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Established a Strong Data Pipeline to Optimize Data Flow for a Leading Global Performance Marketing Agency

Media & Advertising
Posted On: 9 June, 2025

About the Client

The client is a technology-driven performance marketing and media agency.

With a team of 6000+ marketing professionals, the agency is spread across 60+ countries.

The client specializes in providing end-to-end performance marketing solutions, including media activation, optimization, and advanced analytics.

Possessing a deep understanding of consumer behavior, the client is adept at end-to-end planning and optimization for social platforms, driving actionable growth in e-commerce, and creating curated marketplaces as per the customer's need.

Business Needs | Build Robust and Reliable Data Pipelines

The client wanted to achieve better outcomes from its paid campaigns by maintaining high data accuracy and completeness across the platforms.

This would also help the client improve performance tracking and optimize campaigns.

Furthermore, the client looked forward to automating its data ingestion process to cut the operational overhead and enable real-time updates effectively.

To handle new DSPs and increase the volume of data processed, the client wanted to scale its data handling process. 

The client wanted to equip its customers with transparent, data-driven, actionable insights—free from any discrepancies—to enable more effective decision-making.

Solutions | Provided Clean, Validated, and Dependable Data

We started by conducting a thorough data audit of the inconsistencies and redundancies to close in on the gaps across the client’s data ecosystem. We followed this through a data actualization process to clean, validate, and standardize the client’s data assets.

We addressed the data gaps by backfilling missing records after verifying their accuracy through automated and manual checks from reliable sources. This increased the data reliability.

We facilitated the onboarding of new DSPs and account seats into the existing ecosystem by establishing report configurations and performing data ingestion, backfilling legacy data, and validating it.

We elevated the standards of in-depth reporting by streamlining the process of weekly, monthly, and historical data pulls from various DSPs.

To automate data ingestion and make it scalable, we integrated Adverity with Snowflake.

Business Impact | Enhanced Data Flow Efficiency

As a result of our strategic efforts, we achieved exceptional media campaign performance and optimization for the client, resulting in the following:

  • Attained flexibility to customize the media campaign data as required
  • Significantly improved data accuracy and data integrity
  • Streamlined data pipeline because of automated data ingestion and processing
  • Simplified proactive data management and informed decision-making powered by real-time insights
  • Achieved a scalable architecture that can process large volumes of data and integrate new DSPs smoothly

     

Technology Stack

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