The following elements are also worth thinking:
1/ is the data point implementable? Can you make decisions based on the data to improve them?
2/ Which additional elements must be taken into account? It makes no sense to have “number of leads” as a single metric if the actual quality is a critical problem.
3/ Due to the attention to certain metrics, colleagues usually only concentrate on them. It is important to ensure that you do not neglect other areas.
4/ How easy are the data to be reported and what process is there to ensure that measures are taken if necessary?
5/ What trust do you have in the data? Take Google Analytics data – The application of a filter to data records is of crucial importance and the data you display is fundamentally changed. For example: filter out the traffic that does not stay more than 5 seconds, or filter the data traffic from your IP address.
It is also worth noting that:
1/ Keep the number of metrics on which you want to concentrate on the minimal.
2/ “apples to apples” data comparisons with other companies are largely waste in view of the many variables in the game.
3/ Google Analytics represents alongside people like Google search consolePresent Google Pagespeed Insights and third -party tools like SemrushPresent MOZPresent AhrefsPresent Pingdie etc.
4/ Think about how to report on the data is also of crucial importance. Will the consumer of the data be easy to recognize trends and patterns and can you give insights into changes?
5/ The following metrics are secondary to metrics related to the nuclear economy of the business unit, including margin and profit that should track and share their CFO.
