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Share on XFirst-to-market partnership detects invalid traffic throughout the entire media buying cycle
Fraudulent clicks don’t convert. When it comes to money wasted on clicks generated by bots, it’s not just ad budgets that are squandered — the opportunity for revenue is lost too. In fact, it’s estimated that $205 billion in revenue opportunities will be lost to invalid traffic (IVT) this year alone.
Starting today, IAS is teaming up with Lunio in a first-to-market partnership to provide post-click measurement and protection across search, social, and display networks. This partnership builds on IAS’s existing ad fraud detection and mitigation capabilities, giving marketers the most comprehensive IVT protection in the industry.
“IAS is dedicated to safeguarding brands throughout the entire media buying cycle,” said Jim Egan, SVP, Business Development at IAS. “Our partnership with Lunio makes us the first media measurement and optimization platform to provide insight into click fraud, empowering marketers with the most actionable invalid traffic data.”
In partnership with Lunio, marketers will receive reliable, transparent post-click IVT analytics and traffic protection capabilities, with key benefits including:
- Transparency: Understand how IVT is affecting accounts and spot where junk visits are damaging campaign performance
- Empowerment: Proactively analyze and optimize paid media investments using insights from click data and traffic quality signals that aren’t available elsewhere
- Quality: Increase the quality of ad traffic by leveraging insights to prevent invalid and junk traffic from wasting resources and skewing data — for laser-focused targeting of real prospects
“This partnership marks a crucial step forward in providing marketers with the most effective invalid and junk traffic data possible” said Neil Andrew, CEO at Lunio. “We’re proud to partner with IAS in a joint commitment to giving marketers reliable analytics and protection that drive quality and — most importantly — business results.”
IAS’s existing ad fraud detection and mitigation products stop more bots without over-blocking real humans by relying on a unique, three-pillar approach powered by unmatched scale and machine learning to provide the most accurate detection and prevention.
To learn more, download the one sheet and reach out to an IAS representative.
