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Precision Targeting

PRECISION TARGETING / SERVICE

Stop paying
for the wrong audience.

Most ad budgets bleed into mismatched audiences — wrong country, wrong intent, wrong stage of awareness. We build precision-targeted funnels using first-party data, server-side tracking, and machine-learning audience modeling. Less spend. Higher ROAS. Cleaner attribution.

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// Why precision matters now

Broad targeting is silently broken

/01

iOS 14 broke attribution

Pixel-only tracking lost 30–60% of conversion signal post-iOS 14. Most agencies still use pixel-only setups and don’t know which audiences actually convert. We deploy server-side tracking with full event coverage.

/02

Lookalikes from bad seeds

If you build lookalikes from “all leads” you get a model trained on bonus hunters and tire-kickers. We build lookalikes from depositor and high-LTV cohorts only — the model finds people who actually pay you.

/03

Geo waste & compliance fines

Loose geo-targeting reaches countries where you can’t legally operate — wasted spend and regulator complaints. We fence campaigns to your licensed jurisdictions at IP, language, and device level.

/04

Same creative for every audience

Cold prospects, warm visitors, and existing customers all get the same ad. Result: cold audience CPL is fine, warm conversion rate is poor. Right message at the right stage = 2–3x improvement on the same spend.

// How we target

Three layers. Surgical accuracy.

Most agencies pick audiences by intuition. We build them from data — your data, layered with platform signal and server-side conversion truth. Every campaign has a defensible reason for every audience choice.

LAYER 01

First-party data

Pull customer data, depositor lists, and high-LTV cohorts from your CRM. Hash and upload as Custom Audiences. Build lookalikes from depositors only — not from “all signups”. Quality of seed = quality of model.

LAYER 02

Server-side tracking

Conversions API for Meta. Server-to-server events for TikTok & Google. Recover the 30–60% of conversion signal lost to iOS 14, ad blockers, and cookie loss. Better signal = better algorithm decisions.

LAYER 03

Funnel-stage segmentation

Cold prospects, mid-funnel visitors, abandoned signups, registered-no-deposit, depositors. Each gets a different creative angle, message, and offer. The same dollar spent on a warm audience converts 3–10x better than a cold one.

// Process

From data to deployment

/01

Data extraction

CRM & data warehouse pulls. Cohort definition (FTD, high-LTV, churned, dormant). Hash & upload as Custom Audiences with ongoing daily sync via API.

/02

Tracking infrastructure

Meta Conversions API. TikTok Events API. Google Enhanced Conversions. Stape/Customer.io server-side container. Event QA against your CRM truth.

/03

Audience build

Cold seed lookalikes. Funnel-stage retargeting buckets. Geo & compliance fences. Exclusion logic to prevent overlap and audience cannibalization.

/04

Test & iterate

Audience tests with statistical significance thresholds. Match creative to funnel stage. Weekly precision audits. Audience refresh cadence built into the operations rhythm.

2–3x

ROAS LIFT TYPICAL

+58%

CONVERSION SIGNAL RECOVERED

21 days

FROM SETUP TO LIVE

3 layers

DATA + TRACKING + STAGE

// FAQ

Common questions

Is this a separate service from your ads management?
It can be either. For full ads-management clients, precision targeting is included by default. For operators with in-house ads teams, we deliver this as a standalone setup project (one-time fee + monthly maintenance).
What if my CRM doesn’t have an API?
Most do. The few that don’t (legacy in-house systems) we connect via scheduled CSV uploads. Either way, audience refresh frequency is daily for active campaigns.
Do you handle GDPR & data privacy?
Yes. All first-party data is hashed before transmission. We sign DPAs. Geo-restricted handling for EU/UK customer records. Conversions API setup uses event-level deduplication to avoid double-tracking.
Will this work with Performance Max or Advantage+?
Yes — better than without. AI-driven campaigns are only as good as the signal you feed them. First-party data uploads, server-side events, and clean conversion definitions all dramatically improve algorithm decisions on these black-box products.
How quickly do I see ROAS lift?
Tracking improvements show up immediately (you stop losing signal). Audience improvements take 2–4 weeks for the algorithm to relearn. Total typical timeline to measurable lift: 30–45 days.
Can you work with my existing creative team?
Yes. We hand them a creative brief per audience segment — cold lookalike vs. warm retargeting vs. abandoned signup all need different angles. They produce, we deploy. Or we do both.
What’s the cost?
Standalone setup: $5,000–$12,000 one-time depending on data complexity, plus $2,000–$5,000/mo maintenance. Bundled with our full ads management retainer: included. We send a fixed quote after the strategy call.
Calls are recorded so the team can follow up

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NOW DEPLOYING / Q2 2026

Ready to stop wasting spend?

30-minute call. We review your current tracking and audience setup, identify the biggest signal leaks, and quote a fixed scope for fixing them. No deck. Just numbers.

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FREE / 30 MIN / NO COMMITMENT / NDA AVAILABLE