{"id":4431,"date":"2022-01-28T12:43:56","date_gmt":"2022-01-28T12:43:56","guid":{"rendered":"http:\/\/empmonitor.com\/blog\/?p=4431"},"modified":"2025-11-17T17:19:15","modified_gmt":"2025-11-17T11:49:15","slug":"behavior-analytics-top-applications-2022","status":"publish","type":"post","link":"https:\/\/empmonitor.com\/blog\/behavior-analytics-top-applications-2022\/","title":{"rendered":"Behavior Analytics- Top Applications 2022"},"content":{"rendered":"

Before learning about the uses of<\/span> behavior analytics<\/strong> in various fields, let us first briefly understand what is user behavior analytics and what is behavior analytics?\u00a0<\/span><\/em><\/p>\n

User behavior Analytics(UBA)\/ User and Entity Behavior Analytics(UEBA)<\/strong><\/p>\n

UBA<\/strong> is a cybersecurity technology that traces a system\u2019s users to identify targeted attacks, insider threats, and financial fraud by applying monitoring tools before a data breach, facilitating threat detection and constant risk assessment without clogging the end-user experience.\u00a0<\/span><\/p>\n

It relies on automated examination of big data to recognize and stop potential cyberattacks in real-time. Big data platforms are increasing UBA functionality by analyzing petabytes worth of data to discover advanced persistent threats.<\/span><\/p>\n

What is Behavior Analytics?<\/strong><\/p>\n

Behavior Analytics or behavioral data analytics<\/strong> is a part of data analytics\/ business analytics that accumulates relevant insights into the user behavior on eCommerce platforms, web, mobile applications, online games, and IoT.\u00a0<\/span><\/p>\n

It focuses on recognizing opportunities for optimizing and realizing targeted business goals.<\/span><\/p>\n

Digital behavior analytics<\/strong> recognize consumer behavior to deliver accurate predictions about their behavior for advertising their products and services for successful conversions at the best time.<\/span><\/p>\n

It enables marketers to make the right offers to the right consumer segments at the right time.<\/span><\/p>\n

The most constraining question on a product manager\u2019s mind is, \u201c are people using my product?\u201d and vanity metrics like daily active users and sessions are not dependable references to answer this question.<\/span><\/p>\n

Understanding<\/span> behavior analytics<\/em> is essential to strengthening engagement, retention, conversion rates, lifetime value, including revenue.<\/span><\/p>\n

This thorough analysis to understand the impact of your business decision is behavioral analysis.<\/span><\/p>\n

Customer-centric teams use <\/span>customer behavior analytics<\/strong> for their product decisions and strategy to gain insights into their user\u2019s challenges.<\/span><\/p>\n

Events are the building blocks of this behavioral analysis that unravels how customer engagement impacts retention, conversion, and revenue.<\/span><\/p>\n

Events represent any activity associated with the user.<\/span><\/em><\/p>\n

Sending optimal event data to your analytics platform is the most crucial step in learning how your users are engaging with your product.<\/span><\/p>\n

Remember, implement your analytics carefully to get the best value of your data.<\/span><\/p>\n

Start off analyzing the right way-<\/strong><\/em><\/p>\n

How to Start Using Behavior Analytics the Right Way<\/b><\/h2>\n

\"how-to-analyze-behavior-analytics\"<\/a><\/p>\n

1. Define your Business and Analytics<\/b><\/h3>\n

Plan the business objectives that you want to achieve.<\/span><\/p>\n

Establish the key performance metrics (KPIs)you need to focus on, like- increase onboarding conversion, increasing retention for paying customers or increase in checkout funnel conversion<\/span><\/p>\n

Before starting data taxonomy, define KPIs to send an accurate event to the best project for KPI tracking.<\/span><\/p>\n

2. Map Out Critical Paths in Alignment with Your Goals.<\/b><\/h3>\n

Critical paths are a sequence of actions a user takes that align with your product\u2019s purpose.\u00a0<\/span><\/p>\n

For an e-Commerce Product-<\/strong><\/p>\n

Search \u2192 Browse Products \u2192 Add to Cart \u2192 Checkout \u2192 Order Confirmation<\/span><\/em><\/p>\n

For a Gaming App-<\/strong><\/p>\n

A critical path is when a user opens the app and registers for a gaming tutorial.<\/span><\/p>\n

Four distinct events in onboarding flow for gaming app will be-<\/span><\/p>\n

user opens app >> user registers >> user verifies account >> user completes tutorial<\/span><\/em><\/p>\n

You can break this path into a series of events like-<\/b><\/p>\n

\u00a0\u2018App Open\u2019, \u2018Registration \u2013 Personal Info Populated\u2019, \u2018Registration \u2013 Avatar Selected\u2019, \u2018Registration \u2013 Complete\u2019, \u2018Game Tutorial \u2013 Started\u2019, and \u2018Game Tutorial \u2013 Watched\u2019.<\/span><\/em><\/p>\n

Make sure to track events answering your business and analytics goal, and add \/update more events later as the goals evolve.<\/span><\/p>\n

