SaliencyLab

Overview

SaliencyLab is an AI-native creative pretesting and diagnostics platform developed to evaluate digital advertisements prior to media deployment. Backed by Station F, the platform combines algorithmic scoring, simulated buyer interviews, and human expert review to provide actionable recommendations on whether to back, iterate, or rebuild ad creative.

Key Features

• RoastIQ scoring engine — Evaluates static and video ad assets in minutes across five diagnostic metrics: Beat the Skip, Get Noticed, Brand Impact, Sell Proposition, and Build Brand.
• BuyerLens simulated interviews — Deploys synthetic consumer personas across defined market segments to uncover messaging objections, cultural fit gaps, and purchase hesitations.
• Actionable edit roadmaps — Translates diagnostic scores into structured Keep, Change, and Test recommendations for post-production editing.
• Attention and audio analysis — Measures predicted visual focal points, opening hook retention, and audio motifs to detect elements that distract from the core value proposition.
• Decision triage categorization — Assigns creative assets to defined next steps including Scale, Sharpen, or Rebuild based on modeled performance gates.
• Multi-platform compatibility — Supports ad creative designed for deployment across major paid social and video channels including TikTok, YouTube, Instagram, and Facebook.
• Human review layer — Pairs automated synthetic testing with internal strategic review to ensure recommendations reflect practical campaign goals.

Who It's For

SaliencyLab is designed for performance marketers, creative strategists, and media planners working at direct-to-consumer brands and advertising agencies. It caters to teams that produce high volumes of digital video or display ads and require pre-spend validation before allocating paid media budgets.

Notable Strengths

SaliencyLab distinguishes itself by pairing rapid synthetic modeling with dedicated human expert reviews, preventing teams from relying strictly on uncontextualized scoring outputs. Its evaluation models are calibrated against a pool of more than 1,200 historical ads with documented correlation to public TikTok click-through rates and YouTube view counts. The service also features transparent, fixed-scope pricing models, including creative testing sprints starting at €500 and ongoing monthly partnerships at €1,000.