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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Edmunds Used Car Prices Your Guide to Smart Shopping

Overview of Edmunds Used Car Prices

Edmunds used car prices

Edmunds provides a comprehensive resource for evaluating used car prices, empowering consumers with data-driven insights to make informed purchasing decisions. Its platform leverages extensive market analysis to deliver accurate valuations, helping buyers negotiate effectively and avoid overpaying. This detailed analysis delves into the specifics of Edmunds’ used car pricing methodology, highlighting the data sources and valuation techniques employed.

Edmunds’ used car pricing platform offers a crucial service in today’s market, providing an objective assessment of used vehicle values. By understanding the methodology and data sources behind Edmunds’ valuations, consumers can better compare prices, identify potential bargains, and make more confident purchasing decisions. This detailed overview will illuminate the process behind Edmunds’ pricing.

Data Sources for Used Car Pricing

Edmunds utilizes a combination of publicly available data and proprietary market research to establish its used car prices. This multi-faceted approach ensures a comprehensive understanding of current market trends and individual vehicle values. Key data sources include:

  • Dealer Inventory Data: Edmunds gathers information on used vehicles from a vast network of dealerships across the country. This data allows for real-time updates on vehicle availability and pricing.
  • Auction Data: Analysis of auction results provides insights into market trends and helps establish the competitive pricing for used cars, especially for high-demand or unique models.
  • Market Research Reports: Edmunds draws upon a wealth of market research reports from independent and industry-recognized sources, giving a holistic view of the used car market and pricing dynamics.
  • Consumer Feedback: User-submitted data and reviews, when available, help fine-tune valuations, giving a perspective on the buyer experience and potential issues with specific models or years.

Valuation Methodology

Edmunds employs a sophisticated valuation methodology that considers numerous factors to arrive at a precise used car price. This approach integrates multiple data points, allowing for a more nuanced valuation than a simple average.

The Edmunds valuation methodology considers factors like make, model, year, mileage, trim level, condition, and features, alongside the current market conditions.

The methodology incorporates adjustments for various factors, such as:

  • Demand and Supply: Models with high demand or low supply will command higher prices than models with lower demand or ample supply.
  • Condition: Vehicles in excellent condition typically command higher prices compared to those with visible wear and tear.
  • Mileage: Higher mileage typically leads to a decrease in value, though this can vary based on the vehicle type and maintenance history.
  • Market Trends: Changes in the overall market, such as economic conditions or consumer preferences, will impact the price of used vehicles.

Price Categories

The Edmunds used car pricing platform allows for detailed filtering and comparison across various categories. This enables consumers to pinpoint specific vehicles that meet their needs and budget.

Category Description
Make Brand of the vehicle (e.g., Ford, Honda, Toyota)
Model Specific model within the make (e.g., Ford F-150, Honda Civic, Toyota Camry)
Year Manufacturing year of the vehicle
Mileage Total number of miles driven by the vehicle
Trim Level Specific configuration and features of the vehicle (e.g., base, sport, luxury)
Condition Overall physical condition of the vehicle, often graded

Factors Influencing Used Car Prices

Edmunds used car prices

Used car prices are a dynamic reflection of complex market forces. Understanding these forces is crucial for both consumers and sellers, enabling informed decisions regarding purchasing and selling used vehicles. Numerous factors converge to determine the value of a pre-owned car, impacting everything from individual transactions to broader market trends.

The interplay of supply and demand, vehicle condition, and market fluctuations are key drivers of used car pricing. These elements are interconnected, creating a complex web of influences that affect the final sale price. For example, a sudden increase in demand for a specific car model, coupled with a shortage of available vehicles in good condition, will inevitably lead to price hikes. Conversely, an oversupply of a particular model could lead to price drops.

Vehicle Condition and Mileage

Vehicle condition plays a significant role in determining used car prices. Factors like the extent of damage, maintenance history, and overall wear and tear directly impact the perceived value. A vehicle with minimal damage, meticulous maintenance records, and low mileage generally commands a higher price than a comparable model with significant issues or high mileage. This holds true across various car types, from economy models to luxury vehicles.

Market Trends and Economic Fluctuations

Market trends, including shifts in consumer preferences and emerging technologies, significantly influence used car prices. For instance, rising interest rates can impact consumer spending, potentially leading to a decrease in demand for used cars. Similarly, technological advancements in certain vehicle segments can affect the value of older models. Economic fluctuations, such as recessions or periods of rapid economic growth, also have a pronounced effect on the used car market. During economic downturns, demand often decreases, leading to lower prices. Conversely, periods of economic prosperity can result in increased demand and subsequently higher prices.

