Sales and marketing alignment for SaaS
How to write a marketing and sales SLA: lead definitions, follow up windows, routing, recycling rules, shared pipeline targets and a review meeting that sticks.
On this page 10 sections
- Why do most alignment efforts fail?
- What definitions have to be agreed in writing?
- What does marketing commit to?
- What does sales commit to?
- How should routing and recycling work?
- How do you set one shared pipeline target?
- What goes in the weekly review?
- The parts nobody writes down
- What this costs and where it fails
- Get it signed this month
- Frequently asked questions
The short answer
Sales and marketing alignment in SaaS is a written contract with numbers in it, not a culture initiative. It defines lead stages in shared language, commits marketing to a volume and quality target, commits sales to a follow up window and attempt count, sets routing and recycling rules for rejected leads, splits one pipeline number between both teams, and names a single person who arbitrates disputes. Without those five parts it is a poster, not an agreement.
Key points before you start
Alignment workshops do not fix alignment. What fixes it is a document with numbers in it that both leaders sign, and a weekly meeting where those numbers get read aloud in front of people.
Below is the contract. Copy the structure, change the numbers, and get it signed before the next quarter starts.
Why do most alignment efforts fail?
Because they treat a definitional problem as a relationship problem. Marketing says it delivered 420 qualified leads. Sales says it got maybe 90 worth calling. Both are telling the truth, and no amount of shared offsites resolves it, because the word qualified is doing different work in each sentence.
The second reason is one sided accountability. Nearly every SLA I have read commits marketing to a lead number and commits sales to nothing. Then leads sit untouched for two days and marketing has no grounds to complain, because the document never said sales owed anything.
The tell that your SLA is decorative
If the document does not contain a follow up time in minutes and an attempt count, sales has not actually agreed to anything. Go back and add both before you circulate it again.
What definitions have to be agreed in writing?
Five, and they have to be written as tests a person or a system can apply, not as adjectives.
| Term | Bad definition | Workable definition |
|---|---|---|
| Lead | Someone interested in our product | Any known contact record with an email address and a source |
| Qualified lead | A lead that is a good fit | Company size 50-2,000, one of six target titles, and one of four high intent actions in the last 21 days |
| Opportunity | Sales thinks it might close | Discovery call held, budget owner identified, and a next step booked in the calendar |
| Sourced | Marketing brought it | First known touch on the account was a marketing owned surface, and no prior sales activity exists on the account |
| Influenced | Marketing helped | At least two marketing touches on any contact at the account within the 90 days before opportunity creation |
The sourced and influenced rows cause the most argument, so settle them by writing the SQL query, literally. If two people cannot agree what query returns the sourced number, the definition is not finished. That exercise also exposes gaps in your attribution model that no amount of discussion would surface.
Worth noting: MQL as a term has aged badly, and plenty of teams have retired it. Retiring the acronym without replacing the underlying definition just moves the argument to a new word. Keep the test, rename the label if you want.
What does marketing commit to?
Two numbers and one process obligation.
Volume: a monthly count of qualified leads, expressed as a range rather than a point. “180 to 220 qualified leads per month, measured on the last business day” is defensible. A single number invites a miss by two and an argument about it.
Quality: an accept rate floor. If sales accepts fewer than, say, 70 percent of what marketing sends, marketing is over-delivering on volume at the expense of fit and the volume commitment drops until the rate recovers. This clause is the one that stops the MQL-stuffing behaviour everyone complains about.
Process: complete records. Every routed lead arrives with company, title, source, the triggering action and a timestamp. A lead missing two of those fields does not count toward the volume commitment. That single clause does more for data hygiene than any enrichment tool.
70%
Minimum sales accept rate below which marketing's volume commitment is reduced
Common SLA design in B2B SaaS
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Save an editable working copy of the framework on this page. Add your own owners, evidence and decisions.
What does sales commit to?
Speed, persistence and feedback. In that order of importance.
