Data Management

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When I started my career as a research analyst in 2006, marketing was much easier than it is today. The industry was less crowded. Search opportunities in both organic and paid advertising were huge. Direct response ads were at their heyday. Marketers could track pretty much everything. Probably, the hardest challenge was getting siloed marketing ...

Every organization is on an analytics journey. Some are quite far along, while others are just getting started. At Supermetrics, we provide solutions to help customers wrangle their marketing data and analytics, no matter what stage they’re at. From freelance marketers and small agencies to Fortune 500 companies, you’re in good company with us. ...

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 your cloud storage bucket from BigQuery, how would you go about doing that? In this ...

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. ...

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. ...

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 a system for making sense of your data. Many companies think they already have a ...

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 is in charge of tracking and analyzing our marketing and sales performance as well as sharing their insights with the rest of ...

While you’ve always been able to use common data extraction schemas in Supermetrics for BigQuery, you might occasionally also want to pull metrics that aren’t covered by a standard schema. To tackle this need, we’ve launched a new feature: the schema builder. The schema builder offers an easy way for you to create custom data ...