Results

What happens when active buyers start choosing you

Eleven engagements, written up the way we report them internally: what was actually wrong, what we changed, and what the numbers did afterwards. Nothing here is a rounded-up headline with no work behind it.

Featured case Dental

AI Visibility Assessment Drives $382,000+ in New-Patient Revenue for Dental Practice

$382,000+ tracked new-patient revenue in under twelve months Tracked, not modelled. Every dollar in this figure is tied back to a patient the practice can identify.

Challenge: The practice had no reliable way to tell whether it was being surfaced when prospective patients searched — including inside AI-generated answers. Visibility was being judged on impressions rather than on patients who actually booked.
Solution: An AI visibility assessment mapped where the practice appeared, where it was absent, and which of those gaps sat in front of real demand. New-patient activity was then instrumented so bookings could be traced back to the source that produced them.
Result: More than $382,000 in tracked new-patient revenue in under twelve months, attributed to identified patients rather than estimated from traffic.

Case library

Ten more, by industry

Each one starts with the thing the owner did not know was happening. Most reports show activity. These show what the activity produced.

Case 01Design-Build

You’re making decisions on data you can’t trust

~90%reduction in invalid submissions

~6.5×ROAS up

53%CAC down

Conversion quality doubled

Challenge: Every form fill was being counted as a lead, with no check on whether a person was behind it. Budget was being moved on a number that did not survive inspection.
Solution: Invalid and automated submissions were filtered out at the source, and conversion tracking was rebuilt so only qualified activity was counted.
Result: Invalid submissions fell around 90% and conversion quality doubled. ROAS rose roughly 6.5× while cost to acquire a customer dropped 53%.

Case 02Premium Design-Build

Half your leads aren’t real — and you’re paying for all of them

73%cost-per-click down

~90%bot activity down

Engagement nearly doubled

Challenge: A large share of paid traffic was automated. Those clicks were billed at exactly the same rate as a genuine prospect.
Solution: Bot and invalid traffic were identified and excluded, and delivery was tightened so spend reached people who could realistically become customers.
Result: Cost per click fell 73% and bot activity dropped around 90%. Engagement from the traffic that remained nearly doubled.

Case 03Design-Build

Your ‘high-intent’ keywords are probably costing you customers

80%of total leads came from early-stage searches

~70%cost per conversion down

Challenge: Spend was concentrated on a narrow set of terms assumed to be high intent. Those terms were also the most expensive and the most contested.
Solution: Search terms were reviewed against conversions rather than assumptions, and budget was redistributed toward earlier-stage searches that were quietly producing leads.
Result: 80% of total leads came from early-stage searches, and cost per conversion fell by around 70%.

Case 04Competitive Services

Your best customers may be searching your competitors, not you

80%+cost per lead down by more than 80%

Challenge: Buyers in the market were searching by competitor name rather than by service. The business was absent at the exact moment those buyers were comparing options.
Solution: Campaigns were built to appear against competitor searches, with messaging written for someone already in comparison mode.
Result: Cost per lead dropped by more than 80%.

Case 05High-Ticket Services

More leads won’t help if your best customers never fill out forms

Calls became the highest-performing conversion channel

Near-zero bot activity

Challenge: The highest-value buyers picked up the phone instead of completing a form. The strongest demand in the account never showed up in the lead reporting.
Solution: Calls were instrumented and tracked as conversions in their own right, and the traffic feeding them was cleared of automated activity.
Result: Calls became the highest-performing conversion channel, with near-zero bot activity in the remaining traffic.

Case 06B2B

You don’t need more traffic — you need control over who you reach

High-value traffic share increased significantly

Invalid activity stayed minimal

Challenge: Volume was not the constraint. Too much of the traffic came from audiences that were never going to buy, which made every performance number harder to read.
Solution: Targeting and exclusions were rebuilt around the audiences actually worth reaching, and invalid activity was filtered on an ongoing basis rather than reviewed after the fact.
Result: The share of high-value traffic increased significantly while invalid activity stayed minimal.

Case 07B2B SaaS

Events don’t create customers. Follow-up does.

0.24%CTR

120%above the B2B display benchmark

3new clients attributed

Challenge: The event produced conversations and nothing structured behind them. Interest cooled in the weeks nobody was following up.
Solution: A display follow-up campaign was run against the event audience so the brand stayed in front of attendees after they went home.
Result: A 0.24% CTR, 120% above the B2B display benchmark, with three new clients attributed to the campaign.

Case 08HVAC

Turning HVAC awareness into measurable leads

580website visits

24measurable leads

0.13%CTR

Challenge: Awareness advertising was running with no way to tell whether it produced anything. The spend could be defended or cut with equal confidence, which is another way of saying nobody knew.
Solution: Campaigns were pointed at tracked destinations so visits and lead actions could be counted against the media that created them.
Result: 580 website visits and 24 measurable leads at a 0.13% CTR — awareness activity with a number attached to it.

Case 09Restaurant

Turning nearby hotel guests into restaurant visits

70campaign-attributed visits

~$5per visit

300%increase in traffic

Challenge: Guests staying a short walk away were the obvious audience. There was no way to reach them at the right moment and no way to confirm any of them turned up.
Solution: Nearby hotels were targeted geographically, and visits were measured and attributed to the campaign rather than assumed from a lift in bookings.
Result: 70 campaign-attributed visits at roughly $5 per visit, alongside a 300% increase in traffic.

Case 10Medical Spa

Geofencing helped social ads perform 3–4× better

116,000impressions

1,200clicks

8measured store visits

$15cost per conversion

4.02%social CTR

Challenge: Social advertising was reaching a broad audience with no geographic discipline, and nothing connected it to people walking through the door.
Solution: Geofencing narrowed delivery to defined locations, and store visits were measured alongside impressions and clicks so performance could be judged on more than engagement.
Result: 116,000 impressions and 1,200 clicks produced 8 measured store visits at $15 cost per conversion, with a 4.02% social CTR.

Read this before you compare

What these numbers do and don’t mean

These are real engagements with real figures. They are not a forecast for your business, and we will not present them as one. See what an engagement costs.

Results vary by industry. Deal size, sales cycle, competition and how people search differ enormously between a design-build firm and a B2B SaaS company. A figure from one says very little about the other.
Results vary by starting point. Several of the improvements above are large because what was in place beforehand was badly broken. A well-run account has less headroom, and we would tell you that on the first call.
Results depend on implementation. Most of this work only pays off if the changes are actually adopted — calls answered, follow-up done, CRM kept current. Where that does not happen, the numbers do not follow.
Measurement windows differ. Each case reports the period it was measured over. Comparing a six-month figure with a single-campaign figure is not a like-for-like comparison.

We do not guarantee results. Nothing on this page is a projection, a promise, or a typical outcome. What we will commit to is showing you the method before you buy anything, telling you where we think the leaks are in your setup, and reporting the same way afterwards — including the parts that did not work.

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