Lookalike Audience Expansion

Your ad platforms are building lookalikes with the wrong data.

BlueConic delivers higher ROAS by training lookalike models on your full first-party customer data. Audiences update in real time, and AI agents move budget to what's converting, without you having to touch a dashboard.

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See how leading B2C brands run Growth Plays without slowing down for a sync.

Trusted by 300+ enterprise brands

Loved by marketers

How BlueConic helps

Squeeze more ROAS from the same budget

Audiences trained on your full purchase and behavioral history find higher-intent prospects than platform lookalikes can. You get more revenue from every dollar without increasing spend.

Watch CPA compound the longer you run it

AI agents track which audiences and channels are converting, then shift budget there automatically. Performance compounds over time instead of plateauing after your first optimization pass.

Reach your next best customers across every channel

The same high-value audience activates across paid media, onsite, and owned channels in one motion. You stop managing siloed audiences per platform and start running a coordinated acquisition strategy.

Proven Results

50%

more revenue from paid social compared to native Meta lookalike audiences

"Essity's Consumer Goods Americas unit saw a 42% increase in revenue in its online shop using BlueConic compared to traditional Meta audiences."

Stephanie Terra

Digital Marketing and Ecommerce Manager, Essity

How It Works

Connect your warehouse, keep your data

BlueConic reads your customer data directly via zero-copy Delta Sharing. Your models train on the full picture of who your best customers actually are.

Models score audiences in real time

Warehouse-native AI identifies and scores lookalike profiles continuously, not on a batch schedule. Your audiences reflect who your customers are today, not who they were last week.

Agents move spend to what's converting

AI agents activate audiences across paid, owned, and onsite channels and reallocate budget as performance shifts. Your ROAS keeps improving after launch, not just during setup.

Common questions

How is this different from lookalike tools already inside Google and Meta?

Platform lookalikes train on platform behavior, which is one channel's slice of your customer. BlueConic trains on everything in your warehouse, then activates that audience everywhere, so the signal is richer and the reach isn't locked to one publisher.

Does this require a long IT project to set up?

BlueConic connects to your warehouse via Databricks Delta Sharing, which means no data migration and a minimal IT footprint. Most retail brands are up and activating within weeks.

How quickly will we see an impact on ROAS?

Audiences activate as soon as models finish training, and agents start shifting spend based on live performance signals immediately. Most customers see measurable ROAS improvement within their first full campaign cycle.

We already have a CDP. Why would we need this?

Most CDPs batch-refresh audiences on a fixed schedule and don't optimize spend across channels. BlueConic runs models directly on live warehouse data and adds autonomous agents that keep shifting budget as performance changes, something a standard CDP isn't built to do.

Your competitors aren't waiting on better data.

See how BlueConic builds lookalikes from your first-party data and puts autonomous spend optimization to work in a 30-minute demo.

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