Gerrard's Insurance · lead → client · 26 May – 26 Aug 2026 · gerrards-crm synced 26 Aug 14:44 · generated 2026-08-26 14:44 NZ
Cohen is the lowest of the eight brokers measured — 13.2% against the team's 18.3%, and he is below the field in every single month of the window. This is the one gap of the three that clears significance on the full window (z = −2.03, p = 0.042), though it softens on mature-only leads (p = 0.087).
The gap is not uniform — it is entirely in web leads. On untagged web/inbound leads he converts 8.8% against the team's 16.4%. On phone leads he converts 46.2% against 28.1%, better than anyone here. He is not a weak closer; he is losing leads before the conversation starts. That got worse exactly as his load went from 49 leads in June to 123 in July.
June's 16.3% is his best month and his least trustworthy — he made zero calls in the week of 22 June while the office made 421, so he was out for roughly 15–26 June, and Dean came online mid-month and absorbed the volume. That leaves a 49-lead month weighted to the first fortnight. The honest comparison is July's 13.0% against May's 7.3%, with August tracking below July.
Rolling window smooths weekly noise (his cohorts run 4–33 leads). The line never touches the team line. Dots are individual weeks, sized by lead volume.
June is a short month for him — see the read above. His lead volume went up 2.5× between June and July while his conversion went the other way.
| Month | Leads | Won | Cohen | Team | Gap |
|---|---|---|---|---|---|
| May mostly pre-window | 110 | 8 | 7.3% | 21.2% | -13.9 |
| June on leave 15–26 Jun | 49 | 8 | 16.3% | 20.8% | -4.4 |
| July | 123 | 16 | 13.0% | 19.8% | -6.8 |
| August | 91 | 11 | 12.1% | 13.6% | -1.5 |
This is the whole finding: he beats the field on the phone and loses to it on web leads, which are 87% of his volume.
| Lead source | n | Cohen | Team | Read |
|---|---|---|---|---|
| (no source tag) | 147 | 8.8% | 16.4% | -7.6 pts |
| Phone Call | 13 | 46.2% | 28.1% | +18.1 pts |
| Client Referral | 3 | 66.7% | 33.3% | n too small |
| Networking Referral | 2 | 50.0% | 50.0% | n too small |
| Professional Referral | 2 | 0.0% | 29.2% | n too small |
Three systems count August differently, and only one describes leads a human actually worked. The lead-distribution service logged 171 rows for Cohen in August — but that is 150 distinct leads double-counted by the CRM tee, and 155 of the 171 were never delivered to GHL at all. Matching those 150 on email to where they actually landed: only 40 ended up with Cohen; the rest went to Kynwin (32), Dean (28), Jordan (22), Caitlin (11) and five others. Also worth knowing: only 47 of his 91 August leads appear in the digital pipeline at all — about half his book arrives by phone, referral or direct, and that is the half he converts best.
| Count | August | What it is |
|---|---|---|
| Whole business — GHL contacts | 437 | Every new lead, all sources, all brokers |
| Cohen — GHL assigned | 91 | The denominator used here. Leads GHL says are his |
| Cohen — lead-dist rows | 171 | 150 distinct · 155 never delivered to GHL |
client won contact tag, not opportunity status. Won opportunities are deleted from the GHL pipeline, so status understates wins by roughly 4× from May 2026.broker_earnings stopped at 22 Jun 2026 and conversions holds zero won rows, so a $500 policy counts the same as a $50k one.opportunities.first_contacted_at is NULL on every row in this database.enquiries.assigned_broker_id as a lead count. It is a shadow routing decision that matches real GHL assignment about 27% of the time, and it double-counts via the CRM tee.| Week | Cohen | All brokers |
|---|---|---|
| 2026-06-01 | 22 | 257 |
| 2026-06-08 | 15 | 400 |
| 2026-06-15 | 10 | 395 |
| 2026-06-22 | 0 | 421 |
| 2026-06-29 | 25 | 516 |
| 2026-07-06 | 40 | 418 |
| 2026-07-13 | 47 | 518 |
| 2026-07-20 | 89 | 557 |
| 2026-07-27 | 60 | 607 |
| 2026-08-03 | 87 | 557 |
| 2026-08-10 | 57 | 611 |
| 2026-08-17 | 79 | 699 |
| 2026-08-24 | 24 | 369 |