ads.txt Company Ranking

adstxtlab constantly crawls the web for ads.txt files and monitors their results. While doing that, we get a deep insight in how the advertising world looks like. With this data we create a monthly ranking of companies that are listed in the ads.txt files around the world. Here is the current top 50:

Top 50 company ranking

#CompanyLast month
1. Google 1 (+/-0)
2. AppNexus 2 (+/-0)
3. Rubicon Project 3 (+/-0)
4. PubMatic 4 (+/-0)
5. OpenX 6 (+1)
6. PulsePoint 5 (-1)
7. One by AOL 7 (+/-0)
8. Index Exchange 8 (+/-0)
9. SpotX 9 (+/-0)
10. FreeWheel 10 (+/-0)
11. Sovrn 11 (+/-0)
12. Smart RTB+ 12 (+/-0)
13. Telaria (fka Tremor Video) 13 (+/-0)
14. LKQD 14 (+/-0)
15. Fyber 15 (+/-0)
16. Improve Digital 18 (+2)
17. District M 16 (-1)
18. Amazon 17 (-1)
19. GumGum 19 (+/-0)
20. bRealtime 20 (+/-0)
21. Criteo 21 (+/-0)
22. Teads 22 (+/-0)
23. AdForm 24 (+1)
24. 33Across 23 (-1)
25. RhythmOne 27 (+2)
26. Taboola 26 (+/-0)
27. SpringServe 28 (+1)
28. Bidfluence 32 (+4)
29. Conversant 29 (+/-0)
30. COMET 36 (+6)
31. Sonobi 25 (-6)
32. C1X 30 (-2)
33. BrightRoll from Yahoo! 33 (+/-0)
34. Sharethrough 35 (+1)
35. TidalTV 31 (-4)
36. Sekindo 34 (-2)
37. Video Intelligence 37 (+/-0)
38. AdYouLike 39 (+1)
39. TripleLift 38 (-1)
40. Synacor 41 (+1)
41. Smartclip 44 (+3)
42. Media.net 50 (+8)
43. ucfunnel 40 (-3)
44. Imonomy 42 (-2)
45. Exponential 46 (+1)
46. Tribal Fusion 45 (-1)
47. Inneractive 43 (-4)
48. Smaato 48 (+/-0)
49. Optimatic 53 (+4)
50. Yieldmo 47 (-3)

Want to know more?

The full list of more than 250 companies is available on request. Please get in touch with us.

What's ads.txt?

Ads.txt stands for "Authorized Digital Sellers". It is a mechanism on how a publisher/website owner can tell potential buyers that the traffic they are buying is valid. It also tells the buyer that the SSP/DSP from which they are receiving the traffic is wanted/allowed by the publisher. This prevents third parties ("ad-frauders") to send traffic to buyers and claim that the traffic originates from your website (by falsifying the referrer domain in the bid-request). Read more