A web analytics implementation involves more than just placing a piece of tracking code on your website or app. To truly obtain valuable insights, an implementation adjusted to your business is advised. Together with the certainty that the collected data is reliable. Our consultants are happy to help you with the technical challenges to achieve this.

Implementation framework

Once the measurement goals are defined, we translate these into implementation & configuration requirements, documented in the implementation framework. This framework contains naming conventions, tagging details and account configurations.

Since we strongly believe in knowledge sharing between our consultants and internal employees, the framework is designed so that it is clear to everyone what is measured and how this was implemented. In this way, the knowledge does not disappear together with our consultants at the end of a project.

An implementation framework includes the following elements
  • General guidelines
  • Site & URL structure
  • Account structure & acces levels
  • Processing rules/filters
  • E-commerce tracking

  • Custom Dimensions & Metrics / eVars & sProps
  • Events
  • Campaign tagging conventions
  • An overview of known issues that need to be kept in mind when interpreting historical data.

Implementation & configuration

The Implementation Framework provides guidance in preparing a briefing for the implementation partner. Preferably, we recommend working with a Tag Management System as this increases flexibility and reduces lead time on new developments.

We can also support you in the configuration of your web analytics account, ensuring that the collected data appears correctly in the reports.

Data quality

Besides deployment and configuration, we can help you with setting up a Quality Assurance (QA) process for your web analytics.

With the help of semi-automated processes, we check if the tracking code is properly implemented, if the tag manager is well configured and whether the numbers that appear in your analytics tool are really the result of the assumed behaviour.