Siren deploys AI agents that engage customers in the critical 30-day window after purchase, turning transactional checkouts into ongoing, one-to-one conversations. The agents capture zero-party data in customers' own words, structured at the SKU level alert level, and feed it back into existing business systems to protect and grow revenue. This post-purchase intelligence layer creates a continuous feedback loop that builds loyalty and drives repeat orders.
Funding
Funding not disclosed
Founders
Product
Problem
The 30 days following a purchase are the highest-stakes window in the customer lifecycle, yet most businesses treat checkout as the finish line. Post-purchase engagement has never scaled to a one-to-one level, leaving the silent majority of shoppers without relationship-building touchpoints and turning a critical loyalty-building period into missed revenue and intelligence opportunities.
Solution
Siren deploys AI agents that engage every customer after checkout, opening a personal conversation thread the moment an order is placed. These agents act in the brand's voice, transforming shipping updates into relationship touchpoints, checking in when the product arrives, and keeping the thread open to drive subsequent purchases. Each interaction is converted into structured, machine-readable data—capturing customer and product intelligence at the SKU and shopper level—and fed back into existing business systems. This creates a continuous, compounding source of zero-party data and retention growth that scales one-to-one relationships to every customer.
Target Audience
Primary customers are e-commerce and omnichannel retail businesses seeking to reduce post-purchase churn, increase repeat purchase rates, and capture granular customer intelligence to inform product and marketing decisions.
Features
- AI agents that initiate personalized post-purchase conversations in the brand's voice from day 0 through day 30 and beyond
- Proactive check-ins timed around delivery and first-use moments to mirror in-store associate behavior
- Conversion of every conversation into structured, machine-readable data at the SKU and shopper level
- Zero-party data capture in the customer's own words, creating a new intelligence source
- Feedback loop into existing business systems (CRM, analytics, etc.) to inform retention and growth decisions
- Scalable one-to-one relationship architecture designed for internet-scale commerce