Personalization at scale
A dentist's leak is not a restaurant's leak.
The research that makes outreach land is knowing how that business actually makes money. We ship eight typed industry packs — each with its own money model — and detect which one applies to each prospect automatically.
From a real audit
Real Estate (Canada)
visits × (inquiry rate 1.5–3%) × (inquiry→closed ~1-in-40) × ~$20K avg commission
Dental
visits × (booking-request rate 2–5%) × (request→booked 50–70%) × first-year patient value
Home Services
visits × (quote-request rate 3–7%) × (quote→booked 40–60%) × avg job value
The problem
What this fixes
How it works
Under the hood
Auto-detect the industry
We read each prospect's site and classify it into one of eight packs with a confidence score. Below the floor we fall back to a general small-business model — a lead is never a dead end.
Apply that pack's money model
Each pack carries its win-unit (a new patient, a booked job, an order), conversion + close benchmarks, and a formula the email restates — so the number sounds like their business, not a template.
Tune priorities & language
Each pack emphasises different issues and speaks that industry's vocabulary, so the email reads like you spent an hour on their business.
The difference
Old way vs. the way it should be
The old way
One design lens applied to every prospect on the list.With Digicitor
Eight money models — dental, home services, e-commerce, legal, med spa, restaurant, real estate, general SMB.See it on your own site.
Or open a live sample report →Questions
Good to know
What if a prospect's industry isn't one of the eight?+
Explore
Related capabilities
Audit a prospect. See what your email could say.
Drop in any prospect's URL. In about two minutes you'll see the report they'd receive and the angle your email would open with. No card, no signup.
Free · no card · bulk CSV campaigns inside the app