Speed to lead is the most replicated finding in B2B inbound. Research from InsideSales and the well known Harvard Business Review study on lead response found contact and qualification rates falling sharply within the first hour, with the steepest fall in the first few minutes. The practical version: a demo request that gets a call in five minutes converts several times better than the same request called in an hour.
| Lead type | First response window | Minimum attempts | Channels | Timeout to recycle |
|---|---|---|---|---|
| Demo request | 5 minutes, business hours | 6 over 10 business days | Call, email, LinkedIn | 10 business days |
| Pricing page enquiry | 15 minutes | 6 over 10 business days | Call, email | 10 business days |
| Free trial, target account | 1 business hour | 4 over 14 days | Email, call | 14 days |
| Content download, target account | 1 business day | 3 over 21 days | Email, LinkedIn | 21 days |
| Event scan | 2 business days | 4 over 14 days | Email, call | 14 days |
Six attempts over ten business days sounds aggressive until you look at your own connect data. Most reps stop at two. The gap between two attempts and six is usually larger than any improvement marketing can make to lead quality in the same quarter.
Measure compliance, not intention
Report follow up compliance weekly by rep as a percentage of leads touched inside the window. Not an average response time, which one fast response can rescue. The percentage is the number that changes behaviour.
Feedback is the third commitment. Every rejected lead gets a code. No code, no rejection.
How should routing and recycling work?
Routing is mechanical and should be invisible when it works. The rules that matter are the edge cases.
Round robin within territory, with capacity caps so one rep does not receive 40 leads on a Monday. Instant scheduling for demo requests, through Chili Piper or an equivalent, because handing the prospect a calendar removes the response time problem entirely for the highest intent segment. Holiday and PTO coverage written into the rules rather than handled by someone noticing.
The genuinely important part is what happens to the leads sales says no to. Use a fixed list of reason codes, six or seven maximum:
- Wrong company size
- Wrong persona or role
- No budget or authority this cycle
- Timing, revisit in a named month
- Competitor or student or job seeker
- Bad data, could not contact
- Already an open opportunity elsewhere
Each code routes somewhere specific. Timing goes to nurture with a re-entry date and reappears automatically. Wrong persona triggers a look at whether that persona should even be targeted, which is a campaign question rather than a lead question. Bad data goes to operations with a weekly count, and if that count rises above 5 percent something upstream broke.
What the codes actually buy you
One team found 31 percent of rejections were coded ‘wrong company size’ and traced it to a single paid social campaign with no company size targeting. Two hours of work removed a third of the rejections. Without codes that pattern is invisible and the conversation stays at ‘your leads are bad’.
The mechanics of building this handoff end to end, including the CRM object model, are in the marketing to sales handoff playbook.
How do you set one shared pipeline target?
Start from bookings, work backwards through the funnel, then split the pipeline number by source rather than giving each team a different metric.
Worked example for a company with a $28k average contract value and a $6M new bookings target:
| Step | Calculation | Result |
|---|---|---|
| New bookings target | Given | $6.0M |
| Deals needed | $6.0M / $28k ACV | 214 |
| Pipeline needed at 22% win rate | 214 / 0.22, times $28k | $27.3M |
| Coverage factor for slippage | Times 1.15 | $31.4M |
| Marketing sourced share, 55% | $31.4M x 0.55 | $17.3M |
| Sales sourced share, 45% | $31.4M x 0.45 | $14.1M |
| Marketing monthly pipeline target | $17.3M / 12 | ~$1.44M |
Both teams now look at one table. Marketing’s number is a pipeline number, not a lead number, which means marketing has a reason to care whether the leads convert. Sales has a sourced target of its own, which removes the standing complaint that outbound gets no credit.
Keep an eye on pipeline velocity alongside the coverage number. Coverage can look healthy while deals age out, and velocity is the metric that catches it early.
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What goes in the weekly review?
Twenty five minutes, four numbers, same order every week. If it takes longer, you have turned it into a pipeline review, which is a different meeting.
The weekly alignment review
- Volume against commitment
Qualified leads delivered week to date versus the monthly pro rata. Marketing reads this number aloud.
- Accept rate
Share of routed leads accepted. Below the floor, marketing explains what it is changing this week.
- Follow up compliance by rep
Percentage of leads touched inside the window, named by rep. Sales leadership reads this one.
- Rejection reasons, top three
Counts by code for the week, with a one line note on anything that moved.
- Pipeline created against target
Marketing sourced and sales sourced, week to date against the monthly split.
