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Real-time bidding
Real-time bidding (RTB) is a means by which advertising inventory is bought and sold on a per-impression basis, via instantaneous programmatic auction, similar to financial markets. With real-time bidding, online advertising buyers bid on an impression and, if the bid is won, the buyer's ad is instantly displayed on the publisher's site. Real-time bidding lets advertisers manage and optimize ads from multiple ad networks, allowing them to create and launch advertising campaigns, prioritize networks, and allocate percentages of unsold inventory, known as backfill.
Real-time bidding is distinguishable from static auctions by how it is a per-impression way of bidding, whereas static auctions are groups of up to several thousand impressions. RTB is promoted as being more effective than static auctions for both advertisers and publishers in terms of advertising inventory sold, though the results vary by execution and local conditions. RTB replaced the traditional model.
RTB digital advertising spend in the United States reached approximately $57 billion in 2023, up from $23.5 billion in 2018.
RTB requires collection, accumulation and dissemination of data about users and their activities for both operating the bidding process, profiling users to "enrich" bid requests, and operate ancillary functions such as fraud detection. As a consequence, RTB has led to a range of privacy concerns, and has attracted attention from data protection authorities (DPAs). According to UK's DPA, the ICO, report, companies involved in RTB "were collecting and trading information such as race, sexuality, health status or political affiliation" without consent from affected users. Simon McDougall of ICO reported, in June 2019, that "sharing people’s data with potentially hundreds of companies, without properly assessing and addressing the risk of these counterparties, raises questions around the security and retention of this data."
In 2019, 12 NGOs complained about RTB to a range of regulators in the Union, leading to a decision in February 2022 where the Belgian Data Protection Authority found a range of illegality in aspects of a system used to authorise much of RTB in the EU under the GDPR, the Transparency and Consent Framework produced by the Interactive Advertising Bureau Europe. The Dutch DPA has since indicated that websites and other actors in the Netherlands should cease using RTB to profile users. The Belgian DPA's decision has been described as "an atomic bomb", with some academic commentators arguing that the RTB would require fundamental restructuring in order for a system such as the TCF to be able to authorise it under the decision.
Since RTB works through machine-to-machine communication, it has been gamed by malicious actors aiming to extract money from the programmatic commerce of online advertising by monetizing fake news websites and other forms of made-for-advertising websites that extract rents via ad fraud.
A typical transaction begins with a user visiting a website. This triggers a bid request that can include various pieces of data such as the user's demographic information, browsing history, location, and the page being loaded. The request goes from the publisher to an ad exchange, which submits it and the accompanying data to multiple advertisers who automatically submit bids in real time to place their ads. Advertisers bid on each ad impression as it is served. The impression goes to the highest bidder and their ad is served on the page.[citation needed]
The bidding happens autonomously and advertisers set maximum bids and budgets for an advertising campaign. The criteria for bidding on particular types of consumers can be very complex, taking into account everything from very detailed behavioural profiles to conversion data.[citation needed] Probabilistic models can be used to determine the probability for a click or a conversion given the user history data (aka user journey). This probability can be used to determine the size of the bid for the respective advertising slot.
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Real-time bidding AI simulator
(@Real-time bidding_simulator)
Real-time bidding
Real-time bidding (RTB) is a means by which advertising inventory is bought and sold on a per-impression basis, via instantaneous programmatic auction, similar to financial markets. With real-time bidding, online advertising buyers bid on an impression and, if the bid is won, the buyer's ad is instantly displayed on the publisher's site. Real-time bidding lets advertisers manage and optimize ads from multiple ad networks, allowing them to create and launch advertising campaigns, prioritize networks, and allocate percentages of unsold inventory, known as backfill.
Real-time bidding is distinguishable from static auctions by how it is a per-impression way of bidding, whereas static auctions are groups of up to several thousand impressions. RTB is promoted as being more effective than static auctions for both advertisers and publishers in terms of advertising inventory sold, though the results vary by execution and local conditions. RTB replaced the traditional model.
RTB digital advertising spend in the United States reached approximately $57 billion in 2023, up from $23.5 billion in 2018.
RTB requires collection, accumulation and dissemination of data about users and their activities for both operating the bidding process, profiling users to "enrich" bid requests, and operate ancillary functions such as fraud detection. As a consequence, RTB has led to a range of privacy concerns, and has attracted attention from data protection authorities (DPAs). According to UK's DPA, the ICO, report, companies involved in RTB "were collecting and trading information such as race, sexuality, health status or political affiliation" without consent from affected users. Simon McDougall of ICO reported, in June 2019, that "sharing people’s data with potentially hundreds of companies, without properly assessing and addressing the risk of these counterparties, raises questions around the security and retention of this data."
In 2019, 12 NGOs complained about RTB to a range of regulators in the Union, leading to a decision in February 2022 where the Belgian Data Protection Authority found a range of illegality in aspects of a system used to authorise much of RTB in the EU under the GDPR, the Transparency and Consent Framework produced by the Interactive Advertising Bureau Europe. The Dutch DPA has since indicated that websites and other actors in the Netherlands should cease using RTB to profile users. The Belgian DPA's decision has been described as "an atomic bomb", with some academic commentators arguing that the RTB would require fundamental restructuring in order for a system such as the TCF to be able to authorise it under the decision.
Since RTB works through machine-to-machine communication, it has been gamed by malicious actors aiming to extract money from the programmatic commerce of online advertising by monetizing fake news websites and other forms of made-for-advertising websites that extract rents via ad fraud.
A typical transaction begins with a user visiting a website. This triggers a bid request that can include various pieces of data such as the user's demographic information, browsing history, location, and the page being loaded. The request goes from the publisher to an ad exchange, which submits it and the accompanying data to multiple advertisers who automatically submit bids in real time to place their ads. Advertisers bid on each ad impression as it is served. The impression goes to the highest bidder and their ad is served on the page.[citation needed]
The bidding happens autonomously and advertisers set maximum bids and budgets for an advertising campaign. The criteria for bidding on particular types of consumers can be very complex, taking into account everything from very detailed behavioural profiles to conversion data.[citation needed] Probabilistic models can be used to determine the probability for a click or a conversion given the user history data (aka user journey). This probability can be used to determine the size of the bid for the respective advertising slot.
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