ownerdomain=gamboahinestrosa.info managerdomain=revbid.net revbid.net, 6953, DIRECT # RevBid + Adagio <3 adagio.io, 1397, RESELLER rubiconproject.com, 19116, RESELLER, 0bfd66d529a55807 improvedigital.com, 1790, RESELLER onetag.com, 6b859b96c564fbe, RESELLER appnexus.com, 13099, RESELLER, f5ab79cb980f11d1 pubmatic.com, 161593, RESELLER, 5d62403b186f2ace rubiconproject.com, 11006, RESELLER, 0bfd66d529a55807 33across.com, 0015a00002oUk4aAAC, RESELLER, bbea06d9c4d2853c yahoo.com, 57289, RESELLER, e1a5b5b6e3255540 appnexus.com, 10239, RESELLER, f5ab79cb980f11d1 rubiconproject.com, 16414, RESELLER, 0bfd66d529a55807 pubmatic.com, 156423, RESELLER, 5d62403b186f2ace rubiconproject.com, 21642, RESELLER, 0bfd66d529a55807 conversantmedia.com, 100141, RESELLER indexexchange.com, 191973, RESELLER, 50b1c356f2c5c8fc triplelift.com, 12503, RESELLER, 6c33edb13117fd86 e-planning.net, 83c06e81531537f4, RESELLER, c1ba615865ed87b2 pubmatic.com, 156631, RESELLER, 5d62403b186f2ace openx.com, 541031350, RESELLER, 6a698e2ec38604c6 rubiconproject.com, 12186, RESELLER, 0bfd66d529a55807 pubmatic.com, 159110, RESELLER, 5d62403b186f2ace indexexchange.com, 194558, RESELLER smartadserver.com, 3554, RESELLER pubmatic.com, 156439, RESELLER, 5d62403b186f2ace pubmatic.com, 154037, RESELLER, 5d62403b186f2ace rubiconproject.com, 16114, RESELLER, 0bfd66d529a55807 openx.com, 537149888, RESELLER, 6a698e2ec38604c6 appnexus.com, 3703, RESELLER, f5ab79cb980f11d1 loopme.com, 5679, RESELLER, 6c8d5f95897a5a3b video.unrulymedia.com, 2564526802, RESELLER pubnative.net, 1006576, RESELLER, d641df8625486a7b admanmedia.com, 43, RESELLER sharethrough.com, OAW69Fon, RESELLER, d53b998a7bd4ecd2 lijit.com, 367236, RESELLER, fafdf38b16bf6b2b openx.com, 538959099, RESELLER, 6a698e2ec38604c6 pubmatic.com, 137711, RESELLER, 5d62403b186f2ace pubmatic.com, 156212, RESELLER, 5d62403b186f2ace rubiconproject.com, 17960, RESELLER, 0bfd66d529a55807 freewheel.tv, 1568036, RESELLER freewheel.tv, 1568041, RESELLER openx.com, 558899373, RESELLER, 6a698e2ec38604c6 video.unrulymedia.com, 5672421953199218469, RESELLER rubiconproject.com, 17960, RESELLER, 0bfd66d529a55807 adform.com, 2865, RESELLER appnexus.com, 12290, RESELLER, f5ab79cb980f11d1 appnexus.com, 9393, RESELLER, f5ab79cb980f11d1 indexexchange.com, 191503, RESELLER, 50b1c356f2c5c8fc openx.com, 559680764, RESELLER, 6a698e2ec38604c6 rubiconproject.com, 23844, RESELLER, 0bfd66d529a55807 smartadserver.com, 3056, RESELLER, 060d053dcf45cbf3 yahoo.com, 49648, RESELLER pubmatic.com, 161527, RESELLER, 5d62403b186f2ace pubmatic.com, 158355, RESELLER, 5d62403b186f2ace lijit.com, 260380, RESELLER, fafdf38b16bf6b2b sovrn.com, 260380, RESELLER, fafdf38b16bf6b2b appnexus.com, 11924, RESELLER, f5ab79cb980f11d1 amxrtb.com, 105199747, DIRECT advertising.com, 28305, RESELLER appnexus.com, 11786, RESELLER, f5ab79cb980f11d1 connectad.io, 1397, RESELLER rubiconproject.com, 26800, RESELLER, 0bfd66d529a55807 admanmedia.com, 2216, RESELLER connectad.io, 456, RESELLER, 85ac85a30c93b3e5 rubiconproject.com, 26800, RESELLER, 0bfd66d529a55807 # RevBid + AdYouLike <3 adyoulike.com, 4db16f63a44a8089eb24922002e88ad0, DIRECT appnexus.com, 7664, RESELLER, f5ab79cb980f11d1 pubmatic.com, 160925, RESELLER, 5d62403b186f2ace rubiconproject.com, 20736, RESELLER, 0bfd66d529a55807 adform.com, 3296, RESELLER, 9f5210a2f0999e32 richaudience.com, JAHJ4YZq4O, RESELLER lijit.com, 408376, RESELLER, fafdf38b16bf6b2b Media.net, 8CU1G827Y, Reseller smilewanted.com, 1494, RESELLER onetag.com, 7a07370227fc000, RESELLER risecodes.com, 64c7a4acd6298f0001a7d867, RESELLER nativo.com, 5848, RESELLER, 59521ca7cc5e9fee nobid.io, 50603, RESELLER adipolosolutions.com, 23015084430, RESELLER smartadserver.com, 4144, RESELLER copper6.com, 766102, RESELLER video.unrulymedia.com, 297618916, RESELLER 33across.com, 0010b00002Xbn7QAAR, RESELLER, bbea06d9c4d2853c thebrave.io, 1234679, RESELLER, c25b2154543746ac indexexchange.com, 190532, RESELLER, 50b1c356f2c5c8fc triplelift.com, 10504, RESELLER, 6c33edb13117fd86 sharethrough.com, UN5mGpO8, RESELLER, d53b998a7bd4ecd2 amxrtb.com, 105199830, RESELLER loopme.com, 11362, RESELLER, 6c8d5f95897a5a3b openx.com, 539466082, RESELLER, 6a698e2ec38604c6 trustedstack.com, TSNC78R17, RESELLER gamoshi.io, 267-b6098, RESELLER, 20e30b2ae1f670f2 videoheroes.tv, 212690, RESELLER, 064bc410192443d8 yieldmo.com, 3482865003332051270, RESELLER video.unrulymedia.com, 639501697, RESELLER strongmetrics.io, 219562, RESELLER vistarsagency.com, cqqccatc23j9v5bv3fv0, RESELLER, 8db795910158017c screencore.io, 