Capturing leads or subscribers is one of the main objectives of your inbound marketing strategy , and without them we would certainly not be able to start our eMail Marketing campaigns. But perhaps you have not asked yourself what the second step is to keep your subscribers engaged and for your campaigns to be successful: you must carry out a database analysis with which you will see much more positive results.
Post Content
What is database analysis?
3 main types of database analysis
1. One-dimensional database analysis
2. Two-dimensional database analysis
3. Three-dimensional database analysis
What is database analysis?
Conducting a database analysis after sending your campaigns will give you valuable information such as the interests of each of your subscribers based on their gender, personal myanmar business email list tastes, previous purchases, opening rates, landing page visits, location, age and many other factors that will help you segment your audience according to their behavior within your online ecosystem.
3 main types of database analysis
The time, effort and investment spent on an e-mail marketing campaign will be of no use if we are not able to analyse the information and process it to improve our next deliveries .
Not only will you save time and costs, but you will also provide personalized content aimed at your next target audience according to the results you have generated.
1. One-dimensional database analysis
One-dimensional database analysis refers to analysis based on a series of variables that give the user a final score, which will be used to rank contacts according to their relevance. Its objective is to prioritize contacts based on their usefulness, so the sales team will only take the list and contact them.
Why nobody opens your newsletter and how to fix it
However, its main disadvantage is that variables such as engagement will not be taken into account , so the information about these leads will not be sufficient.
2. Two-dimensional database analysis
This type of analysis will take into account sociodemographic factors, but also interaction with the brand or engagement, in which the degree of brand awareness and how the subscriber has interacted with it can be defined.
Although this type of analysis has already provided us with more key information about our subscribers, its main drawback is that it does not take into account whether the user is in an early or advanced purchasing phase.
3. Three-dimensional database analysis
This third option is based on three dimensions: sociodemographic factors, interaction with the brand and also the purchasing process , which provides information about the point at which each user is located.
This allows you to determine whether the user is just getting to know the brand, or is at a more advanced stage in which they are comparing to find out which one meets their expectations.
Its main advantages are obvious: it allows us to achieve a much deeper and qualitative analysis of our database and not just establish it based on a score, but rather work by completely differentiating the profiles, which makes them extremely useful.