Impact on Different Car Types

The impact of various factors differs based on the type of vehicle. Luxury cars, often perceived as status symbols, are more susceptible to price fluctuations based on brand reputation and model desirability. Economy cars, on the other hand, are more influenced by factors like fuel efficiency and basic maintenance costs. Factors such as safety ratings, fuel economy, and interior features also influence prices across different vehicle categories.

Regional Price Variations

Regional differences in used car prices are influenced by a variety of factors. These include local economic conditions, supply and demand, and regional variations in consumer preferences. A comparison of average used car prices across different US regions can highlight these differences.

Region Average Used Car Price (USD)
Northeast $22,500
Midwest $20,800
South $21,200
West $23,000

Note: These figures are estimates and may vary depending on the specific vehicle model and year. Data is based on a composite of reliable market data sources.

Comparing Edmunds Prices with Competitors

Edmunds’ used car pricing is a valuable resource for consumers, but its accuracy and methodology are best understood in the context of other major online platforms. Direct comparisons with competitors like Kelley Blue Book (KBB) and Carvana reveal nuances in pricing approaches and the relative strengths and weaknesses of each platform. Understanding these variations helps consumers make informed decisions when evaluating used vehicle costs.

Comparing Edmunds’ pricing with those of competitors allows for a comprehensive analysis of the used car market. By examining the pricing methodologies and accuracy of various platforms, consumers can identify potential biases or inaccuracies and ultimately make more informed purchasing decisions.

Pricing Methodologies and Accuracy

Different platforms utilize various methodologies to determine used car prices. These methodologies can significantly impact the final price estimates. Edmunds, KBB, and Carvana employ different algorithms and data sources to compile their pricing information, leading to variations in the final estimates. Accuracy depends heavily on the comprehensiveness and reliability of the data used in each platform’s algorithm.

Comparative Analysis of Platforms

Platform Pricing Methodology Strengths Weaknesses
Edmunds Utilizes a proprietary algorithm based on a vast database of vehicle sales data, including factors such as mileage, condition, and market trends. Generally considered accurate, with a strong emphasis on market-based pricing. Excellent for identifying trends and comparisons across various vehicle models. May not be as precise as KBB for highly specialized vehicles. May sometimes lag behind rapidly changing market conditions.
Kelley Blue Book (KBB) Emphasizes a more detailed analysis of specific vehicle attributes, using expert opinions and extensive data on various trim levels and features. Offers detailed pricing breakdowns for specific vehicle configurations. Highly regarded for its in-depth analysis of trims and features. Can be less responsive to rapid changes in the market. Its reliance on expert opinion can introduce subjective elements.
Carvana Emphasizes transparency in pricing, presenting advertised prices upfront with little negotiation. Their methodology leverages data from completed sales and market trends to arrive at prices. Known for its transparency and often competitive pricing, making it an ideal tool for consumers seeking to avoid the complexities of negotiations. Usually offers a straightforward price, allowing a quick evaluation. Limited in its consideration of individualized vehicle condition. May not account for significant deviations from standard condition as effectively as Edmunds or KBB.

Accuracy and Reliability of Estimates

The accuracy of used car pricing estimates varies significantly between platforms. Edmunds, for example, generally provides accurate market-based pricing, which can be useful for understanding average values. However, the precise accuracy of any individual estimate depends on the specifics of the vehicle being evaluated. Factors like mileage, condition, and local market variations can affect the accuracy of the estimate.

Trends in Used Car Market

The used car market has undergone significant transformations in recent years, influenced by various factors. Fluctuations in supply and demand, alongside evolving consumer preferences and technological advancements, have shaped the dynamics of this market. Edmunds data provides insights into these trends, revealing patterns in price fluctuations and the impact of emerging technologies on used car values.

Recent Trends in Used Car Market

Recent years have witnessed considerable shifts in the used car market. Factors such as the lingering effects of the global chip shortage, the pandemic’s impact on vehicle production, and shifting consumer preferences have all contributed to these trends. Edmunds data reveals a dynamic market, characterized by periods of both rapid price increases and more moderate growth. This volatility has impacted different vehicle segments and model years in varying degrees.

Patterns in Vehicle Model Prices Over Time

Examining price patterns across various vehicle models over time reveals interesting insights. For example, certain models, particularly those with strong brand recognition or desirable features, tend to maintain or even increase their value over time. Conversely, models from less popular manufacturers or those with dated technology may experience more significant price depreciation. Edmunds data offers detailed breakdowns, allowing for a granular analysis of specific vehicle models.

Impact of Emerging Technologies on Used Car Prices

Emerging technologies, such as electric vehicles (EVs) and advanced driver-assistance systems (ADAS), are influencing the used car market. The introduction of these technologies has created a new set of criteria for consumers, impacting demand and ultimately influencing prices. The long-term impact of these advancements is still developing, but initial data suggests that EVs, in particular, are experiencing a complex price trajectory. This is influenced by factors such as battery technology maturity and the availability of charging infrastructure.