276, RESELLER eskimi.com, 2020000792, RESELLER advertising.com, 82643, RESELLER conversantmedia.com, 100292, RESELLER, 03113cd04947736d # RevBid + Sovrn <3 lijit.com, 474880, DIRECT, fafdf38b16bf6b2b lijit.com, 474880-eb, DIRECT, fafdf38b16bf6b2b openx.com, 538959099, RESELLER, 6a698e2ec38604c6 pubmatic.com, 137711, RESELLER, 5d62403b186f2ace pubmatic.com, 156212, RESELLER, 5d62403b186f2ace rubiconproject.com, 17960, RESELLER, 0bfd66d529a55807 appnexus.com, 1019, RESELLER, f5ab79cb980f11d1 video.unrulymedia.com, 2444764291, RESELLER contextweb.com, 558511, RESELLER krushmedia.com, AJxF6R572a9M6CaTvK, RESELLER # RevBid + ImproveDigital <3 improvedigital.com, 2408, RESELLER # RevBid + AdLiveTech <3 adlive.io, 19969, RESELLER themediagrid.com, LVXCEA, DIRECT, 35d5010d7789b49d themediagrid.com, IZLGFV, DIRECT, 35d5010d7789b49d pubmatic.com, 162999, RESELLER, 5d62403b186f2ace rubiconproject.com, 18680, DIRECT, 0bfd66d529a55807 improvedigital.com, 1159, RESELLER # RevBid + Setupad <3 setupad.com, 2424, DIRECT rubiconproject.com, 21118, RESELLER, 0bfd66d529a55807 adform.com, 1484, RESELLER pubmatic.com, 156191, RESELLER, 5d62403b186f2ace smartadserver.com, 3527, RESELLER, 060d053dcf45cbf3 lijit.com, 252889, RESELLER, fafdf38b16bf6b2b openx.com, 540890784, RESELLER, 6a698e2ec38604c6 indexexchange.com, 191541, RESELLER 152media.com, 152, RESELLER adtelligent.com, 534151, RESELLER triplelift.com, 12405, RESELLER, 6c33edb13117fd86 nextmillennium.io, 16454, RESELLER, 65bd090fa4a1e3d6 connectad.io, 416, RESELLER, 85ac85a30c93b3e5 Media.net, 8CU2I176C, RESELLER risecodes.com, 649047cf01889e0001cb85f1, RESELLER 33across.com, 0010b00002bTS1QAAW, RESELLER, bbea06d9c4d2853c onetag.com, 753951255855558, RESELLER #RevBid + Onetag <3 onetag.com, 818fac267e2a1b4, DIRECT onetag.com, 818fac267e2a1b4-OB, DIRECT appnexus.com, 13099, RESELLER, f5ab79cb980f11d1 pubmatic.com, 161593, RESELLER, 5d62403b186f2ace rubiconproject.com, 11006, RESELLER, 0bfd66d529a55807 freewheel.tv, 20393, RESELLER freewheel.tv, 24377, RESELLER # RevBid + AdTarget <3 admatic.com.tr, adm-pub-2977111241, DIRECT, uufps1dh5stc6euk adform.com, 2968, DIRECT, 9f5210a2f0999e32 rubiconproject.com, 25100, DIRECT, 0bfd66d529a55807 criteo.com, B-070303, DIRECT, 9fac4a4a87c2a44f themediagrid.com, DNWTUA, DIRECT, 35d5010d7789b49d adtarget.com.tr, 767666, DIRECT pubmatic.com, 159078, DIRECT, 5d62403b186f2ace adform.com, 2600, DIRECT stroeer.com, 17938, DIRECT # RevBid + E-Planning <3 e-planning.net, f0e8f6477570117b, RESELLER, c1ba615865ed87b2 pubmatic.com, 156631, RESELLER, 5d62403b186f2ace disqus.com, 891, DIRECT zeta.com, 891, DIRECT zetaglobal.net, 891, DIRECT sharethrough.com, 23830661, DIRECT, d53b998a7bd4ecd2 openx.com, 541031350, RESELLER, 6a698e2ec38604c6 triplelift.com, 8446, DIRECT, 6c33edb13117fd86 onetag.com, 5927d926323dc2c, DIRECT nextmillennium.io, 16425, DIRECT, 65bd090fa4a1e3d6 mgid.com, 833178, DIRECT, d4c29acad76ce94f loopme.com, 12858, RESELLER, 6c8d5f95897a5a3b krushmedia.com, AJxF6R489a9M6CaTvK, DIRECT sonobi.com, b812bd55d6, RESELLER, d1a215d9eb5aee9e conversantmedia.com, 41784, RESELLER, 03113cd04947736d Media.net, 8CUT87EOU, DIRECT conversantmedia.com, 41784, DIRECT, 03113cd04947736d 33across.com, 0010b00002ZoRYhAAN, DIRECT, bbea06d9c4d2853c richaudience.com, 9komJKwMhZ, RESELLER google.com, pub-3872674820285626, RESELLER, f08c47fec0942fa0 xapads.com, 162365, RESELLER rtbdemand.com, 23064554446, RESELLER admixer.net, 0cc7386a-d5a3-4b90-aeeb-3e67f8fe, DIRECT video.unrulymedia.com, 827123801, DIRECT pubmatic.com, 160846, RESELLER, 5d62403b186f2ace inmobi.com, 61d733c3779d43e590c51c8bc078e10c, RESELLER, 83e75a7ae333ca9d lijit.com, 380632, RESELLER, fafdf38b16bf6b2b #SOVRN mgid.com, 885240, DIRECT, d4c29acad76ce94f adform.com, 1762, RESELLER video.unrulymedia.com, 827123801, RESELLER video.unrulymedia.com, 2736329702851200000, RESELLER inmobi.com, 9b300ff061ff4501abcdd864e6c1cceb, RESELLER, 83e75a7ae333ca9d sharethrough.com, KGPeiFc6, RESELLER, d53b998a7bd4ecd2 openx.com, 559911747, RESELLER, 6a698e2ec38604c6 pubmatic.com, 164187, RESELLER, 5d62403b186f2ace rubiconproject.com, 26144, RESELLER, 0bfd66d529a55807 trustedstack.com, TSL72ADG4, DIRECT risecodes.com, 673da70c91e2fd000109c6f6, RESELLER crystall.io, 294862, DIRECT lijit.com, 512561, RESELLER, fafdf38b16bf6b2b adyoulike.com, cea2adf686c5179d6d96c9b0bbac777e, RESELLER adyoulike.com, 814ad5a7eb7601cc991ae83a976195b9, RESELLER xandr.com, 13117, RESELLER admatic.de, ade-pub-6537379909, DIRECT, uufps1dh5stc6euk amxrtb.com, 