Created and designed by Google, BigQuery is a great data warehousing option for PPC agencies.
As more agencies delve into what they can do with BigQuery, people are searching for ways to build reliable PPC data pipelines and design ongoing data management workflows.
Supermetrics for BigQuery and our Shape ADI for BigQuery are both designed to help organizations tackle these challenges.
In this article, we’ll go through how our BigQuery products differ and where they are alike.
We couldn’t be happier to share a space in the market with a company such as Supermetrics.
We admire the culture and product they have built. From our perspective, the two main differences between Shape and Supermetrics as companies are reflected in our BigQuery products:
1. Shape's focus on PPC.
Supermetrics has built a broad customer base of tens of thousands of customers. Some of those customers are PPC agencies but many are not. To accommodate this diverse range of customers Supermetrics supports 20+ ad network connections.
Here at Shape, we are focused on the PPC data sources that make up the vast majority of PPC spend including Google Ads and Facebook Ads.
2. Shape’s ability to push edits back to ad networks.
Supermetrics products are designed to pull data in from many different sources. But their pipelines are designed to allow data to flow one way. In turn, Supermetrics primarily powers reporting workflows.
At Shape, all of our products including Shape ADI for BigQuery, are built with a foundation that allows edits to be pushed back to ad networks. This empowers agencies to build custom tools and solutions that automate manual tasks beyond reporting.
If you need to sync with data with niche DSPs or smaller social networks purely for reporting purposes, Supermetrics for BigQuery is likely the best fit.
If you are focused on PPC, and need to utilize a deeper breadth of data fields and/or build custom solutions beyond reporting, Shape ADI for BigQuery will meet more of your needs.