It seems like data lakes are all the rage these days. Why is that? And more importantly, if you work with marketing data, why should you care? And if you do care, but don’t know how to query data in…
9-MINUTE READ | By Evan Kaeding
When I first started using Google Sheets, I thought it was a joke. My first experience with it back in 2010 was in high school when I was in my Intro to Accounting class. My exact thoughts were, “There’s no…
6-MINUTE READ | By Evan Kaeding
In this guide, I’ll show you how to use the Supermetrics API with Python to query data from marketing and digital advertising platforms (like Facebook, LinkedIn, Twitter, and many more) in JSON format, how to convert that data into a…
15-MINUTE READ | By David Magdolen
If you’ve ever been involved in building and maintaining custom API connections between popular marketing/sales platforms and cloud data warehouses or data lakes, you’d probably agree that it’s a tedious process that always takes longer than originally estimated. While building…
8-MINUTE READ | By Riku Mikkonen
If you’ve ever dealt with marketing data, you’d probably agree that siloed data is the number one enemy of effective reporting and analytics. And while cloud-based data warehouses like BigQuery and Snowflake are great solutions for integrating, storing, and analyzing…
6-MINUTE READ | By Evan Kaeding and Pinja Virtanen
You know how your marketing data lives across dozens of different platforms, including — but definitely not limited to — Google Analytics, Facebook Ads, LinkedIn, Google Analytics, and/or Salesforce? A cloud-based marketing data warehouse (like Google BigQuery, Snowflake, or Azure…
24-MINUTE READ | By Riku Mikkonen
Ecommerce merchants and marketers have one major advantage over brick and mortar retailers: data. When your shoppers come from the internet, you can measure almost every aspect of your interactions with them. However, that advantage doesn’t count for much without…
8-MINUTE READ | By Kaleigh Moore
If you’re looking to move your cross-channel marketing and sales data into a data warehouse (like Google BigQuery, Snowflake, or Azure Synapse Analytics), a cloud storage solution or data lake (like Google Cloud Storage Bucket, Amazon S3, or Azure Storage…
9-MINUTE READ | By Evan Kaeding and Pinja Virtanen
Like most fast-growing SaaS companies, we use a ton of data to track and spur our growth at Supermetrics. A big part of the credit here goes to our 3-person growth team, who are in charge of tracking and analyzing…
6-MINUTE READ | By Riku Mikkonen
Before you start sweating: nope, your competitors aren’t very likely to be advanced users of predictive analytics in marketing. Yet. But since the predictive analytics market is growing at a 23.2% rate year over year and we know that predictive…
12-MINUTE READ | By Pinja Virtanen
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