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LiftLab tackles iOS14 changes with privacy-compliant datasets and innovative algorithms, providing smart marketers with actionable insights for success.

Join us on a journey into the future of marketing analytics with LiftLab's groundbreaking approach to handling the changes brought by iOS14. We delve into the challenges posed by evolving privacy regulations and how LiftLab is at the forefront of innovation, offering brands and marketing agencies a solution that goes beyond traditional multi-touch attribution models.

Three years ago, on a weekly LiftLab status call, one of our senior executives voiced concerns about the impending changes to iOS14. However, with confidence, we assured them that LiftLab was prepared. Built from the ground up to work with privacy-compliant datasets, LiftLab stands as a beacon of reliability in an ever-changing landscape.

While we pioneered the multi-touch attribution model in our previous endeavors, we recognized the inherent flaws in the data being fed into these models. Like Swiss cheese with holes only growing larger, the data quality was deteriorating rapidly. LiftLab's approach focuses on working with datasets that anticipate these privacy changes, ensuring accuracy and reliability.

At LiftLab, we employ a combination of geo-based experiments and an Agile Mixed Model, making us the first to market with these two algorithms working simultaneously on privacy-compliant datasets. This innovative approach forms the foundation for providing smart marketers with an alternative to last-click attribution – incremental revenue.

Through real-world examples and expert insights, we showcase how LiftLab's approach empowers marketers to make informed decisions and optimize their marketing strategies for success. Join the ranks of forward-thinking brands and marketing agencies who trust LiftLab to navigate the complexities of modern marketing analytics and unlock new opportunities for growth and success.

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