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Description

Gain a comprehensive insight into how your digital advertising expenditures are influencing your physical store profits. Evaluate the offline effectiveness of your online marketing initiatives and discover the extent to which they contribute to tangible sales in the real world, including key details about timing, location, and frequency. Let's cut to the chase: the value of your data is significantly enhanced when it provides clear insights. Leverage our extensive suite of analytical metrics, which includes cross-channel correlations, audience segmentation, and tailored recommendations. We aggregate information from diverse sources to address the fundamental marketing inquiry—what is the return on investment? With Hyllo, both CMOs and marketing directors can rest assured knowing exactly where their advertising budgets are yielding the highest returns in actual sales. Our Predictive Analytics platform is designed for seamless integration and offers precise metrics derived from all your omnichannel data, enabling informed decision-making that drives results. This powerful tool allows businesses to make strategic adjustments in real time, ensuring optimal performance of their marketing efforts.

Description

Sleep.ai is an innovative platform driven by artificial intelligence that offers sleep intelligence solutions tailored for organizations and digital products, aiming to seamlessly incorporate scientifically supported sleep insights, analytics, and enhancement tools into their offerings. Utilizing one of the largest sleep datasets globally, encompassing hundreds of millions to almost a billion hours of actual sleep data alongside extensive clinical research that supports its algorithms, it provides an exceptionally precise and dependable analysis of sleep behaviors. The platform offers a range of APIs and SDKs, enabling businesses to integrate real-time sleep monitoring, customized suggestions, and behavioral insights into their health applications, wellness services, and smart devices. Notably, a significant aspect of Sleep.ai is its capacity to assess and analyze sleep without the need for wearable devices, leveraging smartphone-based technology to monitor sleep-wake cycles, movement, and environmental factors with minimal input from users. This approach not only enhances user convenience but also broadens the accessibility of sleep research to a wider audience, making it easier for individuals to understand and improve their sleep quality.