Cybage partnered with a global advertising firm that helps brands grow through communications, public relations, technology, and commerce services. The company helps brands by combining media intelligence with automated marketing processes to deliver high-scale advertising. Together, we enabled an F&B brand to improve operational efficiency and scale its marketing efforts effectively.
Success Story
About the Client
Business Needs | Data Quality and Integration Gaps
The client faced challenges with data quality and consistency, as well as gaps in data coverage and limitations due to the unavailability of touchpoints in their media allocation optimizer tool.
The following were the other business requirements:
- Establish a robust framework to map response-curve touchpoints to the tool, ensuring seamless alignment across all marketing channels.
- Implement code that can be applied to response curves to standardize processing and minimize manual intervention.
- Transform response curves and upload and integrate transformed response curves to the tool for smooth data ingestion and usability.
Solutions | Enhancing Analytics through Data Management
The Cybage team performed in-depth data analysis to evaluate the data structure and granularity. Based in these insights, we executed the following indicatives: initiatives:
- We designed and implemented robust data-mapping strategies by aligning Marketing Mix Modeling Response Curve touchpoints with the media allocation optimizer tool touchpoints, ensuring consistency across systems.
- Our team executed comprehensive data transformation processes to standardize and format Response Curve (RC) data into an optimized, upload-ready format.
- We enabled seamless data onboarding by uploading the transformed and validated datasets into the media allocation optimizer tool, ensuring accuracy for advanced analytics.
Business Impact | Enhanced ROI through Strategic Marketing Insights
- Delivered clear visibility into ROI and saturation levels across all touchpoints, enabling more precise allocation of marketing investments for each brand
- Simplified analysis of response curves through intuitive chart-based visualization, improving decision-making efficiency
- Identified optimal saturation thresholds, helping prevent overspending and ensured maximum efficiency from every marketing dollar spent
- Established a scalable, repeatable data-driven framework, helping teams to make insight-led decisions for future campaigns
- Strengthened alignment between marketing spend and overall business growth, driving long-term value
Technology Stack
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