105199734, RESELLER yieldmo.com, 3377199372461613093, RESELLER onetag.com, 87f58fe90234d0e, RESELLER smartadserver.com, 5302, RESELLER, 060d053dcf45cbf3 aceex.io, 2108, DIRECT, b1cf3c874d5c6682 video.unrulymedia.com, 799061815, RESELLER eskimi.com, 2020000186, RESELLER conversantmedia.com, 100066, DIRECT, 03113cd04947736d appnexus.com, 15941, RESELLER, f5ab79cb980f11d1 nglcollective.com, 475, DIRECT kargo.com, 8800, DIRECT tremorhub.com, 51vtw, RESELLER, 1a4e959a1b50034a telaria.com, 51vtw, RESELLER, 1a4e959a1b50034a pubmatic.com, 159933, DIRECT, 5d62403b186f2ace springserve.com, 1247, RESELLER, a24eb641fc82e93d telaria.com, 2auap-ich32, RESELLER, 1a4e959a1b50034a telaria.com, 2auap-45web, RESELLER, 1a4e959a1b50034a rubiconproject.com, 12186, RESELLER, 0bfd66d529a55807 richaudience.com, 25BiP9IMgN, DIRECT pubmatic.com, 163389, RESELLER, 5d62403b186f2ace telaria.com, 2auap-zihku, RESELLER, 1a4e959a1b50034a tremorhub.com, 2auap-ich32, RESELLER, 1a4e959a1b50034a tremorhub.com, 2auap-45web, RESELLER, 1a4e959a1b50034a tremorhub.com, 2auap-zihku, RESELLER, 1a4e959a1b50034a adagio.io, 1417, DIRECT # RevBid + Kueez <3 kueez.com, 023bba2412042299d0702b15b00e4c69, DIRECT appnexus.com, 8826, RESELLER, f5ab79cb980f11d1 rubiconproject.com, 16920, RESELLER openx.com, 557564833, RESELLER lijit.com, 407406, RESELLER media.net, 8cu4jtrf9, RESELLER pubmatic.com, 162110, RESELLER sharethrough.com, n98xdzel, RESELLER 33across.com, 0010b00002odu4haax, RESELLER yieldmo.com, 3133660606033240149, RESELLER onetag.com, 6e053d779444c00, RESELLER video.unrulymedia.com, 3486482593, RESELLER sonobi.com, 4c4fba1717, RESELLER smartadserver.com, 4288, RESELLER zetaglobal.com, 108, RESELLER improvedigital.com, 2106, RESELLER loopme.com, 11576, RESELLER themediagrid.com, uot45z, RESELLER # RevBid + AMXR <3 admixer.net,5ec6caad-1374-4898-b09d-06f75d78bcc0,DIRECT cdn.rtb-stack.com, 5ec6caad-1374-4898-b09d-06f75d78bcc0, DIRECT pubmatic.com, 160846, RESELLER, 5d62403b186f2ace loopme.com, 11488, RESELLER, 6c8d5f95897a5a3b e-planning.net,ec771b05828a67fa,RESELLER,c1ba615865ed87b2 zetaglobal.net, 891, DIRECT video.unrulymedia.com, 851532539, RESELLER admanmedia.com, 1074, RESELLER nextmillennium.io, 16425, RESELLER, 65bd090fa4a1e3d6 onetag.com, 8305cc299686700, RESELLER smartyads.com, 260, RESELLER, fd2bde0ff2e62c5d video.unrulymedia.com, 827123801, RESELLER rubiconproject.com, 15268, RESELLER, 0bfd66d529a55807 pubmatic.com, 159277, RESELLER x.adprime.com, AJxF6R77a9M6CaTvK, RESELLER krushmedia.com, AJxF6R192a9M6CaTvK, RESELLER rubiconproject.com, 26552, RESELLER richaudience.com, 9komJKwMhZ, RESELLER pubmatic.com, 81564, RESELLER, 5d62403b186f2ace rubiconproject.com, 13510, RESELLER google.com, pub-3872674820285626, RESELLER, f08c47fec0942fa0 xapads.com, 162365, RESELLER rtbdemand.com, 23064554446, RESELLER mgid.com, 885240, RESELLER, d4c29acad76ce94f adform.com, 1762, RESELLER smartadserver.com, 3627, RESELLER, 060d053dcf45cbf3 152media.info,152M929,RESELLER appnexus.com, 11924, RESELLER, f5ab79cb980f11d1 # RevBid + ReVantage <3 kueez.com, 023bba2412042299d0702b15b00e4c69,direct appnexus.com,8826,reseller,f5ab79cb980f11d1 rubiconproject.com,16920,reseller,0bfd66d529a55807 openx.com, 557564833, RESELLER, 6a698e2ec38604c6 lijit.com,407406,reseller,fafdf38b16bf6b2b media.net,8cu4jtrf9,reseller pubmatic.com,162110,reseller,5d62403b186f2ace sharethrough.com,n98xdzel,reseller,d53b998a7bd4ecd2 33across.com, 0010b00002ODU4HAAX,reseller, bbea06d9c4d2853c yieldmo.com,3133660606033240149,reseller onetag.com,6e053d779444c00,reseller video.unrulymedia.com,3486482593,reseller sonobi.com,4c4fba1717,reseller,d1a215d9eb5aee9e smartadserver.com,4288,reseller,060d053dcf45cbf3 zetaglobal.com,108,reseller improvedigital.com,2106,reseller adform.com,2926,reseller,9f5210a2f0999e32 start.io, 185522363, reseller loopme.com,11576,reseller,6c8d5f95897a5a3b themediagrid.com,uot45z,reseller,35d5010d7789b49d trustedstack.com, TSIO6G4I5, reseller themediagrid.com, 7H3QAS, RESELLER, 35d5010d7789b49d smaato.com, 1100059464, RESELLER, 07bcf65f187117b4 smaato.com, 1100004890, RESELLER, 07bcf65f187117b4 intenze.co , 200184, DIRECT imds.tv, 82624, RESELLER, ae6c32151e71f19d 152media.info,152M968,RESELLER amxrtb.com, 105199329, RESELLER kueez.com,00f14b9c9ba786f50ea561b30cc33bb0, direct appnexus.com,8826,reseller richaudience.com, 5wLa5vAlFn, RESELLER appnexus.com, 8233, RESELLER adagio.io, 1544, RESELLER rubiconproject.com, 19116, RESELLER, 0bfd66d529a55807 chocolateplatform.com, 21704, RESELLER rubiconproject.com, 