iCustomer vs LiveRamp | iCustomer

iCustomer outperforms LiveRamp.

iCustomer is the composable, neutral identity alternative to LiveRamp: identity stays in your warehouse. No rented network. No per-record data tax.

Capability

iCustomer LiveRamp What this changes for you
Decisioning framework FIRE scoring (Fit, Intent, Recency, Engagement) tied to a Goal -> KPI -> Target model Identity resolution and data collaboration; no decisioning layer
Where audiences run Sync into your ad accounts. We propose; you approve. Audiences onboarded into LiveRamp's network via RampID
Operating model Goal -> KPI -> Target -> Campaign -> Activation -> Outcome Match, onboard, and distribute; decisions left to you
Audience architecture OneSource immutable IDs you own, with a pre-unified signals waterfall Matched segments; audience knowledge spread across a network
Pricing model Audience-based fee with usage tiers. Zero percent of spend. Enterprise contracts priced per record and destination
Time to first activation Days. Trial begins on first sync. Enterprise onboarding and contracting cycles
Measurement Causal measurement loop with Decision Traces Clean-room measurement, assembled separately
Channels Meta, Google Customer Match, LinkedIn, Reddit, CTV via The Trade Desk, TikTok, and more Broad distribution network; no native decisioning

Who's a good fit

iCustomer is ideal when...

LiveRamp may fit when...

What you get on day one

Master audience, free to draft

Build, suppress, and tier your audience before you spend a dollar.

Goal-tied audience scoring

iCustomer's decision framework, applied to your CRM the moment it connects.

Native sync to your ad accounts

Audiences land in your Meta, Google, LinkedIn, Reddit, and The Trade Desk seats.

Decision lineage built in

Every activation traces back to the goal, KPI, and target it serves.

Integrates with the data clouds, CRMs, and ad platforms your team already runs on

Identity you own, no per-record tax, and causal proof of lift.

Turn your data into outcomes

Start free with Audience Loop. Or talk to us about a Platform pilot on your own data warehouse.