How Consumer Engagement is Changing the CPG Industry

How Consumer Engagement is Changing the CPG Industry
Event Info
February 23, 2023
11:00 AM - 11:30 AM CET

Improved Consumer Interaction through Personalized Marketing

Digitization and globalization are putting companies under massive pressure. Products become more similar, prices more competitive, and markets more transparent. Therefore, customer experience becomes crucial and the "new currency" in the marketplace. Increasing consumer loyalty and retention is becoming even more important in the consumer goods industry. At the same time, there are more and more digital touchpoints where companies interact with their consumers. It is of great importance to interact with consumers through their preferred communication channels and times.

The Engagement Platform Emarsys not only provides all of this, but by automating many of these steps, it enables your employees to save time and thus focus more on the relevance of their communication content. The digital customer experience will be optimized and the marketing return on investment will be increased. In addition, Emarsys offers a set of tools that can help your company increase consumer engagement and deepen the customer relationship.

Session Overview

In this webinar with 4brands Reply you can learn all about:


  • Personalization: Use AI to enrich customer data and segments. Turn insights into action, while delivering what customers want, when they want it.

  • Increase customer base: Generate Leads and turn them into prospects and opportunities.

  • Cross-Channel Execution: Deliver consistent, relevant messaging across email, web, mobile, ads, social media and more — engaging customers wherever they are.

  • Automation: Run simple, single-channel campaigns, or create sophisticated, cross-channel journeys at scale. Use fully customizable optimized journeys built within the platform.

  • Analytics: Use AI to predict campaign performance and measure customer outcomes. Optimise engagement across all channels without the need for a dedicated data team.


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