24248, RESELLER, 0bfd66d529a55807 screencore.io, 293, DIRECT adyoulike.com, e5bd7e416fd48b8a82c54e94233e5a1e, DIRECT smilewanted.com, 5230, RESELLER pubmatic.com, 158810, RESELLER, 5d62403b186f2ace appnexus.com, 10040, RESELLER rubiconproject.com, 19814, RESELLER, 0bfd66d529a55807 openx.com, 557083110, RESELLER, 6a698e2ec38604c6 smilewanted.com, 5230, RESELLER pubmatic.com, 158810, RESELLER, 5d62403b186f2ace appnexus.com, 10040, RESELLER rubiconproject.com, 19814, RESELLER, 0bfd66d529a55807 openx.com, 557083110, RESELLER, 6a698e2ec38604c6 adscholars.com, 221557, DIRECT ergadx.com, 5258, DIRECT Pubmatic.com, 160881, RESELLER, 5d62403b186f2ace Pubmatic.com, 162147, RESELLER, 5d62403b186f2ace inmobi.com, a465db258ac44b2abb4e100fa019be3c, RESELLER, 83e75a7ae333ca9d rubiconproject.com, 23102, RESELLER, 0bfd66d529a55807 monetixads.com, mix-pub-6611088393, DIRECT, uufps1dh5stc6euk adform.com, 3266, DIRECT improvedigital.com, 1616, RESELLER themediagrid.com, BIH5U6, RESELLER, 35d5010d7789b49d criteo.com, B-064389, RESELLER, 9fac4a4a87c2a44f openx.com, 541163168, DIRECT, 6a698e2ec38604c6 pubmatic.com, 158349, RESELLER, 5d62403b186f2ace #EB pubmatic.com, 158350, RESELLER, 5d62403b186f2ace #TM pubmatic.com, 155968, RESELLER, 5d62403b186f2ace #PB rubiconproject.com, 11398, RESELLER, 0bfd66d529a55807 adform.com, 2668, RESELLER appnexus.com, 11673, RESELLER, f5ab79cb980f11d1 smartadserver.com, 989, RESELLER, 060d053dcf45cbf3 Media.net, 8CU33YS38, RESELLER vi.ai, g-00f44bb9f57d2bb96162c9eda0981f48c2, DIRECT outbrain.com, 0052a42837b505f8ee68b4559b35c4d4d7, DIRECT openx.com, 540393169, RESELLER, 6a698e2ec38604c6 triplelift.com, 11547, RESELLER, 6c33edb13117fd86 improvedigital.com, 1552, Reseller contextweb.com, 562709, RESELLER, 89ff185a4c4e857c aps.amazon.com, 3965, RESELLER freewheel.tv, 1220559, RESELLER freewheel.tv, 1133073, RESELLER sovrn.com, 267974, RESELLER, fafdf38b16bf6b2b adform.com, 2611, RESELLER rubiconproject.com, 19668, RESELLER, 0bfd66d529a55807 indexexchange.com, 190856, RESELLER, 50b1c356f2c5c8fc pubmatic.com, 158615, RESELLER, 5d62403b186f2ace appnexus.com, 7597, RESELLER, f5ab79cb980f11d1 smartadserver.com, 3820, RESELLER video.unrulymedia.com, 367782854, RESELLER indexexchange.com, 193091, RESELLER, 50b1c356f2c5c8fc pubmatic.com, 160065, RESELLER, 5d62403b186f2ace improvedigital.com, 1863, RESELLER freewheel.tv, 1220655, RESELLER google.com, pub-5617098146054077, RESELLER, f08c47fec0942fa0 pubmatic.com, 158055, RESELLER, 5d62403b186f2ace xandr.com, 10736, RESELLER rubiconproject.com, 21506, RESELLER, 0bfd66d529a55807 Indexexchange.com, 190500, RESELLER smartadserver.com,2776,RESELLER openx.com, 540362347, RESELLER, 6a698e2ec38604c6 openx.com, 540362347, RESELLER, 6a698e2ec38604c6 rubiconproject.com, 20086, RESELLER, 0bfd66d529a55807 connectad.io, 508, RESELLER, 85ac85a30c93b3e5 adform.com, 768, RESELLER, 9f5210a2f0999e32 rubiconproject.com, 26800, RESELLER, 0bfd66d529a55807 openx.com, 537145117, RESELLER, 6a698e2ec38604c6 lijit.com, 244287, RESELLER, fafdf38b16bf6b2b openx.com, 538959099, RESELLER, 6a698e2ec38604c6 pubmatic.com, 137711, RESELLER, 5d62403b186f2ace pubmatic.com, 156212, RESELLER, 5d62403b186f2ace appnexus.com, 1019, RESELLER, f5ab79cb980f11d1 rtbhouse.com, f2PMUrbTLheS4d67McTq, DIRECT rtbhouse.com, RcZfc1nKUmkHGXLIwZQb, DIRECT adform.com, 3215, RESELLER appnexus.com, 14416, RESELLER appnexus.com, 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appnexus.com, 15349, RESELLER, f5ab79cb980f11d1 appnexus.com, 12700, RESELLER, f5ab79cb980f11d1 video.unrulymedia.com, 3948367200, RESELLER sharethrough.com, XeKuhSkz, RESELLER, d53b998a7bd4ecd2 33across.com, 0015a00002egvRSAAY, RESELLER, bbea06d9c4d2853c smartadserver.com, 3713, RESELLER, 060d053dcf45cbf3 zetaglobal.net, 757, RESELLER insticator.com,7184c7ca-645a-4e0f-a78c-6d5822b3449f, RESELLER, b3511ffcafb23a32 adyoulike.com, a2226c27fc2a6773f6a2b365e013513a, RESELLER loopme.com, 11386, RESELLER, 6c8d5f95897a5a3b adform.com, 2671, RESELLER smaato.com, 1100058015, RESELLER, 07bcf65f187117b4 richaudience.com, iKKFhsvJ2v, RESELLER yieldmo.com, 2807970144171533194, RESELLER conversantmedia.com, 100308, RESELLER, 03113cd04947736d themediagrid.com, A8X5S7, RESELLER, 35d5010d7789b49d lijit.com, 417620, RESELLER, fafdf38b16bf6b2b sonobi.com, 7b37f8ccbc, RESELLER, d1a215d9eb5aee9e triplelift.com, 12456, RESELLER, 6c33edb13117fd86 amxrtb.com, 105199820, RESELLER media.net, 8CU58PCO4, RESELLER 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Used Car Aggregator A Comprehensive Guide

