Ask a sales manager why their team missed quota last quarter and the answer almost never starts with “our reps aren’t good enough.” It starts somewhere else: the list was too long, the accounts weren’t ranked, half the day went to figuring out who to call before anyone actually called them. That gap between top- and bottom-performing sales orgs isn’t a talent gap. It’s a selling-time gap, and it shows up in the data before it shows up in a missed number.
Quick Answer: Sales orgs with 90%+ quota attainment have reps spending 34% of their time actually selling, compared to 23% at lower-performing orgs, according to Forrester. That eleven-point gap is largely explained by how much time reps lose to manual, unverified account research instead of selling.
The quota gap isn’t about who works harder
Every sales floor has a version of the same story: one team hits number after number, another team works just as hard and still falls short. The instinct is to explain that with talent, coaching, or luck. The data points somewhere less flattering and more fixable.
Forrester’s research on quota attainment found that reps at organizations hitting 90% or more of quota spend 34% of their time actually selling. Reps at lower-performing organizations spend 23% (Forrester, “Four Proven Ways to Reach at Least 90 Percent Sales Quota Attainment”). Same job title, same quota pressure, an eleven-point difference in how much of the day is spent doing the thing the job actually rewards. That gap doesn’t close itself, and it rarely gets named directly in a pipeline review. Instead, it gets called a ramp problem, a coverage problem, or a hustle problem.
Where the time actually goes: selling vs. everything else
Reps spend roughly 15% of their time on prospect research alone, separate from the selling-time figure above (Forrester, “The Biggest Obstacle to Improving Your Sales Productivity: Wasted Time”). At a median fully-loaded AE cost of $190,000 a year (Bridge Group, “2024 SaaS AE Metrics & Compensation Benchmark Report”), that 15% works out to roughly $11,000 to $17,000 per AE, per year, spent on research rather than selling. Multiply that across a ten-person team and it stops looking like an individual habit and starts looking like a line item.
Not all of that research time is first-pass discovery. A real chunk of it is re-verification: a rep pulls up an account that’s already been scored or ranked by some tool, doesn’t trust the number enough to act on it, and quietly redoes the work themselves before making the call. That second pass doesn’t show up in any dashboard. It shows up as a smaller number of accounts worked per week and a wider gap between the reps who trust their list and the reps who don’t.
Why unverified research eats the time that should go to selling
Most Growth-stage sales teams aren’t short on data. They’re running a CRM, usually Salesforce, plus some combination of an in-house scoring model, a legacy prioritization tool, or a newer intent platform layered on top. Each one produces its own read on which account matters right now, and none of them fully agree. Reconciling that disagreement falls to the rep, done inconsistently, deal by deal.
That’s the condition that makes a score hard to trust even when it’s directionally right. A rep who has been burned once by a bad recommendation stops taking the next one at face value, and “stops taking it at face value” in practice means manually rebuilding the case for every account before making a call. The score wasn’t necessarily wrong. It just wasn’t trusted enough to act on without a second pass, and that second pass is where the selling-time gap actually lives.
What top-attainment orgs are doing differently
The eleven-point selling-time gap isn’t explained by top performers working more hours or carrying smaller books of business. It’s explained by how much of the day survives contact with everything that isn’t selling: research, re-verification, and manually reconciling conflicting signals about the same account.
Orgs closer to 90% quota attainment aren’t necessarily running fewer tools or simpler tech stacks. What tends to differ is how much a rep has to personally validate before they act. When a score or a ranked list holds up often enough that reps stop double-checking it by default, that reclaimed time goes straight back into selling, which is the one activity actually tied to the number a VP or Head of Sales is accountable for.
Closing the gap: what changes when reps can trust what they’re working from
None of this is an argument for fewer tools or more discipline. It’s an argument for a different starting condition: a rep who can see why an account ranked where it did, and doesn’t have to personally re-litigate that ranking before acting on it. When the research time drops, the selling time it was competing with goes up, and that’s the eleven-point gap Forrester’s data describes, closing from the inside rather than through longer hours. That’s the problem Account Scoring is built to solve. It provides a score reps can see, adjust, and act on without a second pass.
The eleven-point gap looks different at a five-person team versus a twenty-person one, and the cost math shifts depending on how your AEs are compensated. The full report models both and walks through what it actually takes to move the selling-time number. That’s the modeling this post can’t fully do in a few paragraphs, and it’s exactly what the full report was built to walk through.
Read the full data behind this gap in the gated Insight Report, “The Selling-Time Math: What 90%+ Quota-Attainment Orgs Do Differently.” It works through the Forrester and Bridge Group figures above in more depth, models what the research-time cost looks like at different team sizes, and lays out what separates the two ends of that eleven-point gap.
Frequently Asked Questions
Why do some sales teams consistently hit quota while others fall short?
The difference usually isn’t effort or talent. Forrester found that reps at 90%+ quota-attainment orgs spend 34% of their time selling, compared to 23% at lower-performing orgs. That gap traces largely to how much time reps lose to manual account research and re-verifying scores they don’t fully trust.
What's the real difference between top-performing and bottom-performing sales teams?
Top-performing teams protect more of the workday for actual selling. Lower-performing teams lose more of it to research, much of it re-checking account rankings or scores before acting on them. The gap is measured in selling time, not headcount, tools, or hours worked.
How much time do sales reps spend on prospect research?
Reps spend roughly 15% of their time on prospect research, according to Forrester. At a median fully-loaded AE cost of $190,000 a year (Bridge Group), that works out to an estimated $11,000 to $17,000 per AE annually spent on research instead of selling.
Does having more sales tools fix the quota attainment gap?
Not by itself. Many Growth-stage teams already run several tools that each rank accounts differently, which creates its own reconciliation problem. The gap tends to close when reps can trust a single ranked answer enough to act on it without personally re-verifying every account first.
Is there an HG Insights customer story behind this specific claim?
Not yet for this exact question. The figures in this post come from third-party research, Forrester and Bridge Group, not an HG-specific case study, and that is stated directly rather than implied otherwise.
