United KingdomProfessional services2026 – ongoingWPP
Shared data foundation for WPP Open marketing AI
Google Cloud reported that WPP cut creative and strategy work from 4 weeks to 3 hours
Problem
Marketing data was fragmented across WPP agencies. That made it difficult to supply consistent data to AI models and deploy tools securely.
Approach
WPP and Google Cloud built a shared data foundation supporting WPP Open. Teams standardized data into audience cohorts and fed audience and performance models. Shared deployment templates enforced access controls across production workloads.
Results
Takeaway
The reported gains covered a broad data and AI program. Google Cloud did not specify the campaign sample or measurement method behind them.
Categories
- Size
- Large enterprise
- Industry
- Professional services
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
Google Cloud described production infrastructure supporting WPP's marketing AI. It reported creative and strategy time falling from 4 weeks to 3 hours and content volume increasing 33x.
Full details are in the original sources.
