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Top Behavioral Analytics Companies

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60 companies for Behavioral Analytics

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Optimal Strategix Group's Logo

Optimal Strategix Group

Reilly Township, United States

B

101-250 Employees

2008

Key takeaway

OSG emphasizes the importance of understanding individual customer behavior and motivations to drive business growth. Their customizable solutions and industry-leading technology focus on behavioral analytics, helping clients predict customer decisions and enhance engagement.

Reference

Core business

Behavioral Analytics Predicting Customer Behavior | OSG

Uncover how and why your customers make decisions with our industry-leading technology that analyzes behavioral analytics and consumer behavior.

Exabeam's Logo

Exabeam

Foster, United States

B

501-1000 Employees

2013

Key takeaway

Exabeam utilizes behavioral analytics to establish a baseline of normal user and device behavior, enabling the detection and prioritization of anomalies based on risk. This approach is essential for enhancing security operations and effectively responding to cyber threats.

Reference

Product

Behavioral Analytics - Exabeam

Behavioral analytics baseline the normal behavior of users and devices with histograms, to detect, prioritize, and respond to anomalies based on risk.

Mouseflow's Logo

Mouseflow

Copenhagen, Denmark

A

11-50 Employees

2010

Key takeaway

Mouseflow is dedicated to providing best-in-class behavior analytics, offering real user insights that reveal how customers interact with websites. Their commitment to privacy and compliance with data laws ensures that users can optimize their digital strategies effectively and securely.

Reference

Product

Behavior Analytics - Improve Your Website With Mouseflow

Optimize your website and start increasing conversions. Real user insights show you how customers interact with your website.

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Analytics Logic's Logo

Analytics Logic

Vienna, United States

B

1-10 Employees

2014

Key takeaway

Analytics Logic specializes in uncovering valuable insights from your digital assets, enabling faster and more informed decision-making. Their expertise in digital analytics, particularly for federal government clients, highlights their capability to transform complex data into actionable intelligence.

Reference

Service

Services Archive - Analytics Logic

Anthrolytics Ltd's Logo

Anthrolytics Ltd

London, United Kingdom

A

1-10 Employees

-

Key takeaway

Anthrolytics PropensityLens offers predictive behavioral analytics that identifies the next likely behaviors of customers and employees by analyzing operational data within an organization. Their AI-driven solution assesses interactions to forecast emotional profiles and behaviors, which can help predict customer purchasing patterns and employee retention risks.

Reference

Core business

Anthrolytics | Predictive Behavioral Analytics

Anthrolytics Predictive Behavioral Analytics Solution predicts the next likely behavior of every customer or employee, every day. Its patent pending AI assesses every significant interaction, predicting an emotional profile and next likely behavior. This can predict which customers will buy more, buy less, or churn. For employees it can predict who is likely to resign, who is likely to take unplanned absence and which employees are heading towards burnout.

Snoobi Technology BV - online analytics solutions's Logo

Snoobi Technology BV - online analytics solutions

Amsterdam, Netherlands

A

1-10 Employees

2008

Key takeaway

Snoobi offers advanced behavioral analytics that allows users to analyze engagement and navigation patterns on their portals or SharePoint® sites, providing valuable insights into traffic sources and customer activities. This capability enables organizations to measure the effectiveness of their online channels and allocate resources more effectively.

Reference

Product

Advanced analytics - Snoobi

ACTIVE ANALYTICS LTD.'s Logo

ACTIVE ANALYTICS LTD.

Hereford, United Kingdom

A

1-10 Employees

-

Key takeaway

Active Analytics specializes in providing analytical solutions and training in statistics and machine learning, which are essential components of behavioral analytics. They collaborate closely with clients to ensure that the analytical applications developed effectively meet their specific needs, enhancing decision-making through data-driven insights.

Reference

Core business

Active Analytics Ltd - About

Truemetrics's Logo

Truemetrics

South Pasadena, United States

B

11-50 Employees

2006

Key takeaway

The company offers expert data solutions that provide a deep understanding of customer interactions and conversion rates, making it a trusted leader in digital analytics since 2006.

Reference

Service

Reporting & Analytics

Convizit's Logo

Convizit

Tel-Aviv, Israel

B

11-50 Employees

2017

Key takeaway

Convizit's AI-driven Digital Experience Data Platform transforms the collection and utilization of user behavior data by automatically capturing and enriching user interactions. This allows businesses to effortlessly access and integrate rich behavioral data into their analytics tools, enhancing their ability to generate insights and drive value from user behavior.

Reference

Product

AI-driven Automatic Behavioral Data Capture | Convizit

Convizit is an AI-driven data-as-a-service solution that automatically captures user events and sends this rich behavioral data to your platforms of choice.

