Sales has become the default motion earlier than the playbook admits.
We scored 201 companies on ten go-to-market motions across six funding stages and twelve categories, then read what actually changes round by round — and what the averages hide.
Most go-to-market advice ranks the biggest companies and reasons backward — a leaderboard that is ~80% late-stage and public, converged on the same hybrid. We did the opposite: we designed a sample to fill a matrix, weighted toward the Seed-to-Series-B founders and first reps who actually feel the stage-mismatch. Every number below traces to the corpus; nothing is borrowed from an external benchmark. This page is the overview — the full argument, with every figure, is in the report.
The State of Go-To-Market 2026
Sales is the default — and it arrives early
Across 201 companies scored on ten motions, sales-led is the weighted top motion in five of six stage bands — including Seed. The tidy "start product-led, bolt on sales at Series B" sequence isn't the general rule: by the time a company leaves enough public evidence to study, it is already carrying a sales motion. What changes round by round isn't whether sales is present, but how legible the stack becomes.
Series B is the proving ground — but motion doesn't predict the outcome
Win-rate jumps from 27% at Series A to 60% at Series B and peaks at 75% in Growth, then derates at Public. Yet the corpus's most useful result is a null: compare the average motion of the winners with the stalled companies and they are, to the decimal, the same posture. "Which motion should we run" is the wrong question — the winners and the failures ran the same ones.
"Software company" hides twelve different machines
The corpus-wide average is a useful lie. Split by category and each sector runs a recognisably different motion — dictated by who signs. Security sells to InfoSec, so trust leads from the first deal; developer tools sell to a developer, the one sector where sales-led isn't even the top motion. Same "software," opposite machines, for the same reason: the buyer.
How we mapped it
The analytical unit is a (stage × category) cell, not a ranked list. Companies were selected to populate those cells — weighted toward the ICP, not chosen for size — then each was stamped on four axes: stage, category, ACV band × buyer, and an outcome signal. Motion itself is a ten-way vector summing to ~1 over company-neutral archetypes.
Two rules do the load-bearing work. Anti-survivorship: 15–20% of every stage band is a stalled or down-round company — without a failure cohort you can only learn what winners did. Traceability: every claim carries a dated public source or is flagged as an inference, and a second adversarial pass tried to refute the record. No external benchmark contributed a single number.
Six laws of modern go-to-market
The patterns that recur across the corpus — the part a founder can carry into a room.
Motion is a buyer property, not a stage.
Stage barely moves the motion; the buyer moves it. When a developer is in the buying group, sales-led falls to 0.17 against 0.25 for everyone else — the largest swing in the corpus.
The security questionnaire is the channel.
Direct sales, partners, and a distinct procurement/trust channel are the three most load-bearing ways companies reach buyers. The dominant channel in modern B2B is not a signup page — it is a security review, answered well.
Trust beats hype — but only at the margin.
Motion does not predict outcome: winners and stalled companies run the same mix. The only tilt that survives is small — winners carry slightly more procurement/trust weight (0.12 vs 0.10).
Growth left the seat.
Expansion splits across usage, new modules, and seats — usage just ahead — and usage-based billing now rivals the per-seat subscription. Revenue increasingly grows with usage, not headcount.
Nobody runs one motion; the blend is the strategy.
The average company's strongest motion carries just a quarter of its weight (0.26); 152 of 201 are pure hybrids and only 7 are monoline. The winning object is a stack, tuned.
When companies change, they change the product — lately, into AI.
Of 179 documented shifts in the last year, 61% shipped a new product and 42% repositioned around AI; only 16% changed how they sell. The motion of the year didn't change — the product did.