If you source links from both seo-jungle.com and topserp.pro, one number decides how much you overwrite yourself: how much do their site databases overlap? We matched both catalogs on the normalized domain (lowercased, no scheme or www) inside our Backlink Pricing dataset.
The overlap
The two databases share 6,561 domains — 63% of seo-jungle.com and 36% of topserp.pro. As a Jaccard index (shared ÷ combined) the catalogs are 30% identical, so about 70% of the combined pool is exclusive to one side.
Unique inventory
- 3,912 domains on seo-jungle.com only (37% of its catalog).
- 11,756 domains on topserp.pro only (64% of its catalog).
Where they overlap, who's cheaper?
For the 6,561 shared domains priced on both platforms, comparing the cheapest listing on each:
On identical inventory, seo-jungle.com is the cheaper source 3% of the time (median $414 vs $90 for the same sites). The average absolute price gap per shared domain is $454 — always price-check a placement across platforms before buying.
Quality (Domain Rating)
| DR band | On both | seo-jungle.com only | topserp.pro only |
|---|---|---|---|
| DR 80–100 | 1% | 2% | 2% |
| DR 60–79 | 13% | 12% | 9% |
| DR 40–59 | 35% | 27% | 24% |
| DR 20–39 | 39% | 40% | 44% |
| DR 0–19 | 11% | 20% | 21% |
Median DR: 39 shared, 34 seo-jungle.com-exclusive, 33 topserp.pro-exclusive.
Geography
| # | seo-jungle.com | domains | topserp.pro | domains |
|---|---|---|---|---|
| 1 | France | 3,401 | France | 5,838 |
| 2 | United States | 2,110 | United States | 3,217 |
| 3 | India | 906 | India | 1,521 |
| 4 | Italy | 429 | Italy | 799 |
| 5 | DK | 318 | Germany | 711 |
| 6 | United Kingdom | 311 | United Kingdom | 636 |
FAQ
Does "on both" mean the same seller?
Not necessarily — a domain can be listed on both marketplaces by the same publisher or different resellers. What's shared is the placement opportunity, which is what you dedupe before buying.
Is a bigger database always better?
No. Overlap, price spread, DR/traffic quality and geography decide value for a specific campaign. Comparing databases is how you buy the same link for less and find inventory a single platform can't offer.