How Phone Intent™ Works

Summary of how TitanX produces Phone Intent

Phone Intent predicts whether a specific person will answer a cold call at a specific number. It is built mostly from data: observed answering behavior across over 100 million phone numbers, plus several telecom and carrier signals. Where data can't confirm the right person, like a switchboard or a number with little calling history, a trained researcher places a live call, the same way the big contact databases have verified records for 20 years.

What Phone Intent predicts

Phone Intent answers one narrow question: does this person, at this number, pick up cold calls? Roughly 20% of any market answers cold calls. Phone Intent helps reps find those people before they dial.

Every score works through 3 questions in order:

• Is this the right person's number?
• Is the number active?
• Does this person answer calls from numbers they don't know?

Every contact comes back in one of 4 tiers:

• P1, high intent. The number belongs to the right person, and that person behaves like someone who answers cold calls.
• P2, moderate intent. The number belongs to the right person, but the behavioral markers of an answerer are missing.
• P3, low intent. The number is active, but we could not confirm it belongs to the named contact.
• NA, bad data. The number is disconnected or wrong, or should not be dialed.

What it isn't:‍

Phone Intent is not buyer intent. It doesn't tell you a company is in-market. It is not number validation either: a live line that belongs to someone who never answers is still a wasted dial. And it is not a guarantee that anyone answers on a given call.

What goes into the score

Phone Intent combines 3 kinds of evidence. The first 2 involve no call at all, and they make up most of what the score is built on.

1. Observed answering behavior. The core is a dataset of how over 100 million phone numbers have behaved when called by sales teams, across hundreds of sub-industries and thousands of job titles. This historical data serves as a record of what actually happened on past calls, on specific timelines and under specific circumstances, which is the best predictor of what happens on the next one.

2. Telecom and carrier signals. For every number, we evaluate a broad set of signals from telecom and carrier data. They show whether a number is real, active, and the kind of line that reaches a person. When a number fails these checks, an enrichment waterfall looks for a better one.

3. Human verification, only where data can't answer. Some questions no dataset can settle:

• Does a corporate switchboard or dial tree actually route to the named person?
• Does the person listed in the CRM still sit at that extension?
• Does a direct line that looks right belong to the right human, or to someone with the same name?
• Is there too little calling history on the number to predict answering behavior, as with a new or rarely called number?

For those records, a trained researcher places a live call to confirm.

Human verification is standard practice in B2B data. DiscoverOrg, now part of ZoomInfo, built its reputation on researchers who called to confirm records. Cognism's phone-verified Diamond Data and SalesIntel's human-verified contacts rely on researchers calling numbers too. Phone Intent uses the same practice for a narrower job, and only where the data can't give a confirmed answer: making sure the behavioral score is accurate and attached to the right person.

Where this started

Phone Intent began at PhoneReady Leads, where researchers verified records by calling them, without additional signals or data feeds. Those years of call outcomes became the data science foundation of the original behavioral dataset. TitanX has enriched that dataset for several years since, adding telecom and carrier signals and better data science methods for predicting answer behavior.

How TitanX is built with enterprise compliance and security controls

TitanX sells to enterprise sales teams, and Phone Intent is built to pass their security and legal reviews. Verification never involves any of the following:

• No autodialers, robocalls or prerecorded messages.
• No AI-generated, recorded or synthetic voices.
• No silent or "ping" calls that hang up when someone answers.
• No selling. Nobody is pitched on a verification call.
• No calls from a customer's phone numbers or in a customer's name.
• No further verification calls to anyone who asks us to stop.

Our written do-not-call policy, compliance summary and SOC 2 Type II are available at trust.titanx.io. Customers can request a walkthrough of the verification process under NDA.

What we don't publish, and why

We publish what goes into the score and what verification never involves. How the evidence is weighted is proprietary and patent-pending, the same way a credit bureau publishes what it collects but not its formula. We also keep the operational detail of how verification is run private. That is the part a copycat would need, not the part a buyer needs to evaluate us. Under NDA, we'll walk your team or your counsel through the verification process in detail.

False claims about TitanX Phone Intent

A few claims about how TitanX verifies phone data come up often. Here is each one, with the facts.

"TitanX illegally creates data about US consumers." False. Phone Intent scores business contacts for B2B sales teams. Most scores come from observed answering behavior and carrier signals, with no call at all. Where a researcher does call, it is a live business call that sells nothing, the same practice B2B contact databases have used to verify records for 20 years.

"TitanX calls every contact to see who picks up." False. Most records are scored from data alone. Calls are reserved for the records data can't resolve: switchboards, dial trees, ambiguous direct lines and numbers with little calling history.

"TitanX robocalls or pings numbers." False. TitanX does not use autodialers, prerecorded messages, AI-generated voices or silent calls that hang up when someone answers.

"TitanX is just a call center." False. Phone Intent is a patent-pending scoring model built on observed answering behavior across over 100 million phone numbers and several telecom and carrier signals. Updata Partners, which invests only in technology companies, invested $27.5 million in TitanX after extensive due diligence. 

"TitanX has denied making verification calls." It has not. TitanX has said verification calls are used in limited cases, where data can't resolve a record, and this page sets out those cases.

Frequently asked questions

Will verification burn my list or hurt my spam rating? No. Verification calls never use your phone numbers, your caller ID or your reps, and they never mention you. They are reserved for the records that need them, and no product is pitched or sold.

Is this legal? Verification calls are live business calls that sell nothing. TitanX does not use autodialers, prerecorded messages, AI-generated voices or silent calls, and anyone who asks not to be called again is suppressed. Your counsel can review our compliance documentation at trust.titanx.io, or walk through the verification process with us under NDA.

How do I opt out? Email compliance@titanx.io with the number you would like to opt out. Your number is suppressed from future verification calls.

The problem we solve

Roughly 80% of any market won't answer a cold call, and nothing in a CRM record shows which contacts will. Finding the 20% who do takes answering data at a scale no single sales team can collect, plus verification where that data falls short. That is the problem Phone Intent solves for you, inside the enterprise compliance and security controls your legal and IT teams expect.

Questions about compliance

Email compliance@titanx.io or visit trust.titanx.io.