--- title: Sales & Operations description: Overview of Sales & Operations reports --- [Skip to content](https://knowledge.analyticindex.com/sales-operations#main-content) English Show submenu for translations ![Analytic Index Logo-1.png\]](https://knowledge.analyticindex.com/hs-fs/hubfs/Analytic%20Index%20Logo-1.png?height=40&name=Analytic%20Index%20Logo-1.png) - [Default HubSpot Blog](https://blog.analyticindex.com/blog) Open main navigation Close main navigation - [Default HubSpot Blog](https://blog.analyticindex.com/blog) - English Show submenu for translations - Analytic Index Analytic Index Hello. How can we help you? - There are no suggestions because the search field is empty. 1. [Knowledge Base](https://knowledge.analyticindex.com/?hsLang=en) 2. [Dashboards & Reports](https://knowledge.analyticindex.com/dashboards-reports?hsLang=en) 3. [Analytic Index Dashboards](https://knowledge.analyticindex.com/dashboards-reports?hsLang=en#analytic-index-dashboards) # 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. 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