> ## Documentation Index > Fetch the complete documentation index at: https://docs.depict.ai/llms.txt > Use this file to discover all available pages before exploring further. # Collection analytics > Per-collection performance: KPIs, conversion funnel, inventory risk, pinned-vs-auto health and benchmarking. Every collection carries its own analytics, surfaced in three places: KPI tiles above the collections table, performance columns in the table itself, and a detailed analytics drawer per collection. ## Limits and behavior * Metrics cover the last 30 days compared with the previous 30 days by default; the presets are 30, 7 and 1 days, plus a custom range. * The add-to-cart funnel stage appears only when add-to-cart events are tracked. * Add-to-carts have no KPI tile on the collections page — that tile is on the [Analytics](/headless/features/analytics) page. * The collections table's performance columns are Views, Clicks, CTR, Revenue, Units and STR; there is no inventory column and no pinned-vs-auto column. * Dead stock counts products with inventory but zero units sold in the selected period. * Average stock coverage is the number of days current inventory lasts at the current sales rate; it appears in the analytics drawer, not in the collections table. ## KPI row Aggregated tiles across all collections: Total Revenue, Total Views, Avg CTR, Total Units Sold and Avg STR, plus a dead stock tile. Every metric label has a hover tooltip explaining exactly how it's computed. Clicking a tile opens a **trend modal** with the metric charted over time (30d/7d/1d or a custom range); the dead stock tile opens a searchable list of at-risk products with CSV export. ## The analytics drawer Open the drawer from a collection row's analytics button. Collection analytics drawer showing RPM, sales velocity, inventory donut chart and per-product pinned versus auto CTR comparison with recommendations ### Traffic & Engagement A horizontal conversion funnel — impressions, clicks, add to cart (when tracked) and purchases — with stage-to-stage conversion rates on the connectors and previous-period trends under each stage. CTR is shown alongside with its trend. ### Performance Revenue, RPM (revenue per thousand impressions), views, CTR, units sold and STR, each with previous-period deltas and clickable trend charts. ### Product health & inventory * **Variant availability** — in-stock variants as a share of all variants in the collection. * **Inventory breakdown** — healthy / low / out-of-stock buckets, dead stock count and average stock coverage in days. ### Top products The best performers in the collection, with per-product CTR and STR. ## Pinned vs Auto For collections with pinned products, Depict compares the CTR of your pinned products against the auto-ranked ones and turns the result into a recommendation: | Verdict | Meaning | | - | - | | **Pins healthy** | Pinned products hold their own — auto-ranked CTR is at most 5% ahead of the pins. | | **Check pins** | Auto-ranked products get a noticeably higher CTR than the pins (5–30% ahead) — review individual pins. | | **Unpin advised** | Auto-ranked products clearly outperform the pins (30%+ higher CTR) — unpinning should lift clicks. | | **No pins** | Nothing is pinned (or there is no data to compare), so there is no pinned-vs-auto comparison. | The analytics drawer and the **Pinned vs Auto** modal break it down per product, with relative CTR differences, per-product recommendations, one-click pin/unpin actions and CSV export. An info tooltip explains how to read the numbers. ## Inventory and dead stock **Dead stock** counts products with stock but effectively no sales in the period — capital sitting still. **Average stock coverage** estimates how many days current inventory lasts at the current sales rate. Dead stock is aggregated in the KPI row's dead stock tile, whose modal lists the specific products so you can act on them; both metrics appear per collection in the analytics drawer. ## Benchmarking The **Benchmark** button opens a modal where you compare any set of collections side by side — against each other and against the "All collections" baseline — across revenue, traffic, engagement and inventory metrics. Benchmark modal comparing two collections against the average of all collections across revenue, views, clicks, CTR and more This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.