Amazon PPC can be a revenue driver or a margin killer. In this guide, we show advanced strategies to lower your ACoS while increasing revenue at the same time.

Understanding PPC Basics

The Most Important Metrics

ACoS vs. TACoS: ACoS shows the efficiency of your advertising. TACoS shows how much of your overall business depends on advertising. A falling TACoS with a stable ACoS means: more organic sales!

The Optimal Campaign Structure

A clean structure is the basis for optimisation:

Recommended Structure

📁 Product Group A
  ├── 🎯 Auto Campaign (Research)
  ├── 🔍 Manual Broad (Test keywords)
  ├── 🎯 Manual Phrase (Medium precision)
  ├── ⭐ Manual Exact (Performers)
  └── 🛡️ ASIN Targeting (Competitor)
            

The Research-to-Performance Model

  1. Auto campaigns: Find new keywords
  2. Broad/Phrase: Test promising keywords
  3. Exact: Scale proven performers

Keyword Research

Sources for Keywords

Keyword Qualification

Not every keyword is equally valuable. Qualify by:

Pro tip: Long-tail keywords (3+ words) often have less competition and higher conversion rates. "Bluetooth headphones" vs. "Bluetooth headphones sport waterproof".

Bidding Strategies

Strategy 1: Tiered Bidding

Different bids for different placements:

Strategy 2: Dayparting

Adjust bids by time of day:

Strategy 3: Performance-Based Bidding

Formula: New bid = (Goal ACoS × average CPC) / current ACoS

Example: Goal ACoS 25%, current ACoS 40%, CPC 0,80€
New bid = (0,25 × 0,80) / 0,40 = 0,50€

Ongoing Optimisation

Weekly Tasks

Negative Keywords

Just as important as positive keywords! Add as negatives:

Warning: Give keywords at least 10-15 clicks before classifying them as negative. Decisions made too early can eliminate good keywords.

Advanced Tactics

ASIN Targeting

Show your ads on competitors' product pages:

Sponsored Brands

For brand-registered sellers - use them to:

Conclusion

Profitable PPC requires continuous optimisation:

  1. Structure: Build a clean campaign architecture
  2. Keywords: Research and qualify continuously
  3. Bidding: Data-based bidding strategy
  4. Optimisation: Weekly reviews and adjustments
  5. Experiments: Test new tactics

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