Flora Dental Lab sells crowns, aligners and appliances to dental practices across England. It was prospecting cold lists while its own client base replied four times better, and pushing restorative work while 82.7% of its revenue came from orthodontics. The fix was not more outreach. It was measurement.
The lab had just repositioned from orthodontics-only to full range, and the marketing stack made results unknowable: campaigns running on purchased cold lists, an email history where half the addresses no longer delivered, replies landing in an inbox outside the sending tool, and a website whose search traffic was drifting toward American insurance-code queries: 7,968 US impressions for 25 clicks.
A B2B lab does not need traffic, it needs practices that send cases. The job was to connect every reply to a named account with real purchase history, find out which audience and which products actually respond, and rebuild the website as a UK-first asset instead of an accidental American one.
Lead-level campaign exports crossed with the lab's accounting export: every reply matched to a real account, what it buys and what it spends. No dashboard vanity numbers.
53 guides and 7 pillar pages migrated onto a single WordPress install with a redirect plan, then refocused UK-first once the data showed the US drift.
A 1,620-row suppression list with a recorded reason for every removal: dead chains, duplicates, bounces, non-dental addresses. Deliverability is a list problem before it is a copy problem.
One product, one offer, one deadline, one campaign a week, and lists built from the lab's own account base first. The data showed the best audience was already in the building.
Sources: lead-level Lemlist exports and the accounting export of January 1 to August 3, reported to the client on August 6, 2026; Search Console snapshots of August 7, 14 and 22.
| Metric | Cold lists | Own client base | Difference |
|---|---|---|---|
| Contacts emailed | 1,409 | 332 | 4.2x smaller list |
| Open rate | 41.2% | 57.8% | +16.6 pts |
| Reply rate | 0.8% | 3.3% | 4x |
| Bounce rate | 6.5% | 4.2% | lower |
| Replies | 11 | 11 | same replies, quarter of the list |
The accounting export showed 82.7% of seven months of revenue came from orthodontic work, and the top 50 practices carried 68.5% of it. The campaigns had been selling the wrong product to the wrong audience. Honest limit, stated to the client: order dates are missing from the export, so no individual campaign can yet claim a specific order. That attribution layer is the next build, not a number we will invent.
After the rebuild and migration, search impressions multiplied 15x from June to July, and UK clicks on the same rolling 3-month window grew 50% in the 8 days after the UK-first refocus of mid-August.

Every campaign figure comes from raw per-lead exports, not the tool's summary screen. The two disagree, and we publish the raw one.
Cold prospecting produced no traceable new client in the window. We publish that instead of hiding it, because it is exactly why the strategy changed.
A real laboratory serving practices across England, with a website you can visit right now.
Cold lists produced a 0.8% reply rate and no traceable new client here. Writing to the lab's own account base produced a 3.3% reply rate, four times higher, from a quarter of the volume. Reactivation beat prospection in this market.
It showed 82.7% of revenue came from orthodontics while the marketing pushed restorative work, and that the top 50 practices carried 68.5% of revenue. Campaigns now start from the lab's own purchase data, not from a bought list.
After migrating 53 guides and 7 pillar pages onto one canonical install, impressions grew 15x from June to July 2026, and UK clicks grew from 153 to 229 in eight days once the content was refocused on UK queries instead of American insurance codes.
On the call we look at your real send data and your real account base, and show you where the replies and reorders are hiding.
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