Allegro unlocks new revenue and efficiency with GrowthLoop

Allegro, Poland’s largest e-commerce marketplace, chose GrowthLoop to enhance efficiency and monetize its data through personalized, scalable campaigns. By integrating with BigQuery, Allegro aims to streamline operations, improve ad targeting, and expand revenue from its retail media network.

Allegro, Poland’s largest e-commerce marketplace and a leader in the European market, operates with both B2C and B2B models. As the company expanded, Allegro sought to modernize its marketing technology stack to increase efficiency, boost paid media performance, and unlock new revenue streams through its Retail Media Network (RMN).

Allegro faced challenges in democratizing data access and activating their extensive first-party data to deliver personalized campaigns across multiple channels.

SITUATION

Expanding with a focus on efficiency and monetization

Allegro’s primary goals included: 

  • Leveraging data for more efficient paid media campaigns. 
  • Monetizing their first-party data through RMNs by selling highly targeted ad placements to brand partners. 

Additionally, Allegro aimed to future-proof its operations by integrating machine learning and AI to unlock advanced personalization capabilities.

CHALLENGE

Struggling with manual processes and underused data

Allegro’s marketing teams relied on manual processes and SQL queries to build campaigns, slowing execution and limiting scalability. Despite having extensive datasets connected to BigQuery, they faced challenges activating their first-party data for optimized paid media campaigns. Additionally, monetizing this data through their retail media network (RMN) was a top priority, but Allegro needed more advanced tools to enhance targeting for brand partners and increase ad sales efficiency.

SOLUTION

Unlocking first-party data for paid media and RMN growth

Allegro integrates GrowthLoop with their existing BigQuery data warehouse to democratize data access across their marketing teams. This integration is expected to reduce the reliance on manual SQL pulls, speed up campaign execution, improve paid media performance, and enable Allegro to scale its RMN more effectively.

Using GrowthLoop’s composable architecture, Allegro is streamlining data activation across teams and channels, automating processes that previously required heavy involvement from internal data science and engineering resources. Additionally, GrowthLoop’s AI-driven personalization tools are projected to enhance Allegro’s ability to create targeted campaigns that drive audience engagement and boost revenue.

RESULTS

Predicted results: efficiency, targeting, and new revenue streams

Improve efficiency

Allegro anticipates a significant reduction in the time needed to activate data for campaigns, allowing marketing teams to execute campaigns faster and more precisely.

Optimize paid media performance

With GrowthLoop’s automated tools, Allegro is expected to improve targeting and ROI for paid media campaigns, unlocking the full potential of their first-party data.

Monetize first-party data

By scaling their RMN with GrowthLoop’s platform, Allegro expects to create new revenue streams through more efficient ad sales and enhanced targeting for their brand partners.

Martech stack
Data Warehouse
BigQuery
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