May 26, 2026
Moving past the trap of manual integration. Connecting data sources traditionally means manual loading and custom coding, which ensures your data is stale by the time it’s clean. Our new Automated Data Operations solution, now available on the Google Cloud Marketplace, changes the math by handling 80% of the heavy lifting.
Jerek Justus | SVP, Data Engineering
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The email arrives on a Tuesday morning: Leadership just approved the budget for an innovative customer segmentation model. The mandate is clear—it needs to be deployed ASAP.
As a marketing operations leader, you know the drill. You need to unify your existing data and technology ecosystem with this exciting new capability. Your internal team begins the sprint. But instead of a launch, you get a timeline. It’s going to take two quarters to manually map the information and configure the data pipelines. Your momentum dies, and the critical window to capitalize on the new capability slams shut.
The rapid rise of artificial intelligence and composable MarTech has now placed an enormous, time-sensitive burden on marketing teams. More than ever, marketing operations leaders require their agency partners to be nimble and adapt to the constantly evolving needs of our industry. When a new opportunity arises, marketing teams must sprint to adapt and unify what works today with new capabilities. Now, not six months from now.
At MERGE, living up to the standard of a true AIgency™ means making efficiency our top priority—we let technology automate the mundane so our people can focus on the extraordinary. Our new Automated Data Operations solution, now available on the Google Cloud Marketplace, is a manifestation of that belief.
Our experience tells us that most brands struggle with 30 or more disparate marketing data sources across planning, work management, marketing operations, ad tech, assets, sites, analytics, CRM, third party partners, and ecosystem governance. A recent Qualtrics study found that 56% of executives are already overwhelmed by this fragmentation. Traditionally, connecting these sources meant hundreds of hours spent on manual data loading and custom coding—a process that if outsourced, costs a fortune and almost always ensures your data is stale by the time it’s clean.
Our Google Cloud Marketplace app changes the math. It provides a composable architecture that handles 80% of the heavy lifting. By using standardized templates for data ingestion and consolidation, we help our clients maximize the value of their data to deliver highly relevant experiences at scale.
We know that for the average data engineer, the word automated can sometimes be a red flag for black box. That’s why our solution is built with a dual-plane architecture to ensure total transparency and security:
This setup allows for the centralization of data into a single customer profile and provides the end-to-end attribution tracking required for personalization.
We’ve already proven this model with one of our clients, a global pharmaceutical company. They faced the challenge of harmonizing over 40 disparate data sources to track the journey from a person’s first search to a prescription.
By implementing our solution, they moved away from fragmented spreadsheets and toward a unified system that proves the ROI of every marketing dollar. This shift allowed our team to stop focusing on manual, cumbersome tasks of data ingestion and cleaning, and instead, provide higher-value strategic insights on how best to support their goals.
We use automation to drive efficiencies that alleviate the day-to-day burden of managing your data because in the end, our purpose isn’t to bill as many hours as possible—it’s to deliver the greatest value we can. We aren’t interested in charging clients to recreate the wheel over and over again. We want to spend our time (and budget) on the high-level strategy that actually moves the needle.
If your current agency relationship feels like it isn’t keeping pace, it’s time to consider a new approach. Explore our Google Marketplace App or request a strategic consulting session with our team today.
