Qualified's AI Conversational Marketing platform helps sales teams engage high-value website visitors in real-time, personalized sales
conversations, right on the website. With Qualified, our customers can leverage an AI SDR (sales development representative) to ask qualification questions to website visitors, capture leads or book sales meetings; then fast-track hot prospects, open opportunities, and target accounts to live sales conversations.
The result is creating more sales meetings and more pipeline. Qualified is purpose-built for companies that run on Salesforce, and is on the
Salesforce AppExchange (passing the Salesforce ISV Security Review). The Qualified offering includes chat (live and AI), meetings booking, offers, email, forms, smart buttons, and signals.
A 5-min product overview is available here: qualified.com/ai-sdr?play=piper-aug and a full overview of our product is available here: https://www.qualified.com/piper-demo-day#
The Qualified app has two main components, widgets that run on our customer's websites and allow our customers to interact with their website visitors, and an admin console that is used to configure chatbot and AI SDR experiences, form experiences, offers, routing, etc. The admin console is also used by chat users to interact with customers on their website directly.
The "widget" is the Javascript a company installs to their website. "Visitors" to the website see experiences configured by admins and can talk to reps (either live or AI) that are logged into the "console" and set to available. We've set up a test website at https://team-ojwa63madn5nq72oaosk5wi6kgg5cslcbues6dq.qualified-private-test.com/?s=0 that loads the qualified.js widget snippet for the test company. Please note, the test website itself is out of scope for the purposes of our bounty program, the widget however is in scope.
The "console" is what the reps and/or the site admin login to. Available for testers at https://app.qualified-dev.com/live
Our application runs on Ruby on Rails backend, postgres database, ClickHouse database, react front end utilizing graphql, rest and websockets.