Ten builds, and what actually moved.
Every one of these starts with a baseline we measured before touching anything, so the after number means something. Where a result was driven by something other than our work, we say so inside the study rather than claiming it.
- Home Services
- Roofing
- Med Spas
- Dental
- Mortgage
- Law Firms
- Fitness
- Auto Services
- Solar
- Agencies
2.4x storm capacitySurviving a 400-lead storm week without hiringHail season used to break their intake completely. We built triage that sorts by claim stage and books inspections against crew territory.
3.1x rebooking rateAn AI agent that books consultations at 11pmA third of their enquiries arrived after closing and sat until morning. Now they get answered, qualified and booked before anyone opens the clinic.
31% fewer no-showsRefilling the chair that just cancelledA no-show rate everyone had accepted as normal turned out to be an untuned reminder sequence and an unused waitlist.
$610k recoveredEleven thousand dead records, worth $610kA back-book nobody had touched in four years, segmented on original rate and loan age, then mobilised in a single weekend.
0 records lostFourteen years of Keap history, migrated without downtimeBoth systems ran in parallel for three weeks. The cutover happened on a Tuesday morning and nobody in the firm noticed.
24% lower churnCatching cancellations six weeks before they happenAttendance data already showed who was leaving. Nobody was reading it. We turned the drop-off signal into a coach conversation.
3.4x work recoveredThree years of declined work, finally called backEvery recommendation a customer had ever turned down, sitting in the shop system. We sequenced follow-up to the actual safety interval.
2.9x referral rateTurning a five-week permit silence into referralsHomeowners went dark between contract and install and stopped referring. Milestone updates fixed a problem nobody had named.
$41k MRR in 9 monthsA white-label launch that survived its first yearThey had switched SaaS Mode on twice and abandoned it twice. The third attempt started with a margin model instead of a price.How to read any agency case study
Ours included. Three questions separate a real result from a well-designed slide.
- Was there a baseline?A percentage lift without a starting number can mean anything. Two extra bookings on a base of four is a fifty percent lift and not a business change.
- What else changed at the same time?If ad spend doubled during the engagement, the system is not what produced the growth. We disclose concurrent changes inside each study.
- How long did it hold?A spike in month one is easy. The number worth trusting is the one still true at month nine, which is why our studies quote the later figure where we have it.
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