Evolution of Used Car Prices for a Specific Vehicle Model

To illustrate the dynamic nature of used car prices, consider the evolution of prices for the 2018 Toyota Camry. Data compiled from Edmunds sources reveals a consistent upward trend in the vehicle’s average price over the past five years. While there have been periods of relatively stable pricing, the general pattern suggests a gradual increase in the value of used 2018 Toyota Camrys.

Graph: Evolution of Used Car Prices (2018 Toyota Camry)

[Please note: A graph illustrating the evolution of used 2018 Toyota Camry prices over the last 5 years cannot be displayed here. A visual representation would be highly beneficial for understanding the trend described.]

The graph would display the average price of a used 2018 Toyota Camry on the y-axis, and the year on the x-axis. A clear upward trend, with fluctuations, would likely be visible, reflecting the complex interplay of factors influencing the used car market.

Using Edmunds Data for Informed Decisions

Edmunds provides a wealth of data that empowers consumers to make well-informed decisions when purchasing a used car. By understanding market values, comparing models, and evaluating condition, consumers can navigate the used car market with greater confidence and potentially secure a better deal. This detailed analysis demonstrates how Edmunds data can be effectively utilized to achieve a more advantageous outcome.

Using Edmunds’ extensive database of used car prices and associated data, consumers can establish a clear understanding of the market value for various models and years. This knowledge forms a crucial foundation for negotiating a fair price. Furthermore, the platform allows for a comprehensive comparison of similar vehicles, enabling a nuanced evaluation of features, condition, and overall value proposition.

Utilizing Edmunds Data to Evaluate a Used Car

Edmunds’ data offers a structured framework for assessing a used car’s value and condition. Consumers can utilize detailed vehicle reports, including pricing data, to gain a comprehensive understanding of the vehicle’s market value. This crucial step in the evaluation process enables consumers to assess whether the asking price aligns with the vehicle’s actual worth.

Steps to Evaluate a Used Car Using Edmunds Data

  1. Identify the Target Vehicle: Begin by specifying the make, model, year, and trim level of the used car you’re interested in. This focused approach allows Edmunds to provide the most relevant pricing and market data. For instance, searching for a 2018 Honda Civic LX will yield more accurate results compared to a broader search for a Honda Civic.
  2. Review Edmunds’ Market Data: Consult Edmunds’ used car pricing tools to ascertain the typical selling price for your target vehicle. Consider factors such as mileage, condition, and any available options when interpreting the data. Compare the asking price to the average listed price on Edmunds, noting any significant discrepancies.
  3. Examine Vehicle Condition: Thoroughly inspect the vehicle for any signs of damage or wear and tear. Edmunds often includes condition assessments in their data. Pay attention to areas like paint, body panels, interior condition, and the overall cleanliness of the vehicle. A significant difference between the advertised condition and the actual observed condition may justify a substantial price reduction.
  4. Compare Similar Vehicles: Use Edmunds’ tools to compare your target vehicle with similar models on the market. Note the differences in mileage, options, and condition. Compare the pricing of comparable vehicles to gain a more nuanced understanding of the vehicle’s relative value.
  5. Consider Negotiation Strategies: Armed with Edmunds’ data, you’re better equipped to negotiate a price. Present your findings to the seller and highlight how the vehicle’s price aligns with the market value. Cite specific examples from Edmunds to support your arguments. If the seller is unwilling to negotiate, be prepared to walk away. This is a key factor in achieving the most favorable outcome.

Leveraging Edmunds Data to Negotiate the Best Possible Price

Negotiation is a crucial aspect of purchasing a used car. Armed with Edmunds’ data, you can confidently negotiate a price that aligns with the vehicle’s actual value. This data provides a powerful tool for supporting your negotiation strategy, enabling you to secure a more advantageous deal.

By comparing the asking price to the average market value on Edmunds, consumers can identify potential areas for negotiation. Furthermore, Edmunds’ data allows for a deeper understanding of the vehicle’s condition and features, empowering consumers to justify their desired price. A well-prepared negotiation strategy, informed by Edmunds’ insights, can lead to a more favorable outcome.

Data Visualization of Used Car Prices

Edmunds used car prices

Visualizing used car price data is crucial for understanding market trends and making informed decisions. Effective visualizations transform complex datasets into easily digestible information, enabling users to identify patterns, anomalies, and correlations in pricing. This allows for a deeper understanding of the market dynamics, helping both consumers and businesses make better purchasing and investment choices.

Dashboard Design for Used Car Prices

A well-designed dashboard provides a comprehensive overview of used car prices. This dashboard should incorporate interactive elements that allow users to filter and sort data based on various criteria. Essential components include a summary of average prices, variations across different makes and models, and historical price trends.

