Agentic Enterprises can now incorporate Real-time Buyer Probability Scores, Buyer Context Briefs and a Revenue Loop into existing GTM platforms and AI agents.
-- Lift AI has introduced Website Buyer Context, a real-time prediction of how likely each website visitor is to buy. It is designed to help AI agents and go-to-market (GTM) teams decide which website visitors to prioritize and how to treat them, including known and anonymous visitors.
More information is available at https://lift-ai.com/
Many organizations still struggle to turn AI-powered GTM investments into consistent business outcomes. Fragmented data, disconnected workflows and incomplete buyer context limit the quality of the two core decisions AI agents must make about every prospect: which prospects to prioritize and how to treat them.
“AI agents are only as effective as the context they receive. Without accurate context, AI scales noise,” said Don Simpson, Founder and CEO of Lift AI. “Every website visit reveals buying behavior, even from anonymous visitors. We built Lift AI to turn that behavior into an accurate prediction of who will buy.”
To interpret website behavior, Lift AI uses a pre-trained machine-learning model built on more than 15 years of buyer journey data, billions of website visits and millions of commission-audited sales outcomes, according to the company. The model analyzes hundreds of micro-behaviors across every website visitor in real time, producing a Buyer Probability Score from 0 to 100 that predicts how likely each visitor is to buy. Visitors are segmented into low, mid and high-probability audiences.
Lift AI is designed to work with an organization’s existing GTM stack without replacing existing systems. It delivers the Score and a Buyer Context Brief, which recommends how to treat each visitor, through CRM fields, API and MCP. When outcome data is connected, its Revenue Loop grades each prediction against the pipeline and revenue that follow.
According to the company, RealVNC applied Buyer Probability to all three GTM decisions. On its website, Buyer Probability-driven chat and pop-up prompts increased chat conversions 71%, pop-up click-through 94% and web-shop revenue 13% within 60 days. In sales, 1,476 returning high- and mid-probability contacts who never filled out a form generated 2.3x the revenue of all 9,148 low-probability form fills. In advertising, RealVNC increased retargeting frequency for high-probability website visitors, which increased lead volume 200% and reduced cost per lead by 67%.
About Lift AI
Originally developed to improve the performance of a commission-based sales organization, Lift AI's technology is built on more than 15 years of outcome-labeled sales data, billions of website behavioral data points, and millions of audited sales transactions. Today, organizations use Lift AI to transform Website Buyer Context into actionable intelligence that improves revenue operations across the entire GTM stack.
Additional details can be found at https://lift-ai.com/
Contact Info:
Name: Don Simpson
Email: Send Email
Organization: Lift AI
Address: One Sansome Street Suite 3500, San Francisco, CA 94104, United States
Website: https://lift-ai.com
Source: PressCable
Release ID: 89209560
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