Ad buyers press Netflix for IP data as geotargeting accuracy falters
Advertisers and ad-tech firms are pressuring Netflix to provide more granular IP address data to support better geotargeting and cross-platform measurement. While Netflix maintain its use of deterministic identity signals, some buyers have reportedly reallocated programmatic budget to other streaming platforms that share more comprehensive data.
Key Takeaways
- Abridged IP addresses provided by Netflix result in geotargeting accuracy rates falling below 50% at the city level.
- Netflix inventory is now available in external DSPs such as Google and The Trade Desk, but some buyers report an absence of IP-level info in bid streams.
- Recent hires Ted Vlachos and Lisa Kim, both formerly of Amazon Ads, join Maggie Zhang to bolster Netflix's North American ad measurement team.
- Netflix grew its advertiser base by 70% year-over-year to 4,000 brands, with 50% of non-live sales transacted programmatically.
Why It Matters
The friction over IP data highlights a conflict between Netflix’s privacy-centric deterministic model and the industry’s demand for cross-platform attribution. By withholding IP addresses, Netflix limits the ability of media buyers to manage reach and frequency across the fragmented streaming landscape, potentially caping its appeal to performance-driven, medium-sized advertisers. Competitors like Disney+ and Paramount+ are currently winning these budgets by offering more granular transparency. Success for Netflix’s ad business now depends on whether its proprietary first-party measurement and data clean room partnerships with Snowflake and LiveRamp can compensate for the lack of traditional device identifiers. Watch for Netflix’s next Q3 earnings report to see if programmatic growth rates decelerate in response to these data transparency concerns.
Additional Context
The tension over Netflix's data transparency follows a year of aggressive expansion for Its ad tier. Per Bloomberg in May 2024, Netflix reached 40 million monthly active users on its ad-supported plan, a significant jump from 5 million just a year prior. This scale has emboldened the streamer to pivot away from its initial partnership with Microsoft, instead building its own internal ad technology stack. This move, reported by The Wall Street Journal in May 2024, signaled Netflix's intent to control the entirety of the ad experience, from the buy-side tools to final attribution. By insourcing the tech stack, Netflix aims to capture higher margins and protect its proprietary user data, even as advertisers demand more outward-facing reporting standards. Competition for ad dollars has intensified as rivals refine their own measurement capabilities. According to Variety in June 2024, Disney has integrated its 'Bridge' ID system across its entire streaming footprint, allowing advertisers to link first-party data directly to Disney’s audience graph. Similarly, NBCUniversal transitioned its Peacock inventory to a predominantly programmatic model earlier this year, leveraging its 'One Platform' technology to provide the exact IP-level granularity that buyers are currently requesting from Netflix. These developments have set a high bar for transparency that Netflix must now meet if it wishes to attract local and performance-based spend. Furthermore, the industry’s shift toward data clean rooms is becoming the primary workaround for privacy-safe attribution. Per CNBC in April 2024, Amazon and Google have seen increased adoption of their respective clean room environments, which allow for secure data matching without sharing raw identifiers like IP addresses. Netflix’s heavy emphasis on clean rooms during its recent upfront presentations suggests it is betting on this technology to satisfy large Fortune 500 brands. However, as noted by Adweek in May 2024, smaller advertisers often lack the technical resources to utilize clean rooms effectively, which may explain why mid-market spend is reportedly shifting toward platforms providing traditional programmatic signals.
Read full article at adexchanger.com
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