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6 Buyer’s Journey Insights in Analytics Strategies

Gustavo Goncalves
Gustavo Goncalves

Aug 9, 2023

6 Buyer’s Journey Insights in Analytics Strategies

Insights Analytics

Analytics is a term that refers to mathematical techniques’ tools, Machine Learning and predictive analysis to understand a great amount of data to find patterns.In this way, Insight Analytics is the ability to use all the data available in your EI’ to find ideas, opportunities and make decisions based on facts and analysis. 

Next, we’re going to talk about the main strategies that can be used to have an Insight Analytics. Check it out!

1. CX Analytics

The first data gathering process in Educational Marketing is Customer Experience (CX) imput. The EI needs to understand how people see its brand and how they relate to it.

This can be seen between the EI and the persona, in the way people interact in the EI’s social media, in questions sent by form and even compliments and complaints can generate important information about your brand positioning. 

An EI should consider all this data, once it can be decisive to attract or to back out new enrollments.

2. Business’s KPIs tracking

One of the main tendencies in Marketing is the KPIs tracking.

Before any operation starts, the EI determines the targets and the guides to identify if the decisions that are being made are leading to the previously chosen paths.

These guides don’t show only the success of a certain choice. They also point to events that reflect the students’ buying journey. 

When the team does the data collection, they notice that they reached the enrollment goal, but the conversion rate was lower than the expected, and, as a consequence, the investment per student was higher than the projected.

What that means is: there are some failures in the students’ buying journey, mainly in the conversion stages (tests and enrollments), once people are reaching your EI but they are not finishing the purchase.  

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3. Marketing Automation

Marketing Automation, by its own, can generate a great amount of information that can be used by your EI at any moment. For example, with e-mail marketing you can have data about who opened the email, how many people clicked on it, reading average time, unsubscription, and so on. 

If we connect this information with the sent content, we can have a more precise overview about the conversion strategies and which ones are ignored or devalued.

Add this to all marketing automation offered, as social media control, tracking of website performance, chatbots, online campaigns management... 

The idea of  Insight Analytics is to organize all of this information that comes for different sources and use the pattern to identify opportunities in Marketing Automation all the data is already a little bit filtered for the team to work on it.

4. Enrollment Withdrawal

The connection between the buyer’s journey and the withdrawal stage (when talking about EI, it’s enrollment withdrawal) has always been important.

When you see a lead getting to the end of their buyer’s journey without purchasing, your team has to turn on the red light.

If someone is really engaged with the enrollment process, but something happens and changes their mind, it’s essential to understand what happened. There can be many elements that can influence a student’s final decision and each one of them needs to be processed by your company.

Enrollment withdrawal data are crucial to understand what has been decisive in the process. Maybe people have questions at some stage, maybe the website was out during the registration, maybe the enrollment process spends more time on the internet and there’s more withdrawal by mobile access…

Each one of this information will direct your team’s action.

5. Predictive analysis

Predictive Analysis is the name for a statistical technique that contains data gathering and machine learning to analyse past and present context and predictions of some scenarios.

It uses the students’ buying journey background and present elements that can determine a new enrollment. Then, the predictive analysis relates the information and identifies the main problems and opportunities that can influence positively or negatively the students’ buying journey.

This tool is also recommend to help on students retention, once a EI’s buying journey is a cyclical process and your company has to acquire the students every semester.

Insights Analytics

6. Buyer’s journey dynamic mapping

Another Insight Analytics strategy is dynamic mapping. Mkt4edu uses one of the models by Hans Rosling.

Dynamic mapping consists in a detailed tracking of the buyer’s journey of every student that is already enrolled in your EI. Through this tool it’s possible to identify movements, time between the first website access and the final enrollment and even the Marketing actions impact. 

This is one of the best Insight Analytics tools nowadays and uses lots of the resources we mentioned in this blog post. 

If you want to learn more about the dynamic mapping to understand better the students capture, we recommend the reading of our blog post about Technology and the students’ buying journey: understand this connection!

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Tecnologias que usamos

The world changes all the time and technology is no different! Here at Mkt4Edu, technology is in our DNA, we work with many different softwares to make the whole process of automation and artificial intelligence work more efficiently and achieve more results.

Here, new softwares are tested all the time. Modern tools and new functionalities are tested all the time, there were already more than 200 tests so you can have the best result in your institution.

From customer acquisition to retention: Mkt4edu can make the difference in your marketing operation.


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