Ruby uses AI to transform raw visitor data into actionable sales intelligence. Not just another tracker — a smarter way to sell.
Traditional visitor tracking gives you pages and timestamps. Ruby's AI gives you priorities, predictions, and personalized actions.
AI predicts buying intent based on pages viewed, visit sequence, time spent, and account history. No more manual rules — the model learns what actually converts.
AI generates readable summaries for each account. Instead of raw page lists, get context your sales team can act on in seconds.
AI predicts which accounts are most likely to convert and recommends the best next action: call, email, or nurture.
For each identified account, Ruby generates personalized email templates based on pages viewed and detected intent.
AI clusters accounts into interest groups: security-focused, integration-seekers, documentation readers. Spot patterns invisible to the human eye.
AI correlates campaigns with page visits. Know which campaigns drive pricing visits and predict close rates.
AI fetches public data to complete account profiles: company size, industry, tech stack, and B2B demographics.
Web data is noisy. AI groups company name variants, removes false positives, and normalizes entries. Cleaner pipeline, less noise.
An integrated AI chat where sales can ask natural questions and get synthesized answers instantly.
AI automatically highlights what matters: trending pages, rising segments, and priority actions.
Without AI, you get data. With Ruby, you get decisions. Our AI turns visitor behavior into prioritized actions — so your team spends less time analyzing and more time closing.
Let AI prioritize your pipeline. Book a demo and see Ruby in action.