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Sales & Operations

Use these reports for BSR tracking, estimated sales share analysis, promotional event analysis, and (with a 1P connection) traffic and conversion data.

Category Sales Share

Best for: Category-first view of estimated sales share — brands as rows within a category. Faster to load than Category Snapshot for sales-focused questions.

Primary anchor: Category (Department + Category Tree required) + Retailer. Add Brand to scope to a specific brand's share within the category. Without Brand, shows all brands ranked by estimated sales share.

Key tiles:

  • Share of Sales (est) trend chart — weekly/monthly estimated sales share per brand over time
  • Share of Sales (est) Data — flat table: brands ranked by weighted BSR score and estimated sales share

Date filter name: Data Period Date. Default 13 weeks. No comparison period. Date Granularity toggle: Week vs. Month.

Important: All sales figures are modeled estimates from BSR + ML extrapolation — not retailer POS data. Always caveat when presenting to clients.

Edge case filters: Brand, Item ID, Price, Rank Limit (5/10/25), Date Granularity, Title.


Share of Sales by Category

Best for: Brand-first view — a single brand's estimated sales share across all the categories it participates in. Best for understanding where a brand plays in the category landscape.

Primary anchor: Brand + Retailer. Leave Category filter open to see the full multi-category picture — that is the primary value of this report.

Key tiles:

  • Share of Sales by Category Trend (chart + table) — each category the brand participates in with weighted BSR score and estimated sales share
  • Min / Avg Best Seller Rank by Item — item-level BSR snapshot

Date filter name: Data Period Date. Default 13 weeks. No comparison period. Date Granularity: Day / Week / Month.

Common mistake: Applying a narrow category filter — this collapses the multi-category view. The power of this report is seeing all categories simultaneously.

Edge case filters: Department / Category Tree, Category Rank Limit, Date Granularity.


Best Seller Rank Tracker

Best for: Tracking a brand's or item's BSR over time within a category. Shows best, median, and worst BSR across the brand's items.

Primary anchor: Brand OR Item ID + Retailer. Add Category to scope to a specific category. Cannot run on Category alone without Brand or Item ID.

Key tiles:

  • Best Seller Rank by Category — table of each category with avg/min/median/max BSR and item count. Select a category row to populate the trend chart.
  • Top Best Seller Rank Trend by Category — daily/weekly BSR trend line for the selected category

Date filter name: Date Range. Default 13 weeks. Date Granularity defaults to Day — important, BSR is tracked daily and daily granularity shows the most meaningful movements. No comparison period.

Common mistake: Confusing BSR rank with sales share — BSR is a relative ranking (position 1 = top seller) that fluctuates daily. It is a signal of relative performance, not an absolute volume or share metric.

Edge case filters: Item ID, Department / Category Tree, Display Top (5/10/15 items in trend), Date Granularity.


Best Seller Rankings - report coming soon

Best for: Item-level BSR snapshot showing current standings. Use for a quick competitive BSR scan; use Best Seller Rank Tracker when you need rank trajectory over time.

Primary anchor: Brand OR Item ID + Retailer. Add Category to scope.

Key tile:

  • Best Seller Rankings — flat table: each item with category path, avg/min/median/max BSR over the selected window

Date filter name: Data Period Date. Default last 7 days — this is a point-in-time snapshot report. Use a short window (7–14 days) for current rankings. No comparison period.

Common mistake: Confusing with Best Seller Rank Tracker — Rankings is a snapshot; Tracker trends BSR over time.


Promo Analyzer

Best for: Analyzing search and sales behavior during major promotional events (Prime Day, Black Friday, Cyber Monday). Compares performance during the event vs. a pre-event baseline.

Primary anchor: Brand + Category + Retailer — all four fields required before the report loads. Most filter-dependent report in the platform.

Key tiles:

  • Four percentile benchmark tiles (Sponsorship Activity, Search Visibility, Share of Sales, Promoted Items) — brand's rank vs. category peers during the event
  • Category Sponsorship Activity by Brand / Ad Type — who leaned in most on paid
  • Category Share of Sales by Brand (Promo vs. Comparison Period) — side-by-side; who captured the promo lift
  • Category Badge Types — breakdown of badge types observed (Black Friday, Cyber Monday, Limited Time Deal, etc.)

Date structure — three filters work together:

  • Promo Period — the event window (default: Black Friday/Cyber Monday 2025, Nov 20–Dec 2)
  • Promo Comparison Period — the pre-event baseline (default: Oct 27–Nov 16)
  • Trend Charts Date Range — full window for trend tiles (default: Oct 27–Dec 7)

Use presets for standard events — they are calibrated correctly. If using a custom event, override all three together.

Note: Trend tiles return nulls via API — render in UI. Use get_report_url for trend views.

Common mistake: Manually setting custom date ranges instead of using presets — the presets are calibrated to the actual event windows with correct before/after comparison periods.


Traffic & Conversion Opportunities

Report ID: sales-and-traffic-opportunities 🔒 Requires 1P Amazon connection.

Identifies items with high traffic but low conversion, high conversion but low traffic, and high spend but low conversion. Requires Amazon Vendor/Seller Central API connection — returns no data without it.

Primary anchor: Data auto-scoped to the connected 1P account. No brand filter required.

Date filter name: Current Period. Default 4 weeks. Date Granularity: Day. No comparison period.


Inventory Opportunities

🔒 Requires 1P Amazon connection — low priority.

Shows items with no, low, or excess inventory based on 1P Amazon data. Most brands have better inventory tools in their own systems — use this for quick Amazon-specific health checks only.

Primary anchor: Auto-scoped to connected 1P account.

Date filter name: Current Period. Default 4 weeks. No comparison period.

Edge case filters: High Inventory Risk Threshold (default 90 days), Low Inventory Risk Threshold (default 28 days), Vendor Central Source.