No vanity metrics. No "brand awareness" fluff. Just before-and-after numbers from businesses that installed identity infrastructure and watched the economics change.
Urban Essentials was spending $180K/month across Meta and Google but only retargeting 3.2% of their site visitors. Their retargeting pool was so thin they were bidding against themselves on the same 4,000 people every week.
We installed the identity layer across their Shopify store. Within 48 hours, we were identifying 71% of all visitors — not just the ones who added to cart. We pushed enriched audiences directly into their Meta ad account, replacing stale pixel audiences with verified, matched profiles.
Then we built a lookalike stack off their newly identified high-intent visitors. These audiences outperformed their old lookalikes by 3.4x on Day 1.
Apex was generating about 280 leads/month at $232 per lead. But 67% were tire-kickers who never picked up the phone. Their sales team was burning through callbacks on ghost leads.
We installed the identity layer on their 6 landing pages and cross-referenced identified visitors against homeowner data — property value, roof age, home equity, even solar panel eligibility. Instead of anyone who filled out a form, Apex's sales team got a curated list of identified homeowners who actually matched their buyer profile.
We also built a direct mail retargeting sequence for identified visitors who didn't convert online — a postcard hit their mailbox within 5 days.
ComplianceCloud had 12,000 monthly visitors but their SDR team was working off a purchased ZoomInfo list with 40% bounce rates. Their pipeline was drying up.
We deployed identity resolution with page-level intent tracking. Within a week, we were surfacing verified decision-makers at healthcare orgs who visited the pricing page, compliance checklist, or demo page.
Each identified visitor was enriched with title, company size, tech stack and delivered to HubSpot as a warm lead — complete with a "pages visited" field so SDRs knew exactly what to reference.
Ironclad was running the same generic "Free Trial" Meta ads to broad audiences. Every location competed for the same audiences, cannibalized each other's spend, and their CPL had been climbing 15% per quarter for a year.
We installed the identity layer across all 8 location pages and built geo-fenced identity pools — identified visitors were automatically bucketed by location. Then we layered behavioral data: gym membership intent, fitness app usage, health-conscious purchase behavior.
Each location ran hyper-local retargeting to identified visitors + lookalikes. We also built a win-back SMS sequence for identified visitors who didn't sign up.
Summit was buying mortgage leads from LendingTree and Bankrate at $35-50 per lead — but those same leads were sold to 4 other brokers simultaneously. Win rate on purchased leads: 4%.
We built them an owned first-party identity engine. The identity layer on their rate calculator and application pages identified visitors actively shopping for mortgages. We cross-referenced with credit-ready signals, home shopping behavior, and pre-mover data.
Result: Summit's loan officers were calling homebuyers who had just used their rate calculator — before they ever hit LendingTree. Exclusive leads, no competition, verified contact info.
Run INTEL and we'll show you exactly what invisible demand exists in your traffic. Then you decide.
Run Identity Scan (INTEL)