Client Results

Case Studies

Health insurance, legal services, moving and relocation, ecommerce, retail, automotive finance, auto transport, and dental. Every result came from the same approach: connecting revenue events back to the original ad click so the algorithm optimizes on what actually pays.

Current Case Studies

Why the Same Attribution Infrastructure Works Across Verticals

Signed retainers, collected payments, confirmed bookings, completed loan applications. Each account below had a revenue event the ad platform could not see. The work was connecting that event back to the original ad click. The results followed.

20×
Ad spend growth · 92% accuracy

Health Insurance

National health insurance brokerage scaling from $5K to $100K+ per day (about $150K to $3M+/month). Third-party lead vendors replaced entirely. Proprietary phone tracking and Hyros offline conversion infrastructure rebuilt around actual premium value rather than call volume.

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2.5×
Sustained ROAS · 93% accuracy

Moving & Relocation

National moving broker scaling from $20K to $100K+ per day (about $610K to $3M+/month). Third-party leads replaced in 90 days. Off-season revenue exceeded prior peak season at 13 months. 30–40% quote-to-booking conversion versus 5% on shared leads.

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4.2×
ROAS sustained · 5× spend growth

Legal Services

National immigration law firm sustaining 4.2x ROAS for six years. Rebuilt from a $30K weekend disaster. Salesforce integration tracking signed retainers rather than inquiry forms. 150–180 retainers per month at peak.

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50%
CPL reduction · 2.7× spend growth

Dental Lead Generation

National dental lead gen: 50% lower cost per appointment at $400K/month. Optimized on scheduled appointments and completed applications rather than inquiry forms. 1,000 appointments per month at under $400 each.

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130%
Profit ROAS · 4× spend growth

Ecommerce

BNPL ecommerce retailer: from unprofitable to 130% profit ROAS. ERP integration calculating per-transaction profit (product margin plus financing commission) passed as dynamic conversion value. $156K per month in profit at current scale.

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300%
Blended ROAS · 6.7× spend growth

Omnichannel Retail

100-store national retail chain attributing $340K/month in in-store revenue. Loyalty program POS integration attributed in-store revenue back to original ad clicks, exceeding online ecommerce. Five years, two ownership changes.

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$227
Cost per delivery · 22K vehicles/yr

Automotive Finance

21 Buy Here Pay Here dealers with portfolio quality nearly doubled. Four-tier CRM scoring connected to ad platforms via device fingerprinting. Tier 1 and 2 customer proportion grew from 24% to 46% while delivery volume held steady.

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15×
Spend in 4 months · 86% accuracy

Auto Transport

Auto transport startup reaching $7M annual run rate in four months. Three months of infrastructure build before aggressive scaling. Proprietary deduplication layer handling non-standard payment processor data. 21-day scale-up from $700 to $12K per day (about $360K/month).

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3
Google-authored case studies, 2025

Google Published

Three case studies published by Google Ads in 2025 naming LGG Media and Juan Colicchio as agency partner. Google AI Max for Search trained on offline conversion data across health insurance, moving, and relocation, measured over 45-day windows.

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All clients are anonymized. Industry, results, and methodology are accurate. Client names and identifying details are withheld. Additional case studies are added as accounts mature.

One Methodology

How LGG Media Closes the Loop Between Ad Spend and Revenue

Every account above shared the same starting condition. The business had a conversion event that mattered commercially: a signed retainer, a collected payment, a confirmed booking, a high-quality loan application. The ad platform could not see it.

The algorithm was optimizing for a proxy event that did not predict revenue. LGG Media built the integration that connected the commercial event back to the original ad click.

Using offline conversion infrastructure, the algorithm received the correct signal. Budget concentrated on the traffic that produced paying customers. The proxy event stopped driving decisions. The specific integration differs by business type. The logic does not.

What changes when the signal is correct

  • The algorithm stops optimizing for proxy events: form fills, calls, clicks.
  • It starts optimizing for revenue events: payments, retainers, booked moves.
  • Budget concentrates on audiences and queries that produce paying customers.
  • Cost per acquired customer falls as conversion quality improves.
  • Scale becomes possible because every dollar produces a measurable return.
The Engagement Model

Why LGG Media Clients Stay for Years

Scope, price and terms are set in the proposal. No annual contracts. The longest active client tenure is over six years. When the attribution is working and the numbers are moving, there is no reason to leave.

Renewed on results

No annual contracts. Clients renew because the numbers hold.

6+ year tenures

The accounts on this page have been active for years, not months. Retention at that level does not happen without consistent, measurable return.

$100K+ monthly spend

LGG Media works with advertisers spending $100,000 or more per month. The attribution infrastructure is built for budgets where signal quality determines outcome.

Next Step

Is an Attribution Gap Limiting Your Ad Spend?

If you are spending $100K or more per month on paid advertising and your platform-reported results do not match your actual revenue, the gap between those two numbers is the most likely cause.

Request a Discovery Call →