Bluecore provides a retail technology platform that identifies anonymous shoppers and automates personalized marketing campaigns across email, site, SMS, and paid media using real-time behavioral data and predictive models. This approach increases customer retention and purchase frequency by delivering targeted communications that respond to individual shopping signals, resulting in measurable revenue growth for enterprise brands.
Funding
$263.2M 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.
NVFounders
Product
Problem
Many retailers struggle to identify anonymous website visitors and personalize marketing campaigns effectively, leading to missed opportunities for customer engagement and lost revenue. Traditional channel-led strategies often result in low customer retention and an over-reliance on bottom-funnel performance marketing.
Solution
Bluecore offers a retail-first technology platform that enables brands to identify a higher percentage of shoppers and automate personalized marketing campaigns across multiple channels, including email, site, SMS, and paid media. By connecting real-time behavioral data with a patented product catalog connection at the SKU level, Bluecore's AI models predict shopper intent and deliver 1:1 recommendations. This customer-led approach increases customer retention, purchase frequency, and overall revenue by delivering targeted communications that respond to individual shopping signals. The platform's ability to identify and re-identify traffic, combined with its predictive capabilities, allows retailers to create a more profitable customer base and drive both short-term revenue and long-term customer lifetime value.
Target Audience
Bluecore primarily targets enterprise retail brands and direct-to-consumer (DTC) companies seeking to improve customer retention, increase purchase frequency, and drive revenue growth through personalized marketing automation.
Features
- Advanced first-party identification capabilities to identify new traffic and re-identify existing traffic across devices.
- Real-time product catalog connection at the SKU variant-level (stock status, size, price, color).
- AI-powered predictive models for category affinity, discount affinity, next-best purchase, and at-risk buyers.
- Automated campaign workflows with hundreds of cross-channel triggers based on shopper behavior and product data.
- Conversational AI shopping assistant to increase customer engagement and sales.
- Transparent reporting on identification rates and trends, as well as performance by source and device.
- Customer Movement Assessment to identify high-priority growth opportunities within the customer base.