Defining Used Car Aggregators

Used car aggregators are online platforms that connect buyers and sellers of pre-owned vehicles. These platforms streamline the used car market by aggregating listings from various dealerships and private sellers, providing a centralized search and comparison tool for consumers. This significantly reduces the time and effort required to find a suitable used car, improving the overall user experience.

These platforms act as intermediaries, facilitating the transaction process. Their core function involves showcasing a vast inventory of used cars from multiple sources, allowing potential buyers to compare vehicles based on various criteria, including price, features, and condition. This aggregation of information empowers consumers with better informed decisions and potentially saves them time and money.

Core Functions and Services

Used car aggregators offer a range of services to streamline the used car buying process. These include comprehensive search tools allowing users to filter vehicles by make, model, year, price range, mileage, and other specifications. Detailed vehicle information, including photos and descriptions, are often provided directly on the platform. In addition, many platforms offer tools to compare vehicles side-by-side, facilitating easier decision-making. Features like vehicle history reports and financing options are frequently integrated into the platform, further enhancing the buyer experience.

Types of Used Car Aggregators

Used car aggregators can be categorized into various types based on their functionalities and approach. Online marketplaces, such as Carvana and Autotrader, allow users to directly browse and purchase vehicles from sellers, often including financing options. Comparison websites, such as Edmunds and Kelley Blue Book, provide information and tools to help consumers compare vehicles based on price, features, and market value. These websites typically do not facilitate direct transactions, acting as information aggregators. Mobile apps are increasingly common, offering similar functionality as their desktop counterparts, providing convenience for buyers on the go.

Examples of Successful Used Car Aggregators

Several platforms have successfully established themselves as leading used car aggregators in various markets. Examples include Carvana, Autotrader, and Kelley Blue Book. These platforms have demonstrated success through user-friendly interfaces, comprehensive vehicle listings, and a wide range of associated services. Other notable players include Vroom and CarMax, each with a distinctive approach to the used car market. These examples highlight the evolving nature of used car aggregators and their crucial role in the automotive industry.

Comparison of Different Types

Platform Type Search Functionality User Reviews Financing Options
Online Marketplaces Extensive search filters, detailed vehicle information, side-by-side comparisons Often receive high ratings for ease of use and transaction speed Typically offer in-house financing or partner with financial institutions
Comparison Websites Focus on comparative analysis, vehicle pricing guides, and market insights Generally praised for objective information and insights Usually do not facilitate financing directly; provide resources for finding financing options

This table summarizes key differences between the types of used car aggregators. The comparison emphasizes the distinct functionalities and services offered by each category, allowing consumers to choose the platform best suited to their needs.

Market Dynamics and Trends

Used car aggregator

The used car market is experiencing significant transformation, driven by evolving consumer preferences, technological advancements, and market forces. Used car aggregators are central to this shift, acting as intermediaries connecting buyers and sellers, streamlining the often-complex transaction process. Understanding the market dynamics and trends impacting this sector is crucial for success in this rapidly changing environment.

The used car market, historically characterized by fragmented listings and opaque pricing, is rapidly consolidating through the rise of online aggregators. This consolidation is being fueled by factors such as growing consumer trust in online platforms and the desire for a more efficient and transparent buying experience. The accessibility and convenience offered by aggregators are driving significant growth, making them a vital part of the modern used car ecosystem.

Current Market Size and Growth Potential

The global used car market is substantial, with significant growth potential. Numerous factors, such as population growth, urbanization, and changing mobility patterns, are contributing to this growth. The emergence of used car aggregators presents a significant opportunity to capture a substantial portion of this market. Estimates show that the market for used car aggregators is expected to grow at a CAGR of [Insert Percentage] over the next five years, fueled by rising demand for convenient and transparent online buying experiences.

Key Trends Shaping the Used Car Market

Several key trends are reshaping the used car market. Increased online shopping, the rise of e-commerce, and a preference for convenient solutions are major drivers. Consumers are increasingly turning to digital platforms for information and transactions, leading to a greater reliance on aggregators for research, comparison, and purchase. The rise of electric vehicles and the associated demand for used electric models are also impacting the market, creating new niches and opportunities for aggregators. Additionally, the shift towards subscription-based mobility services and rental models is changing how consumers approach car ownership, which is a major factor in influencing the used car market and affecting aggregators.

Competitive Landscape and Strategies

The used car aggregator market is becoming increasingly competitive. Major players are employing various strategies to attract and retain customers. These include innovative pricing models, comprehensive listings, user-friendly interfaces, and strategic partnerships with dealerships and financing providers. Differentiation is key, with some aggregators focusing on specific vehicle types (e.g., luxury, electric), geographic regions, or customer segments. Competitive analysis reveals that aggregators are investing heavily in data analytics and machine learning to improve their pricing algorithms and personalize the customer experience.

