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Data minimisation in digital analytics: Less data, better results

Data minimisation is a core principle in privacy regulations, such as the GDPR. But it’s also just common sense.

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Documentation is essential for sustainable digital analytics success

Good documentation doesn’t slow things down. It keeps everything working. This post is for marketing and IT decision-makers, analytics product owners, and anyone responsible for making sure analytics delivers value.

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Are you training your replacement?

In the age of AI, the safe path—following the approved process—isn’t safe anymore.

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5 signs your company needs a digital analytics consultant

If your team is stuck with reports that don’t lead to decisions or tools that don’t quite work together, it might be time to bring in a digital analytics consultant.

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Bulletproof numbers, compliance, and user-based tracking – an impossible trinity in digital analytics

You can have bulletproof data. You can follow privacy regulations. You can track users across sessions. But you can’t have all three.

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One person can’t do it all in digital analytics – but sometimes they have to

For most of my career in digital analytics, I’ve done a bit of everything. In theory, that sounds like a full-stack analytics dream. In practice, it’s exhausting.

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When the company and website structure change, analytics must change too

Analytics can’t stay tied to the old structure if the business has moved on. Just like the website evolved, the measurement framework must evolve. Otherwise, we only force the new site to fit inside old templates.

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Why no one is happy with digital marketing analytics — and how we got here

“What did marketing actually achieve?” – is the question at the end of every quarter. Or every month. And the answer never quite satisfies anyone in the room.

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Stop tagging to focus on value – use “no tagging” months

Minimalism influencers advocate no-buy months. They stop buying anything unnecessary to focus on what they need. In digital analytics, we can use “no tagging” months to focus on data that matters.

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Dream vs. reality in corporate digital analytics: Who’s actually analyzing the data?

Companies need to ensure that someone is actively analysing the data and turning it into recommendations. Otherwise, digital analytics will remain a dream.