Paolo

Data elements are the backbone of #AdobeLaunch. Reuse them consistently instead of reinventing them per rule.

In #AdobeLaunch, the power is in extensions—but discipline is in rules. Keep them documented and modular.

#DigitalAnalytics isn’t just web traffic. It’s apps, IoT, offline touchpoints. Are you still thinking pageviews only?

My 5-step QA checklist: plan → preview → debug → record → peer-review. Simple beats fancy. Do you have a formal QA process?

Tracking without a strategy is like saving receipts you’ll never use. What’s the north star question guiding your setup?

Data layers are the backbone of reliable tracking. Without them, every tag pulls in its own messy way. Do you have one source of truth—or many silos?

Segments in #AdobeAnalytics are not just filters—they’re lenses. They change how you see the same dataset.

"Global" AWS service

Looks inside

it's us-east-1 again

Classifications in #AdobeAnalytics are underrated. They turn raw data into business meaning.

Donald Dump

Gotta come up with some new names to make the shareholders happy

Auto-event tracking promises shortcuts—but creates chaos if unchecked. Have you seen it flood reports with noise?

Didn't they release the annotations feature earlier this year? support.google.com/analytics/an...

#Analytics work is 80% #Debugging, 20% insight. And that’s fine. Do you treat #Debugging as a core skill, or as wasted time?

#AdobeAnalytics shines when paired with a solid implementation strategy. Don’t treat it as a reporting tool—it’s an insight platform.

Auto-event tracking in #GTM sounds great… until your reports drown in noise. Control it with clear filters.

Always version-control your #GTM container. Rollback saves projects (and nerves).

In #GTM, triggers are often the hidden source of chaos. Reuse triggers, don’t duplicate them endlessly.

I built an #MCPserver that lets #LLM automate #GoogleTagManager tasks!
It acts as a bridge for #AI to create variables, bulk update triggers, and more. Saving time and reducing errors.

Online MCP server: gtmeditor.com
Local MCP server: github.com/paolobtl/gtm...

#MarTech #Automation #AItools

Dashboards fail not from missing data, but from unclear KPIs. Clarity beats complexity.

Explaining #Analytics isn’t about metrics. It’s about stories: what happened, why, and what’s next. Do your reports speak human—or analyst-only?

It'll have transparent walls

Don’t ignore #GA4 DebugView. It’s the fastest way to spot broken events before they pollute your reports.

Client-side tracking is fading. Server-side is growing. Why? #Privacy, #AdBlockers, control. Are you planning the migration or waiting until forced?

A tracking plan is as important as the media plan. Without it, campaigns run blind.

#DigitalAnalytics is not about collecting everything. It’s about defining the questions first, then tagging only what answers them.

Event #NamingConventions sound boring—until you scale. Chaos today means broken reports tomorrow. Do you follow strict rules, or is it freestyle in your team?

My top 3 browser tools for #Debugging #Analytics: 1) Tag Assistant. 2) DataLayer Inspector. 3) Network tab in DevTools. Which one saves you most time?

A/B tests are only as good as the data feeding them. If your tags are wrong, results are useless. Garbage in, garbage out. How do you QA before testing?

🚀 Excited to announce the release of a web app to validate the Product String (s.products) for #AdobeAnalytics! It ensures perfect formatting before sending to Adobe.
Feedbacks are welcome to make it even better!

Try it:
paolobtl.github.io/aa-product-v...

#DigitalAnalytics #AdobeLaunch #AdobeTags