Web Analytics and GTM Setup for a Food Brand’s US Launch

7hauben, a food content and recipe brand, prepared its expansion into the US market under the new label 7flavor. Valanor was engaged to design and implement a robust analytics and tracking setup to support launch-phase marketing and paid media execution.

Client

7hauben

Sector

FOOD

Market

US

Date

2025 - ongoing

Technology

Stape.io, GTM, & GA4

Objective

Establish a reliable analytics and tracking foundation to support paid media, performance measurement, and attribution for the US market launch.

Challenges

The new brand launched without an existing analytics stack. Client-side tracking alone was insufficient for accurate attribution due to browser restrictions and consent limitations. Without a proper setup, paid media performance and user behavior would be difficult to evaluate from day one.

Approach

Valanor designed the tracking architecture around the launch funnel and media strategy. The focus was on data accuracy, resilience, and future scalability — combining client-side tracking with a server-side setup to ensure consistent signal quality across channels.

Solution

Valanor delivered an end-to-end analytics and tracking implementation, including:

  • Google Tag Manager setup across all relevant properties
  • GA4 configuration with event tracking aligned to content and conversion goals
  • Server-side tracking via Stape.io to improve data reliability and attribution
  • Google Ads and Meta Ads integration with consistent event mapping
  • Custom events and triggers for campaign and landing page performance
  • Documentation and handover to enable internal iteration

Result

7flavor launched in the US with a dependable analytics foundation. Campaign performance could be monitored accurately from the start, enabling early optimization and informed budget decisions. Server-side tracking improved signal stability and reduced data loss across platforms.

Conclusion

By combining clean tracking design with a server-side architecture, Valanor ensured that analytics supported execution, not reporting after the fact. The result was immediate visibility into marketing performance during a critical launch phase.

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