As of February, my generative AI ad copy initiative successfully increased ad copy output for Incubeta’s Tier 1 clients by 25%, successfully cutting manual ad copy creation and mitigating silos in the ad copy uploading process for their paid search campaigns.
I currently lead the creative strategy and implementation for Incubeta's generative AI ad Copy initiative.
This involves automating paid search copy for Tier One clients (e.g., Super Retail Group, Les Mills, RAG), utilising top-of-the line AI tools. The project requires comprehensive understanding of a client’s brand voice, audience insights, and campaign goals, demonstrates my interest in leveraging generative to enhance ideation and execution without compromising creative integrity, and brand guidelines.
Genesis of the n8n Ad Copy Generator
The n8n Ad Copy Generative Project originated from a desire to scale high-quality, strategically aligned ad copy while mitigating the bottlenecks found in manual production and siloed creative processes.
As the strategic creative lead, my goal was to translate complex client briefs and data insights into actionable, effective creative strategies. I recognised a recurring challenge- maintaining creative ambition and quality while handling the sheer volume and platform-specific requirements of various sales/promotional ads. The solution needed to dramatically minimise manual intervention and ensure absolute consistency, aligning every piece of copy with the clients strategic goals and their unique brand voices. This focus on efficiency without compromising effectiveness drove the initial concept of automating the generative creative process.
Building the Project
The project was built with a scalable workflow in mind. I chose the n8n automation platform, leveraging generative AI capabilities to elevate output. The execution involved a critical preparatory phase: the meticulous development of detailed, structured brand guidelines for every client. These guidelines are the project's intellectual backbone, codifying essential information such as target audience profiles, precise campaign goals, overarching business objectives, distinct branding tone-of-voice parameters, and historical data on top-performing headlines and descriptions. This detailed preparatory work ensures that the subsequent AI generation is deeply informed by strategic context and proven creative performance.
With the foundational data and structure in place, the workflow proceeded through a combination of custom coding and platform integration. The n8n automation was configured to ingest the client-specific guidelines and, crucially, integrate with the Gemini GEMs AI model that the additional copywriters, and myself had built prior. This integration allows the system to generate a high volume of descriptions and headlines for various ad platforms at scale and follow strict character guidelines.
The AI output is not just rapid; it is strategically tailored, designed to be best-performing, contextually relevant, and precisely aligned with the client’s specific needs as defined in the initial guidelines. The final step involves a continuous feedback loop where content is reviewed and edited for ultimate clarity and impact, ensuring the generated copy elevates Incubeta's creative standard and drives measurable engagement.