Selling time share is the portion of a rep's working hours spent in direct buyer contact or in preparation attached to a specific open deal. Everything else is non-selling time. Teams that measure it carefully almost always find the share is lower than leadership assumes, and the gap is usually structural rather than a matter of effort.
What counts and what does not
| Selling time | Non-selling time |
|---|---|
| Discovery, demo, and negotiation calls | CRM updates and pipeline hygiene |
| Prospecting calls and sequenced outreach | Forecast submission and deal reviews |
| Prep tied to a named open deal | Internal enablement and training |
| Buyer email and messaging threads | Quote approvals and deal desk waiting |
Measuring it without a time study
Three data sources get you close. Calendar exports give external meeting hours. CRM activity logs give call and email volume with timestamps. Deal desk and approval systems give queue time, which is the cost sellers feel most and report least. Divide buyer-facing hours by scheduled working hours and you have a directional read per rep.
Run the calculation per rep rather than as a team average. The average conceals the pattern that matters, which is a wide spread between the seller who protects buyer hours and the seller whose calendar is consumed by internal process. That spread is the thing you can manage.
Why the number shapes the forecast
Selling time is an input to every downstream number. Low buyer contact shows up later as thin creation, aging opportunities, and close dates that keep moving. ORM treats a change in stage, close date, or amount as meaningful activity on a deal, and the absence of any of those over a long window means the deal is being carried rather than worked. That is what low selling time looks like once it reaches the pipeline.
The effect on the quarter is direct. Roughly 20% of the pipeline carrying an in-quarter close date on day one actually closes in that quarter, so most of the number depends on deals created and worked inside the period. Creating and closing inside a quarter takes buyer hours, and a team without them will miss even with coverage that reads healthy. See pipeline coverage for why the coverage number alone does not answer this, and deal slippage for the signal that appears when selling hours dry up.
Selling time is worth tracking as a leading indicator rather than a scorecard. It changes weeks before bookings do, which is early enough to fix something.
Frequently Asked Questions
What counts as selling time?
Live buyer contact and the preparation attached to a named open deal. A discovery call counts. Building the deck for tomorrow's demo counts. Pipeline hygiene, forecast submission, internal reviews, and territory research do not, because none of them move a specific buyer forward.
Do you need a time study to measure it?
No. Calendar data and CRM timestamps give a usable estimate. Count external meeting hours from calendars, add logged call and email time from the CRM, and divide by scheduled working hours. The absolute number will be soft, but the trend and the spread across the team are reliable enough to act on.
Does more selling time always produce more bookings?
Only when the deals are workable. Adding hours to a book where 10% or more of the pipeline has gone twelve months without a touch produces activity against records that were never going to close. Fix the book first, then the hours have somewhere useful to go.
Why does the number drop after a territory change?
Reps rebuild relationships in accounts they did not own last quarter, and that work is not buyer contact on an open deal. ORM has seen coverage hold at the standard 3x to 5x range through a territory change while execution drops. Rebuilding relationships in newly inherited accounts absorbs hours that would otherwise go to open deals.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like what percentage of time do reps spend selling? into prescriptive action for your team.
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