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Tel Aviv-Yafo, Israel
11-50 Employees
2015
Infuse viisights' intelligent video analysis technology with other IOT sensors for reduced loss prevention, enhanced resource optimization, better work safety and tighter work-flow & environment control – with minimal false alerts. The company provides AI-powered behavioral recognition systems for safe and smart cities, enterprises, campuses, banks, financial institutions, critical infrastructures, transportation hubs, industrial/manufacturing facilities and for shared and autonomous mobility. A leader in behavioral analytics for a better, safer and secure world. Leading innovator of behavioral recognition for real-time video analytics. You will be working closely with the product team, sales teams, and other organizational functions across the globe. Manage design and production of collateral, product, and event presentations. Lead a SCRUM team of backend, frontend and QA team members to deliver end to end high quality working new features for the company’s product. Major part in Design of product architecture and features.
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BEHAVIORAL VIDEO ANALYTICS FOR EDUCATION CAMPUSES
... Making Schools Safe Havens for Education with Intelligent Behavioral Video Analytics ...
Uster, Switzerland
1-10 Employees
2003
Pascal Meier ist Managing Director und Digital Advisor bei Kamano – und Dozent.
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KAMANO.CH | Experten für Google, SEO & Growth Marketing
... Behavioral Analytics ...
New York, United States
11-50 Employees
Okay, there are a lot of "we knows" in that statement, but after 17 years, you pick up on some stuff... Analyze Behavioral Data andAdjust Tactics for Positive ROI. "The team at MDcentRx works fast. Before we knew it, we were engaging in profitable conversations with physicians regarding our drug...".
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MDcentRx
... Behavioral Analytics ...
Sydney, Australia
11-50 Employees
2021
The Sahha API integrates with the most wearables and health tracking devices. Sahha pulls data from wearables and smartphones through integrations with Apple Health, Android & Google devices, Oura Ring, Samsung, Garmin, Whoop, Peloton, Polar and more. Invisible, passive and automatic, Sahha operates in the background while keeping user data private and secure. The Sahha SDK passively captures device data through your app and sends it to be analyzed. The Sahha API integrates and pulls data from wearables and smartphones through integrations with Apple Health, Android & Google devices, Oura Ring, Samsung, Garmin, Whoop, Peloton, Polar and more.
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Detect User Mental Health Status via API | Sahha
... Behavioral Analytics Data as a ...
Charlotte, United States
1-10 Employees
2013
Turn your app into an ROI-focused performance marketing powerhouse. Our team has the cross-functional experitse of an elite in-house team. “James and his team are true growth experts and a pleasure to work with. They helped us scale up customer acquisition for Digit through a creative and analytical approach while meeting our performance goals. I’d highly recommend them to anyone looking for a trustworthy partner who can drive results.”.
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Capabilities | Layer One Growth
... Behavioral Analytics ...
Special Capital Region of Jakarta, Indonesia
11-50 Employees
2018
ALFABETA is an Indonesian-based Artificial Intelligence company focusing on providing tailored artificial intelligence solutions in computer vision and Internet of Things (IoT). We are committed to developing cutting-edge Artificial Intelligence-powered technology to provide solutions for larger society and companies across industries. Unilever Indonesia Partners with Alfabeta in Implementation of Artificial Intelligence. Alfabeta Launches Electronic Know Your Customer (e-KYC) Feature for Financial Sector. Taufiq Wibowo had amassed more than 10 years of experience in digital marketing field. As for now had an experience and focusing on operate product involving AI and machine learning. More than 1000 cameras has been implemented with Alfabeta artificial intelligence computer vision.
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BEHAVIORAL ANALYTIC
... Custom Behavioral Analytic ...
Waltham, United States
11-50 Employees
2015
Eliminate the worry of business email compromise (BEC) attacks and account takeover with the most comprehensive solution to identify and mitigate phishing attacks. Protect your organization from the time an email is received through each potential user action. With effectiveness well beyond native email security, stay protected against credential theft and malware incidents. Spot real threats using advanced threat intelligence to immediately detect and automatically respond. Review, remove and manage threats across the entire environment in seconds with profile-driven granular engagement and visual intelligence for risk data.
