How does online all Internet users encounter advertising on websites. Among them are those who willingly follow advertising links, others either use ad blockers or simply ignore them, and some even begin to hate this advertising campaign .
The effectiveness of placing advertising links and banners largely depends on how successfully you managed to identify the key audience, and most importantly, whether you correctly predicted its behavior.
AdButton specialists analyze in detail what an advertiser needs to accurately predict user reactions.
How does online customer base
In fact, this is the simplest thing an advertiser should have, but even having your own customer base does not give a complete picture of the bulgaria cell phone number list target audience portrait. The most an advertiser can do is simply offer their new products to everyone. However, there is a high risk that the customer base will decrease due to the fact that not all users will like the advertising product or excessive intrusiveness.
In order for an advertising campaign to be more successful, it is necessary to clearly segment the audience, at least by the simplest characteristics: gender and age. After that, offer personal offers to a certain segment and look at the success of the advertising.
You can analyze your customer base and find out who makes purchases regularly and who at some point lost interest in the brand.
Of course, having only a customer base at your disposal, it is quite difficult to define the target audience and find out its interests. To clearly understand the behavior of your customers, you need to use additional tools.
Additional data and algorithms for forecasting
To work with predictive algorithms, it is necessary to accumulate more data about users. The algorithms in question make it possible to predict audience behavior with high accuracy and help create more relevant advertising .
Most of our purchases are subject to a certain logic. For example, it is much easier and simpler for us to spend money after receiving our salary, and not a week before it. If in everyday life we rarely pay attention to this pattern, then this is exactly why there are analytical departments in large corporations that select the most successful moments for advertising.
Statistical data accumulated over a sufficient period of time allows to clearly determine the pattern of purchase at a certain time, the fullness robert capelli pdg, fondateur of the basket or the established categories of goods. Then complex mathematical calculations are connected to the analysis, as well as probability theory and games. This requires large expenditures, but the results are sure to pay off.
Most often, analytical departments distinguish the following categories of buyers:
- those who buy a lot and very often;
- clients who actively respond to various advertising campaigns ;
- those whose mood for making a purchase has become changeable, and they may soon cease to be your customers altogether;
- those who have already stopped making purchases, and the likelihood of their return is incredibly low.
You can and should interact with any of these groups
To do this, you need to select specific templates and phrases for each one that can motivate the client to buy. For some categories, personal How loan data does online discounts and promotions work great – they can bring back those who have already left you, as well as increase sales for those who already buy a lot.
To get even more information about your audience, such as why a regular customer has started buying significantly less, additional data is needed.