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[VIDEO + GUIDE] Report Overview. All metrics explained (Advertising Analytics)

A quick orientation to the 7 pages inside Advertising Analytics. What each one is built for and how they fit together.

Full Video Walk-Through

Advertising Analytics is made up of 7 pages, each focused on a different dimension of your PPC performance. The navigation lives at the top of every page, so you can move between them without losing your date range or filters.

Watch the video above or read an article below to learn what each page is built for.

Sales

The Sales page answers one core question: when your total sales grow, is it coming from PPC or organic? It shows you the relationship between total sales, PPC sales, and organic sales over time, so you can spot whether your ad spend is building organic momentum or crowding it out.

You can view data by account or by individual product, and toggle between daily and weekly views. Weekly view is especially useful for seeing trends without day-to-day noise.

My Real Profit gives you two methods for calculating organic sales:
- Advertised Product (matches what you see in Campaign Manager)
- Purchase Product (tracks what the customer actually bought, regardless of which ASIN was advertised). The difference between these two numbers, and why it matters is explained on the Attribution page.

Attribution

The Attribution page has two sections.

The upper section is Halo Sales: it shows you, for each advertised ASIN, what percentage of customers purchased that same product versus a different product in your catalog.

You can filter by ad type (Sponsored Products, Sponsored Brands, Sponsored Display, Video). This data drives two decisions: whether you're advertising the right product, and which of your own ASINs to target in defensive campaigns.

The lower section is the Attribution Window: it shows how long after clicking your ad customers make a purchase: same day, 1-7 days, 7-14 days, or 14+ days. This tells you whether a retargeting campaign makes sense for your product and how long that window should be.

Use at least 30 days of data for this chart to be accurate. Short date ranges skew heavily toward same-day purchases because customers who clicked recently haven't had time to show up in later buckets yet.

Advertising

The Advertising page is the high-level account health view. It shows consolidated KPIs — sales, spend, Net ACoS, Advertising Profit, CPC, CTR, conversion rate compared to the prior period, along with four diagnostic charts (clicks and CTR, average price and conversion, spend and orders, spend and CPC).

Net ACoS accounts for promotions, which Campaign Manager excludes from its ACoS calculation. Advertising Profit factors in FBA fees, cost of goods sold, and refund rate using the COGS you've entered under Products.

You can click on any ad type (Sponsored Products, Sponsored Brands, Sponsored Video, Sponsored Display) or any product in the table to filter the entire page, charts and KPIs to that selection. Use Cmd (Mac) or Ctrl (Windows) to apply two filters at once.

Campaigns

The Campaigns page shows performance broken down by campaign and ad type, with all standard metrics alongside charts. It's the straightforward place to compare campaign-level numbers without the deeper filtering available on the Keywords and Search Terms page.

Placement Insights

Placement Insights is powered by Amazon Marketing Stream, which gives My Real Profit hourly data that isn't available in standard Amazon reporting. The page shows performance by placement (top of search, rest of search, product pages, off Amazon) broken down by hour of day — displayed in PST.

You can also view placement performance by individual keyword. This is the only place in the platform where you can see, for a specific keyword, how much of your spend is going to each placement and what the CPC, CPA, and conversion rate looks like per placement.

A common use of this page: spotting budget exhaustion. If clicks drop sharply in the afternoon but organic sales stay steady, your campaigns are likely running out of daily budget — not losing customers. The campaign filter lets you isolate which specific campaigns show this pattern.

Keywords and Search Terms

This is the most data-dense page in Advertising Analytics. It breaks performance down by match type, keyword, and search term, with a hierarchy you can expand one level at a time: match type → ad type → campaign → search term.

Key tools on this page:

  • Keyword Analyzer: Performance by target. Each keyword row is expandable: click (+) once to see ad type and match type breakdown, again for campaign name, and a third time for individual search terms. ACoS Row is color-coded purple based on ACoS relative to your account average. Deeper purple means above-average ACoS, which lets you spot problem areas by scanning rather than sorting.

  • Search Term Analyzer: Filter by Unit Sold = 0 to find search terms spending your budget with no orders. Filter by ACoS (entered as a decimal — 0.7 = 70%) to find high-cost converting terms. Export any filtered view via More Options for bulk upload to Seller Central.

  • Keywords and Search Term Gaps: Shows which match types each keyword is targeted in, and which it isn't. Useful for finding converting search terms from auto or broad campaigns that you haven't yet added as exact match.

  • Search Term Spend by Date: Shows weekly (or daily) spend on a specific search term over time. Useful for seeing how your targeting mix shifts week to week.

  • N-gram Analysis: Aggregates performance by individual word across your entire search term report — the fastest way to find negative keyword patterns that aren't visible when looking at individual terms.

Intraday

The Intraday page shows performance by hour of day and by day of week: spend, CPC, ACoS, and orders for each hour. It's useful for day-parting decisions and for understanding whether your budget is being distributed the way you'd expect across different times of day.

If you sell a B2B-oriented product, the day-of-week breakdown often reveals a meaningful drop in performance on weekends — which can inform whether your daily budget needs to be the same seven days a week, or whether shifting budget from low-performing days to high-performing weekdays makes more sense.

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