Now let's stop and think about what types of data you already have with this tool alone: we have several demographic clusters, with product and brand purchase intentions and the topics of interest to the audience. In addition, we have a funnel to better understand bottlenecks and conversions. WOW!
It’s not over yet. Go to any of the menus mentioned above and select any of the page filters. You will see information about each part of the funnel. This means you can analyze which clusters are in each stage of the conversion funnel. Pretty cool, right?
To make things even better, you can insert the value of a lead into the conversion code, remember? I'll give you a simple formula to calculate how much a lead is worth. It doesn't take into account the cost of acquiring the lead (how much you actually spent on media, SEO, etc.).
Let's say the rate of leads that become deals is 20%.
Put this value in the conversion honduras mobile database tag and you will see that all the clusters will have monetary values! You will know which clusters are most valuable to your company. Just as a reminder, this same value can be used in Google Analytics goals.
Tests with Facebook Ads + Serasa Experian
If you use Facebook Ads, you know that you can target different types of audiences, including concatenating several of them. What you can do to further improve these segmentations for testing is to use Serasa Experian audiences. For those who don't know, Facebook and Serasa Experian have an agreement to cross-reference data within the Facebook platform.
The first step is to fill out this Serasa segmentation request form . From there, once approved, some new options will appear for you. I highlight a few: income range (individual, family and head of household), consumer classification ranges (high, medium and low value purchases) and purchasing profile (for various industries). This is because these segmentations are the only ones about finances and purchasing behaviors that we will find for now.
With this financial data and the data we have via Navegg, we have already been able to carry out some tests to gain more insight into the audience that provides the best return.
Once you know exactly which clusters are most effective for your business, you can create personas . This means that you will create fictional characters based on real consumers of your product or service.
There are two things to consider here: who you are selling to (individual or legal entity) and the depth of the data. This means that you will need to ask some more specific questions to get this data. Since each company sells to different types of individuals or companies, it is difficult to structure a one-size-fits-all form.
What you should analyze before asking questions to your audience is: with all the data you already have in hand, what is crucial and you still don't know? What is still unclear? What can help you sell more?
To do this, you can interview people who are already your customers or use survey software to collect this data. For example, you can use HotJar, which is a great tool for heatmaps, filming, and other things, and also has a survey section.
In it, you can ask open-ended, closed-ended, single-choice, multi-choice and scale questions. Depending on the answers, you can even direct the person to another stream of questions.
Once you have this data, you will create the fictional characters, as per the example below:
João, a man, living in Belo Horizonte, earns over R$5,000 per month, single, no children, postgraduate, in the IT sector, in great financial difficulties, is looking for ways to stay compliant, so he watches videos about personal finances.