If you are building a modern sales stack, you are eventually going to compare two categories that get sold as if they were the same thing: intent data and job change data. Both promise to tell you who to call before your competitor does. Both are marketed as buying signals. But they are built on opposite assumptions, and the difference decides how much of your pipeline they actually create.
The short version: intent data infers that an anonymous account might be in-market. Job change data tells you that a specific person you already know just landed somewhere new. One is a guess about strangers. The other is a known event about a warm relationship. If you only have budget for one signal to build a motion around, that distinction is the whole decision.
What intent data actually measures
Intent data is behavioral. It watches for signs that an account is researching a category: content consumption across publisher networks, keyword surges, review-site visits, ad engagement. Providers aggregate those signals and score accounts as showing elevated interest in a topic.
Used well, it is genuinely useful for prioritization. It narrows a large territory down to the accounts that are moving right now, so your team spends its week on the ones warming up instead of the flat ones.
The limits are built into the model:
- It is probabilistic, not certain. A spike means someone at the account read something. It does not tell you who, whether they have budget, or whether they are your buyer or a student writing a report.
- It is usually account-level and anonymous. You learn the company is curious. You still have to guess the person, find contact details, and earn the first reply from a cold start.
- It is crowded. If a topic is spiking, every vendor with the same intent feed sees the same spike on the same day. You are racing identical outreach into the same inbox.
What job change data measures
Job change data is not behavioral. It is an event. It watches the people already in your CRM, your customers, champions, and past buyers, and tells you the moment one of them changes companies:
- Who moved, matched back to your existing record
- From where to where, old company and title to the new one
- When, ideally with an intent-to-move signal in cases where the change is not yet public
- Who owns it, the rep or CS manager who held the original relationship
You are not inferring interest from a stranger. You are being told that a person who already knows your product, and presumably liked it enough to be in your database, just arrived somewhere new with budget to spend and a mandate to show early wins. That is not a guess about temperature. It is a warm introduction that happened whether or not the person remembered to tell you.
And most of them do not tell you. Only about 6% of customers let a vendor know they changed jobs; the other 94% just move on quietly. Intent data will never surface that person, because they are not researching your category, they already trust it.
Setting the two side by side
| Intent data | Job change data | |
|---|---|---|
| Signal type | Inferred interest | Confirmed event |
| Granularity | Usually account-level, anonymous | Person-level, matched to your CRM |
| Relationship | Cold: a stranger researching | Warm: someone who already knows you |
| Timing | “Might be in-market this quarter” | “Moved this week, act now” |
| Competition | Everyone with the same feed sees it | Unique to your relationship history |
| First touch | Cold outreach, earn the reply | Reconnect, the trust already exists |
This is why job changes convert at a different rate than cold signals. When the relationship already exists, the numbers move:
- Champion-sourced deals close with a 2.7x higher probability, in roughly half the sales cycle.
- You have a 60 to 70% chance of selling to an existing relationship, versus 5 to 20% for a cold prospect.
- 65% of a company’s business comes from existing customers and their networks, and it is 6x more costly to acquire a new customer than to retain a relationship.
Intent data has to overcome the cold-start problem on every lead. Job change data starts from a relationship that already cleared it. For a fuller look at how these fit alongside other triggers, see the signal-based selling playbook.
They are not mutually exclusive
The honest answer is not “drop intent data.” The two signals answer different questions, and a mature stack can run both. Intent data widens the top of the funnel: it points you at accounts you have no relationship with yet. Job change data deepens the warmest part of your funnel: it reactivates the relationships you already earned before they go cold.
The mistake is treating them as interchangeable line items and funding the anonymous one first. If you have a database of past champions and customers, the highest-converting signal you can wire in is the one that tells you when they move, because you are not paying to manufacture trust. You are paying to be told the day it becomes actionable again.
What the job change feed is worth on real numbers
Take a CRM with 10,000 contacts. Turn detection on and roughly 20% surface as hot leads immediately, about 2,000 conversations available on day one, people who already moved and you never heard. After that, expect 200 to 300 new warm leads every month, because 2 to 3% of B2B contacts change jobs monthly and they never stop moving.
An intent feed run against the same territory would light up a rotating set of anonymous accounts, most of which you have no relationship with and many of which are researching for reasons that have nothing to do with buying. The job change feed hands you named people with a reason to take your call.
What to look for in a job change provider
If you decide the move is the signal worth building around, compare providers on three axes rather than on the marketing:
- Match rate. Re-identifying a contact who changed their email, company, and sometimes their name is where most feeds and home-built pipelines leak. A move you cannot match is a lead you never see.
- Freshness and intent. Catching the move fast, ideally reading intent-to-move signals before the change is public, so you arrive in the first week rather than after the seat is filled.
- Coverage beyond Salesforce. Many tools are Salesforce-first. If your team runs on HubSpot, Pipedrive, or Zoho, breadth matters more than one deep integration.
The job change tracking landscape compares the main tools on exactly those axes. Champions runs the whole loop for you across Salesforce, HubSpot, Pipedrive, Zoho and others, with no app to install and no logins for reps, and routes each move to the person who owns the relationship. See how it fits your team in the sales use cases. Because the leads convert, the signal is backed by a contractual ROI guarantee: if champion-sourced revenue does not reach 2x your annual service fee, you are covered under our terms. Among the compared tools, only Champions offers that.
Where to start
Keep your intent data if it earns its place at the top of the funnel. But do not confuse a guess about a stranger with a known event about someone who already trusts you. The move is the higher-converting signal because the relationship is already there. You just have to be told in time to act on it.
Book a demo and we will run detection against your own CRM live, show you the moves already hiding in it, and walk through how the feed fits your stack. Prefer email first? Reach us at [email protected] and we will get you the details.
Intent data tells you an account might be curious. Job change data tells you the day a person who already knows you becomes your best next opportunity.
