To address the high costs and inefficiencies of traditional creative production, cacaFly designed a three-pronged solution built on Google Cloud. For example, BigQuery was deployed to consolidate massive amounts of client marketing data, an essential step which ensured a reliable, centralized data foundation, preparing the organization for large-scale AI deployment.

The ability to use these pre-trained models with custom instructions was critical, enabling the creation of high-fidelity, high-volume content. This approach specifically addressed the bottleneck of resource-intensive manual production. As Wu highlights, their focus was not solely on the technology but on the resultant business model: "The resources can be reinvested in marketing,” he explains. “This is a complete value transfer process. When brands no longer need to reinvest a significant budget in resource-heavy material production, that budget goes into media."

By standardizing the creative process and reducing the reliance on costly, bespoke production, cacaFly successfully transitioned its business model to deliver greater value directly through optimized media spend and higher ROI.

With this new setup, cacaFly achieved a reduction in data processing costs. By adopting the "AI In-Warehouse" model using BigQuery, it consolidated client data and ran AI applications directly within the warehouse. This eliminated costly cycles associated with external processing and simplified system maintenance, which led to both financial and time savings.

The proprietary generative AI solution delivered a statistically significant boost to marketing campaign ROI. The introduction of AI-generated virtual avatars saw increased engagement rates, outperforming celebrity endorsers by 11%. Compared to the high production costs associated with traditional celebrity endorsements, the ROI was significantly improved, achieving click-through rates (CTR). This allowed brands to move budget from resource-heavy material production directly into media campaigns, maximizing ad spend effectiveness.

cacaFly also gained a strategic advantage through its One Google approach. As both a Google Cloud partner and independent software vendor (ISV), cacaFly gained early access to Google solution previews, enabling it to incorporate resources into product planning and achieve quicker time-to-market. The integration across Google Cloud, Google Ads, and Google Workspace also fostered a cultural change, empowering non-engineering staff to leverage AI for coding and prototyping. This democratization of AI accelerated development cycles and PoC releases, effectively breaking down traditional silos and allowing cross-functional teams to co-develop products seamlessly.

"Data governance and management are the first steps in AI development. We shouldn’t just focus on generative AI. Embedding industry knowledge and data into AI-accessible sources such as BigQuery is key to building competitive AI products,” says Wu.

Moving forward, cacaFly will continue to deepen its AI applications. By embedding knowledge into BigQuery, it is building a one-stop creative production and optimization platform, providing clients with a more valuable media experience through standardized Google Cloud services.