Case Studies

Here are three in-depth AMC case studies showing how brands unlocked substantial value through deep-funnel insights, custom segments, and cross-channel activation:

🌟 1. Global Snack Brand

Objective: Reverse multi-year revenue decline using long-term purchasing patterns.
Deep Dive: Leveraged AMC to access five years of Amazon store-purchase data—extending far beyond the standard ~13-month window. Applied detailed cohort analysis (first-time buyers, lapsed shoppers, seasonal switchers). Tailored Amazon DSP messaging per segment. (advertising.amazon.com)
Execution: One-month DSP campaign used bespoke creatives for each audience group.
Results:

  • +90% ROAS vs. previous DSP benchmarks
  • –26% CPM
  • 42% new-to-brand rate among variety shoppers—showing successful re-engagement of lapsed customers (advertising.amazon.com)

Why it matters: This showcases how leveraging extended purchase history can uncover deeper shopper segments, enabling more precise targeting and messaging.

🏠 2. Home-Security

Objective: Acquire high-value, high-propensity customers.
Deep Dive: Combined AMC Audiences with Shopping Insights to identify users who had visited product detail pages or added items to cart—but neither seen ads nor converted.

“Amazon Shopping Insights in AMC paired up with AMC Audiences… This is a game‑changer…” — Dave Vermeulen, Buy Box Experts (advertising.amazon.com)

Execution: Launched a four-week DSP remarketing campaign targeting these high-intent users.
Results:

Why it matters: Demonstrates how AMC helps pinpoint and monetize intent signals more efficiently—driving incremental growth and effective audience activation.

☕ 3.Coffee Brand

Objective: Re-engage customers who previously bought on DTC (brand site) now shifting to Amazon.
Deep Dive: Used AMC to analyze overlap between direct-to-consumer (DTC) CRM data and Amazon buyer flywheels across Italy, UK, and Germany. Revealed that ~36–57% of direct buyers were also Amazon purchasers.
Execution: Created a “DTC Sleepers” audience—customers inactive on site but active on Amazon. Activated them via Amazon DSP.
Results:

  • +134% ROAS in Germany’s performance campaigns
  • 50% of campaign revenue attributed to AMC-driven audiences
  • ×2 purchasers, +11% basket value in Italy (advertising.amazon.com)

Why it matters: Highlights how cross-channel data correlation (site + Amazon) uniquely unlocks high-intent audiences that might otherwise be overlooked.

📈 Common Success Drivers Across These Cases

  1. Extended Lookback Windows – Longest available purchase history (5 years) enhances lifetime value models & customer segmentation. (advertising.amazon.com)
  2. Custom Audience Intelligence – Tailored segmentation using AMC Audiences or Flexible Shopping Insights.
  3. Cross-Channel Fusion – Merging DTC, CRM, and Amazon retail data to uncover high-value groups.
  4. DSP Activation – Directly using AMC insights to seed campaigns, measure performance, and scale ROI.

🚀 Strategy Tips if You Want to Apply These:

  1. Expand your dataset – Include extended purchase signals and your own first-party data (CRM, browsing).
  2. Build precise audience cohorts – Define by behavior (e.g., lapsed, page viewers, site buyers now on Amazon).
  3. Activate & test – Run DSP campaigns tailored to each custom audience and measure results.
  4. Optimize & iterate – Use AMC post-campaign to analyze funnel lift, adjust messaging, budget, and creative.

Would you like a SQL-based audience template, a dashboard setup walkthrough, or help planning a pilot using these deep-dive strategies? Just say the word!