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Audience Match Booster

Turn Partial Records Into High-Match Audiences

Improve match rates across Meta, Google, LinkedIn, TikTok, and programmatic. Enrich identifiers, auto-refresh, and suppress overlap so more of your budget reaches real buyers.

Audience Match Booster loop—Sync, Enrich, Optimize, and Hash & Govern circling ‘your workflow’—showing privacy-safe hashing, enrichment, and cross-channel sync to lift ad platform match rates.

Unify and Verify Every Profile Before You Sync

Matches real people using verified first-party data and compliant partner enrich. Appends emails, phones, MAIDs, and addresses while deduplicating individuals and households. Improves match quality so each ad dollar reaches valid customers instead of duplicates or incomplete records.

Identity-resolution grid confirming emails/phones with confidence flags and governance columns—deduped, verified profiles ready for high-match exports to Meta, Google, LinkedIn, and TikTok.
No-code playbook diagram that enriches, safely hashes, suppresses, and exports audiences—AI agents orchestrate activation to Meta, Google, LinkedIn, and TikTok for revenue impact.

Activate AI-Guided Revenue Playbooks

Syncs enriched profiles to Meta, Google, LinkedIn, TikTok, and display platforms using auto-refresh and deduplication. Applies cohort-level overlap control and suppression lists. Ensures every campaign runs with accurate, current audiences while reducing waste from duplicated impressions.

Optimize With Continuous Learning

Analyzes match rate, reach, CPA, and ROAS with built-in telemetry. Feeds lift data back into enrichment and suppression logic for smarter scaling. Protects efficiency by learning what works and automatically prioritizing high-performing segments across platforms.

Activation performance bar chart tracking match rate, reach, and conversions by channel—closed-loop learning recommends improvements and reallocates spend to higher-performing audiences.

iCustomer Audience Match Booster FAQs

Answers for marketers using iCustomer to improve audience match rates and reduce wasted spend.

iCustomer Blog Posts

See how Decision Intelligence, dynamic ICPs, and a true decisioning engine help GTM teams move from channel-first to outcomes-first ABM and compounding growth in 2025.

Conceptual illustration emphasizing a shift from channel-first tactics to decision-first GTM—prioritizing who to move, when, and why.

How to Fix Failing GTM in 2026: Switch from Channel-First

Shift from channel-first to decision-first. Install a decision loop that unifies data, audiences, and actions.

Visual concept of a live, signal-rich ICP—segments ranked by fit and intent from 1P/2P/3P data to guide ABM plays and compounding growth.

Rethinking ICP in 2025: The iCustomer Methodology

Build a dynamic, signal-rich ICP and orchestrate ABM plays that compound growth across the funnel.

Abstract UI/navigator motif conveying a decisioning layer that evaluates context and selects the next best action across channels—including “do nothing.”

Your Decisioning Engine: The Navigator for Your MarTech Stack 

Why every stack needs a navigator that selects the right message, moment, and channel—automatically.

In under an hour

Get Started

Spin up a sandbox, sync a sample to your warehouse, and run your first Discover → Enrich → Activate workflow in under an hour.

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