Usage-Based Pricing Broke the AE Playbook Here's Who Actually Wins Now

TLDR: Usage-based pricing has gone from a niche experiment to the majority model in SaaS, with over half of public software companies now running some consumption component and adoption still climbing fast. The vendors leading the shift, among them Snowflake, Datadog, Twilio and MongoDB, have revenue that grows or stalls with actual usage rather than a signed contract value. Sales teams built to close a deal and move on to the next one are structurally mismatched to that reality, and quota attainment is quietly collapsing at some of the biggest consumption-native companies as a result. Hiring managers who keep recruiting classic hunter AEs for consumption products are setting reps up to miss number after number. The fix starts with rewriting the AE profile before the next requisition goes out.

The Numbers Nobody Priced In

According to OpenView Partners, 61% of SaaS companies now use usage-based pricing in some form, up from 45% in 2021, and those companies are growing revenue 38% faster with 54% higher net revenue retention than peers still running pure seat-based models. Bessemer's State of the Cloud 2026 report puts the figure even higher among public companies specifically: 51% now carry a usage-based component, nearly double the 27% recorded in 2021. Gartner has gone further still, predicting that 70% of businesses will prefer usage-based pricing over per-seat licensing by the end of this year. At a private Insight Partners portfolio event, 84% of attendees said they were already using, piloting, or actively exploring usage-based pricing. This isn't an emerging trend anymore. It's the default.

Who's Actually Running This Model

The names doing this at real scale are the same ones investors keep pointing to as the standard-bearers of the shift. Snowflake separates compute from storage and lets spend scale automatically as customers push more workloads through the platform. Datadog and Twilio both meter usage down to the API call, the SMS, the voice minute. MongoDB Atlas bills by consumption rather than seat count. Bank of America named all four, plus JFrog, as its top software picks for the second half of 2026, citing AI-driven usage growth as the reason.

Net revenue retention across this group looks strong on paper: Snowflake around 125%, Datadog around 120%, MongoDB around 118%, Twilio around 114%. On the surface, that reads like a golden era for consumption pricing. Underneath it, the sales motion required to hit those numbers looks nothing like the one most SaaS sales teams were built and hired for.

The Quota Problem Nobody Wants to Talk About

Look past NRR and the picture gets messier. At Snowflake, quota attainment for many reps sits below 50%. That isn't a talent problem in the traditional sense, it's a structural one. When revenue grows because a customer's existing workload expands rather than because a rep closed a new deal, the classic hunt, close, move on AE motion has nothing to attach to. Spend can climb without a single new sales conversation happening. It can also stall with no obvious buying signal to chase. Reps hired and comped to close contracts are being asked to hit a number that increasingly depends on product adoption, technical enablement, and account health, none of which show up cleanly on a pipeline report.

What Good Actually Looks Like Now

This is where most hiring managers get it wrong. They adopt a usage-based pricing model, leave the AE job spec exactly as it was for the seat-based era, and then wonder why the reps they hire either burn out chasing a number they can't directly influence, or coast on accounts that were already growing before they arrived. The profile that wins in a consumption business looks like a genuine hybrid of AE and CSM: someone who reads a usage dashboard as fluently as a pipeline report, understands the customer's technical setup well enough to spot exactly where adoption is stalling, and treats renewal and expansion as one continuous motion rather than two separate jobs handed to two separate people.

That blurring is happening from the customer success side too. Recent breakdowns of the 2026 CSM skill stack show that the highest-earning CSMs increasingly own the renewal and the upsell outright, rather than passing that number across to a sales rep. The line between the two roles isn't just blurring in consumption businesses, in the best performing teams it's disappearing.

For hiring managers, that means rewriting the AE scorecard before the job ad goes live. Prioritise candidates who have sold technical or platform-based products, who can talk fluently about consumption metrics and gross margin rather than just deal size, and who have operated in accounts where the job wasn't finished at signature. Stop screening for hunter energy as the default setting, and start screening for the discipline to run an account for the long haul. Get this wrong and you'll keep hiring reps who look strong on paper and miss number after number, which is exactly what Snowflake's attainment numbers are quietly broadcasting to the rest of the market.

About TalentStack

TalentStack is a specialist GTM recruitment partner for B2B SaaS. We place Account Executives, SDRs, Solutions Engineers, RevOps, and sales leadership into high-growth software businesses across EMEA and North America, from Series A through pre-IPO.

If you're hiring or looking for a new opportunity in this space, we can help. Reach out to me for more information, whether you're rewriting your AE hiring profile for a consumption model or looking for a role that actually rewards account growth.

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