Real-time bidding (RTB) is a means by which advertising inventory is bought and sold on a per-impression basis, via programmatic instantaneous auction, similar to financial markets. With real-time bidding, 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 by granting the user access to a multitude of different 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.
Research suggests that RTB digital advertising spend will reach $23.5 billion in the United States in 2018 compared to a $6.3 billion spend in 2014.
Privacy and security
As this required collection and accumulation of very detailed behavioral data about the user for the purpose of the predictive function as well as fraud detection, which is then being traded between hundreds of entities, RTB is causing privacy concerns and attracting attention from privacy regulating bodies. According to UK's 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."
How it works
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.
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. 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.
Demand-side platforms (DSPs) give buyers direct RTB access to multiple sources of inventory. They typically streamline ad operations with applications that simplify workflow and reporting. DSPs are directed at advertisers. The technology that powers an ad exchange can also provide the foundation for a DSP, allowing for synergy between advertising campaigns.
The primary distinction between an ad network and a DSP is that DSPs have the technology to determine the value of an individual impression in real time (less than 100 milliseconds) based on what is known about a user's history.
Large publishers often manage multiple advertising networks and use supply-side platforms (SSPs) to manage advertising yield. Supply-side platforms utilize data generated from impression-level bidding to help tailor advertising campaigns. Applications to manage ad operations are also often bundled into SSPs. SSP technology is adapted from ad exchange technology.
Challenges with mobile implementation
An individual's browser history is more difficult to determine on mobile devices. This is due to technical limitations that continue to make the type of targeting and tracking available on the desktop essentially impossible on smartphones and tablets. The lack of a universal cookie alternative for mobile web browsing also limits the growth and feasibility of programmatic ad buying. Mobile real time bidding also lacks universal standards.
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