Government Abstract. TitanX Founder and CEO Joey Gilkey explains why gross sales organizations are shifting from activity-based outreach to intent-driven precision. He outlines how Cellphone Intent infrastructure, AI-powered behavioral alerts, and channel restructuring are redefining SDR productiveness, join economics, and the longer term division of labor between automation and human sellers.
As outbound channels saturate and join charges decline, income leaders are rethinking the economics of pipeline technology. On this dialog, TitanX Founder and CEO Joey Gilkey argues that the normal quantity mannequin has hit a behavioral ceiling. He explains how Cellphone Intent, predictive intelligence, and AI-driven choice layers are serving to groups prioritize the suitable prospects, improve actual conversations, and restructure outbound round human-to-human moments. The dialogue highlights the rising cut up between autonomous textual content channels and high-leverage cellphone engagement.
AITJ: Joey, outbound gross sales has lengthy been pushed by quantity — extra dials, extra emails, extra headcount. What basically modified in the previous few years that made that mannequin break?
The mathematics stopped working. For years, the trade’s response to lacking targets has been to dial extra, utilizing parallel dialers and energy dialers to drive extra quantity. However we ran right into a behavioral wall. The truth is that in any market, solely about 20% of prospects will constantly reply chilly calls. The opposite 80% received’t decide up irrespective of what number of occasions you dial.let
If you mix that mounted human conduct with the truth that outbound channels like chilly e-mail at the moment are fully saturated and carriers are flagging calls as spam, the “volume” mannequin collapses. Electronic mail is tanking, LinkedIn is throttling you and join charges are collapsing throughout each channel. If 80% of your listing was by no means going to reply, dialing them sooner doesn’t assist, it simply burns by means of your complete addressable market (TAM) sooner.
Now, I’m not saying these different channels are lifeless. However what occurred is each channel acquired automated and saturated on the identical time and the cellphone is the one one left that’s nonetheless real-time and human. That’s what modified.
You’ve framed this second because the shift from “activity-based” to “intent-based” outbound. What does that shift imply operationally for a income chief?
It means you cease measuring effort and begin measuring outcomes. The “do more with less” mandate is the most important problem out there proper now. Operationally, this shift requires transferring away from the concept that “more dials equals more revenue.”
As an alternative of forcing reps to make lots of of blind dials, we shift the efficiency mannequin. By figuring out the 20% of people that truly reply, we shift a rep’s actuality from having one dialog each 30–50 dials to at least one dialog each few dials. We don’t change the place groups get their information; we simply inform them who to name first. That’s precision over quantity.
However right here’s what most individuals miss: this isn’t about going phone-only. It’s about restructuring how work will get divided. The cellphone is the place your human reps ought to reside. It’s the one real-time, human-to-human channel left, and it’s the highest-leverage factor a rep can do. Electronic mail, however, must be centralized and automatic. Advertising and marketing or AI ought to personal your quantity e-mail (your sequences, nurture and mass outreach). Your reps shouldn’t be grinding out 200 templated emails a day. The one emails a rep must be writing are the handful of high-fidelity, one-to-one messages for strategic accounts, possibly with some AI help to assist them craft these. The whole lot else is infrastructure, not rep exercise.
So after I say “intent-based,” I imply reps are having conversations on the cellphone with the suitable folks, and the remainder of the channels are systematized round them.
TitanX talks about “Phone Intent™” as predictive infrastructure relatively than simply one other gross sales software. How ought to executives take into consideration that distinction?
Most instruments enable you to do a process sooner; infrastructure adjustments how the duty is finished solely. TitanX is the primary Cellphone Intent platform. We aren’t simply providing you with an inventory of numbers; we’re aggregating information throughout sources to construct a behavioral profile per contact.
We use AI to show unstructured alerts into structured insights, figuring out if a quantity is correct, energetic and, crucially, whether or not that prospect has the behavioral propensity to reply unknown calls. That’s intelligence that merely doesn’t exist wherever else. It’s the distinction between a sooner automotive (a dialer) and a greater map (Cellphone Intent).
And right here’s the necessary factor: Cellphone Intent doesn’t simply inform you who to name. It organizes your total outbound movement. If a prospect has excessive Cellphone Intent—name them. If they’ve low Cellphone Intent—multichannel them with extra customized touches throughout e-mail, LinkedIn and voicemail. And in the event that they haven’t any intent or the info is unhealthy—market to them, don’t waste a rep’s time dialing them.
