DashLX utilizes zero-party data from multiple wearable technologies and ambient sources to create a comprehensive view of consumer behavior in real-time. This approach enables brands to deliver personalized marketing messages and product recommendations, enhancing customer engagement and driving loyalty while improving marketing ROI by up to 30%.
Funding
$6.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Brands struggle to understand how customers use their products in real-world contexts, limiting their ability to deliver personalized marketing and improve product design. Traditional market research methods are often limited in scale and rely on potentially inaccurate recall data. This lack of real-time, contextualized data hinders effective customer engagement and product innovation.
Solution
DashLX provides a platform that captures zero-party data from wearable devices and ambient sources, offering brands a comprehensive view of customer behavior in real-time. This approach enables the delivery of personalized marketing messages and product recommendations triggered by real-world activities and locations. By understanding how customers actually use products, brands can optimize marketing campaigns, enhance customer loyalty, and gain insights for product development. The platform facilitates building relationships with customers by delivering relevant and timely messages based on their specific context.
Target Audience
The primary target audience includes brand marketers, loyalty program managers, and product innovation teams in industries such as apparel, footwear, and consumer goods.
Features
- Real-time data capture from wearable devices (e.g., fitness trackers, smartwatches) and smartphone sensors
- Location-based triggers for personalized messaging based on proximity to specific locations
- Activity-based triggers for personalized messaging based on detected activities (e.g., running, yoga)
- Integration with weather and environmental data to provide contextual insights
- Opt-in data collection ensures compliance and respects user privacy
- Segmentation tools to identify and target specific customer groups based on behavior and preferences
- API for integration with existing marketing automation and CRM systems
- Analytics dashboard to visualize product usage patterns and marketing campaign performance