Remove Aggregator Remove Conversion Remove SQL
article thumbnail

A Quick Primer on B2B Conversion Optimization

ConversionXL

Conversion optimization is a little different if you’re in B2B. You’ll still need to do the same types of conversion research, persona building, and experimentation that is common across conversion optimization, but let’s talk a bit about how and why B2B is different. Longer Sales Cycles and Micro-Conversions.

B2B 48
article thumbnail

Scaling lessons learned at Dropbox, part 1

eranki.tumblr.com

Another thing that became increasingly useful was to have thousands of custom stats aggregated over thousands of servers graphed. Almost all the command line tools take line separated, space delimited 2D arrays as input, with implicit numeric conversions as necessary, so you don’t usually need to do backflips to pipe programs together.

Insiders

Sign Up for our Newsletter

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

Trending Sources

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.

article thumbnail

Amazon Redshift Too Slow or Crashing? BlazingDB Performs

Austin Startup

Massive Scale with Unprecedented Speed BlazingDB offers a massively distributed, “cloud first”, high performance SQL database that achieves performance gains on the largest workloads and datasets at extraordinarily competitive costs. Transformations, aggregations and joins at massive scale is where BlazingDB wins!

Peru 58
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. Remember that you have to feed this model with regular traffic and conversion data for the results to be representative.

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

Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

11: Close to zero aggregated analysis exists, everything's segmented. #10: 11: Close to zero aggregated analysis exists, everything's segmented. All data in aggregate is crap. Site Conversion Rate. SQL and web analytics is your wheel house." 12: Almost all reporting is off custom reports. #11:

Analytics 142