The Rev-Ops Diagnostic

What’s your current sales system actually costing you?

Plug in your numbers. See, conservatively, what fixing each of the five things breaking your pipeline is worth over the next 12 months.

Pipeline Calculator
Conservative model
Your team today
At your current numbers, each rep generates approximately£762 per selling hour
The five things breaking your pipeline
01ICP Fit

Reps spending hours on accounts that will never buy.

Effort on non-ICP accounts produces little or no closeable pipeline. Our TAM map gives reps a clean, scored list of accounts that actually fit your ICP.

% of your reps’ work on true ICP-fit accounts60%
Strong target · 85%+
Your annual pipeline (total)£2,400,000
Reps’ work on ICP-fit accounts today60%
Remaining work that could be redirected40%
Pipeline opportunity in that redirected effort£960,000
Realistic recovery factor40%
Pipeline lift / year£384,000
Closed revenue (at 25% close rate)£96,000
02Signal Prioritisation

Reps working accounts based on what’s in front of them, not what’s actually in-market.

Without signals, reps prioritise by gut feel. With signal data (funding, hires, tech changes, intent), outbound lands on accounts that are actually buying, and engagement rates roughly double.

% of your reps’ work on signal-prioritised accounts10%
With signal layer · 60%+
Your annual pipeline (total)£2,400,000
Work on signal-prioritised accounts today10%
Realistic target with signal layer60%
Work we can move to signal-prioritised50%
Engagement uplift factor (~2× on prioritised work)25%
Pipeline lift / year£300,000
Closed revenue (at 25% close rate)£75,000
03Buying Committee Data

Reps can’t reach every decision-maker because the data isn’t there.

Single-provider databases cover 40-50% of any list. Reps waste hours hunting decision-maker details, and when they do send, 5%+ bounces from unvalidated data quietly damage sending reputation. We stack providers (Prospeo, BounceBan, ClearoutPhone) for 90%+ coverage.

% of your ICP accounts where you have full buying committee data30%
Stacked providers · 90%+
Your annual pipeline (total)£2,400,000
Accounts with full buying committee data today30%
Accounts with missing or incomplete data70%
Outbound + reach hampered by data gaps£1,680,000
Realistic recovery with full coverage15%
Pipeline lift / year£252,000
Closed revenue (at 25% close rate)£63,000
04Inbound Quality

Reps burning hours on marketing leads that aren’t real buyers.

Your reps work all inbound passed to them, regardless of fit. Time qualifying non-ICP leads is time not spent on outbound to good accounts. Our Inbound Qualifier filters non-fit leads in real time before they hit a rep.

Inbound leads / month100
% ICP-fit40%
Non-ICP leads consuming rep time / month60
Hours spent qualifying them (~30 min each)30 hrs / mo
Annual hours reclaimed across team360 hrs / yr
Redirected at your rep’s selling-hour rate (50%)£381 / hr
Pipeline lift / year£137,143
Closed revenue (at 25% close rate)£34,286
05Selling Time

Reps spending most of their day on research, admin and CRM. Not selling.

Salesforce’s State of Sales research shows reps spend ~28-35% of their time on actual selling. Top systems push this to 55%+. Our Daily Selling Cadence does the prep so reps wake up knowing exactly who to work.

% of your reps’ time spent on selling activity35%
Top performers · 55%+
Working hours per rep per year1,800
Selling hours per rep today (35%)630 hrs
Pipeline per selling hour£762
Additional selling hours at target (55%)360 hrs / rep
Marginal-hour productivity factor (30%)£229 / hr
Pipeline lift / year£411,429
Closed revenue (at 25% close rate)£102,857
Total opportunity · 30% overlap discount applied

Your current sales system is costing you roughly £1,039,200 in pipeline this year.

Pipeline uplift / year
£1,039,200
Closed revenue uplift / year
£259,800
ROI on £40k build fee
6.5×

To build the system that delivers this: £25,000 upfront + £1,700/month after month three. Or £5,000/month for 12 months with a 90-day exit clause if pipeline hasn’t moved.

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Every figure derives from your own inputs. Recovery factors are deliberately conservative. The total applies a 30% overlap discount to prevent double-counting across levers.