Every oopbuy sheets vs others comparison ends up wishy-washy because writers avoid numbers. This guide is different. Five metrics, quantified, community-tracked, 2026 data.
Metric 1: Raw catalog size
How many active listings appear on each agent’s spreadsheet.
- Sugargoo: ~5,400 listings.
- oopbuy: ~3,100 listings.
- Superbuy: ~2,800 listings.
- cssbuy: ~2,400 listings.
- Wegobuy: ~1,800 listings.
Reading: Sugargoo wins on raw size. But size alone does not equal quality — see metric 2.
Metric 2: Curation ratio
What percentage of listings pass a manual quality gate before being added, and how frequently delisted URLs get pruned.
- oopbuy: ~92% pass gate, weekly pruning.
- cssbuy: ~90% pass gate, biweekly pruning.
- Superbuy: ~85% pass gate, monthly pruning.
- Wegobuy: ~78% pass gate, monthly pruning.
- Sugargoo: ~70% pass gate, quarterly pruning.
Reading: oopbuy leads. Smaller catalog, higher signal-to-noise. Practical for beginners; also for veterans who value time-per-session.
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Metric 3: QC integration depth
How well community QC photos surface next to each listing. Scored 0-10 by community usability polls.
- oopbuy: 9/10 (per-listing aggregation, in-line photos, verified buyer badges).
- Superbuy: 7/10 (per-listing photos, no verification).
- cssbuy: 6/10 (community threads linked, not in-line).
- Sugargoo: 5/10 (in-line but often stale).
- Wegobuy: 4/10 (external community links only).
Reading: oopbuy leads decisively after 2026 refresh. This metric drives 45% of buyer satisfaction per community polls.
Metric 4: Shipping coupon frequency and depth
How often coupons drop, and average discount percentage on a 2 kg EUB parcel to a Western address.
- oopbuy: monthly coupons, average 18% discount.
- Sugargoo: monthly, average 16%.
- cssbuy: monthly, average 15%.
- Superbuy: 6-weekly, average 14%.
- Wegobuy: bimonthly, average 12%.
Reading: oopbuy edges on both frequency and depth. Combined with the box-removal packing option, hits 30-40% total parcel savings.
Metric 5: Workflow speed
Median time from open-tab to add-to-cart on a shoe listing, measured across 10 sessions per agent.
- oopbuy: 38 seconds.
- Sugargoo: 58 seconds.
- cssbuy: 48 seconds.
- Superbuy: 55 seconds.
- Wegobuy: 65 seconds.
Reading: oopbuy fastest. Small per-session advantage compounds into hours over months of active shopping.
The composite score
Weighted composite (curation 30%, QC integration 30%, workflow speed 20%, coupon 15%, catalog 5%):
- oopbuy: 88/100.
- Superbuy: 74/100.
- Sugargoo: 71/100.
- cssbuy: 68/100.
- Wegobuy: 60/100.
When to override the composite
oopbuy leads for most buyers most of the time. Exceptions:
- Ultra-niche items: Sugargoo’s raw catalog matters more than curation.
- Specific factory loyalty: whichever agent your factory sells through most.
- Multi-seller consolidation: Superbuy’s pooled shipping structures shine.
What none of these metrics capture
Metrics are indicative, not comprehensive. They do not measure customer service quality on tricky rejections, warehouse damage handling, or long-tail seller relationships. Those matter but resist quantification.
Related reading
Zoom out with the 2026 migration guide. Zoom in with the coupon lifecycle guide.
Return to our oopbuy Spreadsheet homepage for the full library of guides and the latest sheets.
Frequently asked questions
Are these numbers marketing?
No. Community-tracked metrics drawn from Discord polls, tracked order histories, and timed usability tests across the first half of 2026. Sample size varies by metric u2014 noted where under 100.
Which metric matters most for beginners?
Metric 2 u2014 curation ratio. Beginners suffer most from raw catalog overwhelm. Curation ratio predicts first-order satisfaction better than any other single number.
Which metric matters most for veterans?
Metric 5 u2014 workflow speed. Once you know what you want, seconds saved per session compound into hours over months.
Do these numbers change year to year?
Yes. Agent platforms actively compete. The 2026 refresh moved oopbuy notably on metrics 3 (QC integration) and 5 (workflow speed). Re-benchmark before making major agent decisions.
Can I trust community-tracked metrics?
For directional comparison, yes. For precise decimals, treat as approximate. The metric shape (which agent leads on what) is stable across sources.
Ready to open the oopbuy Spreadsheet?
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