🛍️ Bestseller Brands and Products

Dashboard link: https://app.emax-digital.com/bestseller-overview-market-insights

Overview

The Bestseller Brands and Products dashboard gives you a competitive view of Amazon's public bestseller lists for the categories you track. It answers the questions every brand manager asks when sizing up a category: Who are the biggest brands? Which products dominate the top ranks? Who is climbing fast, who is falling, and which new entrants just broke into the chart?

Unlike sales-based dashboards, this one is built from Amazon's daily bestseller chart crawls — so it works for any brand or product visible on Amazon, including competitors. That makes it especially useful for category benchmarking, competitive intelligence, and spotting market shifts early.

Prerequisite: the bestseller lists you want to analyse must first be selected in the Data Input section. Only tracked categories appear in the Bestseller Category filter.

What You Can See on This Dashboard

The dashboard is organised in four blocks, each answering a different question: how big is the competitive landscape, who are the leading brands, which products rank highest right now, and what is changing — winners, losers, and new entrants.

Section 1 — Bestseller Overview (Summary KPIs)

A top-line snapshot of the selected bestseller category and the headline competitive metrics.

Key metrics:

• # Products — the number of distinct products that appeared in the bestseller chart for the selected category during the current reporting period, with a comparison to the equivalent prior period. Each ASIN is counted once per period.

• # Brands — the number of distinct brands that appeared in the chart during the current period vs the prior period. A useful read on how concentrated or fragmented the category is.

• Brand with Highest Visibility Share — the brand currently capturing the largest share of chart appearances in the category, with its visibility share value.

• Product with Highest Rank 1 Share — the single product that spent the highest percentage of the selected timeframe sitting in the #1 bestseller position, including ASIN, product title, number of #1 ranks, total observations, and the resulting Rank One Rate.

Section 2 — Bestseller Brands

A brand-level competitive view: who has the most products in the chart, how that share is changing, and what their average pricing and customer sentiment look like.

Visualizations:

• Bestseller Brands — Top 10 (pie chart) — each brand's share of all bestseller chart appearances in the period. The 10 brands with the most appearances are shown individually; everything else is consolidated into a single "Other" segment. Products without brand information are excluded.

• Brand Detail Table — for the top 10 brands by chart share, one row each with:

• Visibility Share & Trend — share of all chart appearances in the period, and the change vs the prior period. A positive trend means the brand is winning a larger portion of chart positions.

• Amount of ASINs — average number of distinct products this brand had in the chart during the period.

• Avg. Price & Price Development — average price of the brand's chart-listed products, and the change vs the prior period.

• Avg. Rating — average star rating across the brand's chart-listed products.

• Avg. Amount of Ratings — average number of reviews across the brand's chart-listed products, a proxy for social-proof strength.

Definitions:

• Visibility Share — number of a brand's chart appearances ÷ total chart appearances across all brands in the period.

Section 3 — Top 20 Highest Ranked ASINs

The 20 products currently ranking highest in the selected bestseller chart, plus a daily trend view of the top 5.

Visualizations:

• Top 5 ASINs History (line chart) — daily bestseller rank of the 5 highest-ranked products across the reporting period. Lower rank values are better (1 = best). Gaps in the line mean the product was not present in the chart on that day. The top 5 is selected based on the most recent crawl day in the window, then traced backwards.

• 20 Highest Ranked ASINs — Detailed Table — one row per product, including:

• Rank & Trend — current rank and change since the start of the reporting period (positive trend = climbed up the chart).

• Picture, ASIN, Parent ASIN, Product Title, Brand.

• Avg. Price — average price observed during the period.

• Rating and Amount of Ratings — at the time of the most recent crawl.

Section 4 — Winners, Losers, and New Entrants

The "what changed" block — three tables that surface the most important movement in the chart during the period.

Biggest Winners — Detailed View

The 20 products with the strongest upward rank movement, sorted by how many positions they have climbed since the start of the reporting period. Columns: Rank & Trend, Picture, ASIN, Parent ASIN, Product Title, Brand, Avg. Price, Rating, Amount of Ratings.

Biggest Losers — Detailed View

The 20 products with the steepest downward movement, sorted by how many positions they have lost since the start of the reporting period. Same columns as the Winners table. Use this to spot competitors losing momentum — or to detect when one of your own products is slipping.

New in Bestseller List — Detailed View

Products that appeared in the chart in the current period but were absent from the equivalent prior period — genuine new entrants. Sorted by current rank, so the highest-climbing newcomers appear first. Columns: Rank, Picture, ASIN, Parent ASIN, Product Title, Brand, Price (at end of period), Avg. Rating, Amount of Ratings.

