> ## Documentation Index > Fetch the complete documentation index at: https://docs.alura.io/llms.txt > Use this file to discover all available pages before exploring further. # Sales estimates > How Alura estimates sales and revenue for Etsy products and shops. **Version 2026-10.** This page covers these fields: | Field | Where | What it is | | - | - | - | | `est_lifetime` | Product | Estimated sales since the product was listed | | `est_monthly_avg` | Product, shop | Estimated sales per month, averaged over the product's or shop's whole life | | `est_last_month` | Product, shop | Estimated sales in the last completed calendar month (UTC) | | `est_lifetime_revenue_usd` | Product, shop | Estimated revenue since listing or opening, in USD | | `est_monthly_avg_revenue_usd` | Product, shop | Estimated revenue per month, averaged over the whole life | | `est_last_month_revenue_usd` | Product, shop | Estimated revenue in the last completed month | | `est_sales`, `est_revenue_usd` | Sales history months | Estimated sales and revenue in one month | | `est_sales_min`, `est_sales_max` | Product search | Filter on `est_lifetime` | | `est_monthly_sales_min`, `est_monthly_sales_max` | Product search; shop search takes the minimum | Filter on `est_monthly_avg` | | `est_sales`, `est_monthly_sales`, `est_revenue` | Search `sort` values | Sort by estimated lifetime sales, monthly sales or lifetime revenue. `est_revenue` sorts products by Alura's stored lifetime revenue, which values each sale at the price when it was estimated; `est_lifetime_revenue_usd` values every sale at today's price, so products whose price changed can appear out of order by that value | A shop's `sales.lifetime` is not an estimate: it is Etsy's own count of the shop's sales. ## The idea: reviews follow sales Etsy shows how many sales a shop has made in total, and how many reviews each listing has. Buyers in a given shop review a fairly steady share of their orders, so a shop's reviews divided by its sales gives its review rate, and a listing's reviews divided by that rate give its sales. ## Products * **Lifetime sales** (`est_lifetime`): the product's reviews divided by its shop's review rate. It is never less than twice the product's review count, and never more than the shop's total sales. A product with no reviews gets a small estimate from how often it is viewed, at most 20 sales. * **Monthly average** (`est_monthly_avg`): lifetime sales divided by the number of 30-day months since the product was listed. A product listed less than a month ago uses its lifetime sales. This is an average over the product's whole life, so a product that sold well years ago keeps a high average. For recent sales, use `est_last_month`. * **Monthly history** (`est_sales` in sales history, and `est_last_month`): each month's reviews of the product divided by the shop's review rate. Reviews count in the month they were written, which is usually a few weeks after the order. A month with no reviews is an estimate of 0 sales. ## Shops * **Monthly average** (`est_monthly_avg`): Etsy's count of the shop's sales divided by the number of 30-day months since it opened. * **Monthly history** and `est_last_month`: each month's reviews across all the shop's listings, divided by the shop's review rate. ## Revenue Revenue estimates multiply estimated sales by a price in USD: * For a product, the product's **current** price, converted to USD at the day's exchange rate. Revenue is valued at the current price, not the price at the time of each sale, so a product whose price changed shows past months at today's price. When Alura has no USD price, revenue is `null`. * For a shop, the shop's current average price: the mean USD price of its listings, leaving out unusually cheap and unusually expensive ones. A shop's `est_lifetime_revenue_usd` is different: it adds each period's new sales at the average price of that time, so it is not at today's price. `est_monthly_avg_revenue_usd` divides it by the months since the shop opened. Revenue estimates leave out discounts, shipping, taxes and Etsy's fees. ## How accurate it is We compared the monthly estimates with real orders from 6 connected shops (shops whose owners connected them to Alura), January to September 2026, measured on 2026-10-13: in aggregate the estimates were within 5% of real sales, and they moved in the right direction in 27 of the 34 months compared. Six shops is a small sample. Read it as a check that the method works on average, not as the accuracy you can expect for any one product or shop. Estimates for a single product with few reviews can be far off. ## Known limits * **Recent months fill in late.** Reviews arrive weeks after orders, so the last month or two start low and rise as reviews come in. History responses carry `methodology_version` because past values can change this way. * **Products with few reviews** have rough estimates: one review more or less changes them a lot. * **One review rate per shop.** A listing whose buyers review more or less often than the rest of the shop gets an estimate that is too low or too high. * **Unknown is `null`.** When Alura lacks the reviews, the history or a price, the estimate is `null`, never `0`. ## Version history | Version | Change | | - | - | | 2026-10 | First published version. | This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.