Why is it worth seeing digital marketing measurement as a process?

[sharminakter]

At its simplest, analytics is about helping you achieve business value. This is not just about installing the basic analytics code. To achieve the desired outcome, you need to take a series of steps, or a process.

The steps in the process are:

collecting information and combining different information sources,
data segmentation,
integration,
visualization and
interpreting data and planning actions based on this.
To enable the final stage, i.e. data interpretation and correct conclusions, all previous stages must perform their tasks with near perfection. A mistake at any stage can cost you many times over in the form of incorrect malaysia phone data conclusions or lost sales. For example, if the tracking of leads or purchases in the CONVERT stage is incorrect, the wrong conclusion can be drawn about the functionality or inefficiency of marketing channels and thus allocate advertising budget to the wrong place.

Furthermore, history cannot be created retrospectively. If some information was not collected a year ago, it cannot be used for comparison, for example. So we need to start by building the foundations and move consistently towards a situation where we can trust what we see.

For this reason, it is worth seeing the process as a kind of waterfall, where different stages follow each other before the next one can be started. The process is agile – things are changed, the effects are measured and based on feedback (data) they are developed, i.e. optimized. After this, the process continues.

The measurement process
measurement process