So it’s not “phone or nothing.” It’s a choice layer that tells you the suitable channel for the suitable individual. The cellphone simply occurs to be the highest-converting channel for the individuals who will truly reply.
If AI can now predict who’s prone to reply earlier than a rep dials, how does that change the economics of SDR groups and pipeline technology?
It adjustments the unit economics of the rep. We’ve seen groups create 5x extra conversations with out including headcount.
Have a look at Vanta, considered one of our prospects. They had been at 70% goal attainment and wanted to shut the hole with out hiring extra headcount. By making fewer dials however making the suitable dials, they went from 70% to 140% attainment. If you improve the output per rep that considerably, it basically adjustments how you concentrate on hiring and scaling. You now not want a military to get a gathering.
It additionally adjustments what reps spend their time on. When cellphone turns into major for distributed reps, they cease being part-time content material producers sending mediocre bulk emails. That quantity will get centralized into advertising and marketing automation or AI. Now a rep’s job is conversations, actual promoting, and the handful of high-fidelity, handcrafted emails they write for strategic accounts truly matter as a result of they’re not buried underneath 200 templates they had been pressured to crank out.
What occurs to the normal metrics — name quantity, touches per day, exercise quotas — in a world the place precision replaces brute pressure?
The phone-specific metrics get uncovered for what they’re: vainness metrics. If you’re dialing the 80% of people that by no means reply, you might be simply busy, not productive.
The objective of TitanX is to cease groups from losing time on that 80%. In a precision-based world, “dials per day” issues far lower than “conversations per day.” The metric shifts to effectivity: dialog charges, join charges and pipeline per hour. We assist groups prioritize, permitting them to drive outcomes extra effectively relatively than simply exercise.
Now, does a CRO nonetheless care about e-mail engagement and LinkedIn metrics? After all. However these must be tracked on the advertising and marketing and automation layer, not as particular person rep exercise metrics. If you centralize and automate e-mail, you measure deliverability, open charges and reply charges as a system. You don’t measure what number of emails a rep typed at present. The rep metric turns into: what number of conversations did you will have and what did you do with them?
You’ve claimed join charges within the 20–30% vary in comparison with the trade’s 3%. Past the headline quantity, what structural adjustments happen inside a gross sales org when these join charges shift?
It solves the morale and burnout disaster. Dialing into the void destroys a rep’s soul. If you shift from a 3% join charge to a 20–30% charge, reps are literally doing the job they had been employed to do: promoting.
It additionally stabilizes forecasting. When Vanta elevated their pipeline from the cellphone from 8% to almost 40%, it wasn’t nearly extra offers; it was about diversification and management. You cease counting on luck and begin counting on a predictable move of conversations.
And there’s a compounding impact: when reps are having actual conversations as an alternative of leaving voicemails all day, they get higher at promoting sooner. They develop abilities that truly matter. You possibly can coach on actual calls, not hypotheticals. The entire growth flywheel accelerates.
The acquisition of FrontSpin brings dialing infrastructure along with predictive intelligence. Why was proudly owning each layers — prediction and supply — strategically necessary?
The unique resolution we constructed was highly effective, however we needed to make investments closely to productize it into software program that was quick and scalable. Proudly owning the infrastructure permits us to shut the loop. If we offer the intelligence on who to name, however the supply mechanism, the dialer, is inefficient or disconnects that information from the workflow, we lose precision. By integrating prediction with supply, we make sure that the “lens” of decision-making—does this transfer us towards the end result?—is utilized to each single dial.
FrontSpin additionally brings one thing crucial on the deliverability aspect. Name deliverability—ensuring your quantity doesn’t present up as spam, that you simply’re rotating correctly, that you simply’re compliant—is half the battle. You possibly can know precisely who to name, but when your name will get flagged earlier than it rings, it doesn’t matter. Proudly owning each layers means we management the complete chain from intelligence to execution.
How do you see outbound evolving as e-mail and LinkedIn proceed to lose effectiveness and patrons change into tougher to succeed in?
I’m not saying CROs ought to abandon e-mail and LinkedIn. A CRO is working a full go-to-market movement throughout a number of channels. I get that. However right here’s the place the restructuring occurs.
