How to Structure Compensation So Sales and Marketing Pull Together

Marketing hits its MQL number every month and gets asked why sales isn’t closing more deals. Sales hits its call volume and gets asked why pipeline is thin. Both teams are technically hitting their targets, and revenue still isn’t where it needs to be, because the two comp plans were built by two different people, in two different planning cycles, optimizing for two different numbers that were never checked against each other. This is the most common structural cause of sales-marketing conflict, and it’s fixable with plan design, not more Slack messages asking everyone to “align better.”

The Root Cause Is Almost Always Measurement, Not Attitude

Sales and marketing conflict gets discussed as a culture problem — silos, lack of communication, different personality types. In practice, the conflict is almost always downstream of how each team is measured. If marketing is comped on MQL volume and sales is comped on closed revenue, the two teams are structurally incentivized to disagree about lead quality forever, because marketing’s comp doesn’t care whether an MQL converts and sales’s comp doesn’t care how many MQLs marketing generates — only how many of them are actually worth pursuing.

Fix the measurement mismatch and a surprising amount of the “culture” problem resolves on its own, because the two teams stop being scored against different, sometimes opposing, definitions of success.

Get Both Teams to Agree on One SQL Definition, in Writing

Most companies have an MQL definition that marketing wrote and an implicit, unwritten bar that sales actually uses to decide whether to work a lead. These are rarely the same thing, and the gap between them is where most of the “your leads are garbage” conflict lives.

Fixing this requires an actual joint working session, not a one-way handoff of a lead-scoring model from marketing to sales. Pull the last 100 leads marked SQL and have both a marketing and a sales leader review them together, sorting into “would have closed regardless of channel,” “converted to a real opportunity,” and “never should have been passed.” The patterns that emerge — company size cutoffs, specific job titles, behavioral signals like multiple site visits versus a single form fill — become the joint definition. Write it down as a shared document with specific, checkable criteria (not “high intent” but “visited pricing page and attended a demo within 14 days”), and revisit it quarterly as both teams’ understanding of what converts improves.

Once this definition exists, both teams’ comp plans should reference the same document. If marketing’s SQL number and sales’s “qualified enough to work” bar are pulling from different criteria, the plans will keep pulling the teams in different directions no matter how the compensation math itself is structured.

Move Marketing Comp Off Raw MQL Volume

MQL-volume-based comp is the single most common design flaw in marketing compensation, because it’s trivially easy to game — loosen the qualification criteria, run a webinar promising something unrelated to the actual product, buy a list, and MQL volume goes up while conversion quality collapses. Marketers aren’t doing this maliciously; they’re responding rationally to the incentive they were given.

The fix is to tie a meaningful share of marketing variable comp — not all of it, but enough to matter, typically 30-50% of the at-risk portion — to metrics further down the funnel than raw lead count:

• Marketing-influenced pipeline, meaning opportunities where marketing touched the account at any point before the deal was created, tracked through whatever attribution model both teams have agreed reflects reality (even a simple multi-touch model beats last-touch-only for this purpose, since last-touch systematically undercounts top-of-funnel work).
• Marketing-sourced revenue, a stricter cut limited to deals where marketing generated the first meaningful engagement, which rewards genuinely new pipeline creation rather than influence on deals sales was already going to find.
• SQL-to-opportunity conversion rate, which directly measures whether the leads marketing is passing actually hold up under sales scrutiny, and gives marketing a reason to care about quality over volume without removing volume from the picture entirely.

Keep some comp tied to volume or activity metrics that marketing fully controls — content output, campaign launches, event attendance — because tying 100% of comp to revenue outcomes that depend heavily on sales execution creates its own resentment in the other direction. The goal is a blend where both teams have skin in the same outcome, not a wholesale transfer of sales’s comp structure onto marketing.

Tie a Slice of Sales Comp to Working Marketing Leads Properly

Alignment has to run in both directions. If marketing comp depends partly on SQL conversion, sales needs a real incentive to work marketing-sourced leads with the same rigor as self-sourced ones, rather than quietly deprioritizing anything that didn’t come from their own outbound effort — which happens more often than most sales leaders admit, because reps trust their own instincts about a prospect more than a lead that showed up in their queue from another team.

