Black and white portrait of Dana DiTomaso

Dana DiTomaso

Founder & Lead Instructor

Dana enjoys solving problems that haven’t been solved before. With her 20+ years experience in digital marketing and teaching, she has a knack for distilling complex topics into engaging and easy to understand instruction. You’ll find Dana sharing her knowledge at digital marketing conferences around the world, teaching courses, and hosting a technology column.

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    Google Tag Gateway vs. Google Tag Manager: What's the Difference?

    By Dana DiTomaso June 3, 2026
    Google Tag Manager and Google Tag Gateway both have "tag" in the name but solve completely different problems — here's how to tell them apart.
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    Is Google Analytics HIPAA Compliant? The Honest Answer for Healthcare Marketers (2026)

    By Dana DiTomaso May 24, 2026
    Google won't sign a BAA for GA4 — here's what that means for your healthcare organization, and what the 2024 AHA court ruling actually changed.
  • GA4 Explorations table showing page paths with entrances and exits metrics side by side

    Exits and Entrances: The GA4 Metrics You Didn't Know You Were Missing

    By Dana DiTomaso May 19, 2026
    GA4 exit pages and entrances are hidden in Explorations—here's how to build the view, read the data, and tell a broken page from one that's doing exactly what it should.
  • Taking a closer look at your email marketing reports

    It's Time to Re-Evaluate Your Email Marketing Reports

    By Dana DiTomaso May 13, 2026
    Your email click rate is probably inflated by bot activity — here's how to find out how much, and what to do about it.
  • Impression Share by Funnel Position: A Better SEO Funnel Reporting Framework

    By Dana DiTomaso May 5, 2026
    Read your GSC impressions through a funnel-position lens to diagnose where your search visibility is heaviest and where you're invisible to buyers.
  • Diagram showing four page purpose categories — Navigate, Content Consumption, Form Fill, and Authority — with each linked to a different success metric.

    What's the Job of This Page? A Framework for Tagging Pages by Purpose

    By Dana DiTomaso April 28, 2026
    Site-wide conversion rate hides the signal you need — here's a framework for tagging pages by their job, and using that to ask better reporting questions.
  • Before You Go Server-Side: What You Actually Need to Get Started With Server-Side Tagging

    By Dana DiTomaso April 22, 2026
    Thinking about server-side tagging? Let's untangle the five things people confuse, determine your starting point, and figure out what you actually need.
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    We Are Not Data Accountants

    By Dana DiTomaso April 15, 2026
    A reframe for analysts and marketers who've been pressured into treating analytics as a reconciliation exercise — and why reasoning from imperfect data is both more honest and more useful.
  • Which Google Search Console Table Should You Use in Looker Studio?

    By Dana DiTomaso April 8, 2026
    The GSC Looker Studio connector offers two tables — Site Impression and URL Impression — with no explanation of the difference. Here's how to choose the right one.
  • How to Use Redirects and UTMs to See If Your Offline Ads Are Actually Working

    By Dana DiTomaso March 18, 2026
    Learn how to use redirect URLs and UTM parameters together to track offline advertising campaigns — flyers, radio ads, transit — in GA4, with a platform-by-platform setup guide.
  • The Quality Traffic Metric: Building a Better Signal for Google Ads, Meta, and Other Ad Networks

    By Dana DiTomaso March 3, 2026
    Learn how to build a composite quality traffic metric in GTM that combines time on page with scroll depth and deploy it as a micro conversion across Google Ads, Meta, and other ad networks.
  • Comparison of data-driven versus data-informed approaches to marketing analytics decision making

    Data-Driven vs. Data-Informed: Why the Distinction Matters

    By Dana DiTomaso February 25, 2026
    Data is directional, not authoritative — here's why "data-informed" leads to better marketing decisions than "data-driven" and what that shift looks like in practice.
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