Bannerflow Wants Your Dashboard To Change The Next Ad

Bannerflow has introduced Creative Intelligence, a set of AI capabilities aimed at the join between performance data and the next piece of creative.
- Product: Creative Intelligence, inside the Bannerflow advertising workflow
- Stages connected: asset creation, creative evaluation, performance analysis, campaign scaling
- Capabilities: AI-assisted image generation and editing, predictive creative scoring, performance insights, feed-driven dynamic advertising
- Supported by: Bannerflow's own data platform
The Gap Creative Intelligence Is Named After
Bannerflow states its study of 300 marketers across Europe, the United States and Canada found nearly 80 per cent regularly review performance metrics when shaping creative strategy and 93 per cent track multiple creative performance measures, while identifying data analysis, performance reporting, optimisation and iteration among the most disconnected parts of their workflows. The IAB has separately found that 56 per cent of US ad buyers expect to devote more time or resources to marketing mix modelling.
Moses Velasco, Chief Product Officer at Bannerflow, named the problem as sequencing rather than volume: insights sit in dashboards, production happens elsewhere, and by the time the two are connected the opportunity has often passed.
Scoring Before The Budget Goes Out
The predictive feature uses attention heatmaps, focus analysis and clarity scoring to estimate how video and static work may capture attention before spend is committed, with recommendations on distracting elements. Creative Insights then analyses how calls to action, colour choices and animation timing relate to performance, and keeps those findings for future briefs.
Pre-flight attention scoring is a crowded claim and a contested one, since attention proxies are not the same as outcomes. What makes this version more defensible is that the score is not the end of the loop: the measured result feeds back into the brief.
The Part That Will Actually Get Used
Feed-driven dynamic advertising uses live product information to build variations across products, formats and markets, keeping pricing, stock and availability synchronised with the source feed, and the AI-assisted feed setup lets a user describe the feed they need in plain language.
That is the unglamorous half, and it is where most of the saved hours are. Velasco's own framing keeps creative judgement and brand control with people, which is the sensible position to hold in a category that has been overselling automation for a decade.
More ad tech coverage on Ad Tribe.