What problem does Tailo solve for retail businesses?
Tailo addresses the issue where potential customers leave a website before engaging with a sales representative. It turns website visitors into booked meetings by providing personalized, interactive product demos and qualifying conversations 24/7, solving the problem of forms that create wait times and static pages that cannot answer specific questions.
What does Tailo offer in terms of features and capabilities?
Tailo offers an AI decisioning layer that connects to existing systems without migration, decides the next best action per customer using AI, and measures incremental revenue against holdout controls. It includes features like live interactive demos, personalized micro-demos, pricing walkthroughs, and qualifying conversations on the website.
What results or outcomes does Tailo claim to deliver for its users?
Tailo's website states that teams it has worked with are seeing a 32% increase in incremental revenue versus a matched control group, an 18% reduction in discount waste over 4 months, and that its revenue measurement is 2.4 times more reliable than traditional attribution reporting.
What is Tailo used for and in what situations?
Tailo is used as an AI decisioning layer for retail customer value. It reads customer data from existing systems (like CDP, CRM, loyalty platforms) to decide the next best action for each individual customer, such as who to reach, what to offer, and when. It is used to personalize every customer message and prove the incremental revenue it drives.
Who is Tailo designed for?
Tailo is designed for retail and ecommerce brands. The product was built by a team with experience at retail and ecommerce brands across Europe, Middle East, Africa and Asia.
What is Tailo?
Tailo is an AI decisioning layer for retail customer value. It connects to a retailer's existing CRM, CDP, and loyalty stack to personalize every customer message and prove the incremental revenue it drives.