- One open dispute, decided
Anything unresolved goes to the named arbitrator with a 48 hour clock. Nothing carries over twice.
The monthly version adds cohort quality: of the leads routed 60 days ago, how many became opportunities. That lag makes it useless weekly and valuable monthly, and it is the number that tells you whether the accept rate is measuring anything real.
The parts nobody writes down
Three clauses that prevent the most common breakdowns.
Name the arbitrator. One person, named in the document, with authority to decide a dispute inside 48 hours, binding until the quarterly review. Usually revenue operations. Without this, disputes escalate to whoever has the CEO’s ear, which corrodes trust faster than any bad lead.
Set a change window. Definitions and thresholds change quarterly, on a date, not whenever somebody has a bad month. Mid-quarter changes make every trend line unreadable.
Write the exception path. There will be a lead that breaks the rules and deserves to. A named process for exceptions, with a log, stops people routing around the SLA quietly. Undocumented exceptions become the norm within two quarters.
What this costs and where it fails
The honest cost is meeting time and operational overhead. Reason codes require someone to enforce them, and enforcement is unglamorous. The first six weeks after launch, compliance will be poor and somebody has to chase it. If no leader is prepared to do that chasing, do not launch the SLA, because a document everyone ignores is worse than no document.
The most common failure mode is a five minute response window promised with no capacity to deliver it. Four reps cannot cover a five minute SLA across three time zones. Either fund the coverage, narrow the window to your core hours and say so, or use instant scheduling so the prospect books themselves. Promising the window and missing it teaches both teams that the document is fiction.
And a tradeoff worth stating: a strict accept rate floor will reduce marketing’s lead volume, sometimes by a third. That is the point, but somebody needs to warn the board before the number drops, or the SLA gets blamed for a decline it deliberately caused.
Get it signed this month
Draft the five definitions, write both sides of the commitment, pick your seven rejection codes, calculate the shared pipeline target from your own bookings number, and name the arbitrator. Two hours of work with the sales leader in a room will produce a better document than six weeks of circulated drafts.
Pre-built versions live in the sales and marketing SLA template, with a longer editable variant in this SLA template and a demand-gen specific cut in the SLA generation template. Fold the resulting numbers into your demand generation plan template so the annual plan and the weekly meeting reference the same targets, and keep the broader demand generation programme pointed at the pipeline number rather than the lead number.
Editable CSV worksheet
SaaS Demand Generation planning worksheet
A practical demand gen planning worksheet: decisions, owners, evidence and next actions.
Frequently asked questions
What should a marketing and sales SLA contain?
Six things: shared stage definitions, marketing's monthly volume and quality commitment, sales' follow up window and minimum attempt count, routing rules including holidays and coverage gaps, recycling rules for rejected leads with a fixed reason code list, and the shared pipeline target with its split. Anything else is commentary.
How fast should sales follow up on an inbound lead?
Within five minutes for demo requests and pricing enquiries. Research on inbound lead response consistently finds that contact and qualification rates fall sharply after the first few minutes and keep falling through the first hour. For lower intent leads a same business day window is reasonable.
Should marketing be measured on MQLs or pipeline?
Pipeline it can defend. MQL targets push marketing to optimise for form fills, which is the behaviour everyone complains about. Measuring marketing on qualified pipeline created, with an agreed definition of qualified, aligns the incentive with the outcome without making marketing responsible for close rates it cannot control.
What happens to leads sales rejects?
They get a reason code from a fixed list and route to a recycling path. Wrong timing goes to nurture with a re-entry date. Wrong persona goes to a different sequence or gets suppressed. Bad data goes back to operations. A rejection with no code is not a rejection, it is a lead that disappeared.
Who should own the SLA when sales and marketing disagree?
Name one person in the document, usually the revenue operations lead or the COO, with authority to make a call inside 48 hours. The arbitrator does not need to be senior to both teams, but the decision must be binding until the next quarterly review.
How often should the SLA be reviewed?
Weekly for the operational numbers in a 25 minute meeting, quarterly for the terms themselves. Weekly reviews catch routing breakages within days. Quarterly reviews reset volume commitments against the new pipeline target and retire definitions nobody uses.
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Published September 11, 2026. Last updated .