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.
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.
With web analytics, you can identify where the digital customer experience fails. This can be achieved by measuring anti-conversions.
Does your organization struggle to provide a return on investments in digital analytics? Many organizations collect and report digital analytics data from their websites, but unfortunately, they often fail to derive insights and take action based on those insights.