Amazon PPC performance is often reduced to a single metric: ACOS. While useful, ACOS alone doesn’t explain why a search term performs the way it does-or what to fix when it doesn’t.
Search term data provides a more complete picture. Instead of focusing only on ad spend efficiency, sellers can analyze the full funnel: visibility, engagement, and conversion-benchmarked against the market.
This is where performance analysis becomes actionable.
What Is Search Term Performance on Amazon?
A search term is the actual query a customer types into Amazon. Each search term generates a measurable funnel:
- Impressions → how often your product appears
- Clicks → how often shoppers engage
- Add to cart → buying intent
- Orders → completed purchases
Advanced data adds another layer:
- Your metrics vs total (market) metrics
- Share metrics (impression share, click share, order share)
This allows you to evaluate not just performance-but relative performance.
Why ACOS Is Not Enough
ACOS is calculated as:
ACOS = Ad Spend / Ad Revenue
It tells you how efficient your ad spend is-but ignores:
- How much demand exists for the search term
- Whether your listing converts well
- Whether competitors outperform you
- Whether low performance is a traffic or conversion issue
Two search terms can have identical ACOS but completely different underlying problems.
The Full-Funnel Framework for Search Term Analysis
To understand performance, break each search term into three stages:
1. Visibility (Impressions)
Key metrics:
- My impressions
- Total impressions
- Impression share
Interpretation:
- Low impression share → limited visibility (bidding, ranking, or budget issue)
- High total impressions → strong demand
2. Engagement (Clicks)
Key metrics:
- Clicks
- Click share
Interpretation:
- High impressions + low click share → listing not attractive (main image, price, title)
- Strong click share → competitive positioning in search results
3. Conversion (Orders)
Key metrics:
- Orders
- Conversion rate
- My conversion rate vs total conversion rate
Interpretation:
- Lower conversion than market → offer problem (price, reviews, content)
- Higher conversion than market → competitive advantage
Using Benchmark Data to Identify Issues
The most valuable insight comes from comparing your performance to the market.
Scenario 1: High Impressions, Low Click Share
- Your product is visible
- Customers choose competitors
Likely issue:
Listing quality (image, price, positioning)
Scenario 2: High Clicks, Low Conversion Rate
- Traffic is strong
- Sales don’t follow
Likely issue:
- Pricing
- Reviews
- Product-market fit
Scenario 3: High Conversion Rate, Low Impressions
- Customers convert when they see your product
- Not enough exposure
Likely issue:
- Low bids
- Budget limits
- Ranking
Scenario 4: Strong Performance Across Funnel
- Good visibility
- Strong engagement
- High conversion
Implication:
This is a candidate for scaling
Adding Profit Context
Search term performance should ultimately be evaluated in terms of profit.
Basic structure:
Net Profit per Order = Price – Amazon Fees – COGS – PPC Cost
Break-even ACOS:
Break-even ACOS = Contribution Margin / Price
Where:
Contribution Margin = Price – Fees – COGS
A search term with “good” ACOS can still reduce profit if:
- margins are low
- return rates are high
- CPC increases over time
Practical Checklist for Search Term Analysis
For each search term, evaluate:
- Do I have enough impression share?
- Is my click share aligned with visibility?
- Is my conversion rate competitive vs market?
- Am I generating orders proportional to demand?
- Does this search term meet my profit thresholds?
Common Mistakes
Relying only on ACOS
ACOS doesn’t reveal where the problem is.
Ignoring market benchmarks
Absolute performance means little without comparison.
Scaling traffic before fixing conversion
More clicks don’t solve a weak offer.
Treating all search terms equally
Each term has different demand, competition, and economics.
FAQ
What is the difference between a keyword and a search term?
A keyword is what you target in campaigns. A search term is what customers actually type.
What is a good conversion rate for a search term?
It depends on the category, but the key metric is your conversion rate vs the market average, not an absolute number.
Why do I have impressions but no sales?
This usually indicates a problem with click-through rate or conversion rate-often related to listing quality or pricing.
Should I optimize for click share or conversion rate?
Both matter. Click share reflects competitiveness in search results; conversion reflects offer strength.
Conclusion
Search term performance is not just about ad efficiency-it’s about how well your product competes at every stage of the funnel.
Analyzing impressions, clicks, and conversion-especially in comparison to market benchmarks-provides a clearer path to improving performance.
Tools like sellerboard make this analysis more practical by consolidating search term data, funnel metrics, and performance benchmarks in one place, allowing sellers to move from guesswork to structured decision-making.
