SCRATCH provides an AI‑driven platform that creates personalized, brand‑safe audio for advertising campaigns, allowing brands and agencies to replace and optimize music at scale. By leveraging its proprietary AI engine, the service tailors soundtracks to match brand identity, boosting consumer preference, recall, and conversion rates—reporting up to 6× higher purchase conversion in tests.
Funding
Funding not disclosed
Founders
Product
Problem
Advertising campaigns often rely on generic, off‑the‑shelf music, which fails to align with a brand’s identity and can lead to low consumer engagement, weak brand recall, and inefficient ad spend.
Solution
Scratch offers an AI‑driven platform that replaces and optimizes soundtrack content at scale using a proprietary engine powered by artist‑licensed music. The system analyzes brand guidelines and target audience signals to generate customized audio tracks that match the brand’s voice and emotional tone. An integrated audio editor lets marketers fine‑tune the results and preview them across digital channels before deployment. By delivering brand‑safe, personalized sound, Scratch helps advertisers increase consumer preference, boost recall, and achieve higher conversion rates while improving overall ad spend efficiency.
Target Audience
Primary users are marketing directors, creative directors, and digital advertisers in the automotive, retail, and consumer packaged goods sectors who need to personalize audio at scale for their campaigns.
Features
- Proprietary AI engine that generates and optimizes music tracks based on brand identity and campaign objectives
- Library of artist‑licensed, brand‑safe music ensuring copyright compliance
- Web‑based audio editor for real‑time customization, preview, and version control
- Scalable workflow that supports bulk processing for automotive, retail, and CPG campaigns
- Integration hooks for digital ad platforms, enabling seamless deployment across social, streaming, and programmatic channels
- Analytics dashboard that reports on consumer preference, recall metrics, and conversion uplift