A workable structure ties a small piece of sales variable comp — often just a modifier, not a separate large bucket — to speed-to-first-touch and documented follow-up on marketing-sourced leads specifically. Some organizations use a lead-response SLA (contact attempted within one hour, for instance) with a compensation consequence for consistent misses, rather than a bonus for hitting it — treating baseline responsiveness as the expectation rather than an optional extra worth extra pay. Either direction works; what matters is that the SLA has a real compensation tie, not just a Slack reminder from ops that gets ignored the first busy week.

Build the SLA Both Teams Actually Agreed To

An SLA that sales or marketing leadership imposed unilaterally rarely survives contact with a busy quarter. The version that holds up is negotiated jointly, with specific, measurable commitments on both sides:

• Marketing commits to: a defined volume of SQLs per month against the agreed definition, delivered with enough context (company info, engagement history, stated intent signals) that a rep doesn’t have to re-qualify from scratch.
• Sales commits to: contacting every SQL within an agreed window (commonly one hour for inbound, 24 hours for outbound-sourced), logging a disposition on every lead (not just the ones that convert), and providing closed-loop feedback on why any lead was disqualified.
• Both commit to: a monthly or bi-weekly review of the funnel together — not a one-way marketing report to sales, but a shared review where disagreements about lead quality get resolved against actual data rather than anecdote (“that lead was garbage” versus what the CRM disposition field actually says).

Put this SLA in writing, review it in the same forum where both teams’ comp attainment gets discussed, and revisit the specific numbers each quarter as pipeline volume and conversion rates shift — an SLA calibrated for last year’s funnel will misfire against this year’s without a review cadence built in.

Share a Pipeline Target, Not Just Individual Quotas

Even with aligned definitions and SLAs, many organizations still run marketing and sales against completely separate top-line targets set in separate planning processes, which reintroduces the same misalignment at the goal-setting level rather than the measurement level. If marketing’s pipeline target and sales’s revenue target were built independently, by different people, using different growth assumptions, they will drift apart within two quarters no matter how well the comp mechanics underneath are designed.

The fix is a joint planning exercise, ideally run once a year with a lighter quarterly check-in, where both leaders build the pipeline math together starting from the revenue target: what conversion rate from SQL to closed-won is realistic given last year’s actuals, what pipeline volume that conversion rate requires, and how that pipeline splits between marketing-sourced and sales-sourced given historical mix. Both leaders leave that exercise owning the same number, which makes the individual comp plans downstream of it far easier to keep coherent with each other, because they were built against a shared target rather than reconciled after the fact.

A Worked Example: Redesigning a Real Comp Structure

Take a 40-person B2B SaaS company with 6 AEs and a marketing team of 4. Under the old plan, marketing’s $12,000 annual bonus pool was split entirely on MQL volume against a target of 800/month. Sales comp was 100% closed-revenue-based with no lead-quality component. Marketing hit 850 MQLs a month for two straight quarters and collected full bonuses; SQL-to-opportunity conversion over that same period fell from 22% to 14%, because marketing had loosened form-fill criteria and started running a “free template download” campaign that pulled in job-seekers and students rather than buyers.

The redesign split marketing’s pool three ways: 40% tied to marketing-influenced pipeline (using a simple multi-touch model already available in their CRM), 35% tied to SQL-to-opportunity conversion rate holding at or above 20%, and 25% left on activity metrics (content shipped, campaigns launched) that marketing fully controls. Sales comp added a modifier — not a new bucket, a plus-or-minus 3% adjustment to quarterly bonus — tied to hitting a documented one-hour first-touch SLA on marketing-sourced leads at least 90% of the time, replacing the previous situation where marketing leads sat in a rep’s queue for an average of 11 hours before first contact.

Within two quarters of the new structure, SQL-to-opportunity conversion recovered to 24% (the free-template campaign got killed once it stopped counting toward marketing’s number), MQL volume dropped to roughly 500/month (fewer, better leads), and first-touch time on marketing leads fell from 11 hours to under 90 minutes. Total bonus payout across both teams stayed roughly flat — this wasn’t a cost-cutting exercise, it was a reallocation of the same dollars toward behavior that actually moved revenue.

