← Cases
United KingdomConsumer goods2025 – ongoing

Reckitt Benckiser

Generative AI for marketing research and advertising adaptation

Reckitt reported at least a 60% marketing efficiency gain with an Azure OpenAI assistant

WorkingVendor case studyVendor ↗

Problem

Reckitt's marketers needed to turn unstructured consumer research into campaign ideas. Adapting advertising for different markets also required substantial manual work.

Approach

Reckitt worked with Microsoft to build a Marketing Insights Generator using Azure OpenAI. It analyzed consumer information to support marketing ideas. Teams also used generative AI to adapt and localize advertising assets, with marketers reviewing the work.

Results

at least 60%marketing efficiency improvement reported by Reckitt in Microsoft's customer accountVendor case study[1]
approximately 30%reduction in time spent adapting and localizing advertising assets, per MicrosoftVendor case study[1]

Takeaway

The reported efficiency gain covered marketing work; it did not establish an increase in campaign sales.

Categories

Business function
Marketing and sales
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Microsoft26 Jun 2025

Microsoft described Reckitt's marketing assistant and its use of generative AI in advertising production. It reported faster marketing work and shorter asset adaptation times, based on Reckitt's experience.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