Static media strategies were built for predictable demand. Today’s demand isn’t predictable, and your spend can’t afford to be either. Media has to operate in real time. Optimize for the right audiences with AI agents that detect emerging intent and shift spend automatically.

Rank intent before it reaches media platforms, suppress low-value audiences, and let AI agents continuously reallocate spend toward active demand.
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.
Capture what customers tell you and how they behave, then automatically feed that into your warehouse.
Identify which audiences are most likely to convert and prioritize them for targeting.
Rank audiences in Databricks before activation.
Autonomously coordinate activation and spend across channels to reduce waste and maximize conversion lift.
Adjust activation and budget dynamically as intent updates in Databricks.
Coordinate spend across channels without copying data, so optimization keeps pace with real customer behavior.

Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Lookalike Audience Expansion
Intent-Based Targeting
AI Discovery Optimization
Anonymous Visitor Identification
Progressive Profiling
Vwam
First-Purchase Acceleration
Abandon Cart Recovery
Order Value Expansion
Customer Reactivation
Loyalty Tier Progression
Smart Replenishment Upselling
Customer Drop-off Prediction
Advocacy Growth
Intent modeling is done directly in your data warehouse, such as Databricks, using your first-party customer data. As new customer interactions occur, those updates feed into the warehouse, so intent predictions stay current.
Intent-Based Targeting with BlueConic uses intent ranked in your data warehouse before audiences are activated. Meta and Google generate intent signals inside their own platforms, while intent-based media targeting applies the same warehouse-ranked intent consistently across all paid channels.
BlueConic AI agents optimize spend by continuously adjusting activation and budget based on live performance and updated intent. As results change, agents shift spend across channels to reduce waste and improve conversion efficiency.
Zero-copy architecture reduces latency and cost by using data directly in your warehouse instead of moving or duplicating it. This eliminates data sync delays and lowers storage and processing costs while keeping targeting up to date.
Intent-based targeting is a marketing approach that identifies people actively researching a topic, product, or solution based on real behavioral signals (like search queries, content engagement, and comparison activity) so you can reach in-market buyers with messaging that’s timely, relevant, and more likely to convert.
Use the Intent-Based Targeting Growth Play when you want to prioritize high-intent audiences before media spend is committed and dynamically shift budget as intent changes—helping increase ROAS, lower CPA, and reduce wasted spend across paid channels using warehouse-ranked intent.
Intent-Based Targeting improves ROAS by ranking high-converting audiences in your data warehouse before activation, suppressing low-intent segments, and dynamically reallocating spend across channels as intent changes—so more budget goes toward audiences most likely to convert.