The Failure Mode Most Redesigns Miss: Comp Cycles That Don’t Match

A structural problem that survives even well-designed comp mechanics: marketing comp typically runs on a quarterly or annual cycle, while sales comp frequently runs monthly, with accelerators that reset every 30 days. This mismatch means marketing is optimizing for a 90-day view of pipeline quality while sales is under constant pressure to close whatever’s in front of them this month, even a mediocre marketing-sourced lead, because the alternative is missing this month’s number entirely.

The practical consequence: sales will sometimes push a borderline lead through the pipeline faster than its actual buying signal warrants, just to hit a monthly number, and that inflates marketing’s SQL-to-opportunity metric in a way that looks good on paper but doesn’t reflect genuine lead quality. Watch for this specifically at the end of every sales month — if disposition rates on marketing leads spike in the final week compared to the rest of the month, that’s a sign the monthly cycle is distorting how leads get evaluated. The fix isn’t necessarily changing sales’s comp cadence (monthly cadences exist for good reasons around cash flow and rep motivation) — it’s adding a lagging quality check, where a sample of deals that closed in the final week of a sales month gets reviewed 60 days later to confirm they didn’t churn or downgrade at an unusually high rate, which would indicate they were pushed rather than genuinely qualified.

Sequencing the Redesign So It Doesn’t Blow Up Morale

Comp plan changes are one of the few initiatives in a company where getting the sequencing wrong can tank morale on both teams simultaneously, because compensation touches people’s actual income. Don’t announce a new structure and flip it on the same pay period. Work through this order instead:

1. Run the joint 100-lead review and build the shared SQL definition first, entirely separate from any comp conversation — this removes the incentive for either team to argue for definitions that happen to favor their existing comp structure.
2. Model the new comp math against the last 2-3 quarters of actual historical data before rolling it out, and show both teams what their bonuses would have been under the new plan versus what they actually earned — this catches unintended consequences (a rep who would have been badly underpaid under the new SLA modifier, for instance) before real money is on the line.
3. Announce the new structure at least one full quarter before it takes effect, giving both teams a quarter to adjust behavior under the new rules while still being paid under the old ones — this single step prevents the “you changed my comp with no warning” resentment that kills trust in any subsequent plan change.
4. Run the first live quarter under the new plan with a compensation floor — a guarantee that nobody’s total comp drops by more than some capped percentage (10-15% is common) versus the prior structure, purely as a transition cushion, removed after the first year once the new baselines are established.

How to Know the New Structure Is Actually Working

Track three numbers monthly, not annually, so problems surface before an entire year’s comp cycle is wasted on a plan that isn’t producing the intended behavior: SQL-to-opportunity conversion rate (should trend up or hold steady, not decline), first-touch time on marketing-sourced leads against the SLA (should hold near target, not creep upward as sales gets busy), and a simple qualitative pulse — a joint monthly meeting where both leaders rate, on a 1-5 scale, whether the other team’s output felt like it was pulling toward the same goal that month. That last measure is soft, but tracked consistently over time it catches relationship drift well before it shows up in the hard numbers, and it gives both leaders a forcing function to actually discuss friction points before they calcify into “sales always says our leads are bad” or “marketing never sends anything real.”

Watch for the Plan Fighting Itself Over Time

Even a well-designed comp structure drifts out of alignment as the business changes — a new product line, a shift toward larger deals with longer cycles, a new segment where the old SQL definition no longer predicts conversion well. Build a light quarterly review specifically to check whether the comp plan is still producing the behavior it was designed for: is marketing-sourced pipeline still converting at the rate the plan assumed, is the SLA still being hit, does the SQL definition still hold up against a fresh sample of the last quarter’s deals.

Treat comp plan review as a standing item, not a once-a-year event triggered only when someone complains loudly enough. The organizations that keep sales and marketing genuinely pulling in the same direction over multiple years are rarely the ones with the cleverest initial plan design — they’re the ones that noticed the drift early and adjusted the mechanics before the two teams’ incentives quietly diverged again.