Meta Advantage+ & Incrementality: Findings From 640 Tests with Olivia Kory at Marketecture Live episode artwork

EPISODE · Dec 8, 2025 · 26 MIN

Meta Advantage+ & Incrementality: Findings From 640 Tests with Olivia Kory at Marketecture Live

from Marketecture: Get Smart. Fast. · host Ari Paparo

Olivia Kory, Chief Strategy Officer from Haus, walks through an 18-month review of 640 incrementality tests run by Haus to compare Meta’s Advantage+ campaigns with manual setups. She explains the shift from hands-on targeting to AI-led buying, why incrementality matters more than platform-reported conversions, and how Geolift holdouts estimate true lift without user-level data. The results show a strong overall impact from Meta, but mixed performance from Advantage+ versus manual, along with signs that mid-funnel optimization can change outcomes. She ends with practical cautions on interpreting automation results and the need to test by brand. Takeaways Incrementality testing helps separate real lift from conversions that would have happened anyway. Meta tends to deliver measurable lift quickly, though attribution settings change what you see. Advantage+ performs inconsistently against manual campaigns and can skew toward low funnel intent. Mid-funnel signal engineering may broaden reach and improve omnichannel effects, but needs validation. Chapters 00:00 Overview of the research question on AI buying and outcomes. 03:10 How Meta buying moved from manual controls to automated setups. 06:05 Why incrementality matters more than reported conversions. 09:00 Geolift holdout method and cross-channel measurement. 12:10 What the wider Meta test set shows about lift and timing. 16:05 Advantage+ versus manual results and efficiency gaps. 19:20 Possible reasons for the Advantage+ pattern and open questions. 21:10 Signal engineering and mid-funnel optimization approach. 24:20 Final cautions and how to apply testing to your own brand. Learn more about your ad choices. Visit megaphone.fm/adchoices

Olivia Kory, Chief Strategy Officer from Haus, walks through an 18-month review of 640 incrementality tests run by Haus to compare Meta’s Advantage+ campaigns with manual setups. She explains the shift from hands-on targeting to AI-led buying, why incrementality matters more than platform-reported conversions, and how Geolift holdouts estimate true lift without user-level data. The results show a strong overall impact from Meta, but mixed performance from Advantage+ versus manual, along with signs that mid-funnel optimization can change outcomes. She ends with practical cautions on interpreting automation results and the need to test by brand. Takeaways Incrementality testing helps separate real lift from conversions that would have happened anyway. Meta tends to deliver measurable lift quickly, though attribution settings change what you see. Advantage+ performs inconsistently against manual campaigns and can skew toward low funnel intent. Mid-funnel signal engineering may broaden reach and improve omnichannel effects, but needs validation. Chapters 00:00 Overview of the research question on AI buying and outcomes. 03:10 How Meta buying moved from manual controls to automated setups. 06:05 Why incrementality matters more than reported conversions. 09:00 Geolift holdout method and cross-channel measurement. 12:10 What the wider Meta test set shows about lift and timing. 16:05 Advantage+ versus manual results and efficiency gaps. 19:20 Possible reasons for the Advantage+ pattern and open questions. 21:10 Signal engineering and mid-funnel optimization approach. 24:20 Final cautions and how to apply testing to your own brand. Learn more about your ad choices. Visit megaphone.fm/adchoices

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Meta Advantage+ & Incrementality: Findings From 640 Tests with Olivia Kory at Marketecture Live

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This episode was published on December 8, 2025.

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Olivia Kory, Chief Strategy Officer from Haus, walks through an 18-month review of 640 incrementality tests run by Haus to compare Meta’s Advantage+ campaigns with manual setups. She explains the shift from hands-on targeting to AI-led buying, why...

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