualified MQL.

This recycle loop is where a significant percentage of eventually-closed revenue lives. Leads that weren’t ready in Q1 may be ready in Q3. Without a recycle path, those leads are lost forever.

6. Joint metrics and review cadence

The SLA is only useful if both teams review performance against it regularly. Build three review cycles:

Weekly (15 minutes). Marketing reports MQL volume against target. Sales reports response-time compliance and early dispositions. Flag any immediate issues (lead quality drop, response time spike, CRM logging gaps).

Monthly (30 minutes). Full-month review: MQLs delivered vs target, acceptance rate (what percentage sales accepted as SQLs), average response time, pipeline created from marketing-sourced leads. Identify trends and make tactical adjustments.

Quarterly (60 minutes). Deep review: MQL-to-SQL conversion rate, SQL-to-opportunity rate, revenue from marketing-sourced pipeline, SLA compliance on both sides. Revise the SLA if needed: adjust MQL targets, recalibrate scoring, update definitions.

Sample SLA template

Below is a condensed version you can adapt. The downloadable template at the end of this article includes the full version with scoring tables and CRM workflow documentation.

Marketing and Sales Service Level Agreement

Effective: [Date] | Review cadence: Quarterly | Owners: [VP Marketing] and [VP Sales]

Definitions

• MQL: Lead scoring ≥50 points (demographic fit + behavioral intent). See attached scoring model.
• SQL: MQL contacted by sales, confirmed fit, accepted in CRM.
• Opportunity: SQL with confirmed budget, authority, need, and timeline.

Marketing commitments

• Deliver [110] MQLs per month meeting the defined scoring criteria.
• Maintain MQL source mix: [50%] organic/content, [30%] paid, [20%] events/partnerships.
• Ensure [80%]+ of MQLs match ICP demographic criteria.

Sales commitments

• Contact every MQL within [4] business hours of notification.
• Make minimum [4] contact attempts over [10] business days before recycling.
• Log disposition in CRM within [2] business days: accepted, rejected (with reason), or recycled.

Recycle rules

• “Not ready” MQLs return to marketing nurture and re-enter the queue on re-qualification.
• “Not a fit” MQLs flagged for marketing review of targeting criteria.

Joint metrics

• Weekly: MQL volume, response time compliance
• Monthly: Acceptance rate, pipeline created
• Quarterly: Full-funnel conversion, revenue attribution, SLA revision

Signatures [VP Marketing] _________________ Date: _______ [VP Sales] _________________ Date: _______

How to roll out an SLA in 30 days

Week 1: Draft. Marketing leader and sales leader co-write the SLA. Both sides must author it together. If marketing hands sales a finished document, it’s dead on arrival.

Week 2: Feedback. Share the draft with frontline team members on both sides. Sales reps and marketing coordinators will spot practical problems that leadership missed. Revise based on feedback.

Week 3: Launch. Present the SLA in a joint meeting with both teams. Walk through every section. Answer questions. Configure CRM workflows: MQL notifications, response-time tracking, disposition fields, recycle triggers. The purpose of building the right team is partly so that this kind of process has people to own it.

Week 4: First check-in. Run the first weekly review. Identify gaps in CRM logging, response-time compliance, and lead quality. Adjust immediately. The first month is calibration, not perfection.

Common SLA mistakes that doom adoption

Making it too complex. The SLA should fit on one to two pages. If it’s a 15-page document with exception matrices and escalation tiers, nobody will read it, reference it, or follow it.

One-sided obligations. If the SLA only specifies what marketing must deliver with no commitments from sales, it’s not an SLA — it’s a service request. Both sides must have accountabilities.

No enforcement mechanism. An SLA without consequences is a suggestion. If sales consistently misses response-time SLAs, there should be a conversation with the CRO. If marketing consistently under-delivers on MQL volume, there should be a conversation with the CMO. The quarterly review is the enforcement mechanism.

Not updating quarterly. The SLA you write in January won’t be perfect. Conversion rates, lead definitions, and volume targets all need recalibration based on real data. A stale SLA is worse than no SLA because it creates false confidence that alignment exists.

Launching without executive sponsorship. If the CEO or CRO hasn’t endorsed the SLA, the first time a senior sales rep ignores the response-time commitment, nothing happens. Executive sponsorship is what gives the SLA teeth. This connects to the broader challenge of improving team productivity — alignment isn’t just a marketing problem, it’s an organizational one.

Download the template

The sample above is the framework. The downloadable template includes the full SLA document with the lead scoring model, CRM workflow documentation, the quarterly review agenda, and a pre-built dashboard template for tracking compliance.

Download the Marketing-Sales SLA Template — one form, instant access.
If you’re building an SLA for the first time and want a sounding board on lead definitions, scoring thresholds, or volume targets, let’s talk strategy. We’ve built these for dozens of B2B companies and can help you get it right on the first pass instead of the third.