Overview

The death of third-party cookies is a major shift in the digital publishing landscape that is having a significant impact on the publishing industry. Third-party cookies are small pieces of data that are stored on a user's browser by websites other than the one they are currently visiting. They are used to track users' browsing activity across different websites and build profiles of their interests. This information is then used to target them with personalized ads.

However, third-party cookies have also been criticized for privacy concerns, as they can be used to track users' browsing activity without their consent. In recent years, there has been a growing sensitivity around privacy exacerbated by rise in privacy regulations, further has led to movement to block third-party cookies in web browsers. This has led to a decline in the effectiveness of third-party cookie-based advertising and forced publishers to find new ways to monetize their content.

One of the most promising ways for publishers to adapt to the death of third-party cookies is to focus on first-party data solutions. By focusing on first-party data solutions, publishers can create more personalized and relevant experiences for their audiences and readers and generate new revenue streams.

To rise to challenges that come with using first party data, namely – collecting, managing and harnessing the power of data with AI and analytics, Infosys Publishing AI Cloud provides a reliable and robust solution to empower and enable publishers Sense, Respond and Activate intelligence across physical and digital channels leveraging first party data.

Infosys Publishing AI Cloud

The Infosys Publishing AI Cloud solution provides a digital blueprint for harnessing the power of first party data

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Infosys Publishing AI Cloud
First Party Data Strategy

First Party Data Strategy

Leverage Infosys 1P data maturity assessment framework to create robust 1P data strategy.

Insights and Foresights

Insights and Foresights

Brings intelligence and strong insights through knowledge graphs around customer identity, products, needs, risk and preferences.

Customer First Approach

Customer First Approach

Customer 360 and content recommendation based on personalization.

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Challenges & Solutions

  • Ingests and harmonizes 1P data attributes.
  • Improve agility in onboarding 1P data sources.
  • Performs identity stitching to join multiple data sources using identity resolution services.

Generate accurate customer insights and drive content recommendation to improve customer engagement using AI.

  • Utilize AI assisted decision cockpit to help growth advisors and data analysts drive campaigns.
  • Increase personalization and content relevancy through a recommendation engine.
  • Drive better targeted marketing campaigns without dependence on 3rd party cookies.