Remove Aggregator Remove Campaign Remove Sales Remove SQL
article thumbnail

A Quick Primer on B2B Conversion Optimization

ConversionXL

Some of the same underlying principles apply, but because of the inherent differences in buying decisions and sales cycles, pulling B2C optimization practices straight from the book might be a bad idea. There are a few things that make optimizing for B2B a different beast: The sales cycle is usually longer.

B2B 48
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?

Insiders

Sign Up for our Newsletter

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

article thumbnail

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

ConversionXL

Most importantly, there’s a large variety of datasets related to marketing, ecommerce, and sales. Work with R, Python, and SQL code directly from the browser—no need to install anything. Some interesting marketing datasets to explore. They come with a quality score ranging from 1 to 10 based on how complete the documentation is.

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.). Attribution modeling. Only Google knows.

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. But they can’t make sense of it all. Finding and buying products online.

article thumbnail

Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

Or: While revenue is up by 48% profits have plunged by 80% because of our aggressive shift from to Cost Per Click as the God metric, this has brought increased sales of our loss leading products. For example, this post Google Analytics Custom Reports: Paid Search Campaigns Analysis , has three great CDPs for your Paid Search team.

Analytics 159
article thumbnail

Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

which marketing campaigns, channels, touches, behaviors, and demographics are contributing to a business outcome, a form of “machine learning–based attribution.”. According to Phillips: A few thousand records with a sufficient amount of positive and negative outcomes can be sufficient for marketing, sales, and product prediction.

Analytics 131