Priya is 38 and lives in New Delhi. On a Thursday evening she decides to replace a coat she has worn for four winters, and the search starts on her phone rather than in a mall. She types the category, and the first screen returns a retailer listing, a marketplace page, and an AI-written summary naming three labels she had not considered. She saves two of them and puts the phone down. Three weeks later she buys from one of the three. None of those brands chose what she saw first.
In India, 27% of respondents name online search as the route by which they first became aware of the last luxury brand new to them, against 11% across the nine markets.
Search is the largest first-awareness route in the India sample, ahead of organic social content at 14%, reversing the nine-market order, where organic social leads at 19%. For brands whose awareness planning assumes a boutique window or an event, the first impression is formed on a surface they populate without controlling.
India records the highest search figure of the nine markets
India’s 27% is the highest of the nine markets in the wave, ahead of the UK at 19%. We would read this as a control question before a media question: where first awareness forms on a results page, the brand’s opening line is assembled from whatever ranks that day. Media planning, e-commerce product, store teams, and service design each carry part of the consequence, and the evidence supports a full build for the first of them only. The scale is a market-level reallocation of attention.
AI enters after awareness: 4% at discovery, 43% inside the purchase path
AI recommendation was the first awareness route for 4% of Indian respondents, level with the nine-market figure. Inside the purchase the number changes: 43% of Indian respondents say AI-powered product recommendations featured in their most recent purchase in their primary category, against 36% across the nine markets. Search opens the relationship and AI tools work inside it, and the two are usually owned by different teams.
Media, digital product, store, and service teams face four different calls
Media planning. The 27% makes the results page the first brand-controlled surface in India, which turns query coverage from a performance line item into brand work. Name an owner for category and competitor queries in the India plan, and hold that screen to a standard. If the function acts, the brand writes the first thing a new customer reads instead of inheriting it. The survey names the route without naming the query, so the query set comes from search data the brand already holds.
Digital product teams have the narrower question. Recommendation surfaces are load-bearing in India, at 43% against 36%, which makes product data quality a revenue input. Instrument those surfaces, and audit the catalog feed that third-party AI systems read. The survey records which tools featured in the purchase, without attributing the decision to them, so the case rests on assortment accuracy.
Where the customer arrives having already compared, the opening exchange matters more than the greeting. 43% of Indian respondents researched online before visiting a store, against 32% across the nine markets, so the associate joins a process already in progress. Brief store teams on what the top results say about the assortment, and give them a question that finds where the customer got to. The conversation then starts at comparison, and an associate can correct a third-party claim in person. The data shows the mix of routes without sizing what each contributed to spend.
Service design. 22% of Indian respondents rated their last interaction with a primary-category brand as low effort, against 36% across the nine markets, and that gap sits under a customer who arrives informed. Cut steps out of the handoff between research and human contact, starting with re-identification. Effort was rated for the primary category only, so this is not a portfolio-wide score.
Search behavior separates India; comfort with AI does not
77% of Indian respondents agree they are comfortable with AI personalizing their luxury experience, against 79% across the nine markets, so the AI figures describe usage rather than unusual openness. Human relationships hold too: 75% have an ongoing relationship with a sales associate or advisor, against 80%. One more figure points the same way: 45% of Indian respondents bought a luxury item primarily as a financial investment in the past 12 months, against 36%. Deliberation runs longer in the India sample, and search is where it starts. A single wave measures a level, so nothing here establishes movement. The discovery question asks about the last new-to-them brand actually bought, so the figure describes converted buyers, and it is a plurality: most Indian respondents came to their last new brand another way.
Build for the buyer who arrives already comparing
The strongest signal supports proactive capability on the first screen: media planning owning category queries in India under a named owner, and product data made legible to the systems that summarize it. Digital product and service design have a moderate signal: instrument recommendation surfaces, remove handoff steps, and measure before any service redesign. Store teams need referral capability first: an associate who can pick up a comparison in progress and route it is the difference between 22% describing a low-effort interaction and the nine-market 36%. Priya’s shortlist was down to three before any brand knew she was looking. Whether that screen is an asset anyone owns is a decision for the next India plan.
Source note: AFFLUENTIAL TrendLens™ Wave 1 2026, nine markets. Base sizes: India n=500, China n=1,000, Japan n=816, US n=815, UK n=669, France n=500, Australia n=500, Indonesia n=500, Thailand n=500, nine-market total n=5,800.