The hero

Your email carries a number, not an opinion.

A prospect can argue with 'your site looks dated'. They can't argue with 'your booking page takes 4.2s on mobile — that's ~$3–6K/month'. Every issue we find is tied to the visitors and dollars at stake, with the signal, the assumptions and the math attached.

From a real audit

#1criticalSpeedModerate effort

Listing pages load too slowly on mobile

The site takes 4.2s to show its main content on mobile — buyers leave before a home loads.

Visitors/mo lost
+150–300
Revenue/mo at stake
$1,600–$3,200
▸ Show the math & the fix
Signal measured

Mobile LCP 4.2s · PageSpeed Performance 38/100 · hero image 2.1 MB uncompressed

Why it costs you

~70% of realtor traffic is mobile. A 4s+ load bleeds buyers on exactly the pages meant to convert them.

How we got to $1,600–$3,200
  1. ~2,000 monthly visits, ~70% mobile ≈ 1,400 mobile sessions
  2. Industry data: 4.2s LCP adds ~25–35% bounce vs a 2s load → ~350–490 lost sessions/mo
  3. At a 2% inquiry rate and ~1-in-40 inquiry→closed at ~$20K avg commission
  4. ≈ $1,600–$3,200/mo in expected commission lost to slow load
The fix

Compress and lazy-load hero/listing images, serve via an image CDN, and defer non-critical third-party scripts — target LCP under 2.5s.

The problem

What this fixes

Cold emails full of design opinions the prospect can shrug off.
Twenty minutes of manual research per prospect just to say something specific.
No way to justify your price, because nothing connects their problem to money.

How it works

Under the hood

01

Measure real signals

For each prospect: Google PageSpeed (speed, mobile, Core Web Vitals, SEO & accessibility), on-page SEO, tech stack, broken links and a live screenshot — measured, not eyeballed from a thumbnail.

02

Price it in their industry's terms

We estimate the prospect's traffic ourselves, then run each issue through their industry's conversion model to a defensible $ range — never a single made-up number you'd have to defend on a call.

03

Rank by impact, show the chain

Issues sort by money at stake, so you know which one to open the email with. Each carries a signal → assumption → dollars chain, and overlap between issues is deducted so the headline total stays conservative.

The difference

Old way vs. the way it should be

The old way

Generic critiques: "your CTA is weak, your load time is high."

With Digicitor

"Mobile LCP 4.2s → ~32% drop-off → ~$3–6K/mo" — with the fix beside it.

The old way

Hours of manual research to personalise one email.

With Digicitor

A specific, money-linked opening line for every prospect on the list.

See it on your own site.

Or open a live sample report →

Questions

Good to know

How can you estimate dollars without the prospect's analytics?+
We estimate their monthly traffic from public signals and their industry baseline (labelled as an estimate), then apply that industry's conversion + value model. Every figure is a range with its assumptions shown — defensible on a call, never presented as a guarantee.
What if a prospect's page has nothing to convert?+
We detect that and flip the frame instead of inventing a loss: "adding a booking path is worth ~$X/mo." You never open with a claim they can disprove in one reply.

Explore

Related capabilities

Proof Engine →Niche intelligence →AI redesign →

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