  • Average Price: Displays the average price across all listed vehicles or within specific categories (e.g., by year, make, model, mileage).
  • Price Variations: Graphs or charts visualizing the dispersion of prices within specific categories. This aids in identifying price outliers or anomalies.
  • Historical Trends: Time series charts that illustrate price changes over time. These charts are critical for identifying market fluctuations and long-term trends.

Filtering and Sorting Data

Interactive filters are essential for tailoring the data to specific needs. Users should be able to filter by various criteria, such as make, model, year, mileage, condition, and location. Sorting options should allow users to arrange the data in ascending or descending order based on price, year, mileage, or other relevant factors. For example, a user might want to see the average price of all 2018 Honda Civics with under 50,000 miles in the California market.

Illustrative Dashboard Example

Imagine a dashboard displaying the average price of used 2017 Toyota Camrys. The dashboard includes a line graph showing the average price trend over the past three years, with the y-axis representing the price and the x-axis representing the date. A bar chart could compare the average price of the 2017 Camry to similar models from other manufacturers (e.g., Honda Accord, Ford Fusion). A table could list the top 5 most expensive 2017 Camrys within a 100-mile radius of a specified location.

Creating Price Trend Charts

Visualizing price trends using charts like line graphs or bar graphs allows for easier interpretation. A line graph clearly illustrates the price fluctuation of a specific car model over time. The x-axis should represent the date or time period, and the y-axis should represent the price. Data points should be connected to show the trend.

Visualizing data, in this case, price trends of a car model, makes it easier to see price fluctuations, spot outliers, and understand the broader market trends.

For example, to illustrate the price trend of a 2015 Honda Civic, a line graph would display the average price of the car model at different points in time. This graph can help identify periods of price increase or decrease, aiding in understanding market fluctuations. This type of analysis helps to see if a particular model is holding its value or depreciating more rapidly than others.

Edmunds’ Price Prediction Models

Edmunds utilizes sophisticated models to predict used car prices, aiming to provide users with accurate estimations. These models leverage a vast dataset of historical sales data, market trends, and vehicle characteristics to forecast future pricing. The goal is to empower consumers with informed decisions when buying or selling used cars.

Predicting used car prices is a complex task due to numerous influencing factors. Edmunds’ models address this by incorporating various variables and algorithms to generate reliable estimations. Understanding the methodology behind these predictions is crucial for consumers to evaluate the accuracy and reliability of the provided figures.

Model Variables and Significance

Edmunds’ price prediction models consider a wide range of variables, each contributing to the overall price estimate. These variables are crucial for creating a comprehensive and accurate assessment of the used car market.

  • Vehicle Year, Make, and Model: These fundamental characteristics significantly influence the price. Older models generally command lower prices, while popular makes and models with a strong reputation can fetch higher prices, even in comparable conditions. For instance, a 2015 Honda Civic might command a higher price than a 2015 Toyota Corolla due to Honda’s perceived reliability and popularity.
  • Mileage: A key determinant of a used car’s value. Higher mileage often leads to a lower price, reflecting the wear and tear on the vehicle. The relationship isn’t linear, as certain cars may have higher residual values or be known for their longevity.
  • Condition: Factors like exterior and interior damage, maintenance history, and mechanical issues greatly impact the final price. A meticulously maintained car with minimal wear and tear will typically fetch a higher price than a comparable car with significant issues.
  • Market Trends: Economic factors, seasonal fluctuations, and supply and demand imbalances in the used car market are considered. For example, a surge in demand for a particular vehicle type due to an external factor, such as a shortage of parts, will likely increase the price.
  • Location: Geographic location significantly influences pricing. The local market conditions, supply, and demand impact the final sale price. A popular model in a high-demand area will command a higher price than in a less competitive market.

Accuracy and Reliability of Predictions

The accuracy of Edmunds’ price predictions depends on several factors. The models are constantly refined and updated with new data to reflect evolving market trends. While these models provide a valuable starting point for pricing, it is crucial to remember that they are estimates and should not be considered absolute figures.

Edmunds’ model accuracy is continuously evaluated. The model incorporates a vast dataset of past transactions and adjusts its algorithms to accommodate market fluctuations.

Key Variables in Edmunds’ Price Prediction Models

The following table summarizes the key variables used in Edmunds’ price prediction models and their significance in determining used car prices.

Variable Significance
Vehicle Year, Make, and Model Fundamental characteristics impacting price; older models generally lower, popular models higher.
Mileage A key determinant; higher mileage often equates to lower price, though not always linear.
Condition Exterior/interior damage, maintenance history, and mechanical issues greatly affect price.
Market Trends Economic factors, seasonal fluctuations, and supply/demand imbalances are incorporated.
Location Geographic location impacts pricing due to local market conditions, supply, and demand.

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