Breakout, a startup developing an AI Inbound SDR, announced the launch of “Blocks.” This new product line is designed to turn static website elements into AI-powered interfaces that personalize the user experience in real-time. Blocks are designed to convert website visitors into pipeline.
Customers’ Problem: The Wasted Opportunity of Inbound
Marketers invest heavily to bring buyers to their website. Visitors arrive with high intent, yet are met with static, one-size-fits-all experiences that fail to adapt to the buyer. SaaS median website conversion rates are <1%. This broken model costs companies valuable pipeline.
“Breakout transformed our website from a static brochure into our most effective pipeline generator,” said Vikas Aditya, CEO at HackerEarth. “We saw 21% of our pipeline come from Breakout in the last quarter.”
Breakout’s Solution: Dynamic Journeys with Blocks
Breakout solves this with Blocks – smart, atomic AI actions that adapt the website to every visitor in real-time. The platform turns a company’s existing marketing collateral – case studies, demos, videos, etc. – into a responsive layer that triggers an action to the visitor that’s most likely to convert them.
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“Websites are the one place where you have a buyer’s undivided attention, yet we offer a one-size-fits-none experience to all our buyers,” said Sachin Gupta, Breakout’s Co-founder and CEO. “We are giving marketers the tools to design intelligent, AI-powered conversion journeys on their own turf.”
How Blocks Work:
- Visitor identification – Breakout builds a 360° buyer profile from reverse-IP, UTMs, CRM data, & browsing behavior.
- Knowledge graph – Breakout searches through FAQs, case studies, sales call transcripts, & product docs and identifies the best content/next step for each visitor.
- Atomic actions – Whether it’s a rewritten headline, contextual case study, video recommendation, comparison guide against a competitor, calendar link, or human hand-off – Breakout renders the right action to each visitor.
- Feedback loop – Every click and scroll strengthens the knowledge graph and makes the recommendation system better.
SOURCE: Businesswire