Remove Aggregator Remove Campaign Remove SQL
article thumbnail

Fundrise CTO: New SQL Tools Lead to ‘Wonderfully Seamless Solutions’

The Startup Magazine

Despite its decades-old roots, SQL is undergoing a renaissance, buoyed by SQL tool advancements in a variety of data-related tools. What Is SQL? SQL is a standardized programming language specifically designed for managing and interacting with relational databases, where information is stored in interrelated tables.

SQL 122
article thumbnail

A Marketer’s Guide to Kaggle for Analytics and Data Science

ConversionXL

Working with this dataset can be valuable in terms of understanding the underlying structure of Google Analytics data and experimenting with a number of advanced statistical and data mining techniques that can’t be applied when the data is in aggregate form (which is the norm with standard Google Analytics.). Let’s have a closer look.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google Analytics vs. Google Analytics 360 (Based on a Decade of Implementations)

ConversionXL

For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns. English-only audience, those who saw your last ad campaign, etc.). An enterprise data warehouse for fast SQL queries.

article thumbnail

Raw Data & Google Analytics: A Game Changer

ConversionXL

After a few hours playing around with SQL , I was already able to deliver insights I never could have with aggregated Google Analytics reports. What’s the difference between raw and aggregated data in Google Analytics? Google Analytics, in the free version, provides only aggregated data. Where do my users come from?

article thumbnail

Google BigQuery: A Tutorial for Marketers

ConversionXL

Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. Imagine you want to know how much revenue your campaigns generated… …and you sell houses. Once the project is created and you’re in BigQuery, you’ll need to know some SQL to start playing with your BigQuery data.

SQL 84
article thumbnail

A Quick Primer on B2B Conversion Optimization

ConversionXL

So the process in B2B looks a bit like this (simplified): Visitor → MQL → SQL → customer. There you want to look at things in clumps and aggregates. In addition, there may be multiple personas you need to address with different campaigns and pages. Account-Based Marketing. What do they have in common? Employees and managers.

B2B 48
article thumbnail

Multichannel Attribution: How to Measure the Unmeasurable

ConversionXL

You need to prove that your online marketing campaigns drive offline revenue. If you’re measuring the efficiency of online marketing by looking only at Google Analytics orders, you’ll miss the offline orders when evaluating the efficiency of your campaigns. Aggregates. But they can’t make sense of it all. Pure offline.