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Post Info TOPIC: What Is Behavioral Analytics?


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What Is Behavioral Analytics?

Behavioral Analysis Definition

Behavioral analytics is a sub-field of data analytics that provides insights into people’s actions. Business can uses behavioral analytics to optimize opportunities and achieve specific business outcomes and goals. It uses large amounts of raw data from users when they visit social networking sites, game applications, marketing, and retail websites. It requires a much deeper examination of user behavior than basic metrics such as the number of users or pages viewed.

Some examples of digital users can be used for Behavior Analysis

  • Making an account 
  • Filling in a form 
  • Performing a song 
  • Cart adjustment 
  • Buying a subscription 
  • Typing in search engine 
  • Scrolling time 


These behaviors are event-based analytics to reveal user preferences, intentions, and habits. This algorithm helped increase engagement and customer retention, as well as offer customer better value. 

How Does User Behavioral Analytics Work

The foundation of behavioral analytics is hard data. It uses the massive amounts of raw data which people generate while using social media, gaming applications, marketing, retail sites, or applications. This data is collected and analyzed before being used to make certain decisions, such as how to determine future trends, business activity, or ad placement.   


Your analytics platform should collect user behaviors from your product and a data warehouse or CDP, and it should integrate with other tools such as social and email messaging systems. The behavioral data can then be visualized using a dashboard or reporting system.  

How does User Behavioral Analytics work

fter gathering behavioral data, you must define the specific business goals and objectives you wish to achieve. These objectives are specific to your company and product, but retention, conversion, and engagement are almost universal across industries. It will be much more difficult to draw insights from behavioral data if you do not have specific short- and long-term business goals.  


Finally, your primary goal should be to learn as much as possible about your customers: what they want, what they don’t like, and what keeps them engaged.


When certain groups’ behaviors are examined, user patterns and tendencies emerge. Cohorts can be segmented on specific behaviors to discover opportunities to improve the entire customer journey. 

Significant Benefits Of Behavioral Analytics For Your Business

1. Target the right type of user

If user behavior is unclear, such as users not converting or engaging, you’re most likely targeting the wrong audience. User behavior informs you about the types of visitors who transform the most and those who convert the least; understanding this distinction can help determine who you should market to. This observation should be made over a long enough period to determine which actions are habitual and which are meaningless variables that have no bearing on the overall evaluation. 

2. Save time and budget

Once you have data on user behavior, you won’t have to waste time assuming which features on your site will attract and persuade visitors to convert. Through this powerful and well-researched data, you know exactly what users want. User behavior can also suggest where you should conduct A/B Testing, which we’ll discuss in the following section of the article.  


Furthermore, you can contact users directly and learn about their experiences with your product through interviews, identifying their challenges and problems. Combining A/B testing insights with qualitative data allows you to make better product decisions. 

3. Influence future behavior

Knowing your current users’ behavior provides insights that will help you create the right products and influence more future users. You can quickly identify users’ roadblocks that prevent them from converting or returning to your service. For example, if you notice that people are abandoning the lead gen form after they reach the physical address field, you should either make that field optional or remove it for future users. 


In a nutshell, by identifying key challenges in design sprints and speeding up the iterative process of creating something useful for your audience, you will be able to make better product decisions. 

4. Know your best marketing sources


Understanding how users find your site to improve marketing and conversions is critical. When you know where most of your users go and convert, you can prioritize that source to increase sales and revenue significantly. On the other hand, you must identify the source from which the user never converts so that marketing efforts can be directed elsewhere for better results. At this point, the various geographical and cultural factors will assist you in determining the correct type of service and product that customers require to capitalize on the opportunity. Source: Behavioral analytics 




Synodus | Big data analytics

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