Google Cloud Platform

Get the most out of Google Cloud.

In tandem with our in-house data aggregation platform, Conversionomics, we’ve leveraged GCP for several applications, including data warehousing (BigQuery), object data storage to allow us to host images to develop creative dashboards (Cloud Storage), interacting with APIs/automating ETLs (Cloud Functions), and more.

Our Advanced Analytics and Technology teams offer proactive, hands-on support, and expert recommendations to help you maximize your GCP investment.

Conversionomics is our proprietary big data integration platform that gives us unmatched capabilities to derive data insights and adjust our media strategy daily to our clients’ benefit.

Conversionomics leverages BiqQuery Machine Learning and the latest data processing and aggregation technologies to connect multiple online and offline data sources, and provide timely, actionable reporting to key stakeholders.

 In addition to data warehousing/storage and automation, we leverage GCP to develop predictive and propensity models, and clustering for the region and CRM segmentation.

Google Analytics 360

We use Google’s BigQuery as a data warehouse for all of our clients, spanning across web, app, paid media, CRM, and offline sales data via SFTP.

First-Party Data

GCP lets us pass CRM and sales data into Google Analytics and enables us to uncover new, customer-level insights and usage for media activation for prospecting and retention.

Cloud Functions

In addition to storing first-party data, we’ve leverage Cloud Functions to fetch third-party data via API to layer on applicable datasets for data modeling and forecasting.

Google Cloud Vision AI

 Detect objects and text in creative and append it to our creative analysis to derive new, actionable insights.

conversionomics process

GCP is the backbone of our analytics, modeling, and media.


of marketers investing in machine learning have shifted over 10% of their time from manual activation to strategic insight generation


Of marketers use KPIs to develop a single, integrated view of the customer


Marketers with fully-integrated marketing stacks are 47% more likely to use customer level data to segment and reach individuals

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