What is behavioral analysis?
Posted: Sat Jan 04, 2025 4:50 am
What is behavioral analytics? Is it important to study customer behavior? What are the types of behavioral data? Is it possible to design great products without any insight into people's behavior and values? What are the three steps of behavioral analytics? Read the article to learn more.
Behavioral analytics is a new method of analysis used to evaluate the interaction between a customer and a web-based business. Behavioral analytics is used by industries such as e-commerce, gaming, and social media to achieve specific business goals, typically to maximize sales or increase customer retention.
Behavioral analytics is a subset of business analytics or data analytics. There are differences between these two approaches: business analytics is used to analyze past data using statistical methods, while behavioral analytics focuses on recording and tracking customer behavior.
Today, companies that do not collect and analyze big uae phone number list data seem to be oblivious to intricate processes in the market and therefore may be unable to determine future trends and make sound business decisions. Behavioral analytics is one of the many methods used by companies to interpret big data related to crowd behavior and measure the impact of global processes influencing the market.
behavioral_analyticsbehavioural_analytics
Types of behavioral data
Behavioral data is generated during user interactions with all of your business’ digital channels. Data includes information about: page views, email signups, website subscriptions, document downloads, communication with sales reps, login frequency, time spent, location, clicks, mouse movements, page scrolling, approved or declined card transactions, and more.
Unique user behavioral data allows the marketer to see in detail all the events that occurred during the customer's activity on the Internet. The data is always tied to the single end user, who can be known by name (logged in somewhere) or unknown and anonymous (not logged in anywhere).
The difference between data collected by Google Analytics and behavioral data collected elsewhere is just one: Google Analytics is used to track unique sessions, while behavioral analytics is used to track individuals. Behavioral analytics data is recorded in the form of an “event” accompanied by information about other “properties” of the occurrence.
There are many data sources that are of interest for behavioral analytics and these are: mobile apps, websites, gaming apps, retail websites, marketing automation systems, call centers, billing systems, help desks, and CRM systems.
We see that there are clearly at least several types of data, but three types are most often distinguished: recorded data, observed data, and data related to customer opinions:
Recorded data is all data related to an individual customer in CRM (Customer Relationship Management) systems. Such a system manages all interactions of the company with its current and potential customers and contains not only personal data, but a complete record of all actions (services, campaigns) directed at the customer by the company.
Observable data is all the data left by the customer during their typical journey on the Internet. Most customer reactions to different elements of websites can be examined, collected and analyzed accordingly to give some initial clues about the customer’s needs and expectations.
Customer feedback is all data collected directly from the customer in the form of surveys, questionnaires, site groups, workshops, emails and other forms of expressed statements. The customer may articulate their point of view reactively (in response to our actions) or proactively (without being asked).
Data collection and unification
The hardest part of collecting behavioral data is that all the important data can be found on many different, unconnected platforms. For example, financial data is stored on banking websites, surveys are processed through SurveyMonkey, social connections are viewed on Facebook and Twitter, advertising campaigns are on AdWords, while website analytics can be accessed on Google Analytics.
To avoid spending endless hours manually reconciling all this data, your marketing department should have at least one behavioral analytics platform in place. There are many options on the market, just to name a few: Amplitude, Mixpanel, Totango, Indicative, Alteryx or Woopra. With new applications of this type being developed every day, any marketer can find a solution that fits their needs. When all revenue and cost data is linked, true ROI can be estimated in real time.
Behavioral analytics is a new method of analysis used to evaluate the interaction between a customer and a web-based business. Behavioral analytics is used by industries such as e-commerce, gaming, and social media to achieve specific business goals, typically to maximize sales or increase customer retention.
Behavioral analytics is a subset of business analytics or data analytics. There are differences between these two approaches: business analytics is used to analyze past data using statistical methods, while behavioral analytics focuses on recording and tracking customer behavior.
Today, companies that do not collect and analyze big uae phone number list data seem to be oblivious to intricate processes in the market and therefore may be unable to determine future trends and make sound business decisions. Behavioral analytics is one of the many methods used by companies to interpret big data related to crowd behavior and measure the impact of global processes influencing the market.
behavioral_analyticsbehavioural_analytics
Types of behavioral data
Behavioral data is generated during user interactions with all of your business’ digital channels. Data includes information about: page views, email signups, website subscriptions, document downloads, communication with sales reps, login frequency, time spent, location, clicks, mouse movements, page scrolling, approved or declined card transactions, and more.
Unique user behavioral data allows the marketer to see in detail all the events that occurred during the customer's activity on the Internet. The data is always tied to the single end user, who can be known by name (logged in somewhere) or unknown and anonymous (not logged in anywhere).
The difference between data collected by Google Analytics and behavioral data collected elsewhere is just one: Google Analytics is used to track unique sessions, while behavioral analytics is used to track individuals. Behavioral analytics data is recorded in the form of an “event” accompanied by information about other “properties” of the occurrence.
There are many data sources that are of interest for behavioral analytics and these are: mobile apps, websites, gaming apps, retail websites, marketing automation systems, call centers, billing systems, help desks, and CRM systems.
We see that there are clearly at least several types of data, but three types are most often distinguished: recorded data, observed data, and data related to customer opinions:
Recorded data is all data related to an individual customer in CRM (Customer Relationship Management) systems. Such a system manages all interactions of the company with its current and potential customers and contains not only personal data, but a complete record of all actions (services, campaigns) directed at the customer by the company.
Observable data is all the data left by the customer during their typical journey on the Internet. Most customer reactions to different elements of websites can be examined, collected and analyzed accordingly to give some initial clues about the customer’s needs and expectations.
Customer feedback is all data collected directly from the customer in the form of surveys, questionnaires, site groups, workshops, emails and other forms of expressed statements. The customer may articulate their point of view reactively (in response to our actions) or proactively (without being asked).
Data collection and unification
The hardest part of collecting behavioral data is that all the important data can be found on many different, unconnected platforms. For example, financial data is stored on banking websites, surveys are processed through SurveyMonkey, social connections are viewed on Facebook and Twitter, advertising campaigns are on AdWords, while website analytics can be accessed on Google Analytics.
To avoid spending endless hours manually reconciling all this data, your marketing department should have at least one behavioral analytics platform in place. There are many options on the market, just to name a few: Amplitude, Mixpanel, Totango, Indicative, Alteryx or Woopra. With new applications of this type being developed every day, any marketer can find a solution that fits their needs. When all revenue and cost data is linked, true ROI can be estimated in real time.