Evolving Technologies Impacting the Sector

Technological advancements are transforming the used car aggregation sector. AI-powered tools are being used to analyze vehicle data, predict pricing, and personalize user experiences. Blockchain technology has the potential to enhance transparency and security in transactions. Data analytics plays a crucial role in identifying market trends, optimizing pricing strategies, and improving customer service. Augmented reality (AR) and virtual reality (VR) technologies are also emerging as powerful tools for enhancing the customer experience by enabling virtual test drives and providing detailed 3D visualizations of vehicles.

Challenges and Opportunities

Used car aggregators face several challenges, including ensuring accurate vehicle information, managing fraudulent listings, and maintaining trust with customers. Regulatory compliance and data security are also important considerations. Opportunities include expanding into new markets, developing innovative financing solutions, and leveraging emerging technologies to enhance the customer experience. Aggregators are addressing these challenges through enhanced verification processes, robust fraud detection systems, and transparent pricing models. They are also exploring new avenues like partnerships with insurance companies and repair shops to provide a more holistic automotive experience.

Growth of Used Car Aggregators (Past 5 Years)

Year Number of Listings User Traffic (in millions)
2019 [Insert Number] [Insert Number]
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User Experience and Customer Journey

A strong user experience (UX) is paramount for the success of any used car aggregator. A positive experience fosters user trust, encourages repeat business, and ultimately drives conversions. Understanding the typical user journey, identifying pain points, and implementing improvements are crucial for establishing a competitive edge in the market. This section delves into the nuances of user experience, highlighting factors that impact user satisfaction and loyalty.

Typical User Journey

The typical user journey on a used car aggregator platform begins with a search for a specific vehicle. Users often utilize filters to narrow down their options based on criteria like make, model, year, price range, mileage, and location. After identifying potential vehicles, users typically proceed to view detailed vehicle information, including photos, specifications, and any relevant service history. If the vehicle meets their requirements, users will proceed to contact the seller directly, either through the platform’s messaging system or via other communication channels. Ultimately, a successful transaction involves a smooth negotiation process, a secure payment method, and a clear handover process.

Factors Influencing User Satisfaction and Loyalty

Several factors significantly influence user satisfaction and loyalty on used car aggregator platforms. These include the platform’s ease of use, the accuracy and completeness of vehicle listings, the speed and efficiency of communication with sellers, the security of the transaction process, and the overall customer support available. Trust and reliability are key elements in building lasting relationships with users. Positive experiences, such as quick resolution of issues, transparent communication, and efficient transactions, are crucial for maintaining loyalty. Negative experiences, such as misleading information, delays, or lack of support, can quickly erode user trust and lead to dissatisfaction.

Importance of User-Friendly Interfaces and Navigation

A user-friendly interface and intuitive navigation are essential for a positive user experience. Clear categorization of vehicles, easy-to-use filters, and a visually appealing design contribute to a seamless browsing experience. Effective navigation allows users to quickly locate the desired vehicles, compare options, and complete the purchase process efficiently. A cluttered or confusing interface can deter users, leading to frustration and abandonment. A well-designed interface allows users to easily find what they are looking for, minimizing friction and maximizing engagement.

Key Pain Points in the User Experience

Common pain points in the user experience on used car aggregator platforms include inaccurate or incomplete vehicle listings, difficulty in contacting sellers, inconsistent pricing across listings, lack of transparency in transaction processes, and a lack of secure payment options. These issues can negatively impact user trust and satisfaction. Other challenges include navigating complex interfaces, inconsistent quality of seller information, and unreliable or missing vehicle history reports. Users often express frustration with difficulties in verifying vehicle authenticity and the lack of readily available customer support.

User Experience Features to Enhance Engagement and Conversions

Implementing the following features can enhance user engagement and conversion rates on used car aggregator platforms.

Feature Description Benefit
Detailed Vehicle History Reports Integrate comprehensive vehicle history reports directly into listings. Increased trust and transparency; reduced risk of purchasing problematic vehicles.
Secure Payment Gateway Integration Offer a secure payment gateway for transactions. Enhanced security; increased user confidence in the platform.
Interactive Vehicle Comparisons Enable users to directly compare multiple vehicles side-by-side. Improved decision-making; reduced browsing time.
Real-time Inventory Updates Ensure vehicle listings are updated in real-time to reflect current availability. Minimizes confusion from outdated listings; maintains user engagement.
Seller Verification and Rating System Implement a system to verify seller information and provide user ratings. Increased trust in sellers; improved transaction reliability.
Advanced Search Filtering Allow users to refine search results with more granular criteria. Targeted searches; increased efficiency; user satisfaction.

Business Models and Revenue Streams

Used car aggregator

Used car aggregators are transforming the automotive market by connecting buyers and sellers in a streamlined, efficient manner. Crucial to their success is a robust and sustainable business model that generates revenue while providing a valuable service to all stakeholders. Different approaches to monetization are employed, each with its own strengths and weaknesses. Understanding these models is critical to assessing the potential of this rapidly evolving industry.

A variety of business models cater to different needs and market segments within the used car market. The choice of model impacts everything from user experience to profitability and scalability. Careful consideration of the target audience, competition, and market trends is essential for selecting a model that best positions the aggregator for long-term success.

Common Business Models

Used car aggregators typically utilize a few key business models to generate revenue. These models can be broadly categorized into commission-based models, subscription models, and advertising-supported models, with variations on each.

  • Commission-Based Model: This model is prevalent in the industry. Aggregators typically charge a commission on each successful sale facilitated through their platform. This commission can be a fixed percentage of the sale price or a tiered system based on the sale value. For example, a commission of 2% on a $20,000 vehicle would yield a $400 commission for the aggregator. This model incentivizes the platform to ensure a smooth and efficient transaction process, directly benefiting both buyers and sellers.
  • Subscription Model: Some aggregators offer premium features or services to registered users through subscriptions. These features could include advanced search filters, priority listings, or vehicle valuations. Subscription fees are determined by the scope and depth of the premium features offered. For instance, a premium subscription might unlock access to a detailed vehicle history report or expedited buyer verification, adding value for paying members and generating revenue for the platform.
  • Advertising-Supported Model: A less common model, this strategy utilizes advertisements displayed on the platform to generate revenue. The revenue is generated through pay-per-click (PPC) or cost-per-impression (CPM) advertising. This model can be integrated with other models to broaden revenue streams. This approach can be successful if the platform attracts a high volume of users and views, ensuring a substantial ad inventory for advertisers. The key here is attracting sufficient user traffic to support a profitable advertising model.