Available Filters

Filter interaction notes

• Bestseller Category is the most important filter. Only categories that have been added in the Data Input section will appear in the dropdown. If a category you want to analyse is missing, ask your emax digital account manager to add it to the crawl list.

• Marketplace and Bestseller Category are linked. Each tracked category belongs to a specific marketplace, so changing Marketplace narrows the category list.

• Tag(s) only affects rows tied to your own catalogue. Bestseller charts include competitor products that have no tags, so heavy tag filtering will reduce visibility of the broader competitive landscape.

• Prior-period comparisons are automatic. "Trend" and "vs prior period" columns always compare the current Reporting Range against the equivalent window immediately preceding it.

Use Cases

1 — Weekly competitive category review

You want a Monday-morning read on what changed in your category last week.

• Set Reporting Range = last 7 days, choose your Marketplace and Bestseller Category.

• Read the Summary KPIs: did the number of competing products or brands shift?

• Scan the Biggest Winners and Biggest Losers tables to identify the three or four movements worth flagging to the team.

• Check New in Bestseller List — any newcomer in the top 50 is a competitor or trend worth investigating.

2 — Brand benchmarking

You want to understand how your brand stacks up against the leaders in a category.

• Open the Bestseller Brands — Top 10 pie and the brand detail table.

• Compare your brand's Visibility Share, Amount of ASINs, Avg. Price, and Avg. Rating to the top players.

• If your visibility trend is negative while a competitor's is positive, drop into the Biggest Winners table to see which of their specific ASINs are gaining ground.

3 — Pricing intelligence

You're considering a price change and want to see what the chart-leaders are doing.

• Filter to the relevant category and a longer Reporting Range (e.g. 90 days) to smooth out short-term noise.

• In the brand detail table, sort by Price Development — which brands are pushing prices up or down, and is their visibility share moving with the price?

• Cross-check with the Top 20 Highest Ranked ASINs table for product-level pricing.

4 — Spotting emerging products and trends

You want to find products that are gaining traction before they become mainstream.

• Set Reporting Range to 30 days. Open New in Bestseller List and look for newcomers that have already reached a strong rank.

• Look at their Brand column — a new brand appearing in the chart is often an early signal of a market shift.

• Use the Biggest Winners table to find products that were already in the chart but are climbing fast.

5 — Defending your own ranks

You want to confirm your own products are not losing ground.

• Filter by Tag(s) for your own ASINs (or look for your brand in the brand detail table).

• Check whether any of your products appear in Biggest Losers, and if so, investigate price, ratings, or stock issues for those ASINs.

• Use the Top 5 ASINs History chart to see if a competitor has overtaken you in the top ranks over the period.

Limitations & Notes

• Bestseller list selection is a prerequisite. Only categories that have been added in the Data Input section appear in the Bestseller Category filter. Coverage is selective, not automatic for every Amazon category.

• This is chart-position data, not sales data. Bestseller rank reflects Amazon's internal sales velocity ranking — it does not tell you absolute unit sales or revenue. A rank improvement signals a sales improvement relative to other products in the category, not an absolute number.

• Daily crawl cadence. The dashboard is built from daily snapshots of the bestseller chart. Intra-day rank changes are not captured; a product that briefly hit rank 1 between crawls may not appear as such.

• Price restrictions. Some products do not expose price information to crawlers. Those rows will show no Avg. Price or Price Development value — this is a data-availability limitation, not zero pricing.

• Brand attribution depends on the product catalogue. Products without brand information are excluded from brand-level views (pie chart, brand detail table). This can underestimate the long tail of small or unbranded sellers.

• "Other" segment in the pie chart. The pie shows the top 10 brands individually; everything else is aggregated into "Other." If the Other slice is very large, the category is highly fragmented — a finding in itself.

• Top 5 history selection method. The 5 lines in the Top 5 ASINs History chart are the products ranked highest on the most recent crawl day, then traced backwards. Products that were #1 earlier in the period but have since dropped out may not appear in this chart.

• Prior-period comparison logic. "Trend" columns compare the current Reporting Range to the equivalent window immediately before it (e.g. last 7 days vs the 7 days before that), not the same period a year ago.

• Rank trend interpretation. A positive trend value = climbed up the chart (rank number got smaller). A negative trend value = fell down the chart (rank number got bigger). This is the opposite of most "trend" intuitions, so read carefully.

Data Refresh

Data updates twice per day (approximately every 12 hours), reflecting Amazon's bestseller chart crawls.