How Stylepit Increased ROAS without the Cookie
Whether it’s GDPR, iOS 14, or the death of the third-party cookie, advertisers today face competing pressures to achieve highly-personalized retargeting while maximizing ad efficiency. Especially with Google’s latest anti-tracking announcement, it’s more important than ever for companies to harness their first-party customer data as their brand’s greatest asset.
Join Martin Brummerstedt, Data Scientist and Digital Project Manager from Stylepit to share how the digital retailer nearly doubled ROAS YoY with a first-party data strategy and Facebook Ads.
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On-Demand
55 minutes
Webinar: How to automagically identify high-intent leads
Featured Speakers
Identify intent
Identify intent signals and act on them using Segment and Madkudu
Tools
Get access to the tools Guillaume uses for predictive lead scoring
Experimentation
Snag a sneak peek inside Drift’s 2019 growth experiments
Demo
See a live demo that ties everything together
Key takeaways
You know your core business depends
You know your core business depends
You know your core business depends
Recent consumer privacy trends and their impact on digital advertising
How Stylepit designed RFM models to unlock customer intent and LTV signals in Segment Personas
How Stylepit activated Lookalike Audiences in Facebook Ads to nearly double ROAS with first-party customer data
We'll cover:
Recent consumer privacy trends and their impact on digital advertising
How Stylepit designed RFM models to unlock customer intent and LTV signals in Segment Personas
How Stylepit activated Lookalike Audiences in Facebook Ads to nearly double ROAS with first-party customer data
We'll cover:
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Eliot Arntz
Sales Engineer
Eliot Arntz
Sales Engineer
Martin Brummerstedt
Data Scientist, Digital
Project Manager
Eliot Arntz
Sales Engineer
WEBINAR
Sherry Huang
Product Marketing Manager