Search Marketing FAQ

ACoS measures only ad-attributed sales. TACoS (Total Advertising Cost of Sale) measures ad spend against TOTAL sales (organic + paid). TACoS captures advertising's halo effect on organic rankings - when Sponsored Products lift a product to page-1 organic, organic sales grow but ACoS misses it. Use TACoS for strategic decisions; ACoS for keyword-level optimization.

in Amazon Ads Reporting & Optimization

Depends on margin. For 30% gross margin: 20-25% ACoS is profitable. For 50% margin: 30-40% ACoS works. Category averages: Beauty 25%, Home 28%, Electronics 18% (lower margins force lower ACoS), Apparel 30%, Health 28%. Above 50% ACoS without launch-strategic reason is usually unprofitable spend.

in Amazon Ads Reporting & Optimization

Sponsored Products average conversion rate is 9-13% (significantly higher than Google Ads' 3-5% because Amazon shoppers have purchase intent). Top performers hit 15-20%. Below 7% signals either weak product-keyword match (targeting issue) or weak product listing (images, title, reviews, price). New ASINs run 4-7% during ramp; established ASINs settle at 10-15%.

in Amazon Ads Reporting & Optimization

ROAS = Revenue / Spend. ACoS = Spend / Revenue. They are reciprocals. ACoS 25% = ROAS 400% (4x return). ACoS 50% = ROAS 200% (2x). Amazon defaults to ACoS in reporting; e-commerce vernacular outside Amazon defaults to ROAS. Use whichever your team prefers; convert between them with: ROAS = 1 / ACoS.

in Amazon Ads Reporting & Optimization

Download weekly from Reports > Search Term Report. Sort by spend. Identify high-spending no-converting queries - add them as negative keywords. Identify high-converting queries from auto campaigns or broad match - promote them to manual exact-match keywords with optimized bids. This weekly review loop is the highest-leverage Amazon Ads optimization activity.

in Amazon Ads Reporting & Optimization

Filter for queries with conversion rate above 10% and ACoS below your target. Sort by ad-attributed sales descending. The top 50-100 queries by sales are your profitable keyword pool. Migrate these from auto/broad to manual exact-match with higher bids. Expect to find 20-50 winners per active campaign monthly during active optimization.

in Amazon Ads Reporting & Optimization

Keyword harvesting is the workflow of mining the Search Term Report for high-converting queries (often discovered in auto or broad-match campaigns) and promoting them to manual exact-match keywords with optimized bids. The auto-to-manual harvesting pattern is the standard Amazon Ads operating loop. Most successful accounts harvest weekly.

in Amazon Ads Reporting & Optimization

Add high-converting queries as exact match for tight bid control. Add medium-performing queries as phrase match to capture variants. Add zero-converting queries as negative match (exact or phrase). High-spending zero-converting queries get negative phrase match (broader block); low-volume zero-converters get negative exact (precise block). Review weekly.

in Amazon Ads Reporting & Optimization

Filter the Search Term Report for queries with 50+ clicks and zero orders. Audit each: does the query match your product? If not, add as negative keyword. Universal negatives (free, jobs, cheap competitors) apply across most accounts. Account-specific negatives emerge from your particular product-query mismatch patterns. Audit weekly.

in Amazon Ads Reporting & Optimization

Amazon's dayparting requires third-party tools (Sellics, Helium 10 Adtomic, Perpetua) - Amazon Ads itself does not offer hour-of-day reporting natively. Some sellers extract via API and analyze when conversion rate peaks (often evenings 6pm-10pm for consumer products, mornings for B2B). Schedule budget caps via tools to pause low-converting hours.

in Amazon Ads Reporting & Optimization

Bid optimization is adjusting per-keyword CPC bids to hit ACoS targets while maximizing volume. Reports show per-keyword ACoS, spend, conversion rate. Raise bids on keywords with ACoS below target and rank below top-of-search. Lower bids on keywords above target ACoS. Use 10-20% increments. Audit weekly; let changes settle 2-4 weeks before further adjustment.

