Customer behavior doesn’t stand still. AI agents continuously learning from your warehouse data ensure your lookalikes don’t either.

Reach continuously updated, high-value audiences to drive higher revenue from every advertising dollar—faster and with less waste.
Engage consistent, high-value audiences across paid, owned, and onsite channels, while agentic optimization boosts performance across every touchpoint.
Activate and scale lookalike strategies faster than ever before through no-copy data sharing via Databricks Delta Sharing.
Access live customer data using zero-copy Delta Sharing. No ingestion. No syncing. No duplication.
Models run directly on your data to score customers in real time, keeping lookalike audiences current.
Use warehouse-native models to identify and score lookalike audiences, then activate them across channels.
As performance changes, focus adjusts to the channels delivering best results to maximize CVR.
Leverage AI agents to shift budget to the audiences and channels driving results as performance changes.
Reduce wasted spend and autonomously coordinate decisions across channels. No optimizing in isolation.

Lookalike Audience Expansion is different from Ad platform lookalikes, which rely on limited, channel-specific data. BlueConic uses warehouse-native models trained on your full customer signals, then applies agentic optimization across channels to drive better results.
Lookaline audience activate across channels using warehouse-scored profiles available in Blueconic. These are used by Blueconic’s AI agents to build audiences and optimize activation across paid media, onsite experiences, and other channels to drive the best possible results.
Lookalike models score profiles based on all relevant customer data. They are trained and fine-tuned against historical data and live signals fed to your warehouse by Blueconic. BlueConic accesses those scores without copying data and activates audiences against them.
BlueConic's Lookealikes are agentic because it deploys AI agents that continuously evaluate performance, shift spend, and feed results back into warehouse models to improve targeting and outcomes over time.
Customers typically see higher ROAS, lower wasted spend across channels, and faster learning cycles as agents optimize how and where lookalikes are used.
Use the Lookalike Audience Expansion Growth Play when you want to efficiently acquire new customers who behave like your best buyers and improve cross-channel acquisition performance.
A lookalike audience is a group of new prospects who share similar behaviors and traits with your highest-value customers, identified using predictive modeling.
Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Identify high-value audiences who behave more like your best customers.
Improve ROAS by optimizing media spend around high-intent audiences.
Expand brand discovery and capture demand within consumer AI assistants.
Convert anonymous engagement into known profiles you can act on.
Capture declared preferences to deepen customer understanding over time.
Guide purchases with an AI shopping assistant to increase CVR and AOV.
Shorten the path from browsing to buying through real-time personalization.
Turn at-risk revenue into conversions with timely, personalized offers.
Intelligently grow AOV with personalized add-ons and smart recommendations.
Bring back inactive customers with tailored outreach that turns browsing into purchase.
Drive repeat purchases & engagement with personalized, timely loyalty incentives.
Protect revenue and capture additional purchases tailored replenishment offers.
Identify early signs of attrition and intervene before you lose customers.
Lower CAC by turning your best customers into a referral engine for new customers.