Revenue Generation Mechanisms

The revenue generation of used car aggregators is deeply intertwined with the specific business model employed.

  • Commission Model: Revenue is directly tied to the successful completion of transactions. Higher transaction volumes and higher average sale prices translate to higher revenue. Factors influencing this model include transaction fees, volume of listings, and pricing strategies.
  • Subscription Model: Revenue is generated by charging users for access to premium features. The pricing strategy and the number of subscribers directly impact the revenue. Premium features can include advanced search, prioritized listings, or enhanced vehicle valuations.
  • Advertising Model: Revenue is generated through the display of advertisements. Factors influencing this model include the volume of users, traffic on the platform, and the types of advertisements shown.

Role of Partnerships and Collaborations

Strategic partnerships are critical for the success of used car aggregators. Collaborations with financing institutions, dealerships, and insurance companies can significantly expand the platform’s reach and capabilities.

  • Financing Partnerships: These partnerships offer financing options to buyers, potentially increasing sales volume and revenue through commissions. For example, a partnership with a major lender could offer attractive financing packages directly on the platform.
  • Dealership Collaborations: Working with dealerships provides access to a vast inventory of vehicles and establishes a network for faster transaction processes. The collaboration allows aggregators to reach a broader customer base and increase their market share.
  • Insurance Partnerships: Insurance companies can offer comprehensive insurance products for the vehicles listed on the platform, adding value to the transaction and providing another revenue stream through commissions or partnerships.

Comparative Analysis of Revenue Models

Different revenue models cater to varying market needs and have distinct advantages and disadvantages.

Revenue Model Advantages Disadvantages
Commission-based High revenue potential with successful transactions, direct incentive for efficient transactions. Reliance on transaction volume, potential for low revenue on unsuccessful transactions.
Subscription-based Stable revenue stream, ability to offer premium features. Requires attracting a large number of subscribers, pricing strategy needs careful consideration.
Advertising-based Potentially high revenue with substantial user traffic, lower reliance on transaction volume. Dependence on user engagement and traffic volume, may not be as lucrative compared to other models.

Implementing a Successful Business Model

Success in the competitive used car market hinges on strategic implementation. A strong brand identity, user-friendly platform design, and meticulous market research are key elements.

  • Focus on User Experience: A seamless user experience across all platforms (web, mobile) is crucial for attracting and retaining users.
  • Data-Driven Decision Making: Analyzing user data and market trends enables informed decisions on pricing strategies, marketing campaigns, and feature development.
  • Strategic Partnerships: Cultivating strong relationships with key stakeholders (financing institutions, dealerships, insurance companies) is crucial for expansion and market penetration.

Technology and Infrastructure

A successful used car aggregator platform hinges on a robust technical infrastructure capable of handling massive amounts of data, processing complex algorithms, and ensuring secure transactions. This infrastructure must be scalable to accommodate increasing user traffic and data volume as the platform grows. Furthermore, efficient data management is crucial for accurate information display and user experience.

Technical Infrastructure Requirements

The core of a used car aggregator platform lies in its technical infrastructure. This includes a powerful database system capable of storing and retrieving vast amounts of vehicle data, detailed information, and user interactions. A robust API (Application Programming Interface) is essential for seamless integration with various third-party services, such as dealerships, auctions, and financing institutions. Furthermore, the platform needs a scalable architecture to handle high volumes of traffic and requests, ensuring quick response times and a smooth user experience.

Data Management and Processing

Data management and processing are critical components of the platform’s functionality. The platform must effectively collect, clean, validate, and store vehicle data from multiple sources. Data quality is paramount; inaccurate or inconsistent data leads to unreliable results and a poor user experience. Sophisticated algorithms are needed to process this data, matching user searches with relevant vehicles, calculating market values, and providing insights. Real-time updates are also vital for maintaining accuracy and relevance.

Data Analysis and Visualization Technologies

Advanced analytics and visualization tools are crucial for extracting meaningful insights from the vast amount of vehicle data. These technologies include machine learning algorithms to predict vehicle prices, identify trends in the market, and recommend vehicles based on user preferences. Data visualization tools are essential for presenting complex data in an easily understandable format, allowing users to quickly compare vehicles and make informed decisions. Dashboards and interactive charts provide an intuitive understanding of market trends, price fluctuations, and vehicle popularity.

Security and Fraud Prevention

Security is paramount in a platform handling sensitive financial transactions and personal data. Robust security measures, including encryption and secure payment gateways, are essential to protect user information and prevent fraudulent activities. Real-time fraud detection systems, using algorithms to identify suspicious patterns and transactions, are critical. Regular security audits and updates are also vital for maintaining the integrity of the platform.

Essential Technologies for a Used Car Aggregator Platform

Technology Functionality Importance
Cloud Computing Provides scalable infrastructure, data storage, and processing capabilities. Essential for handling large volumes of data and user traffic, enabling scalability and cost-effectiveness.
Relational Databases (e.g., PostgreSQL, MySQL) Stores structured vehicle data, user information, and transaction details. Ensures data integrity and efficient retrieval of information for user searches and analyses.
NoSQL Databases (e.g., MongoDB) Handles unstructured data like images, reviews, and documents. Crucial for storing supplementary vehicle information and user feedback, enriching the platform’s content and enhancing user experience.
API Integrations Connects with various third-party services, such as dealerships, auctions, and financing institutions. Facilitates data aggregation from multiple sources, providing a comprehensive view of the market and improving user experience.
Machine Learning Algorithms Predicts vehicle prices, identifies market trends, and recommends vehicles. Enhances user experience by providing personalized recommendations and insights, leading to informed purchasing decisions.
Data Visualization Tools Presents complex data in an easily understandable format. Enables users to quickly grasp market trends, price fluctuations, and vehicle popularity, improving decision-making.
Security Protocols (e.g., HTTPS, encryption) Protects sensitive user data and financial transactions. Maintains user trust and prevents fraudulent activities, crucial for building a secure and reliable platform.

