TripleLift launches TL Spark AI layer for ad buying

TripleLift has launched TL Spark, which it describes as an intelligence layer for digital advertising.

The product is designed to bring together supply, creative, audience data, measurement and optimisation in one environment. It is built on TripleLift's existing infrastructure across a network of more than 5,000 publishers spanning display advertising, retail media and connected television.

The launch comes as adtech groups race to define how artificial intelligence will be used in media buying and campaign management. TripleLift is positioning TL Spark around what the industry has begun to call agentic workflows, in which software tools make decisions or recommendations across several parts of a campaign rather than carry out one narrow task.

Market data cited by TripleLift points to growing commercial interest in that approach. Advisory firm Madison and Wall has estimated that AI-based ad spending will reach USD $57 billion, while the IAB has said two-thirds of ad buyers are focusing on agentic tools for buying and execution.

At the centre of TripleLift's argument is the view that the advertising market remains fragmented. Creative production, audience targeting, media supply and campaign measurement are often handled through separate systems, making it harder to assess how one variable affects another during a campaign.

TL Spark is meant to address that by combining five areas: curation of deals across channels; creative adaptation of brand assets; audience targeting using publisher first-party data and other signals; measurement, including attention and brand lift; and optimisation based on campaign performance.

The system is designed to identify patterns across several variables, including how different creative formats perform with different audiences and inventory types. Those findings can then inform changes while a campaign is running, as well as future planning.

TripleLift has historically focused on helping publishers sell premium advertising inventory across the open web. That gives it a sell-side position in the market, with access to supply-path decisions, publisher data and curation tools that influence how ad budgets are deployed.

TripleLift argues that this sell-side position is becoming more important as advertisers seek measurable returns and publishers want more control over how inventory is packaged and sold. In practice, TL Spark is meant to let spending shift between combinations of inventory, audience segments and creative treatment based on observed results.

Dave Helmreich, chief executive officer of TripleLift, set out that pitch in the launch announcement. "Advertisers are being told that agents will solve everything, but most solutions still optimize workflows in isolation," said Helmreich. "With TL Spark, we're introducing an intelligence layer that understands and orchestrates the full transaction - from supply discovery and creative selection to audience and measurement - so each campaign gets smarter over time and delivers better outcomes."

The broader adtech industry has been rolling out AI features across planning, buying and reporting products, but many of those tools still focus on automating specific tasks. TripleLift is seeking to distinguish TL Spark by arguing that it connects different parts of a transaction rather than improving only one process.

That distinction matters because standards for interoperability are still emerging. The IAB Tech Lab has proposed Agentic Advertising Management Protocols to define how buyer, seller and other adtech agents might work together, yet the market remains at an early stage and many products are still limited in scope.

For advertisers, the practical test will be whether a single decision layer can improve media performance across channels without adding complexity. For publishers, the question is whether such systems can raise yield while preserving control over premium inventory and user experience.

TripleLift says TL Spark is designed to support human planners and traders now, while also preparing for a more autonomous model as agentic systems develop. It is pitching the product as a current operational layer rather than a distant concept.

Airey Baringer, vice president of product management at TripleLift, said the product is intended to help advertisers make joined-up decisions across multiple deal components. "TL Spark combines creative, data, and quality supply into one intelligent layer so advertisers can make better decisions and optimize all aspects of their deals in unison," said Baringer. "TL Spark sets the stage for more effective cross-channel performance as agentic transactions evolve, empowering advertisers to deliver better and more effective ad experiences wherever their customers venture."