Reporting & insights
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Revenue, orders, best sellers and anything weird, compared to last week, in five bullet points.
Give me a recap of my store's sales for the last 7 days compared to the 7 days before. Include revenue, order count, average order value, the top 5 products by units sold, and anything unusual I should look at. Keep it to five bullet points a busy store owner can read in a minute.
Reporting & insights
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Reads every shopper chat from the last 7 days and tells you what people keep asking, and where the assistant came up short.
Read all the conversations shoppers had with our StoreAgent chat assistant in the last 7 days. Group the questions into themes, like sizing, shipping, stock or product comparisons, and tell me how many chats fall in each. List the questions the assistant could not answer well or answered vaguely, with a short quote from each chat. For any product mentioned more than twice, look it up and tell me its price and stock status. End with the 3 changes that would help shoppers most.
Reporting & insights
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Counts every wholesale pricing rule by level and spot-checks real prices for a customer in each role, so you know what is actually live.
Give me an overview of my wholesale pricing. List each wholesale role with how many members it has and if it is tax exempt. Show how many pricing rules I have at product, category, role, per-user and quantity level, and tell me if any count was cut short. Then pick one customer from each role and check the price they pay on [5] of my best-known products against the regular price. Point out anything that looks wrong, like a role with no discount at all.
Reporting & insights
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Lists every order form with its status, pages and role access, gives the shortcodes, and totals what order forms sold this month.
List all my wholesale order forms with their status, where they are placed, and which roles can use them. For each published form, give me the shortcode. Point out any published form with no placement or one open to the public. Then show me total orders, revenue, refunds and average order value from order forms for the last 30 days and the 30 days before, and compare them.
Reporting & insights
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Shows which coupons actually brought in orders last month, how much they cost you in discounts, and which ones nobody used.
Give me a coupon performance report for last month. Show the total coupons used, total amount discounted, number of discounted orders and the revenue from those orders. Compare each number with the month before. Then list the top coupons by usage with the discount each one gave away. For the top 3, open the coupon and tell me its type, amount, usage limit and expiry. Finish with active coupons that had no uses at all, and give me one sentence on what you would change.
Reporting & insights
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Shows who is holding store credit, how much in total, and which balances have sat untouched for months.
List every customer who has a store credit balance. Give me the total store credit outstanding and the top 20 balances with name and email. For the top 10, check their store credit history and tell me when they last earned or used credit, and where most of their credit came from. Point out balances that have not been used in over 6 months, so I can remind those customers.
Reporting & insights
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Spots feeds that failed, went stale or quietly dropped products, so your shopping ads keep showing your full range.
Check all my product feeds. For each published feed, show the channel, country, status, when it last generated, how many products are eligible, how many made it into the file, and the file size. Flag any feed with an error status, a missing file, a big gap between eligible products and products in the file, or a last update older than 2 days. For feeds with a gap, tell me how many products I excluded by hand. Then give me a summary per channel with feed count and feeds in error. If any feeds look stale, list them and ask before you regenerate them. Wait for my OK, then regenerate them in the background.
Reporting & insights
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Pulls wishlist conversion, trends, peak times and top categories into one report you can act on.
Give me a wishlist report. Include the overall wishlist-to-purchase conversion rate and its trend against the previous period, the total products wishlisted and purchased from wishlists, and the average time to purchase. For the last 30 days, show saves and purchases over time and the peak day and hour for wishlist activity. Add the top categories and brands by saves, and the trending products. Finish with 3 actions I should take, such as when to send emails or which category to promote.
