Remove Aggregator Remove Campaign Remove Engineer Remove Green
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Google Analytics Visitor Segmentation: Users, Sequences, Cohorts!

Occam's Razor

In fact I've gone so far as to say: "All data in aggregate is crap." " That's certainly a bit melodramatic, but beyond the most bare bones "ahh, I see something is happening" you are unable to get anywhere with aggregate data. Even though Mr. Green only crossed that limit of 125 across two visits.

Analytics 145
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Lessons Learned: Please teach kids programming, Mr. President

Startup Lessons Learned

After volunteering for the Obama campaign last year, a friend of mine insisted that I write a letter to our new President telling him what I thought he should do. But aggregated across many schools, there are thousands or tens of thousands of them. May 16, 2009 1:52 PM Todd Green said. Ill explain in a moment. Good Post.

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Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models

Occam's Razor

All I have to do is look at the very last column and look at the green and red arrows and get guidance about how I should shift my budgets? And you are telling me that the Cost Per Acquisition for my display campaigns is not $201 but rather a lowly $155? Campaign is defined as anything but Direct traffic. That is so cool.

Channel 161
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UTM Parameters: A Complete Guide for Traffic Attribution

ConversionXL

If we’re not tracking from which websites, which campaigns, or which channels they visit, how could we know how much of that conversion to attribute to each source? You may run, for example, several Facebook campaigns. Which email campaign was this link in? Marketers must be able to reliably credit conversions (i.e.

Analytics 118
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Marching through quicksand

Startup Lessons Learned

The biggest lost opportunity of all, though, is this one: we no longer need to rely on scarcity or status-oriented measures to filter which projects should get the green light. Each new campaign is a startup where Lean principals can be applied to maximum effect. link] August 24, 2009 2:50 PM Quentin said.

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Google BigQuery: A Tutorial for Marketers

ConversionXL

Imagine you want to know how much revenue your campaigns generated… …and you sell houses. Pulling your Google Analytics data into BigQuery has benefits: No sampling; You own the data; Non-aggregate stats; Ability to create custom attribution models , etc. BI engines. Another use case. Put your developers to work.

SQL 84
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Be Real-World Smart: A Beginner's Advanced Google Analytics Guide

Occam's Razor

The latter is particularly useful as an aggregated view for senior executives. The GA team is also helping you out by helping you understand where the results are significant, green and red arrows, and where it is directional, up or down gray arrows. Try it when you are in the Store demo account. Take a break.