TY - GEN
T1 - Untangling Header Bidding Lore
T2 - Some Myths, Some Truths, and Some Hope
AU - Aqeel, Waqar
AU - Bhattacherjee, Debopam
AU - Chandrasekaran, Balakrishnan
AU - Godfrey, P. Brighten
AU - Laughlin, Gregory
AU - Maggs, Bruce
AU - Singla, Ankit
PY - 2020
Y1 - 2020
N2 - Header bidding (HB) is a relatively new online advertising technology that allows a content publisher to conduct a client-side (i.e., from within the end-user's browser), real-time auction for selling ad slots on a web page. We developed a new browser extension for Chrome and Firefox to observe this in-browser auction process from the user's perspective. We use real end-user measurements from 393,400 HB auctions to (a) quantify the ad revenue from HB auctions, (b) estimate latency overheads when integrating with ad exchanges and discuss their implications for ad revenue, and (c) break down the time spent in soliciting bids from ad exchanges into various factors and highlight areas for improvement. For the users in our study, we find that HB increases ad revenue for web sites by 28backslash% compared to that in real-time bidding as reported in a prior work. We also find that the latency overheads in HB can be easily reduced or eliminated and outline a few solutions, and pitch the HB platform as an opportunity for privacy-preserving advertising.
AB - Header bidding (HB) is a relatively new online advertising technology that allows a content publisher to conduct a client-side (i.e., from within the end-user's browser), real-time auction for selling ad slots on a web page. We developed a new browser extension for Chrome and Firefox to observe this in-browser auction process from the user's perspective. We use real end-user measurements from 393,400 HB auctions to (a) quantify the ad revenue from HB auctions, (b) estimate latency overheads when integrating with ad exchanges and discuss their implications for ad revenue, and (c) break down the time spent in soliciting bids from ad exchanges into various factors and highlight areas for improvement. For the users in our study, we find that HB increases ad revenue for web sites by 28backslash% compared to that in real-time bidding as reported in a prior work. We also find that the latency overheads in HB can be easily reduced or eliminated and outline a few solutions, and pitch the HB platform as an opportunity for privacy-preserving advertising.
UR - https://www.scopus.com/pages/publications/85082988795
UR - https://www.scopus.com/pages/publications/85082988795#tab=citedBy
U2 - 10.1007/978-3-030-44081-7_17
DO - 10.1007/978-3-030-44081-7_17
M3 - Conference contribution
SN - 9783030440800
T3 - Lecture Notes in Computer Science book series (LNCS) - Computer Communication Networks and Telecommunications book sub series
SP - 280
EP - 297
BT - Passive and Active Measurement
A2 - Sperotto, Anna
A2 - Dainotti, Alberto
A2 - Stiller, Burkhard
PB - Springer International Publishing AG
CY - Cham
ER -