Proof, with the attribution attached.

Situation

A private-equity-backed urgent care group was spending steadily on paid channels while the analytics function ran on spreadsheets. Marketing reported conversions. Operations reported that the leads were not worth much. Both were right.

Constraint

Nothing connected an ad click to what the resulting patient was actually worth, so bidding optimized toward whichever conversion was cheapest to produce. Meanwhile the reporting layer that would have exposed the gap was manual, slow, and trusted by almost nobody.

Intervention

Rebuilt acquisition around return on ad spend rather than raw conversion volume, and replaced spreadsheet analytics with an integrated data ecosystem connected to parent-company infrastructure. Separately rebuilt the website, local search presence, and conversion pathways, and automated the record and claims ingestion that staff had been doing by hand.

Situation

A multi-site therapy provider was acquiring patients through paid search with no visibility into which inquiries became long-term, high-value care relationships. The patient journey spanned a CRM and a clinical system that did not talk to each other.

Constraint

The bidding platform could only optimize toward the event it could see — a form fill — which had almost no relationship to eventual value. Everything that determined whether a lead mattered happened downstream, in systems the ad platform never received signal from.

Intervention

Mapped the full patient journey across both systems and built a value-weighted funnel so that acquisition could optimize against long-term value rather than form submissions. Paired it with a website and navigation overhaul, service-area clarity, and cleanup of the internal automations that were generating noise instead of ownership.

Situation

A premium transportation business needed a serious digital presence and a paid acquisition program to match the quality of its service, in a market where most competitors compete on price and speed of quote.

Constraint

The demand side was the easy half. Quote response time, booking acceptance, and fleet capacity all sat upstream of whether new demand would convert into revenue — and advertising into a broken response workflow would have produced expensive proof that the channel does not work.

Intervention

Built the site, conversion architecture, and service and geographic structure first, then first-party attribution and lead routing, and only then launched paid search under explicit gating conditions. Booked revenue — not calls or clicks — became the measure of media performance. All infrastructure was built in accounts the client owns.

Situation

A consultative, high-touch flooring and design business was being told — by its market and by conventional wisdom — to adopt the ecommerce and instant-quote patterns its larger competitors used.

Constraint

The sale genuinely depends on a consultation. An instant estimator would have converted more visitors into worse leads, filtered out exactly the customers the business is best at serving, and traded margin for volume in a business whose economics run the other direction.

Intervention

Built the conversion path around qualified consultation requests rather than instant quotes, with first-party attribution, deliberate event design, service-area search structure, and a lightweight data architecture an owner can actually operate. Paid media was scoped geographically rather than sprayed across the metro.

Situation

A major manufacturer ran ERP-level reporting across 126 facilities on disparate systems, leaving finance and operations arguing about whose numbers were correct instead of what to do about them.

Constraint

Cost per unit was managed locally, with no reliable cross-facility view to identify which plants were structurally expensive versus temporarily unlucky.

Intervention

Directed development of integrated data infrastructure and ERP-level reporting across the network, redesigned the underlying data processes, and built an ad hoc ERP capability that replaced substantial licensed tooling. Trained roughly 530 non-technical users across accounting, finance, procurement, and operations.

Situation

A venture-backed gaming platform had a functioning data team, a full dashboard library, and stakeholders who did not trust or use either.

Constraint

Volume was mistaken for service. More dashboards and more granularity had made the output harder to use, and every new request lengthened a queue that already took weeks to clear.

Intervention

Simplified interfaces, enriched the production datasets underneath them, cut dashboard clutter, aggregated to the granularity people actually made decisions at, and reconfigured the request process and tooling. Added observability to catch data errors before users encountered them.