What is SLA (Service Level Agreement)?

A Service Level Agreement (SLA) between revenue teams is a written, measurable commitment that defines what each function will deliver and when. Not a vague handshake, but a specific number, a specific timeframe, owned by a specific role.

At a glance

• Used by Marketing, Sales, and Customer Success to set mutual, trackable commitments.
• The most common form is a Marketing-to-Sales agreement covering lead volume and follow-up speed.
• Measured by SLA compliance rate, typically reported weekly inside a CRM.
• Breaks down when the agreement is one-directional or lacks a dedicated reporting owner.
• Requires a baseline before setting targets, otherwise the number becomes decorative.

How do GTM SLAs work in practice?

The most common form is the Marketing-to-Sales SLA. Marketing commits to a volume and quality threshold, for example 60 MQLs per month meeting a defined lead score. Sales commits to a follow-up standard: first contact within 24 hours, three attempts over five business days before disqualifying. Both sides have a number, and both sides can be held to it.

SLAs also exist between Sales and Customer Success. A typical example: Sales agrees to complete a handoff document within 48 hours of a closed deal, and CS agrees to schedule an onboarding call within three business days of receiving it. Without that written agreement, new customers fall into a gap and nobody owns the fault.

Where the SLA lives

The agreement belongs inside your CRM or RevOps tooling as a tracked field, not on a slide in a QBR deck. If you cannot report on SLA compliance weekly, the agreement is decorative.

Why do revenue teams need SLAs?

Speed-to-lead is one of the most documented variables in conversion rates. A 2011 Harvard Business Review study found that responding to a lead within one hour made a company seven times more likely to qualify that lead than responding an hour later. That gap has not closed. SLAs are how you institutionalize the behavior that closes it.

SLAs also cut the blame cycle. When pipeline is thin, Marketing says Sales is not following up, and Sales says the leads are bad. An SLA with compliance data ends that conversation in about 30 seconds. The numbers either show Sales dropped 40% of MQLs without contact, or they show Marketing delivered 20 leads against a 60-lead commitment. Either way, you know where to fix the system.

What are the most common SLA mistakes?

• Defining activity, not outcome. “Sales will attempt contact within 24 hours” is weaker than requiring a logged connected conversation or two documented unreached attempts. Attempts can be faked; logged outcomes are harder to game.
• Setting targets without baseline data. If your average lead response time is 72 hours and you set a 4-hour SLA without changing headcount, routing, or process, you will hit the number for two weeks and then stop measuring it.
• No owner for SLA reporting. Compliance needs a weekly owner, usually in RevOps. If it only surfaces in monthly pipeline reviews, it is already too late to recover that month’s performance.
• One-directional agreements. SLAs placed only on Sales, with no corresponding Marketing commitment, create resentment and do not fix the underlying coordination problem.

How do SLAs connect to adjacent GTM concepts?

SLAs are downstream of your MQL definition. If teams cannot agree on what qualifies as a lead, they cannot agree on how fast to follow up on one. Get the definition right first.

In ABM programs, SLAs take a different shape. Instead of volume commitments, Marketing commits to coverage and engagement metrics within a target account list, and Sales commits to a minimum number of multi-threaded touches per account per month. The spirit is the same; the unit of measurement shifts from leads to accounts.