Shopping

LightInTheBox migrated to Adjust for raw data, fraud prevention, and excellent support

Background

Region

APAC

Founded

2007

Vertical

Shopping

The challenge

LightInTheBox’s needs were not being met by their previous mobile measurement partner (MMP). One of the primary issues was the need for more accurate and unbiased attribution data to better understand and optimize marketing efforts. They struggled with the high costs and limitations associated with returning unlimited raw data. Ensuring the stability and reliability of data was also a significant concern.

Juan Wu

R&D Director, LightInTheBox

Another major challenge was dealing with mobile ad fraud, which affected budget efficiency and skewed performance metrics. The ability to filter out click hijacking (click injection) and large click volumes (click spamming) was crucial for maintaining the integrity of their marketing data. LightInTheBox needed an MMP with advanced front-end fraud prevention capabilities to identify fake traffic in real-time.

The solution

LightInTheBox selected Adjust as its new MMP because, firstly, migration with Adjust is quick, straightforward, and comes with excellent support. LightInTheBox experienced comprehensive customer support throughout the transition and implementation phases, ensuring that the team was well-equipped to utilize new tools and features.

Juan Wu

R&D Director, LightInTheBox

Adjust’s support team's attention to detail throughout migration allowed LightInTheBox to transition seamlessly without significant disruptions to its ongoing marketing activities. The team was guided through parameter matching to ensure proper data attribution and provided with advice on how to avoid data duplication. The ease of migration was crucial in minimizing downtime and ensuring a smooth shift to a more efficient MMP.

Juan Wu

R&D Director, LightInTheBox

Post-migration, Adjust provided next-generation tools that significantly upgraded LightInTheBox's marketing capabilities. With proactive fraud prevention, advanced features for raw data return like frequent automatic retransmissions for data reliability, and temporary attribution for short-term campaigns, LightInTheBox could streamline its data analysis and improve the accuracy of its marketing insights.

The team leveraged dynamic time zone and hourly aggregated data reports and icons, uninstall and reinstall data, permanent background data saving, and multi-app support. These tools enabled them to enhance their data-driven decision-making processes.

The results

With the help of Adjust, the team was able to achieve more with fewer resources. LightInTheBox was able to:

  • Migrate with minimal impact on daily operations
  • Proactively prevent mobile ad fraud
  • Leverage real-time raw data to optimize campaigns

Now, the team at LightInTheBox plans to leverage its new analytics efficiencies to further develop mobile e-commerce by improving the user experience on mobile and continuously optimizing the product.

Juan Wu

R&D Director, LightInTheBox