A Slovenian electronics store added three EU marketplaces on one Marqetir subscription. Here is what the first month looked like.
Gizzmo.si sells gadgets and consumer electronics, a catalog where titles, keywords and seasonal pricing all matter. On a single marketplace they had hit a ceiling at around 180 orders a month, with revenue that had stopped climbing. Adding marketplaces was the obvious next move; doing it by hand was the problem.
One marketplace, around 180 orders a month, and growth that had flattened out. The store had outgrown a single channel.
Updating stock, adjusting prices, and rewriting descriptions for seasonal changes ate roughly 60 hours every month, on one marketplace alone.
Adding marketplaces meant multiplying that 60-hour workload by three or four. Done manually, expansion simply did not pay for itself.
Hand-written listings were functional but generic: no keyword research, no marketplace-specific formatting, English only.
Same store, same catalog. What changed was who did the listing work and how many marketplaces it reached.
| Metric | Before: manual, 1 marketplace | After: Marqetir, 4 marketplaces | Δ |
|---|---|---|---|
| Time on listing management | ~60 hours / month | ~3 hours / month | 95% less |
| Conversion rate (Kaufland) | Hand-written baseline | +22% vs manual | +22% |
| Active marketplaces | 1 marketplace | 4 marketplaces | 4 channels |
| Monthly orders | 180 orders | 720 orders | 4x volume |
| Listing localization | English only, generic titles | DE + PL, per-marketplace SEO | Localized |
| Ongoing effort to add a channel | Multiply work 3-4x | Select & publish | Near-zero |
Gizzmo.si connected their existing store, picked four marketplaces, and let Marqetir handle the part that used to take 60 hours a month, at a quality the team couldn’t match by hand.
The existing catalog imported in one pass, with Kaufland, Allegro, Amazon and eBay selected as targets. No rebuild, no re-keying.
German for Kaufland, Polish for Allegro, plus marketplace-specific title formats and keyword research, automatically, across the whole catalog.
Inventory and pricing sync across all four marketplaces from a single pool, so nothing gets updated by hand and the store never oversells.
The AI-generated Kaufland listings converted 22% better than the manual versions, from day one rather than after weeks of tuning.
Imported the full catalog from the existing store and selected Kaufland, Allegro, Amazon and eBay as targets.
Each listing rewritten, translated and formatted per marketplace: German for Kaufland, Polish for Allegro.
Live on Kaufland, Allegro, Amazon and eBay at once. Four channels from one click.
Orders arriving from all four channels. Inventory and pricing syncing from a single stock pool.
720 orders, 4x the volume, on roughly 3 hours of management for the entire month.
“€249 a month is what stood between us and €12,000 in new revenue. I did the math twice. The AI-generated Kaufland listings convert 22% better than the ones I wrote by hand, and the ROI works out to something like 48x.”
Gizzmo.si now processes 720 orders a month across four marketplaces, up from 180 on one, and the team spends roughly 3 hours a month on listing management instead of 60. The AI listings keep outperforming the manual ones, and Bol.com and Cdiscount are next on the list for the Benelux and French markets.
Read how TastyDose and Netscroll scaled the same way, browse every case study, or see how Marqetir generates and translates listings at this scale in the full feature set.
The questions sellers ask before they do the math themselves.
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