KEYXE For Humanity · Free learning
Learn the Ideas Behind the Numbers.
Original guides that explain commerce analytics, advertising metrics and AI tooling in clear language, with worked examples using fictional numbers. No account and no Amazon login needed.
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8 guides
- What Is ACoS? Advertising Cost of Sales ExplainedLearn how ACoS is calculated from ad spend and attributed sales, how to find a break-even ACoS from your margin, and which cautions keep the number honest.
- What Is ROAS? Return on Ad Spend and How to Read ItROAS divides attributed ad sales by ad spend. Walk through a 4.0× example, compare the multiple with your margin, and avoid the common ways it misleads.
- ACoS vs ROAS: Converting Between Them and When to Use EachACoS and ROAS are inverses only when they share spend, sales, window and period. Use the conversion table and see when each ratio reads more clearly.
- CPC, CTR and Conversion Rate: Reading the Ad FunnelHow cost per click, click-through rate and conversion rate fit together, with a fictional funnel from impressions to orders and why ad events are not people.
- Seller Sales vs Ad-Attributed Sales: Why They Don't Add UpOrdered product sales and ad-attributed sales measure different things. Learn why they overlap, why they cannot be summed, and how to define a total ratio.
- Inventory Data Freshness: Snapshots, Delays and Days of CoverInventory figures are point-in-time snapshots from delayed reports. Learn the stock categories, how to read as-of times, and how days of cover is estimated.
- What Is MCP? A Plain-English Guide to Model Context ProtocolModel Context Protocol lets AI apps discover and call tools over JSON-RPC 2.0. Learn clients, servers and schemas, and why a protocol is not permission.
- How to Evaluate an AI Recommendation Before You Act on ItA practical way to check AI suggestions for ad budgets and bids: evidence, freshness, sample size, reversibility, approval, and a checklist to use every time.
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These guides are educational. They are not financial, legal or advertising advice, and their examples use fictional numbers — never data from any seller or advertiser account.