3. Understand User Identification Process<\/b><\/h3>\n

Most analytics platforms require configuration with some identifier\u2013 a username or email to match data from multiple devices and sessions to one user.<\/span><\/p>\n

Hence, the user ID must remain constant.<\/span><\/p>\n

Another important aspect is when a user signs in, most of the analytics count unique users when they \u2018see\u2019 a new device or a new user ID.<\/span><\/p>\n

A challenge arises when a device \u2018anonymously\u2019 logs an event performed by a user already in the system.<\/span><\/p>\n

4. Decide on Cross-Platform Behavior Analytics<\/b><\/h3>\n

Should you tie your data together or separate it on multiple platforms?<\/span><\/p>\n

Answer this before moving ahead!<\/span><\/p>\n

Make sure your analytics solution can implement cross-platform instrumentation if you aim to understand user behavior across the entire journey.<\/span><\/p>\n

If you\u2019re expecting different behavior across platforms, cross-platform instrumentation should not be a priority.<\/span><\/p>\n

5. Establish the \u2018Minimum Viable Instrumentation\u2019<\/b><\/h3>\n

Once you set up your analytics and organize your events, it\u2019s time to start accessing basic app metrics.\u00a0<\/span><\/p>\n

You should now integrate analytics solution\u2019s mobile SDK or HTTP API and assign user IDs.<\/span><\/p>\n

6. Track Events<\/b><\/h3>\n

Start tracking the events and critical paths.<\/span><\/p>\n

You don\u2019t have to track every action in your app, but track events that are necessary steps in onboarding, conversion, and retention.<\/span><\/p>\n

7. Set user properties and event properties.<\/b><\/h3>\n

Assigning user properties and event properties is vital for gaining profound acumen into customer behavior.<\/span><\/p>\n

A user property describes attributes of a person using your app (e.g. age, gender, location).\u00a0<\/span><\/p>\n

An event property describes a property of an event (e.g. how long someone performs the event).<\/span><\/p>\n

8. Verify whether Events are Properly Tracked<\/b><\/h3>\n

To verify if you have implemented everything accurately, use a test device to progress through the app.<\/span><\/p>\n

If you can view your analytics in real-time, you should see the device firing events at every step.<\/span><\/p>\n

Once your test data works, start sending live data.<\/span><\/p>\n

9. Start User Behavior<\/b><\/h3>\n

Instrumenting user behavior events is a meaningful investment in giving your team access to the data they need to measure the impact of product decisions. Start your journey for more successful decisions.<\/span><\/p>\n

Behavior Analytics Usage<\/b><\/h3>\n

In Cybersecurity<\/b><\/h3>\n

\"behavior-analytics-in-cybersecurity\"<\/a><\/p>\n

Behavior analytics<\/strong> is user and entity behavior analytics or<\/span> UEBA<\/strong> in<\/span> cybersecurity<\/strong>.<\/b><\/p>\n

UEBA<\/strong> can sift through an entire organization\u2019s data to generate high-quality leads for security analysts to estimate for saving time and money.\u00a0<\/span><\/p>\n

UBA<\/b> keeps a close watch on activities performed- from apps used to network activity and most critical files accessed, everything gets tracked regardless of whether the activities are coming from an insider, hacker, or even malware.<\/span><\/p>\n

Cybersecurity<\/strong> uses rule-driven((an important part of a layered analytics security approach) frameworks to detect possible cyber threats.<\/span><\/p>\n

Behavior analytics<\/span><\/em> practices complex machine learning algorithms to parse user and entity data across an enterprise and discover unexpected behavior pointing to a potential security breach.<\/span><\/p>\n

Although UBA won\u2019t thwart hackers from going inside your system, it can depreciate the damage by warning the security department of any abnormal behavior exhibited by employees<\/a>.<\/span><\/p>\n

One of the most beneficial applications of behavioral analytics in cybersecurity is recognizing insider threats from employees, detecting APTs(advanced persistent threats which facilitate escaping triggering rules for persistence in access), and detecting zero-day attacks. Zero-day attacks are new attacks that haven’t been used before and have no rules written to detect them.<\/span><\/p>\n

Threat detection and data leak prevention is the prime precedence of all organizations considering the immediate remote work situation, and otherwise also.\u00a0<\/span><\/p>\n

These are the gist concerns of cybersecurity of every organization.\u00a0<\/span><\/p>\n

As employees have passage to sensitive information, defense rules are often not triggered.\u00a0<\/span><\/p>\n

EmpMonitor<\/strong> has attained prominence in recent years for being the preeminent <\/span>employee management software<\/strong> empowering employers to detect insider threats and malicious trespassers.<\/span><\/p>\n

\"empmonitor\"<\/a><\/p>\n

To protect vital data and intellectual properties such as customer information, financial data, credit card, and other vital pieces of information, EmpMonitor has come up with more clever detection and tracking capabilities than earlier.<\/span><\/p>\n

Some Key Features-<\/strong><\/p>\n