in Amazon Ads Reporting & Optimization

Three reports for budget management. Budget Report flags campaigns running out of budget mid-day. Search Term Report identifies wasted spend on non-converting queries (negate them). Targeting Report identifies high-spend low-conversion keywords (lower bids). Reallocate budget weekly: cut underperformers, fund winners. Most accounts find 15-30% of weekly budget is wasted on first audit.

in Amazon Ads Reporting & Optimization

The Purchased Product Report shows which products customers actually bought after clicking your ad - including products other than the advertised ASIN. Critical for understanding cross-sell behavior: an ad for Product A might drive sales of Product B in your catalog. Use it to identify halo products and adjust which ASINs to advertise.

in Amazon Ads Reporting & Optimization

Amazon Attribution tracks off-Amazon traffic (your Instagram, email, Google Ads) driving Amazon conversions. Combine with Amazon Ads in-platform reporting to see full-funnel attribution. AMC consolidates all sources for cross-channel ROAS. Most accounts use Amazon Ads reporting for in-Amazon optimization and Amazon Attribution for external-traffic ROI measurement, with AMC as the high-end analytics layer.

in Amazon Ads Reporting & Optimization

AI Overviews are short summary boxes Google shows above organic results for some queries. AI Mode is a separate experience where the user opts into a chat-style search with multi-turn reasoning. Overviews appear in regular SERPs (broad reach); AI Mode is a deeper experience for fewer users. Both pull from the same retrieval layer.

in AI Overviews & AI Mode

Query fan-out is Google's technique of issuing multiple sub-queries off your original query, retrieving different facets in parallel, then synthesizing the AI Overview from the combined results. A single query like 'best running shoes for flat feet' might fan out into queries about plantar fasciitis, motion control, top brands, and recent reviews.

in AI Overviews & AI Mode

Informational queries with clear answer intent. 'How to,' 'what is,' 'why does,' 'best X for Y,' comparison queries, multi-part questions. Less common on transactional ('buy X'), navigational ('Facebook login'), and clearly-local ('plumber near me'). Coverage is around 16% of US desktop searches and climbing. Watch your category for AI Overview prevalence.

in AI Overviews & AI Mode

More complex, multi-part, or reasoning-heavy queries. AI Mode is currently opt-in (user has to enter it). Examples: 'compare X and Y for my specific use case,' 'plan a trip for a family of four with these constraints,' 'help me debug this error.' Queries with clear single answers stay in standard search.

in AI Overviews & AI Mode

Informational queries have clear answer intent and benefit from synthesized summaries. Google's AI can pull from multiple sources to answer 'how does X work' more comprehensively than a single ranking page. Transactional and navigational queries usually have a definitive answer (a product page, a brand homepage), so synthesis adds little value.

in AI Overviews & AI Mode

Yes. Long-tail queries (4+ words, specific intent) trigger AI Overviews at higher rates than short head terms because they often require synthesizing multiple sources. 'How to remove red wine stains from carpet at home' triggers AIO; 'red wine stains' might not. Specificity benefits the AI summary format.

in AI Overviews & AI Mode

Yes. Multi-part queries with multiple sub-questions ('what is X and how does it compare to Y') trigger AI Overviews because the summary can address each part. The AI's ability to synthesize across multiple retrieval sources is more valuable for compound queries than for single-fact lookups.

in AI Overviews & AI Mode

Frequently. 'X vs Y' queries trigger AI Overviews around 40-60% of the time depending on category. The AI compiles pros and cons, key differences, and recommendations from multiple sources. Comparison content optimized for AIO citation should include clear comparison tables and explicit attribute-by-attribute breakdowns.

in AI Overviews & AI Mode

Rarely. 'Buy [product]' and 'order [thing]' queries rarely trigger AIO because Google shows shopping results and direct merchant links instead. Some transactional queries with research intent (best price for X, where to buy Y) trigger AIO with synthesized buying-guide content. Watch SERP behavior per category.

in AI Overviews & AI Mode

Almost never. Navigational queries (brand name searches, login pages) have a single intended destination - the AI Overview cannot improve on that. Searching 'Facebook' or 'capconvert.com login' returns the destination directly. AIO would be redundant. Brand entity queries occasionally trigger Knowledge Panels but not AI Overviews.

in AI Overviews & AI Mode