Entent Digital Intelligence's Logo

Entent Digital Intelligence

-

1-10 Employees

2019

Key takeaway

Entent's FlowStream™ offers comprehensive behavioral analytics by automatically capturing every user interaction, from page load to mouse hovering, without disrupting site performance. This enables teams to gain insights into visitor quality and intent, enhancing conversion rate optimization (CRO) and marketing strategies.

Reference

Core business

Behavioral Inteligence for CRO Program & Marketing Optimization

Enable behavioral analytics for your online business. Allow your team to understand quality & intent of each visitor and every marketing optimization


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Things to know about Behavioral Analytics

What is Behavioral Analytics?

Behavioral analytics focuses on understanding user behavior through the collection and analysis of data generated by users' interactions with a product or service. This form of analysis helps organizations identify patterns, preferences, and trends in user activity, enabling them to tailor experiences, improve engagement, and drive conversions. By leveraging various tools and technologies, businesses can gain insights into how users navigate their websites or applications. These insights provide valuable information for optimizing user interfaces, personalizing content, and enhancing overall customer satisfaction. The integration of behavioral analytics can significantly impact marketing strategies and product development, leading to more informed decisions based on user feedback and behavior.


How does Behavioral Analytics improve user experience?

Behavioral analytics enhances user experience by providing insights into how users interact with products or services. By analyzing patterns in user behavior, companies can identify pain points and optimize their offerings accordingly. This data-driven approach allows for personalized experiences, as businesses can tailor content, recommendations, and features to meet the specific needs of their users. In addition, behavioral analytics enables real-time adjustments to user interfaces. By understanding where users struggle or succeed, companies can make informed design changes that lead to smoother navigation and increased satisfaction. Ultimately, leveraging behavioral analytics fosters a more engaging and relevant experience for users, driving higher retention and loyalty.


What are the key components of Behavioral Analytics?

1. Data Collection
Behavioral analytics relies on the systematic gathering of data from various user interactions. This includes tracking clicks, page views, time spent on pages, and actions taken within applications. The data can come from websites, mobile apps, and other digital platforms.

2. Data Analysis
Analyzing the collected data is crucial for understanding user behavior patterns. Advanced algorithms and machine learning techniques are often employed to identify trends and insights, which help in interpreting user actions and predicting future behavior.

3. User Segmentation
Effective behavioral analytics involves segmenting users based on their interactions and characteristics. This segmentation enables businesses to tailor their marketing efforts and improve user experiences by addressing specific needs or preferences of different groups.

4. Visualization Tools
Visualization tools play a vital role in presenting data in an easily digestible format. Dashboards and reports help stakeholders understand complex data through graphs, charts, and heat maps, facilitating better decision-making.

5. Actionable Insights
The ultimate goal of behavioral analytics is to derive actionable insights that drive business strategies. By understanding user behavior, companies can optimize their products, enhance customer engagement, and improve conversion rates.


How can Behavioral Analytics benefit businesses?

Behavioral analytics offers significant advantages for businesses aiming to enhance their understanding of customer interactions. By analyzing user behavior, companies can identify patterns and trends that reveal how customers engage with their products or services. This insight allows for more personalized marketing strategies, ultimately improving user experience and increasing customer satisfaction. Furthermore, leveraging behavioral analytics can lead to better decision-making. Businesses can optimize their offerings based on real-time data, making adjustments that align with customer preferences. This data-driven approach not only boosts conversion rates but also fosters long-term customer loyalty by addressing their needs effectively.


What tools are commonly used in Behavioral Analytics?

1. Web Analytics Tools
These tools track user behavior on websites, providing insights into visitor interactions, page views, and traffic sources. Popular options include Google Analytics and Adobe Analytics.

2. Heatmap Software
Heatmaps visually represent user behavior on a page, showing where users click, scroll, or hover. Tools like Hotjar and Crazy Egg are widely used for this purpose.

3. Session Replay Tools
These tools allow businesses to replay user sessions to understand navigation patterns and identify pain points. Examples include FullStory and Smartlook.

4. Customer Feedback Tools
Incorporating user feedback can enhance behavioral analytics. Tools like Qualaroo and SurveyMonkey gather direct insights from users about their experience.

5. A/B Testing Tools
A/B testing tools help analyze user behavior by comparing different versions of web pages or features to determine which performs better. Optimizely and VWO are common choices.


Insights about the Behavioral Analytics results above

Some interesting numbers and facts about your company results for Behavioral Analytics

Country with most fitting companiesUnited States
Amount of fitting manufacturers7321
Amount of suitable service providers5656
Average amount of employees11-50
Oldest suiting company2006
Youngest suiting company2019

Geographic distribution of results





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Frequently asked questions (FAQ) about Behavioral Analytics Companies

Some interesting questions that has been asked about the results you have just received for Behavioral Analytics

Based on our calculations related technologies to Behavioral Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Behavioral Analytics are IT, Software and Services, Marketing Services, Other, Consulting, Healthcare

ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.

Related categories of Behavioral Analytics