Amazon Ads India Introduces “Brand Shopper Insights” for D2C Brands
What Happened? Amazon Ads Launches New Insight Tool for D2C Brands
Amazon Ads India has announced the launch of Brand Shopper Insights, a new analytics solution designed to give D2C brands deeper visibility into shopper behaviour across the Amazon ecosystem. The tool provides data on repeat purchase rates, loyalty trends, cross-category affinities, churn indicators, and new-to-brand customers.
This comes at a time when D2C brands are aggressively scaling on marketplaces due to rising acquisition costs on social and search platforms. While news outlets reported the tool’s release, most lacked India-specific insights on how D2C behaviours differ, how Amazon’s proprietary data is evolving, and how this impacts marketplace strategy.
This analysis provides a deeper breakdown tailored for Indian marketers and brand owners.
Key Insights: What Brand Shopper Insights Means for D2C Brands
1. First-Party Shopper Intelligence Becomes a Competitive Advantage
Brand Shopper Insights gives visibility into:
- new vs. returning customers
- purchase frequency and loyalty tiers
- cross-category shopper movement
- brand switching & churn risk
For India’s competitive D2C landscape — beauty, wellness, electronics accessories, home categories — this intelligence reshapes how brands approach retention and remarketing.
2. Helps Brands Build Better Retention & CRM Pipelines
With rising CAC across Meta, Google, and programmatic networks, repeat purchases matter more than ever. Amazon’s new tool supports:
- reactivation campaigns
- product bundling
- subscription pushes
- “customers also bought” strategies
- personalised ad sequencing
This reflects a shift toward lifecycle marketing, not just ad-driven top-of-funnel sales.
3. Built to Complement Amazon Marketing Cloud (AMC)
For brands using AMC, the tool adds context around:
- media influence on purchases
- multi-touch attribution
- path-to-purchase modelling
- insights across devices and behaviours
Together, AMC + Brand Shopper Insights strengthen data-driven decision-making.
4. Benefits Brands in Tier-1 & Tier-2 Growth Markets
Cities like Chennai, Coimbatore, Jaipur, Indore, Kochi, Lucknow, and Vizag are key consumption hubs for D2C categories.
The tool helps brands understand:
- regional purchase patterns
- linguistic preferences
- wallet-share distribution
- emerging category opportunities
This allows brands to tailor inventory and campaigns regionally.
5. Cross-Category Insights Fuel Portfolio Expansion
A beauty brand may learn its customers also buy wellness items; an electronics brand may find high overlap with smart home accessories.
This helps D2C brands:
- identify white spaces
- plan NPD (new product development)
- expand catalogues intelligently
- improve marketplace operational planning
Why This Matters for Indian Marketers, Ecommerce Teams & Entrepreneurs
Amazon’s new tool changes how D2C brands plan marketplace growth:
- Marketing Teams: gain clarity on incrementality, audiences, and loyalty-driving creatives.
- Founders: can allocate budgets toward high-value shopper cohorts.
- Ecommerce Teams: can optimize product pages, pricing, and inventory based on behaviour signals.
- Performance Marketers: can build more accurate retargeting and upsell sequences.
Final Takeaway — Data-Led D2C Growth Becomes Essential in 2025
With digital ad costs increasing and competition tightening, Brand Shopper Insights gives D2C brands the intelligence needed to improve profitability, product strategy, and customer lifetime value. The future of D2C growth lies in precise audience intelligence.
Digilogy helps brands combine Amazon data, marketplace optimization, and AI-driven audience modelling to scale efficiently in India’s fast-growing ecommerce environment.
Discover how Digilogy can transform your D2C growth with smarter Amazon ads and data-backed marketplace strategies.
