Kaggle, the Google-acquired data science platform, started as a virtual meeting point for machine-learning geeks to compete on predictive accuracy scores.
It evolved into a Swiss Army knife for data science and analytics—one that can help data professionals, including data-driven marketers, elevate their analytics game.
Why create a custom attribution tool? Because with out-of-the-box tools, you’re limited by their functionality, data transformations, models, and heuristics.
According to a study, 71% of website visitors complete their purchases offline.
Online, we have plenty of ways to track visitor behavior—cookies, heat maps, click tracking, retargeting, etc., but as soon as that person picks up the phone, we’re lost. We don’t have to be.
When most people think about tag management, they think about Google Tag Manager (GTM), Adobe Launch, and Adobe DTM. And, usually, companies are using the tag manager provided by their chosen web and/or app analytics vendor.
This article highlights what a vendor-agnostic tag manager product, Tealium iQ, brings to the table. Tealium iQ is a feature-rich product that also has a unique angle to tag management compared to the market-dominating products.
Google Analytics and Google Tag Manager have limitations. Often, these limitations are outside your control (e.g., technical aspects of a website that can’t be changed).
Fortunately, many issues—such as updating a user status from your CRM or sending refund data—are solved by using Google Analytics’ Measurement Protocol:
When it comes to Google BigQuery, there are plenty of articles and online courses out there. Most are “tech to tech” explanations—which are great. But they can be intimidating for those beginning their marketing-to-tech journey.
If you’ve ever tried to build an attribution model that wasn’t position-based (i.e. last click, first click, linear, etc.), you might have felt overwhelmed. But customer paths are non-linear and pretty complicated—sooo many things influence conversions.
Most businesses have a lot of data about customer behavior: the devices they use to purchase, ads, competitors’ pricing, keywords, etc. But they can’t make sense of it all.
A few years ago, our developers rolled out Angular on a few key web pages—without consulting the web analytics team. The pageviews on some of the pages suddenly dropped to almost nothing.
I bought two books on Angular to try to find a solution. Meanwhile, my manager stumbled on an alternative syntax for tracking pageviews in Adobe Analytics. As we found out, a similar alternative syntax also exists to track clicks (and anything else).
As Peter Drucker famously wrote, “The aim of marketing is to know the customer so well the product or service fits them, and sells itself.”
In conversion optimization, we talk about the importance of knowing our customers a lot.
But we rarely talk about the process of strategically segmenting our audience so that our products and services can sell themselves.
Your website is leaking money. Everybody’s is.
The first step toward plugging the leaks is identifying where the leaks are. Which funnel steps, which layers of your site, which specific pages are leaking money? Google Analytics can provide answers.