Companies need to ensure that someone is actively analysing the data and turning it into recommendations. Otherwise, digital analytics will remain a dream.
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Focus on Why in Digital Analytics
Asking “why” forces us to focus on the motivations, pain points, and decision-making processes behind user actions.
In digital analytics, the technical side of the work is rarely the biggest challenge. It’s persuading stakeholders to take action based on insights.
AI is impressive. But does AI-generated content make you, your blog or your company memorable and interesting? Does it make you a thought leader?
Many companies spend time and money picking the perfect digital analytics tool. With so many options available, each offering slightly different features and terminologies, it’s easy to get caught up in the selection process. Enterprise tools (GA360, Adobe Analytics, etc.) are often sold as shiny objects and silver bullets that promise to solve all digital […]
Picture someone who installs an ad blocker to stop all online advertisers from tracking them. When they visit websites, they click “accept” on cookie notices, thinking their ad blocker already blocks any tracking from those cookies.
As more companies seek alternatives to Google Analytics, they must also consider which tag management tool to select. A tag manager enables you to manage marketing and analytics tags on the website without modifying your site’s code. This enhances data tracking, improves website speed and simplifies tag management.
The Matomo open-source web analytics software is gaining traction as organisations increasingly prioritise data privacy and ownership. Unlike many other analytics platforms, Matomo offers users full control over their data. This makes Matomo Analytics an ideal choice for industries like the public sector, healthcare, legal firms, and any organisation with strict data privacy policies.
In my previous article, I suggested a minimalist approach to digital analytics known as Minimum Viable Analytics (MVA). This approach focuses on implementing essential analytics features that provide immediate value without overwhelming resources or requiring a specialist’s expertise.
More isn’t always better. Vast amounts of data can offer material for deep insights but can also overwhelm and complicate decision-making. This is where Minimum Viable Analytics (MVA) comes in.