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Credential Theft Protection - GreatHorn
... Behavioral Analytics ...
Chicago, United States
11-50 Employees
2001
BHAP comes preloaded with hundreds of reports that once configured are delivered to a user at any level through a secure link in their inbox - with their and only their data. Provides a common language for all the different systems we work with. OA has been an essential partner in the work we are doing for the IL Department of Children and Family Services. They have provided outstanding technology solutions and support, and are much more nimble than state government IT. Our knowledge of AWS and Cloud tech is deep and we are always happy to talk about our journey with AWS.
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The OA Behavioral Health Analytics Platform (BHAP) guides clinicians yet provides powerful reporting
... The OA Behavioral Health Analytics Platform (BHAP) guides clinicians yet provides powerful reporting ...
London, United Kingdom
1-10 Employees
Anthrolytics PropensityLens is designed to predict the next likely behavior of customers and employees, using operational data that is resident within your organisation. We believe that any solution should achieve three things:. All delivered to the systems you use every day.
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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 ...
Gemeinde Schwechat, Austria
1-10 Employees
2018
The story of BehaviorQuant is as unique as the story of its founders. Among financial technology companies, BehaviorQuant stands out as truly distinct. We don’t just make existing transactions and processes faster and easier. For the first time ever, we enable you to objectively grasp the people and teams behind these transactions. BehaviorQuant gives you predictive knowledge of the asset managers, investors, clients, and customers you work with – and even about yourself and your own teams.
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Profit from Behavioral Analytics Today
... Profit from Behavioral Analytics ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Behavioral Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 128 |
| Amount of suitable service providers | 86 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2001 |
| Youngest suiting company | 2021 |
Behavioral analytics is a data-driven approach that examines the actions of users in a digital environment, such as websites, applications, or software platforms, to understand their behavior patterns. By collecting and analyzing data on how individuals engage with technology—clicks, navigation paths, time spent on pages, and interaction with various features—organizations can gain insights into user preferences, pain points, and overall engagement. This analysis enables businesses to optimize user experiences, tailor content, enhance functionalities, and improve product or service offerings to meet the users' needs more effectively. In the broader field, the impact of behavioral analytics extends to improving customer retention rates, boosting conversion rates, and driving personalized marketing strategies. By leveraging the power of behavioral data, companies can make data-informed decisions that not only enhance the user experience but also contribute to more strategic business outcomes, such as increased revenue and customer loyalty. Thus, behavioral analytics serves as a critical tool in the intersection of data science and user experience design, offering a comprehensive view of user engagement that helps shape more intuitive and responsive digital environments.
1. Enhanced User Experience
Behavioral analytics provides insights into how users interact with a platform, allowing developers to optimize navigation, content, and features based on actual user behavior. This tailored approach significantly improves the overall user experience, leading to higher engagement and satisfaction rates.
2. Precise Targeting
By understanding the specific behaviors and preferences of their audience, businesses can deliver highly targeted marketing campaigns. Behavioral analytics enables the segmentation of users based on their actions, leading to more personalized and effective marketing strategies that resonate well with the target audience.
3. Improved Conversion Rates
Identifying patterns and trends in user behavior helps businesses to streamline the conversion process. By adjusting strategies based on behavioral data, companies can reduce friction points, tailor their messaging, and optimize the user journey, resulting in higher conversion rates.
4. Better Product Development
Behavioral analytics offers actionable insights that inform product development. By analyzing how users interact with a product, companies can identify areas for improvement or innovation, ensuring that new features or updates directly address the users' needs and preferences.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Collection Capabilities
Ensure the supplier offers comprehensive data collection methods that capture a wide range of user behaviors across various platforms and devices.
2. Real-Time Analytics
The ability to analyze and report data in real-time is crucial for timely decision-making and effective behavioral targeting.
3. Privacy Compliance
Verify that the supplier's solutions are compliant with global privacy regulations such as GDPR and CCPA, ensuring user data is handled ethically and legally.
