Note: This is an excerpt from our May 6th Press Release.

Read it here.

What is CMU (Customer Match)?

Google’s Customer Match is an advertising tool that enables users to create custom segments from their existing customers by leveraging their 1st Party Data. Previously, users had to manually upload data files, or invest in development to build through Google’s API.  

Through the partnership, Wondaris joins a group of endorsed 3rd party providers that are able to upload this data via a native integration, thereby mitigating the data security and integrity risks involved with manual data entry processes.  

High-Value Audiences

The Wondaris and Google CMU will allow businesses to upload high-value audiences securely through simple and clickable workflows.

“We are excited to offer this powerful automation tool for our customers,” remarked Wondaris CEO Simon Pereira.

“Through the CMU integration, a process that might have taken marketers and data teams several days manually can now be managed with a few clicks, in a privacy-compliant way.”

Find Wondaris In Google

Wondaris can be found directly in the Google Ad Platform by following these steps.

Step 1.
In your Google Ads account, navigate to Tools & Settings & select Linked Accounts.

Step 2.
Scroll down to find Wondaris or Search "Wondaris" in the top right search bar.

Step 3.
Click on Details.

Step 4.
Click Link & Authorise Wondaris.

Step 5.
Go to Wondaris and import your Customer Lists.

Integrate With Wondaris

Wondaris is a cloud-based customer data platform that helps companies quickly and easily build high-value audiences from their 1st party data and activate them into multiple marketing channels with simple, clickable workflows.

We provide a complete data ownership and portability solution, with the ability to centralise data from any of the public cloud vendors, including Google Cloud Platform, AWS, Azure and Snowflake, either via the pre-built connectors or businesses’ existing integration stack.

Wondaris offers businesses a privacy-safe, secure, and infinitely scalable environment to leverage and manage 1st Party Data to drive more effective marketing and better customer experiences.

Want to try Wondaris? Get in touch.

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Technology is changing at an exponential rate, and in such a rapidly evolving landscape, it is easy to get confused by the seemingly endless terminology and acronyms that come with those changes. So in this post, I have attempted to explain the difference to between two big buzz words being thrown around the traps. 

Data Lake and Data Warehouse are now commonly used terms within the world of big data and are often used as if they are interchangeable. However, they are not, and in fact, it’s the core function of each that differentiate them. 

Data Lake

A data lake is for the storage of unstructured, unorganised raw data; and its purpose and audience is undefined.

Data Warehouse

Data warehouse stores processed, structured data for a specific purpose and audience.   

Because of these differences, it is essential to understand why you are storing data to decide which is right for your business. They do not need to exist in isolation or as a single repository; however, most organisations will have a single data lake but might have multiple data warehouses.

Why Data Lake

Why Data Warehouse

Unfortunately, the strength of each is also generally the weakness of the other and as the world shifts to a customer experience economy, most organisations will discover they need both to meet the current and future demands of their internal and external stakeholders. 

However, as access to cloud storage and computing becomes more affordable, even small businesses have the opportunity to leverage the power of almost infinite storage and compute power. 

The key is to make sure you understand the “Why”. if you know that then you can articulate what you need for your business and that is what will guide your decisions.

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