This section is about demand: why some cards sell while others only collect clicks, where impressions leak away, how much product comes back, and how many units to order for the next month. All seven templates run on the same demo data of one seller, in the order real life asks the questions: first “what is happening”, then “what to do”. This section has 7 templates.
Every template is a live walkthrough on demo data: open it in the Templates section of Analytics Agent and press “Use this template” to run it on your own data.
Seller Funnel — Where the Demand Leaks
Shows: the buyer’s path for each product in five steps — impressions, clicks, cart, orders, buyouts — set against the usual numbers of its category; a loss ranking names which step of which product takes the most orders away.
You get: your effort goes into the step that actually loses orders, not the one that caught your eye first; on small numbers the template honestly says “not enough data yet”.
Card Conversion — Clicks but No Orders
Shows: a queue of cards waiting for a rework — those whose order share is below the norm for their category — with the likely causes spelled out: a price above the usual, a rating below 4, too few reviews, sizes that do not sell.
You get: you know what to fix first, and where rethinking the price is enough, instead of redoing the photos and the description.
Returns & Cancels Audit — What Comes Back and What It Costs
Shows: return and cancel shares for each product against its category’s norms (fitted clothing is not judged by electronics standards), the main return cause for each product, and the price of the problem in money — return delivery plus write-offs.
You get: you see which returns are cured by honest photos and a size chart, and which by a new supplier — and how much money per month that brings back.
Restock Plan — Next Month’s Order
Shows: how many units of each product to order for the month ahead — demand comes as a range, not a single number, and the order at a high service level comes out of that range; next to it the freeze price: how much money would sit frozen in product if demand turns out weak.
You get: the order stops being a blind bet — you see both the volume and the risk — and for products with a short history the template honestly refuses to forecast and sizes the stock with a simple rule.
Category Seasonality Profile — When the Niche Pays Back
Shows: a week-by-week profile of the year — in which weeks the category sells noticeably better, which peaks repeat year after year, and which happened only once and cannot be promised; separately, it prints the date by which the order for a peak must already be in the warehouse.
You get: season buying stops running late — you know how many weeks before the peak the order must be placed.
Search Queries Won & Lost — the Title/Photo Rework Queue
Shows: a table of the search queries you are found by, plus a separate list of the lost ones — where impressions exist but clicks are almost zero; every loss is counted in the clicks and orders you did not get, along with each product’s dependence on one or two queries.
You get: titles and photos get fixed from a concrete list instead of guesswork, and a lost position in search results does not slip by unnoticed.
Niche Entry Analysis — Is It Worth Entering, at What Price, and How Big a Bet
Shows: a map of the niche market from a snapshot of competitors — how many sellers there are and how fast their number grows, how much the big players hold, the corridor the prices stay in, and whether any profit remains at those prices after the platform’s deductions.
You get: the decision on a new product is made before the money is spent — and it survives the check “what if the service’s estimates are inflated by a third”.