Programmatic’s Shift: Signals, Context & AI
Programmatic advertising is shifting from scale to signal-driven strategies, focusing on first-party data, contextual relevance, and supply path optimization amid privacy changes. AI enhances signal quality, with new opportunities in audio, DOOH, and conversational formats.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
Eleven-plus years building revenue at the intersection of programmatic, data, and content. I’ve led monetization and partnerships across Gaana, ShareChat/Moj, CarDekho, Condé Nast India, and Bobble AI — spanning publisher-side yield, brand partnerships, and first-party data commercialization. Currently focused on programmatic curation and supply-path strategy across APAC, alongside advisory work through SGCube Consultants in AdTech and content monetization.
The through-line across all of it: finding the gap between where money is being spent and where value is actually being created.
Q2. How is programmatic evolving from a scale-driven model to a signal- and intent-driven revenue engine, especially in privacy-first environments?
Scale was always a proxy. The industry used reach as a currency because it was measurable, not because it was meaningful.
Privacy deprecation — GDPR, ATT, and now DPDP in India — isn’t breaking programmatic. It’s exposing how much of it was built on borrowed identity. Third-party cookies didn’t deliver intent. They delivered addressability. Those are very different things.
The real shift is toward ownable signals — first-party behavioral data, contextual depth, and curated supply paths where the…
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