Podkon

USE CASES

Use Cases

Who Podkon is for

Podkon is for people who would rather make than research. The same report answers very different questions depending on the window you read it over, the last day, week, fifteen days or month, and on which numbers you lean on: reviews gained as confirmed sales, the change in favorites and views as early interest, and the new entry and top shop badges as context. Here is how different sellers actually use it.

New sellers deciding what to make first

You have a shop but no direction. Open the report for a category you can produce, read it over the weekly window, and sort by reviews gained. That gives you a short list of products with confirmed, recent sales, not guesses. Check the new entry badge to spot designs that only started selling in the last month, since those are openings, not crowded markets. A new t shirt seller opens the weekly report, sees a fresh design climbing on reviews with rising favorites, makes three versions, and skips months of guessing.

Established shops protecting a lead

You already sell, but taste moves. The weekly window tells you when a format you ignored starts gaining reviews, so you add it before the wave instead of after it. Use the top shop badge to see which competitors have more than one rising product, because a shop with repeat winners is worth studying closely.

Apparel sellers chasing fast styles

Apparel turns over quickly, so the daily and weekly windows matter most. Watch the change in favorites as the leading edge, since shoppers favorite before they buy, then confirm with reviews gained once sales land. Open a product to see its history chart and judge whether it is still rising or already cooling.

Home and living sellers

Bigger products, slower buying cycles. The fifteen day and monthly windows smooth out the noise so you see the real direction rather than one good day. The shop card matters here too: rating, years selling and pace tell you whether a competitor is a steady operator or a flash.

Digital and printable sellers

Cheap to produce, so speed wins. Filter to your category, read the daily window, and publish a printable the same day a theme starts gaining. The favorites per view proxy helps you spot listings that punch above their traffic.

Power sellers and agencies

Track several categories at once and export to CSV to bring the data into your own planning. The widest plan covers every category we report on, and the windows let you build both a fast watchlist and a slow, strategic view from the same data.

In every case the split is the same. We do the watching, the sweeping within Etsy’s limits, the ranking and the cleanup. You make the thing.