Intent Data Is Dead. Or Is It? Two Signal Companies Argue It Out
About this episode
In Episode 3 of Intent, Decoded, Brendan Hughes sits down with Jack Porter, co-founder of WhiteWhale, and Niall O'Gorman, founder of MarketSizer, to test whether intent data is actually dead or simply mis-sold. Jack maps the three generations of account prediction: keyword-based intent data, which is losing its supply as buyers move their research into AI models; the standard signal set of funding rounds, hiring, job changes and champion tracking, now shipped by every tool so that every rep contacts the same account on the same day; and custom signals built around a specific buying moment. Niall comes at the same problem from the subscription side, tracking when a technology was first seen and last seen on an account to tell an active trial from a churned one, a new customer from a renewal window. The two founders agree on the enemy - static, aggregated data that everyone owns and nobody can verify - and disagree about what replaces it. The conversation covers evidence and sourcing, why a signal nobody believes is worthless, routing signals to the right team rather than defaulting to the SDR, pricing without lock-in, the limits of building this yourself with an LLM, and why signals multiply an outbound motion rather than rescuing one.
Topics covered
- Why keyword intent is losing the data supply it was built on
- What happens when every tool ships the same standard signals
- Working backwards from the moment a company actually buys
- Company events versus vendor events, and why they are not the same signal
- Reading subscription movement: first seen, last seen, trial, renewal
- Why timing is a spectrum rather than a binary
- Routing a signal to the right team instead of defaulting to the SDR
- Why a signal without a visible source never gets believed
- Pricing as a trust signal: no lock-in, metered, credits returned on a miss
- Where building it yourself with an LLM stops scaling
- Frenemies: competing with the incumbents while their ecosystem grows the market
- Why signals multiply an outbound motion rather than rescue one
Chapters
- 00:02Welcome and introductions
- 01:19Jack's accidental route into signals
- 02:26From ecommerce intelligence to MarketSizer
- 05:04Three generations of account prediction
- 07:04Working backwards from the buying moment
- 08:30Subscription movement: first seen, last seen, renewed
- 11:52Timing is a spectrum, not a binary
- 15:09Which team should the signal actually go to
- 17:21Turning onboarding homework into patterns
- 18:49Why a signals business lives or dies on sources
- 21:46No lock-in, metered pricing, credits back on a miss
- 23:32"Why can't I just build this myself?"
- 27:02Frenemies, ecosystems, and the five-year view
- 31:26Where the old-school playbook stops being defensible
- 33:34Fickle markets and the AI hype cycle
- 35:37Closing advice: fundamentals before signals
Key takeaways
- Keyword intent is losing its supply. It was built on people searching and landing on pages that could register an IP address. Buyers now do that research inside a model, and the model does not leave the trace the method depends on.
- The standard signal set is commoditised. Funding rounds, hiring, job changes and champion tracking ship in every tool, so the same account gets contacted by everyone on the same day. There is no worse moment to reach out than when the whole market is calling.
- Work backwards from the buying moment. Decide what has to be true for a company to actually buy what you sell - the first CX hire, a new market, a deal too big to support manually - then find the signals that show an account is at that point.
- Static data is the shared enemy. A quarterly or half-yearly refresh is stale before it lands, and layering a language model on stale data adds fabrication to being out of date.
- Timing is a spectrum. An account with no competing technology in the stack needs an air-cover warm-up; an account building out the function now is go time. Same list, two different plays.
- The signal is only half the job. A named competitor appearing inside your own customer should wake the CSM, not the SDR. An early-stage research signal belongs with marketing and is not a qualified lead at all.
- A signal nobody can verify does not get worked. Both companies solve this the same way: show the source, the quote, the timeline of when a technology was first seen and last seen, so a rep can check it before they dial.
- Signals are a multiplier, not a silver bullet. They make a working outbound motion sharper. Multiply a broken offer, a broken pitch, or broken infrastructure by ten and it is still broken.
Moments worth quoting
“Everyone with a Clay table, everyone with an Apollo account, everyone with a ZoomInfo account emails the exact same prospect the exact same day at the exact same time. And there is no worse time to reach out than when everyone else is calling.”
“We have a common enemy, and the enemy is static data bought in aggregated datasets. Everybody has got the same signals.”
“Practically, it is not a binary. That is not how you and I buy things. We think about things, we sleep on it, we wait six months, we forget about it, and then we need to go buy it.”
“A signals business does not exist unless the data is reliable. As soon as that data becomes unreliable, people stop trusting it and they stop listening to it.”
“If somebody has just renewed with a competitor, you put them into nurturing until you are 120 days out from the next renewal. If your own customer starts implementing a named competitor, you pick up the phone as fast as humanly possible.”
“If you multiply anything by zero, it is still zero. Intent data is not going to save a bad offer.”
Mentioned in this episode
- Read the full recap - The written companion to this episode, with the takeaways and the sharpest quotes.
- Intent Data Didn't Break. The Wrong Signals Were Sold as Intent. - The category error behind the "intent data is dead" argument, and what to sort on instead.
- What Replaces Intent Data in 2026? - The compact answer to the question this episode spends forty minutes on.
- How to Detect Competitor Trials - The detection methods behind the first seen, last seen timeline Niall describes.
- B2B Winback: Recover Churned Customers on Competitor Renewal Timing - The deep dive on the 120-days-out renewal play discussed in the episode.
- Purchase Intent vs Intent Data - The definitional pillar behind the split between what is said and what is done.
- WhiteWhale - Jack's custom signal platform for outbound teams.
- Start free with 500 qualified opportunities - See which accounts are showing observable signs of movement, from competitor trials to renewal windows.
Keep listening
From Signal to Trust: How Sellers Earn the Right to Reach Out
A signal is not permission to sell. Leslie Venetz joins Niall O'Gorman and Brendan Hughes to unpack what should actually happen after a GTM team sees an intent signal - and how to earn the right to a buyer's time.
Why most GTM teams are misusing intent data
Buying intent data is everywhere, yet most teams still struggle to turn it into pipeline. We unpack the practical mistakes GTM teams make when reading intent signals, why category-level spikes rarely translate to closed revenue, and how to combine intent with account fit and timing to actually book meetings.
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