Future Projections and Predictions

Aggregator freight

The used car aggregation market is poised for significant growth and transformation in the coming years. Emerging technologies are set to reshape the industry, impacting everything from how cars are listed and discovered to the overall customer experience. Anticipating these changes is crucial for aggregators to remain competitive and capitalize on the opportunities that lie ahead.

Potential Future Trends and Innovations

The used car market is undergoing a digital transformation, driven by technological advancements and evolving consumer expectations. Mobile-first strategies, AI-powered tools, and immersive experiences will redefine the buyer journey. Furthermore, a more integrated approach, encompassing various industries such as financing and insurance, is anticipated. This integration will create a more streamlined and comprehensive platform for consumers.

Impact of Emerging Technologies

Artificial intelligence (AI) is expected to play a pivotal role in the used car aggregation sector. AI-powered tools can enhance the accuracy of vehicle valuations, personalize the user experience, and automate tasks such as fraud detection. Machine learning algorithms can analyze vast datasets to identify trends and predict future market values, providing more informed valuations to both buyers and sellers. Virtual reality (VR) and augmented reality (AR) technologies are poised to revolutionize the way consumers interact with used cars. VR demonstrations of vehicle interiors and exteriors, or AR overlays for visualizing potential modifications, will offer enhanced customer engagement and streamline the decision-making process.

Market Growth and User Adoption Projections

The used car aggregation market is projected to experience substantial growth in the coming years, driven by increasing consumer demand for convenient online platforms and the ongoing shift towards digital transactions. Factors such as rising fuel costs, environmental concerns, and the desire for lower-cost vehicles are likely to fuel this growth. High user adoption is anticipated, especially in regions where traditional car dealerships are less accessible or where the online shopping culture is well-established.

Further Integration with Other Industries

The potential for integration with other industries is significant. Collaborations with financing companies can facilitate streamlined financing options for buyers, while partnerships with insurance providers can offer bundled services and comprehensive packages. This integration will create a more holistic experience for consumers, potentially enhancing the platform’s value proposition.

Potential Future Developments for Used Car Aggregators

Development Description Impact
AI Integration Implementing AI-powered tools for vehicle valuation, fraud detection, and personalized recommendations. Increased accuracy in pricing, improved user experience, and reduced fraudulent activities.
VR/AR Capabilities Offering virtual tours of vehicles, allowing users to virtually try out different configurations, and integrating AR features to overlay modifications onto vehicles. Enhanced user engagement, improved decision-making, and a more immersive experience for prospective buyers.
Blockchain Integration Utilizing blockchain technology for secure transactions and transparent records, enhancing trust and reducing fraud. Improved security, increased transparency, and potentially reduced costs for transactions.
Predictive Analytics Employing data analysis to predict future market trends, allowing aggregators to provide more accurate pricing and inventory management. More informed pricing strategies, better inventory planning, and enhanced market intelligence.

Regulatory and Legal Aspects

Used car aggregators operate within a complex web of regulations, impacting their operations, user experience, and overall profitability. Navigating these legal landscapes is crucial for their long-term success and consumer trust. Understanding the nuances of applicable laws and regulations is essential to mitigate risks and maintain compliance.

Legal frameworks vary significantly across jurisdictions, necessitating a tailored approach for used car aggregators operating globally. Government policies and consumer protection laws play a pivotal role in shaping the market environment, directly affecting how these platforms operate and interact with their users. This section details the key regulatory and legal considerations impacting used car aggregators.

Regulatory Frameworks and Legal Considerations

Used car aggregators face a multitude of regulatory challenges related to data privacy, consumer protection, product liability, and business licensing. These regulations encompass aspects like data security, advertising standards, and vehicle verification processes. Compliance with these rules is paramount for maintaining operational integrity and preventing legal issues.

Role of Government Policies and Regulations

Government policies significantly influence the used car aggregator market. Regulations pertaining to vehicle safety standards, emissions testing, and used vehicle sales processes can directly impact aggregator operations. For instance, stricter emission standards may influence the types of vehicles listed on the platform, while changes in licensing requirements for dealers could affect the aggregator’s business partnerships. Government initiatives to promote transparency and consumer protection in online marketplaces directly impact aggregator practices.

Consumer Protection Laws and Compliance Requirements

Consumer protection laws are critical for used car aggregators. These laws often mandate disclosure requirements for vehicle condition, history, and pricing. Compliance with these laws is essential to avoid legal disputes and maintain consumer trust. Strict adherence to consumer rights, such as the right to return or redress, is paramount. Failure to comply with consumer protection laws can result in substantial fines and reputational damage.

Potential Legal Risks and Liabilities

Used car aggregators face potential legal risks and liabilities related to misrepresentation of vehicle details, fraudulent activities, and disputes over vehicle condition or price. The potential for disputes over vehicle authenticity, quality, and pricing, or mismatches between the advertised and actual condition of a vehicle, can lead to significant legal challenges. Aggregator platforms must establish robust mechanisms for verifying vehicle information and resolving disputes to mitigate these risks. This includes implementing clear policies regarding user responsibilities, such as providing accurate information and verifying the legitimacy of the vehicles listed on their platforms.

Key Legal and Regulatory Considerations for Used Car Aggregators

Aspect Description Mitigation
Data Privacy Regulations regarding data collection, storage, and use of user information. Implementing robust data security measures, obtaining explicit consent for data collection, and adhering to relevant privacy laws (e.g., GDPR, CCPA).
Consumer Protection Laws mandating disclosure requirements, dispute resolution mechanisms, and consumer rights. Clearly outlining disclosure policies, providing transparent dispute resolution processes, and adhering to consumer rights standards.
Product Liability Potential legal responsibility for defects or misrepresentations in listed vehicles. Implementing comprehensive vehicle verification procedures, including inspection reports and historical records, to minimize the risk of undisclosed defects.
Business Licensing Requirements for operating as an intermediary in the used vehicle market. Obtaining necessary licenses and permits to operate legally in each jurisdiction.
Fraud Prevention Measures to combat fraudulent activities, including fake listings and scams. Implementing robust verification processes for sellers and vehicles, including background checks and fraud detection systems.

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