At a glance
Save Rate (per 1000 views) is the listing-health metric that tells you how many shoppers tapped the heart to save a listing for every 1,000 times that listing was seen. On Depop it is the single clearest read on whether your photos, price and hashtags match what your target buyer is hunting for. A save is the strongest pre-purchase intent signal the platform exposes, and Depop’s discovery surfaces reward listings that earn saves. When the rate slips below roughly 2 saves per 1,000 views, it usually means the first photo or the aesthetic framing is off, not that demand has vanished.
Calculation
Save Rate is computed as total saves divided by total listing views over the window, then scaled to a per-1,000-views basis. Vortex IQ reads both counts from the Depop integration and normalises them so the figure is comparable across shops of very different traffic sizes. The exact view-attribution model is set by Depop and is described here in general terms rather than as a fixed formula.Worked example
A representative reading of Save Rate (per 1000 views) for a typical vintage-denim seller on Depop. Over the last 30 days the shop drew about 48,000 listing views and earned 71 saves, giving a save rate of roughly 1.5 per 1,000, under the 2.0 target band. Drilling in with Vortex Mind showed the dip was concentrated on newly listed items shot against a busy background, while older studio-lit listings still cleared 3.0+. The fix was framing, not pricing. After reshooting the lead photo on a plain wall and adding the five most-searched hashtags, the cohort recovered to 2.6 per 1,000 within two weeks and sell-through followed. To explore which listings drag the average down, ask Ask Viq for the lowest-saving listings this month.Sibling cards merchants should reference together
Reconciling against Depop
Where to look in Depop’s own dashboard: Depop exposes per-listing saves and views in the listing insights view inside the seller app. Aggregate save rate is not shown as a single shop-wide figure there, so the cleanest reconciliation is to spot-check a handful of high-traffic listings and confirm their saves and views line up with what Vortex IQ aggregates. Why the Vortex IQ value may legitimately differ:
Cross-connector reconciliation: pair save rate with photo and hashtag health to see whether weak engagement is a content problem. For divergence investigations, use Vortex Mind.