Supermetrics Blog
Learn (almost) everything you need to know about marketing reporting and analytics.
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 DataFrame, and how to load it into a local MySQL database on your device. But ...
15-MINUTE READ | By David Magdolen
Pinterest is one of those platforms that many small business owners and bloggers overlook. This is often due to the misconception that the platform is only used for looking up recipes and home décor ideas. However, there are several other blog niches, such as fitness, DIY, finance, parenthood, tech, relationships, and coding, that are extremely ...
10-MINUTE READ | By Christian Coulson
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 a simple API connection may not take a lot of your data team’s time, the ...
8-MINUTE READ | By Riku Mikkonen
Snapchat Marketing has officially joined the Supermetrics connector squad. ?? We’re happy to announce that you can now pull your paid Snapchat data into Google Sheets, Google Data Studio, Excel, BI tools, and data warehouses with Supermetrics. With this connector, you can: Let’s take a look at each case in more detail. Create in-depth Snapchat ...
4-MINUTE READ | By Joy Huynh
If you’re using Google Sheets, you probably need to reference or import data from another sheet every once in a while. It’s not very complicated, and there are a few ways to do that. You can copy/paste the data, of course. For a tiny, select dataset, that might work. But that way, your data won’t ...
5-MINUTE READ | By Sophie Michaud
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 large volumes of cross-channel data, many analytically mature companies have recently started adding a new foundation to their data architectures. ...
6-MINUTE READ | By Supermetrics
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 Synapse Analytics) allows you to centralize all that data into a single destination. ...
24-MINUTE READ | By Riku Mikkonen
If you work in ecommerce but aren’t running Facebook Ads campaigns, you’re missing out on a huge opportunity to grow your business. That’s why we teamed up with Savannah Sanchez, Founder of The Social Savannah, to show you how to set up, analyze, and optimize your Facebook Ads campaigns. By the way, this article is ...
8-MINUTE READ | By Joy Huynh
Stay in the loop with our newsletter
Be the first to hear about product updates and marketing data tips