What Being #1 Actually Looks Like — In Six Real Accounts

The Problem

Budget was going to broad "dentist near me" terms with no negative keywords. All traffic landed on the homepage — not the implants or veneers page the ad promised. The account had never been touched since it was set up.

What We Changed

Rebuilt keyword structure around procedure-level intent. Added 80+ negative keywords to kill irrelevant traffic. Built dedicated landing pages for each service. Realigned ad copy to match what patients were actually searching for.

The Result

New patient bookings increased 5.5x in four months with no increase in ad spend. Cost-per-acquisition dropped 74%. The practice had to expand front desk capacity to handle the volume.

The Problem

A Smart campaign running on autopilot was targeting a 40-mile radius for a shop that realistically pulls from five miles. Budget was being burned on searchers who would never drive that far for an oil change.

What We Changed

Switched to manual CPC. Tightened the radius to six miles. Added call extensions with tracked numbers so we could measure what was actually converting. Killed the display network entirely.

The Result

Booked service calls jumped from 18 to 67 per month. Cost per booked call dropped from $94 to $31. The shop was fully booked three weeks out within the first quarter — something that had never happened in eleven years.

The Problem

The same budget was chasing awareness keywords ("what is project management software") and bottom-funnel buying intent — with no separation between them. No audience exclusions. Trial visitors who didn't convert were being retargeted with the same cold ad they'd already ignored.

What We Changed

Segmented campaigns by funnel stage. Paused all top-funnel spend and redirected it to high-intent queries. Built RLSA audiences for trial visitors who hadn't converted, and served them a different offer entirely.

The Result

MRR from paid search grew from $18,400 to $61,200 in six months. CAC dropped from $420 to $138. Trial-to-paid conversion held steady at 22% — meaning the volume increase came from better traffic quality, not lower standards.

The Problem

The account was running year-round with no seasonal adjustments. Broad match on "painting" was pulling in art supply searches and interior design queries. There was no radius cap — they were paying for clicks from zip codes the crew couldn't realistically serve.

What We Changed

Built a seasonal campaign structure with ramped budgets going into spring and summer. Switched to exact and phrase match only. Tightened targeting to zip codes with $500K+ home values. Built a new landing page leading with before/after project photos.

The Result

Quote requests went from 4 to 23 per month during peak season. Cost per quote dropped 72%. Close rate improved from 40% to 60% — the better targeting brought in homeowners who were already sold on the quality before they called.

The Problem

Shopping feed had generic product titles ("Dark Roast Coffee 12oz") that matched nothing buyers were actually searching. No negative search terms. No audience layering. Google was spending the budget on low-intent browsing traffic with no path to purchase.

What We Changed

Rewrote every feed title with flavor, origin, and format keywords that matched real search behavior. Built negative keyword lists from search term reports. Layered in-market audiences. Created RLSA campaigns targeting cart abandoners with a specific offer.

The Result

ROAS jumped from 1.4x to 4.8x. Monthly ad revenue grew from $8,200 to $31,600 on a 20% increase in spend. Google Shopping overtook Meta as the brand's highest-ROAS channel within five months.

The Problem

Smart bidding with zero conversion history was essentially guessing. All traffic went to the firm homepage — no intake-specific page, no clear next step. Competitor name bidding at $180/click was burning budget with a quality score of 2.

What We Changed

Built conversion history using micro-conversions (scroll depth, time on page, form start) before switching to value-based bidding. Created a dedicated intake landing page with one action. Paused competitor terms entirely until quality score recovered.

The Result

Qualified case leads went from 3 to 14 per month. CPL dropped from $1,840 to $490. Case sign rate held at 35% — meaning better leads, not just more of them. Cost per signed case fell below the firm's referral attorney rate for the first time.