The cellphone is the one channel the place you’ll be able to have a real-time, human interplay. It’s by far the highest-leverage channel for a distributed workforce of reps. The analysis backs this up. Voice creates connection in ways in which textual content merely can’t. That’s not opinion; there are hormone research displaying that voice communication triggers oxytocin responses that textual content doesn’t even register on. In a world the place everyone seems to be automating all the things, an actual human voice turns into the final word differentiator.
So what occurs to e-mail and LinkedIn? They get centralized and automatic. Advertising and marketing owns quantity e-mail (sequences, nurtures and campaigns). AI writes and sends at scale. LinkedIn outreach follows the identical path. The one written outbound your reps must be doing is the occasional high-fidelity, handcrafted e-mail for a strategic account, possibly with some AI help to assist them personalize it. That’s it.
Your reps’ job is conversations. The whole lot else is infrastructure. And Cellphone Intent is the working system that tells them who to have these conversations with.
There’s a broader enterprise pattern towards AI-driven choice programs changing human guesswork. Do you see outbound gross sales changing into extra autonomous over time?
Completely. AI already performs a considerable position in how we work, particularly in aggregating information and constructing behavioral profiles.
However right here’s the nuance: the channels the place AI replaces people and the channels the place it empowers people are splitting aside. Electronic mail? AI is already writing and sending emails as properly or higher than most reps. That channel goes totally autonomous and that’s tremendous. Let it. LinkedIn outreach? Similar trajectory. These are text-based channels that AI can deal with.
The cellphone is totally different. The long run isn’t about AI changing the human on the cellphone; it’s about AI changing the human choice of who to name. We use AI to show unstructured alerts, like whether or not a quantity is energetic or correct, into structured insights. This removes the guesswork so the human can focus solely on the dialog.
That’s the cut up: AI owns the choice layer and the text-based channels. People personal the cellphone. And the businesses that determine that division of labor first will dominate.
What dangers do firms face in the event that they proceed investing in high-volume outbound methods whereas rivals transfer towards predictive precision?
They danger burning by means of their market and killing their effectivity. The “do more with less” stress isn’t going away. In case your competitor is getting a dialog each 4 dials and you might be getting one each 50, they’ll eat your lunch.
Parallel dialers and quantity methods include tradeoffs: awkward pauses, unhealthy prospect experiences and finally, burning by means of your TAM. You can’t efficiency-hack a behavioral drawback with extra quantity.
And right here’s what folks don’t speak about sufficient: the harm compounds. Each unhealthy expertise—the robocall pause, the spray-and-pray e-mail, the LinkedIn automation that reads like a bot—makes your model just a little extra poisonous in your market. Your TAM doesn’t simply get burned by means of; it will get burned.
For a CRO evaluating their 2026 GTM technique, what’s the first query they need to ask about their outbound infrastructure?
The primary query must be: “Where should my reps be spending their time versus what should be automated?”
And the reply, more and more, is that this: your reps must be on the cellphone with the suitable folks. Interval. Electronic mail must be centralized and automatic—advertising and marketing and AI personal that now. LinkedIn is headed the identical route. The few high-fidelity, handcrafted outbound messages your reps write for strategic accounts? Nice, these matter. However that’s 5% of written outbound, not 95%.
Then the follow-up query turns into: “Does my infrastructure help me identify the 20% of my market that actually wants to talk to us?” If the reply isn’t any, you might be constructing a technique based mostly on waste. I take advantage of a easy filter for decision-making: does this choice transfer us towards our final result or not? In case your infrastructure creates 80% waste by design, it’s not transferring you towards that final result.
5 years from now, what is going to look outdated about how most firms construct pipeline at present?
The thought of “lists” based mostly solely on firmographics (firm dimension, trade and title) will look archaic. We’ll look again on the period of parallel dialers and “power dialing” the identical method we take a look at the fax machine—clunky, inefficient and annoying.
We’ll additionally look again on the period of particular person reps manually writing lots of of emails a day and surprise what we had been pondering. That shall be totally automated and it must be. The concept that you’d pay a human $75K a 12 months to kind emails that an AI can write higher and sooner will appear absurd.
The long run is Cellphone Intent. We’re constructing the class. In 5 years, the usual shall be behavioral-based focusing on: realizing not simply who suits your ICP, however who behaves in a method that permits you to promote to them. And the reps who thrive would be the ones who’re nice on the cellphone, as a result of that’s the one channel that also requires a human.
