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Attribution & Analytics

Know What's Working. Cut What's Not. Let AI Show You.

​Connect every channel to pipeline and revenue with multi-touch attribution. AI agents surface what's driving results, what's wasting spend, and where to shift budget next. No more guessing. No more spreadsheet stitching.

Attribution and analytics hero showing AI powered multi-touch attribution that measures channel impact and recommends budget shifts across ads, email, and web to improve pipeline and revenue.

From Vanity Metrics To Revenue Truth

Decision Intelligence for Attribution & Analytics

 iCustomer unifies campaign, engagement, and revenue data in your warehouse. AI agents attribute impact across touchpoints, surface insights, and recommend actions, so you optimize with confidence, not gut feel.

Attribute Across Every Touchpoint

Track the full journey, from first ad impression to closed deal. Multi-touch models (linear, time-decay, position-based, data-driven) show which channels and campaigns actually drive revenue.

Multi-touch attribution diagram tracking the journey from first ad impression through LinkedIn, email, mobile, and in-app touchpoints to a closed deal, with channel revenue contribution by campaign.
Visualization connecting ad spend to revenue by unifying ad platform data, CRM, and revenue systems in the data warehouse to report CAC, ROAS, and LTV by channel and cohort.

Connect Spend to Revenue

Unify ad platform data, CRM, and revenue systems in your warehouse. See CAC, ROAS, and LTV by channel, campaign, audience, and cohort, without manual stitching.

Let AI Surface the Insights

AI agents analyze performance patterns, flag anomalies, and recommend where to scale, pause, or experiment. Spend optimization without the spreadsheet work.

Optimization loop graphic where an AI agent analyzes warehouse performance, flags anomalies, identifies where to scale, pauses low performers, and runs tests to improve spend efficiency.

iCustomer Attribution & Analytics FAQs

Answers to common questions about multi-touch attribution, full-funnel reporting, and AI-driven recommendations.

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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.

GTM Guide 2026
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.

ABM ICP Guide
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.

Decisioning Guide

In under an hour

Get Started

Connect your data, see your first attribution report, and get AI-powered recommendations, in under an hour.

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