Bannerflow launches AI tools across advertising workflow

Bannerflow has launched Creative Intelligence for its advertising workflow platform.

The product adds connected AI tools across the campaign process.

Creative Intelligence brings together tools for creating ad assets, assessing likely performance, analysing campaign results and scaling campaigns across formats and markets. It is built into Bannerflow's existing platform rather than offered as a standalone generative AI feature.

The launch reflects a broader push by ad technology companies to add AI tools at more stages of campaign production and optimisation. Bannerflow argued that many marketing teams already collect large amounts of campaign data but struggle to turn that information into changes in creative work.

Research cited by Bannerflow found that nearly 80% of 300 marketers surveyed across Europe, the US and Canada regularly review performance metrics when shaping creative strategy. It said 93% track multiple creative performance measures, while analysis, reporting, optimisation and iteration remain disconnected in many workflows.

Four stages

Bannerflow has organised the product around four parts of the advertising process: create, evaluate, understand, and act and scale.

In the creation stage, teams can generate, edit, expand and upscale images inside Bannerflow's Creative Studio. Users can also set up product feeds by describing what they need in plain language.

For evaluation, the platform uses predictive scoring, attention heatmaps, focus analysis and clarity scoring to estimate how likely a video or static advert is to attract attention before media budget is committed. It can also recommend changes to reduce distracting elements before launch.

The understanding layer is designed to show how creative elements such as calls to action, colour choices and animation timing relate to campaign performance. Bannerflow said those insights remain inside the platform so teams can use them in later briefs and creative decisions.

The final stage centres on feed-driven dynamic advertising. Live product information can be turned into campaign variations across products, formats and markets, while pricing, stock and availability stay aligned with the source feed.

Data focus

The new suite sits on top of Bannerflow's data platform, which supports analytics, creative performance modelling, predictive scoring, testing and optimisation. That data layer is intended to connect production and performance measurement more closely within one system.

Bannerflow, founded in Stockholm, said it has more than 2,000 brand customers and annual recurring revenue above €25 million. The business employs more than 135 people across five international offices.

Its customer list includes Boozt, SAS, Ooni, SEGA and Meliá Hotels International. It operates across display, social, video, CTV, DOOH and other digital advertising channels.

The launch raises the question of whether advertisers can move from using AI as an asset-generation tool to making it part of a full creative workflow. In the ad market, many tools have focused on text or image generation, while marketers have continued to rely on separate systems for performance analysis, reporting and asset management.

Bannerflow's position is that linking those steps more tightly could reduce manual work and shorten the time between identifying a performance signal and applying that learning to the next campaign. It said the approach is intended to keep creative control with human teams rather than hand decision-making fully to automated systems.

A company study pointed to rising interest in measurement among buyers, citing IAB findings that 56% of US ad buyers expected to devote more time or resources to marketing mix modelling. That trend has added pressure on marketing teams to connect performance data more directly to campaign development.

Speaking about the launch, Bannerflow chief product officer Moses Velasco outlined the company's view of the gap in current advertising workflows.

"Marketing teams have more performance data than ever, but too little of it inspires the next piece of creative. Insights sit in dashboards, production happens elsewhere and, by the time teams connect the two, the opportunity has often passed," Velasco said.

"Creative Intelligence closes that gap by embedding AI throughout the workflow, removing repetitive work, turning campaign signals into practical creative decisions, and carrying those learnings directly into what teams create next.

"The result is advertising that is not only more efficient to produce and optimise, but more relevant and valuable to the people it reaches, helping brands create stronger connections and better experiences with their audiences, while keeping creative judgement and brand control firmly with people."