We like our data where we can find it – all in one place. Consolidate your data to make more informed business decisions.

Intelligent Insights
We consolidate your marketing and advertising data from multiple SaaS platforms in BigQuery to get comprehensive and intelligent insights.
Get the inside scoop. We can help you get real-time insights into marketing and business performance so stakeholders can make more informed and efficient decisions.
Marketing Innovation
Like the Terminator, you’ll be back for more insights. We build Machine Learning (ML) Models for many business needs, including customer segmentation, lifetime value, product recommendations and purchase predictions.
We can show you how to use these Machine Learning Models across multiple platforms, like email marketing and advertising targeting.
Customer Experience
Everyone deserves an upgraded experience. We help you get more visibility of your customer’s needs with Google Marketing Data Warehouse. This helps improve user experience with timely and accurate personalisation.
We can personalise customer interaction points with the insights we gain, including first-party applications, websites, online advertising and email marketing.
Save Time
We help you automate more tasks to free up time and headspace for your team, so they can focus on the things that really matter. Like the Annual Office Ping Pong Tournament.
A script for success. We create automation scripts so you can compile intelligent reports in minutes. We give you quick access to all your data so you can make informed marketing decisions in an instant.
First-party Data
We keep an ear out, and listen closely. We help you consolidate your first-party data and make the best use of it as the use of third-party cookies is becoming increasingly restricted.
Ain’t no party like a private party. We collect first-party data in a privacy-safe manner as it is becoming increasingly important for marketers and customers. We help you build your own data warehouse to continue to engage customers while respecting user privacy.
Process
Consolidate your data, make automations and gather insights to give a better customer experience.
Step 1
Data Ingestion
Consolidate your data in Google Marketing Data Warehouse.
Step 2
Data Processing
Clean and reformat your big data sets.
Step 3
Machine Learning
Pick an AI platform product to suit your needs, including AutoML, BigQuery ML or Vertex AI.
Step 4
Automate
Automate your data with custom scripts.
Step 5
Insights
Gather your data in your preferred channel, including Google Analytics, Salesforce and Looker
Google Marketing Data Warehouse allows you to consolidate your data in one place and clean and reformat big data sets. You can use machine learning to gather insights on how frequency affects conversion per user per campaign, predict lifetime value for specific users and predict product sentiment. You can also get insights in your preferred channels and compile reports for more intelligent and accurate marketing decisions.
Nail insights and take action when all your data is in one place. We’ll show you how.
Case Studies
Increased conversion rate 148% with sitecore migration
Globus family of brands manage four brands in 13 countries with a unique domain for each brand in each country. They had a total of 52 websites that was undergoing a migration to Sitecore.
What we did
In Marketing We Trust maintained the pre-migration footprint and rankings, transfer all the authority from legacy websites to the new websites, facilitate smooth indexing of the new websites and maintained KPIs and metrics measurements.
The impact
Since migrating to Sitecore, Globus now has a significantly enhanced platform in place and has achieved a more human-centric digital presence, which has made a big difference to their brand placement and revenue.
Increase in conversion rate for Globus
Increase in booking enquiries
Rachelle Delgado
Digital Marketing Coordinator
We don’t feel like a client, we feel that we work together as they are passionate about what they do in order for us to achieve our business goals. In Marketing We Trust staff is highly skilled and are experts in their field. I especially appreciate that In Marketing We Trust are so proactive in ensuring that we are kept up to date with reporting and have been a major help with migration. One of the best agencies we’ve worked with.
Specialist Team
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FAQ’s
What is Google Marketing Data Warehouse?
A Google Marketing Data Warehouse is a comprehensive data storage system that provides marketers with the necessary tools to make informed decisions quickly and efficiently. It simplifies and streamlines the process of executing marketing use cases such as channel performance, propensity to convert modelling, audience segmentation, audience activation on Google platforms, consumer lifetime value, eCommerce product recommendations, attribution modelling, creative analysis, enhanced consumer understanding, sentiment analysis, engaged consumer understanding, and other custom use cases.
How to build a marketing Data Warehouse?
Setting up a marketing data warehouse requires ingesting relevant information from multiple sources, transforming it to bring consistency, performing analysis to determine objectives and insights, visualising the data in an easy-to-digest format, and finally acting on these insights to create new audience segments and personalise marketing experiences. Every step of the process is important, as the data provides valuable insights to inform decisions and track results. Visualising data displays relevant information to generate and share insights, while acting on the insights allows marketers to make informed decisions, personalise experiences, and create new audience segments.
Do I need a Data Warehouse?
Marketing teams are facing a number of challenges when it comes to understanding their customers’ journey, predicting marketing outcomes, and personalising customers’ ad experiences. To overcome this, they have to navigate multiple systems to access siloed data sets and build business processes. A marketing data warehouse is a great solution to this problem. It’s a single, structured, and aggregated data repository that gives marketers the ability to analyse data and make better decisions. It’s also a way to simplify and streamline the process, reducing the time it takes to execute marketing use cases.
How does a Data Warehouse work?
A data warehouse is a large, centralised repository of data that is used to store and manage data from multiple sources in a way that is optimised for analysis, reporting and automation. It is designed to support complex queries and data analysis, making it an ideal tool for business intelligence and analytics.
Google Marketing Data Warehouse is a cloud-based data warehouse that is designed specifically for marketers. It is built on top of the Google Cloud Platform and uses Google’s powerful data analytics and machine learning tools to help marketers gain insights into their marketing performance.