Measure your real response latency.
15 minPull 500 random inquiries from the last 30 days. For each one, compute the delta between lead-created timestamp and first outbound human touch timestamp — not “assigned to rep”, not “opened in CRM”. Actual call placed or message sent.
What you’re looking for
- Median latency — half your leads are worse than this number
- p90 latency — the tail that quietly loses the most revenue
- % of leads with zero touches in 24 hours — the pure leakage number
Industry benchmarks
| Industry | Good (p50) | Typical (p50) | Leakage signal |
|---|---|---|---|
| Automotive | < 2 min | 35–50 min | > 30 min |
| Real estate | < 5 min | 2–6 hours | > 2 hours |
| Insurance | < 3 min | 20–40 min | > 30 min |
| BFSI | < 5 min | 1–3 hours | > 1 hour |
If your CRM doesn’t log the first-outbound-touch timestamp, that’s your first finding.
You can’t manage what you can’t measure. Before you chase the rest of the audit, fix the instrumentation — ideally via events, not rep-entered fields.
Map your channel coverage.
10 minDraw a 5-column table: Phone · WhatsApp · Email · SMS · Web chat. For each one, answer three questions:
- What % of outbound attempts use this channel?
- What’s the connect-rate (someone responded) on this channel?
- What’s your max attempts policy before you give up?
Most teams discover two things: (a) 85% of their outbound is phone calls — when 62% of buyers prefer WhatsApp or email for first contact; and (b) “give up” happens after 3 attempts over 5 days, when buyers typically take 8–12 touches over 18 days to convert.
If a single channel handles > 70% of outbound, you’re leaking the rest.
Buyers self-segment by channel. Covering only phone means you can only convert phone-preferred buyers — typically 30–40% of the modern funnel.
Inspect your after-hours window.
15 minHistogram your inquiries by hour-of-day over the last 30 days. Overlay your human team’s actual active hours. The gap between those two curves is your after-hours leakage zone.
What to calculate
- % of inquiries that arrive outside your support/sales working hours
- Conversion rate for those inquiries vs. in-hours ones (usually 30–50% lower)
- Estimated lost revenue = (out-of-hours inquiries) × (in-hours conv rate − out-of-hours conv rate) × (avg deal value)
For most B2C funnels, after-hours inquiries are 28–42% of total volume — and convert at roughly half the rate of in-hours ones. That’s usually the largest single number in the audit.
Score your qualification quality.
20 minPull 50 random “qualified” leads from the last 30 days. For each, answer: did the rep actually capture intent, timeline, budget and channel preference — or did they mark it qualified because someone picked up the phone?
Scoring rubric
- Gold — 4 of 4 fields captured, with specifics (not “yes, interested”)
- Silver — 2–3 fields, usable
- Tin — 0–1 fields, effectively just a “connected” event dressed up
Typical result: 18% gold, 34% silver, 48% tin. Your “48% tin” is why your closers are complaining about lead quality — and they’re right. But the root cause isn’t the lead source; it’s the qualification step.
Audit the hand-off friction.
15 minShadow one qualified-to-closer hand-off end-to-end. Start at the moment a lead is marked qualified. Stop when the closer places the first substantive call.
Count
- Tools touched (CRM, spreadsheet, WhatsApp, email, phone system…)
- Fields re-entered between systems
- Elapsed wall-clock time
- Context lost (notes, recordings, prior conversation transcripts)
If the hand-off takes more than 90 seconds of rep-time and involves more than 2 tools, you have hand-off friction that’s eroding conversion. Most enterprises we audit come in at 4–7 minutes per hand-off, across 3–5 tools.
Model the dollar delta.
15 minYou now have five leakage sources quantified. Convert each into dollars using the same formula:
Lost revenue = (# leaking leads) × (avg deal value) × (realistic conversion uplift %).
Realistic uplift: 20–40% for response latency, 15–25% for after-hours coverage, 10–20% for qualification depth, 8–15% for hand-off friction.
Add the five numbers. That’s your annualized leakage — the money currently on the floor. Most mid-market funnels audit in at 18–35% of pipeline. Enterprise funnels: 12–22%. If you’re running > $10M in pipeline, the dollars get uncomfortable fast.
Bring the number to your next QBR.
Don’t bring a vendor pitch. Bring the leakage number. The conversation about what to do about it becomes obvious once the number is on the table.