4. Integration Flexibility
Look for suppliers that offer easy integration with your existing tools and platforms to ensure seamless data flow and analysis.
5. Customization Options
The supplier should provide customizable analytics options to meet the specific needs of your business, allowing for tailored insights and reports.
6. User Segmentation
Effective user segmentation capabilities are essential for detailed behavioral analysis, enabling targeted marketing strategies and improved user experience.
7. Support and Training
Ensure the supplier offers comprehensive support and training resources to help your team maximize the benefits of the behavioral analytics tool.
Behavioral analytics plays a pivotal role in understanding customer interactions within software as a service (SaaS) platforms. By analyzing user actions, companies can identify common pain points and areas for improvement, leading to enhanced user experiences and increased customer satisfaction. This insight is crucial for product development teams aiming to iterate on their offerings effectively. In the e-commerce sector, behavioral analytics is instrumental in optimizing the buyer's journey. By examining how businesses interact with online platforms, companies can tailor their marketing strategies, personalize recommendations, and improve conversion rates. This data-driven approach enables e-commerce platforms to align their offerings more closely with their B2B customers' needs, fostering loyalty and encouraging repeat business. For B2B marketers, behavioral analytics offers a wealth of opportunities to refine campaign strategies. By understanding how businesses engage with content across various channels, marketers can craft more effective campaigns that resonate with their target audience. This can lead to higher engagement rates, improved lead quality, and ultimately, a better return on investment for marketing efforts. In the realm of cybersecurity, behavioral analytics aids in the early detection of anomalous activities that could signify security threats. By monitoring unusual behavior patterns within an organization's network, security teams can swiftly identify and mitigate potential risks, protecting sensitive data and ensuring business continuity.
Behavioral analytics, a field that leverages data analysis and machine learning to understand and predict user behaviors, currently sits at a high Technology Readiness Level (TRL) of 8 to 9. This classification is due to its extensive validation in real-world settings and its integration into operational environments, particularly within sectors like e-commerce, cybersecurity, and personalized marketing. The ascent to this TRL can be attributed to significant advancements in data collection methodologies, the evolution of machine learning algorithms, and the increased processing power available for handling large datasets. These technical milestones have enabled the accurate analysis of vast amounts of behavioral data in real-time, leading to predictive capabilities that are both sophisticated and reliable. Furthermore, the development of user-friendly platforms for data analytics has democratized access to behavioral analytics tools, allowing a broader range of businesses to implement these technologies effectively. The integration of behavioral analytics into existing systems has been facilitated by APIs and cloud-based solutions, ensuring seamless operation within diverse IT ecosystems. This level of technical maturity and integration underscores its position at the higher end of the TRL spectrum, reflecting both its proven effectiveness and the broad acceptance of its applications across industries.
In the Short-Term, advancements in behavioral analytics are expected to focus on enhancing real-time data processing capabilities. The integration of machine learning algorithms will become more sophisticated, allowing for immediate interpretation of consumer behavior. This will enable businesses to offer personalized experiences and make quicker, data-driven decisions. The development of more intuitive dashboards and user interfaces will also streamline the analysis process, making complex data more accessible to marketers and business strategists. Moving into the Mid-Term phase, the emphasis will shift towards predictive analytics and the incorporation of AI to forecast future behaviors based on past patterns. This period will witness the emergence of more complex models that can predict consumer trends with higher accuracy. The integration of behavioral analytics with IoT devices will provide a richer dataset, thereby enhancing the precision of predictions. This convergence will allow for a deeper understanding of consumer habits in both digital and physical spaces, facilitating more targeted marketing strategies. In the Long-Term, the focus will be on the ethical use of behavioral analytics and the development of regulations to protect consumer privacy. As technology becomes more ingrained in daily life, ensuring the responsible use of data will be paramount. Advanced anonymization techniques will be developed to protect user privacy while still providing valuable insights. Additionally, we can expect the rise of decentralized analytics platforms, which will give users more control over their data. These platforms will likely leverage blockchain technology to ensure transparency and security in data handling, marking a significant shift in how behavioral data is collected and used.
