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Click to See Comparison

iCustomer vs Clay

Review a detailed feature and pricing perspective. See identity resolution, suppression and overlap controls, channel activation, and attribution. Understand how iWorkers help teams cut CAC and improve ROAS while keeping data in your cloud.

iCustomer vs GrowthLoop

Compare data models, audience creation, activation breadth, and agent workflows. Learn how a warehouse native Decision OS coordinates identity, signals, and policies to deliver faster execution and measurable lift.

Traditional vs Agentic ABM

See how agentic decision loops augment your team with continuous monitoring, next best actions, and budget guardrails. Move from manual lists and static rules to live audiences, higher match rates, and closed loop optimization.

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

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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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