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Home>Juniper Research: Ad Fraud to Cost Advertisers $19 billion in 2018, Representing 9% of Total Digital Advertising Spend

Juniper Research: Ad Fraud to Cost Advertisers $19 billion in 2018, Representing 9% of Total Digital Advertising Spend

Juniper Research: Ad Fraud to Cost Advertisers $19 billion in 2018, Representing 9% of Total Digital Advertising Spend

09/26/2017

Juniper Research: Ad Fraud to Cost Advertisers $19 billion in 2018, Representing 9% of Total Digital Advertising Spend

A new report from Juniper Research has found that advertisers will lose an estimated $19 billion to fraudulent activities next year, equivalent to $51 million per day. This figure, representing advertising on online and mobile devices, will continue to rise, reaching $44 billion by 2022.

For more insights, download our free whitepaper: Ad Fraud: How AI will Rescue Your Budget.

Ad Platforms Need to Break Out of Walled Gardens

Juniper’s new research, Future Digital Advertising – AI, Ad Fraud & Ad Blocking 2017-2022, claimed that the ‘Walled Garden’, a closed platform approach whereby advertising platforms restrict the flow of advertising performance data to advertisers and publishers must be abandoned to stimulate transparency between stakeholders. The report found that advertising fraud rates will continue to increase as a result of this, further hindering stakeholder efforts in tackling fraud.

Additionally, the research predicted that AI will be crucial in analysing the vast amounts of data generated from advertising activities daily and minimising loss due to fraud. It predicted that fraudsters will increasingly innovate in their approaches to imitate genuine advertising activity including simulated clicks, mouse movements and social network accounts.

“Fraudsters will continue to heavily invest in domains, user accounts and bot farms in order to appear genuine” argued research author Sam Barker. “Advertising stakeholders will demand constant vigilance against the threat of ad fraud, which will only be achieved through the correct implementation of AI services”.

AI & The Race for Data

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