Sell & Tell provides an analytics engine for eCommerce that captures shopper hesitation moments that traditional tools miss, turning silent abandonment into actionable “why” data. By listening to hesitant shoppers in real time, it generates a ranked playbook of specific prompts and interventions that can convert indecision into sales. The platform integrates with existing tools, delivering concrete insights on what would make a shopper say yes.
Funding
Funding not disclosed
Founders
Product
Problem
eCommerce sites can track which products are purchased, but they lack insight into why shoppers abandon their carts, leaving a large portion of potential sales unexplained.
Solution
Sell & Tell adds a “why engine” to online stores that engages hesitant shoppers with targeted, context‑aware questions at the moment they consider leaving. The platform records their responses in real time, turning qualitative hesitation data into a ranked playbook of actionable insights. Merchants can use this playbook to address specific objections—such as price, shipping, or product information—directly within their existing checkout flow or marketing campaigns, thereby reducing abandonment and improving conversion without relying on guesswork.
Target Audience
Primary customers are online retailers and eCommerce managers who need deeper insight into cart abandonment drivers to optimize conversion rates.
Features
- In‑site, non‑intrusive question prompts that appear when shopper behavior indicates hesitation
- Real‑time collection of shopper feedback that is not captured by traditional analytics tools
- Automated ranking algorithm that prioritizes the most common objections across the site
- Playbook export that provides clear, actionable recommendations for copy, pricing, or UX adjustments
- Easy integration via JavaScript snippet or API to work with any eCommerce platform or existing analytics stack