Sales and marketing team collaborating around a laptop in a modern office, representing GTM hiring
Industries · Sales & Marketing / GTM

Hire the revenue talent that hits quota.

UPPER runs autonomous, performance-signal-aware sourcing for AEs, SDRs, and GTM leaders — so you stop hiring resumes that look good and start hiring reps who actually hit number.

Quick answer

UPPER is autonomous AI recruiting software built for hiring sales, marketing, and GTM talent. It runs always-on sourcing and performance-signal scoring across AEs, SDRs, and revenue leaders — addressing a market where quota attainment has fallen from 53% to 27% and sales turnover runs 34-35% — so revenue leaders build pipeline of candidates who are statistically more likely to perform, not just interview well.

27%
of sales reps hit quota in 2023, down from 53% in 2018 — less than half the historical rate.
34–35%
average sales turnover rate, roughly double the 13-17.8% cross-industry average.
$97,690+
average cost of a single bad sales hire once ramp time and lost pipeline are counted.

Replacing a rep who never should have been hired

Illustrative scenario

A VP of Sales is six months into a new fiscal year and already down two of eight AE seats — both reps who looked strong on paper and interviewed well, but never got traction and left within a year. The old way means writing a job post, sorting through a flood of generic applicants, and betting on gut instinct in the interview — all while pipeline coverage keeps slipping and SDR turnover, sitting at 40% industry-wide, threatens the reps still on the team.

With UPPER, sourcing runs continuously against a pool of candidates already scored on performance-relevant signals — quota-attainment history, ramp speed at comparable companies, tenure patterns — not just keyword matches on a resume. Outreach to the highest-fit passive candidates starts immediately when the req opens. The VP fills both seats within five weeks with reps who have documented quota-attainment histories, instead of gambling on another six-month ramp that might not work out.

Illustrative example based on UPPER's designed workflow; not a specific customer engagement.

Where GTM hiring breaks down — and what fixes it

Quota attainment has been falling for years and turnover keeps compounding it. These are the specific friction points slowing revenue leaders down, sourced from the 2026 data.

Quota attainment has collapsed
Source for performance signal, not résumé keywords

Only 27% of sales reps hit quota in 2023, down from 53% in 2018 — less than half the historical rate. UPPER scores candidates on performance-relevant signal instead of surface-level resume matching, targeting the traits that actually predict quota attainment.

Sales turnover runs double the cross-industry rate
Always-on sourcing keeps a bench ready before the opening

Sales turnover runs 34-35% against a 13-17.8% cross-industry average, and SDR turnover hit a median 40% in 2024. UPPER's continuous sourcing means a scored bench is already warm before the next departure happens.

A bad sales hire is brutally expensive
Fit-and-performance scoring before the interview, not after

A bad sales hire costs $97,690 to $115,000 once ramp time, lost pipeline, and replacement costs are counted. UPPER's upfront scoring reduces the odds of a mis-hire reaching the interview stage at all.

Only ~3 candidates compete for each open B2B sales role
Sourcing that reaches passive, out-of-market talent

Gartner data shows roughly three candidates compete for each open B2B sales role, with positions staying open about two months. UPPER's continuous, multi-channel sourcing reaches passive GTM talent that a single job posting would never surface.

Sales team celebrating a closed deal in a modern office

Built to find reps who perform, not just interview well

UPPER scores candidates on performance-relevant signal — quota history, ramp speed, tenure patterns — so every submission is one that's statistically more likely to hit number.

What performance-first hiring looks like

Illustrative scenarios based on UPPER's designed workflow — not a specific customer engagement or guaranteed outcome.

27% → higher targeted quota-attainment odds

Sourcing for signal, not just keywords

Instead of betting on interview performance alone, scoring candidates against performance-relevant signal before outreach improves the odds a new hire tracks toward quota attainment rather than the 27% industry baseline.

"We stopped hiring the best interviewer and started hiring the best performer."

Illustrative scenario
8 wks → 5 wks to fill two open AE seats

Keeping a warm bench ahead of turnover

With sales turnover running 34-35% industry-wide, a continuously-sourced, pre-scored bench let a sales leader fill two AE openings without a multi-month scramble.

"The bench was already there when we needed it — we weren't starting from zero."

Illustrative scenario

UPPER Industry Report

The GTM & Revenue Talent Market in 2026
Edition H2 2026 · 12+ cited sources

The definitive 2026 data set on sales, marketing, and GTM hiring

Quota attainment cut in half since 2018. Sales turnover double the cross-industry rate. Get the cited, data-driven field guide built for revenue-team hiring leaders.

↓ Download the free PDF Read online →

Questions revenue leaders ask

Why has quota attainment fallen so much?

Salesforce's State of Sales research shows only 27% of reps hit quota in 2023, down from 53% in 2018 — driven by longer, more complex buying cycles, more stakeholders per deal, and greater buyer access to information that reduces reliance on sellers. This is a structural shift, not a one-year dip.

How much does sales turnover really cost?

Sales turnover runs 34-35% on average, roughly double the 13-17.8% cross-industry benchmark, and SDR turnover hit a median of 40% in 2024. A single bad sales hire costs $97,690 to $115,000 once ramp time, lost pipeline coverage, and replacement search costs are factored in.

Does AI actually help reps hit quota, or is that just a vendor claim?

Salesforce's 2026 research found AI users are 3.7x more likely to hit quota than non-users, and 88% of sellers using AI agents say the technology helps them sell more effectively — though separately, Gartner projects 58% of sellers will need reskilling for AI-augmented selling by 2026, meaning the adoption curve and its benefits are still unfolding unevenly across teams.

More industries we serve

Stop hiring resumes that look good but don't perform

See how UPPER's performance-signal sourcing keeps a scored bench of AEs, SDRs, and GTM leaders ready before the next opening.