Lessons from Bumble’s Chicken Shop Ads + How RAGs Are Shaping AI in Advertising

AdSkate News

First-Party Data + AI: The Future of Ad Creative

Generative AI is transforming advertising, but off-the-shelf models lack brand-specific insights. They’re trained on broad datasets, which means they often miss the mark on brand identity, audience nuances, and past campaign performance. This is where retrieval-augmented generation (RAG) comes in, injecting first-party data into AI models to produce more relevant, high-performing content.

Why It Matters:

Most AI-generated creative today is generic and disconnected from real campaign insights. AdSkate’s Storyboard feature changes that by using first-party performance data to generate ad creatives based on what has actually worked. This means advertisers can:

? Generate AI-powered creatives aligned with proven engagement trends

? Ensure messaging and visuals resonate with specific audience segments

? Refine and edit AI outputs to fit their industry verticals

The Bigger Picture:

The role of AI in advertising is evolving. Rather than replacing creative teams, AI is becoming a tool to enhance decision-making and streamline workflows. As models like GPT and DALL-E become more sophisticated, advertisers are realizing that generic AI-generated content isn’t ideal, it needs to be informed by real audience data and campaign performance.

RAG pipelines and first-party data integration are setting the stage for more personalized, data-driven creative strategies. This shift means AI won’t just generate ads; it will help optimize creative elements based on past success, audience behavior, and industry-specific insights. As AI adoption grows, brands that leverage their proprietary data effectively will gain a competitive edge, making their advertising more relevant, efficient, and impactful.

Read the AdExchanger article on RAGs and first-party data here.

Case Study: Bumble and Amelia Dimoldenburg

Bumble Inc. launched a Meta campaign advertising their collaboration with Amelia Dimoldenburg from the popular YouTube series Chicken Shop Dates.

We analyzed over 30 creatives from this campaign with AdSkate’s AI creative analysis platform. Here’s what we found:

Bumble’s AI-detected creative attributes:

• Image Tone: Vibrant, serene
• Primary Ad Copy: “Dating advice from Amelia Dimoldenburg? We’re listening…”, “Amelia is dating goals. Learn how she shoes up as her most authentic self”, “When it comes to dating, trust your instincts—and Amelia Dimoldenburg”
• Call To Action: ‘Download Now’

Ad creatives with the primary ad copy “Dating advice from Amelia Dimoldenburg? We’re listening…” had a CTR 23% higher than average.

The primary ad copy “When it comes to dating, trust your instincts—and Amelia Dimoldenburg” decreased CPC by 9%.

On average, ad creatives with a vibrant image tone improved ROAS by 8%.

Key takeaways:

• Conversational Copy Drives Engagement: Ads featuring the copy “Dating advice from Amelia Dimoldenburg? We’re listening…” achieved a 23% higher CTR, highlighting the impact of interactive and curiosity-driven messaging.
• Trust-Oriented Messaging Reduces Costs: The ad copy “When it comes to dating, trust your instincts—and Amelia Dimoldenburg” decreased CPC by 9%, showing that trust-based language can improve cost efficiency.
• Vibrant Imagery Boosts Performance: Creatives with a vibrant image tone led to an 8% improvement in ROAS, reinforcing the value of bold and engaging visuals in ad effectiveness.

Interested in a demo of AdSkate’s AI creative analytics platform?

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