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Plugin on Listing & Shop Pages

Alek

Plugin on Listing & Shop Pages

Plugin on Listing & Shop Pages

Search badges are the headline, but the plugin gets deeper when you open an individual listing or shop. On these pages, the overlay swaps badge chips for a full metrics panel — sales, revenue, trend, outlier score, views, favorites, and review data — so you can evaluate a product or a seller without leaving Etsy.

What you can see on a listing page

When you open an Etsy listing, the plugin shows a metrics panel with listing-level performance data:

Metric

What it shows

Monthly Sales

Estimated sales for your selected timeframe

Monthly Revenue

Estimated revenue for your selected timeframe

Total Sales

Lifetime sales count

Total Revenue

Lifetime revenue

Trend

Sales trend percentage (2mo, 6mo, or 12mo depending on your plugin setting)

Outlier Score

How much this listing outperforms its shop average

Views

Total listing views

Favorites

How many times the listing has been favorited

Review Rate

Percentage of buyers who left reviews

What you can see on a shop page

On an Etsy shop page, the plugin switches to shop-level aggregates so you can gauge a shop's overall performance:

  • Total sales and lifetime revenue

  • Average revenue per listing

  • Review rate and review volume

  • Number of active listings and digital listings

This is enough to tell whether a shop is a high-volume storefront, a boutique, or a new seller — before you start auditing individual listings.

Add to Watchlist directly

From the overlay on either a listing page or a shop page, you can add the listing or shop to your ListingView Watchlist without switching tabs. The new entry appears in your Watchlist the next time you open ListingView.

Jump into ListingView for a deeper dive

The overlay is a quick-look layer. When a listing or shop is worth a deeper analysis, click through to open it in ListingView's Listing Explorer (for listings) or the corresponding shop view — you'll get the full SEO score breakdown, tag performance, historical charts, and everything else ListingView offers.

Trend timeframe

The Trend metric reflects the timeframe you've selected in the plugin popup — 2 months, 6 months, or 12 months. If you've enabled Show trend percentage with time period in settings, the timeframe label appears alongside the number so you always know which period you're looking at.

Tips & best practices

  • Use Outlier Score to understand why a listing is doing well. A 3x+ outlier in a high-volume shop is an unusually strong performer — study what makes it different.

  • Cross-reference Trend and Monthly Sales before acting. A small number of sales with a huge trend percentage can just be noise.

  • On a shop page, Review Rate is one of the fastest credibility signals — established shops typically sit in a predictable range, and extreme deviations (very high or very low) are worth investigating.

  • If something looks unusual in the overlay, click through to ListingView for the full context — historical charts often explain what the snapshot can't.

Common questions

The metrics panel is missing or empty — what's wrong?
Make sure you're logged into ListingView and the plugin is enabled. If the page just loaded, give it a moment for the plugin to fetch data from ListingView's servers.

Why is Review Rate different from Etsy's star rating?
Review Rate is the percentage of buyers who left a written review — a different signal from average star score. A shop with a high star rating can still have a low review rate if most buyers don't leave reviews.

Can I see the same metrics in ListingView itself?
Yes — ListingView's Listing Explorer and shop views show all of these metrics and more, including historical charts and tag-level detail. The plugin is a shortcut; ListingView is the full tool.

Related features

  • ListingView Plugin Overview — What the plugin does, install steps, and settings

  • Plugin on Search & Category Pages — Badge chips on Etsy search and category pages

  • Listing Explorer — Full listing analysis in ListingView

  • Outlier Score — How outlier scores are calculated