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TitanX has developed a Phone Intent Platform that uses artificial intelligence to help businesses identify which prospects are most likely to answer cold calls. The AI-powered system addresses a growing challenge in telemarketing, where consumers increasingly ignore unknown numbers due to spam call fatigue, while over 50% of B2B leads still originate from cold calling according to recent data.

What you should know: The platform leverages AI to filter prospects based on behavioral signals and phone activity patterns, essentially creating a “triage system” for sales calls.

  • TitanX’s AI analyzes 12 proprietary signals, including telecom data, consumer behavior, and B2B attributes to answer three core questions: Is this the correct number? Is this number active? Does this person typically answer unknown calls?
  • The system distills this data into a single “High Intent” score that helps sales representatives prioritize who to call and when to reach out.
  • “Most spam calls happen because reps are operating in the dark,” says TitanX CEO Joey Gilkey. “They’re dialing through lists without knowing who’s actually interested, ready to buy, or receptive to even being called in the first place.”

The big picture: Cold calling remains a significant business channel despite consumer resistance to unknown calls, with the global outbound telemarketing market projected to reach $11.5 billion in 2025.

  • YouMail’s Robocall Index estimated U.S. consumers received over 4.8 billion robocalls in May alone, contributing to widespread call avoidance behavior.
  • Despite this resistance, 49% of B2B buyers prefer to be contacted via phone first, and 82% accept meetings from cold outreach, according to Martal.AI, a lead generation company.
  • The U.S. telemarketing and call center industry has grown at a 4.9% compound annual growth rate between 2020 to 2025, with nearly 50,000 businesses operating in this space according to IBISWorld, a business research firm.

How it works: The AI system functions like medical triage, prioritizing prospects based on likelihood of engagement rather than treating all leads equally.

  • “Imagine your sales list is a haystack. Inside that haystack are a few needles,” explains Gilkey. “These are the people who will actually pick up the phone. Today’s sales reps go straw by straw, dial by dial, hoping to find a needle. TitanX’s AI sifts through the haystack first to hand you all those valuable needles.”
  • The platform flags when someone is demonstrating “reachability signals,” allowing sales representatives to contact prospects at optimal moments when conversations are most welcomed.

Why this matters: The development represents a broader evolution toward personalization in sales and marketing, similar to how social media advertising replaced less targeted approaches like newspaper ads.

  • Traditional “spray and pray” cold calling approaches not only waste resources but can damage brands by frustrating consumers with unwanted calls.
  • AI-powered precision targeting could reduce consumer frustration while improving sales conversion rates, potentially making cold calling more effective and less intrusive.
  • The technology demonstrates how AI can enhance rather than replace human sales interactions by providing better intelligence about when and whom to contact.

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