As consumer goods companies face rising expectations for personalisation and tighter scrutiny on marketing spend, Dabur is making a structural bet on in-house marketing technology. Announced in June 2026, the company is setting up two Global Capability Centres: an IT GCC to power its digital backbone, and a Digital Marketing GCC positioned as a hub for marketing excellence.
The Digital Marketing GCC is not a back-office support team. It is being built as an internal MarTech capability powered by AI, data and automation, with a clear remit to improve how Dabur targets, creates and measures marketing across markets.
Inside the Digital Marketing GCC
Manas Mehra, global CIO at Dabur, describes the roadmap around building in-house capabilities rather than assembling fragmented external tools. The hub will focus on:
- AI-driven audience segmentation
- Content intelligence for smarter creative decisions
- Unified dashboards and real-time performance tracking
- Scalable content hubs and standardised playbooks for multi-market execution
The standardised playbooks are significant. They are designed to make execution consistent across geographies, improve marketing ROI and reduce the reinvention that often slows down large FMCG teams.
The Accenture engine
In parallel, Dabur is collaborating with Accenture on a multi-year programme to accelerate AI adoption and build a future-ready digital enterprise. The engagement builds on Dabur’s cloud and digital core modernisation and pulls internal and external, structured and unstructured data into a unified data foundation.
The emphasis is on outcome-based use cases, value realisation, spend optimisation and EBITDA margin expansion. Beyond technology, Dabur and Accenture are rethinking talent, operating models and governance frameworks so that AI projects move from pilot to production instead of getting stuck in experimentation.
Why this matters for marketers
Dabur’s move signals where large advertisers are heading: more control over first-party data, more standardisation in campaign operations, and a direct line between martech investment and business outcomes. For marketing professionals, it is a useful reminder that technology adoption is not the goal; ROI and operational consistency are.
The most transferable idea is the pilot-to-production framework. Instead of letting AI experiments pile up, Dabur’s model ties use cases to value and scale. Marketing students and professionals should note the operating model shift: when an FMCG major builds its own GCC, the skills in demand move toward data operations, AI-enabled content workflows, marketing analytics and governance. Teams that adopt this discipline early will be better placed to justify budgets and expand successful programmes.
What to watch
Expect more consumer brands to formalise in-house Martech hubs as AI lowers the cost of content, targeting and measurement. The winners will likely be those that combine clean data, clear governance and standardised playbooks from day one.
Source: ETBrandEquity.com
