Reddit discussions across B2B sales and marketing communities about intent data reveal a massive gap between the promises of intent software vendors and the reality on the front lines.
Across multiple Reddit threads, practitioners are largely concluding that generic, third-party intent data has become a saturated, noisy commodity, forcing teams to completely rethink what qualifies as a true buying signal.
Here is a quick AI analysis connecting the dots across these Reddit threads with commentary on how intent data is currently failing, how teams are fixing it, and the underrated signals that are actually driving revenue.
The “Expensive Noise” of Legacy Third-Party Data
A recurring theme across communities is a deep skepticism toward legacy third-party intent providers like Bombora, Demandbase, and ZoomInfo. In a discussion about the efficacy of intent data [^1], multiple revenue leaders agree that generic, company-level signals—such as “Acme Corp is researching CRM”—are virtually useless without knowing who is researching and why.
“We got Demandbase last year and I swear it’s the most useless tool I’ve ever used. Props to them for getting teams to spend 100k on this shit.
“Apple is showing interest in commerce”….great.” — u/ftwin
As noted in a related thread regarding the value of lead generation lists[^2], many of these “signals” are simply scraped LinkedIn data or generic web traffic masked as high intent. As a result, reps end up chasing ghosts.
“There are legit vendors but the ‘signals’ Apollo and most claim are simply info scraped from a LinkedIn profile. You can find viable signals from company information if you’re creative.” — u/iloveb2bleadgen
Fixing the “False Positive” Trap with Composite Scoring
The root cause of intent data failure is often operational: teams treat a single, isolated spike in activity as a definitive buying signal. In a thread discussing false-positive alert rates[^3], practitioners note that relying on a single “magic score” or a single-source threshold floods sales teams with false positives, leading reps to ignore the alerts entirely.
“The threshold problem is usually a symptom of treating intent as a binary trigger rather than a composite condition. Single-source thresholds are inherently noisy because any one source has its own false positive rate.” — u/Ok_Detail_3987
To fix this, operations teams are moving toward multi-source accumulation and composite scoring. Accounts should only be flagged for high-touch outreach if they show sustained activity across independent sources over multiple weeks. Additionally, instead of guessing, teams using platforms like 6sense or RollWorks are pulling 6–12 months of closed-won deals to retroactively see what intent score patterns actually preceded a purchase.
“I tuned the threshold so the high band roughly matched the win rate and capacity we’d actually seen before, not what we wished for.” — u/ZestycloseCanary6845
The Shift to “Quiet” and Underrated Operational Signals
Because broad intent lists are commoditized, teams are hunting for highly specific, early-stage behavioral shifts. In discussions on finding better buying signals[^4] and identifying underrated intent[^5], practitioners highlight several highly predictive, unconventional triggers:
Pricing Page Dwell Time & Logic: Traditional marketing treats an email open as intent, but a prospect visiting a pricing page without requesting a meeting is a significantly stronger signal. Even stronger is when prospects ask questions about pricing logic.
“People who ask how pricing scales, how credits work, or how limits reset are usually scoping a real rollout. These questions show budget planning, not curiosity.” — u/Apprehensive-Cry4743
GTM Operational Shifts: Before a company buys new software, they leave digital footprints. Watching for new tags in their source code or the publication of new enterprise pages (SOC 2 badges, SSO/SCIM docs) signals that fresh budgets have been approved long before an RFP is issued.
“The best early signals I’ve seen are the quiet operational ones that show they’re spinning up GTM or maturing data before the rest of the world notices.” — u/david_ryan_mr
The “New Sheriff”: A newly hired VP or C-suite executive is widely considered one of the strongest firmographic signals.
“New VP comes in, they have budget to prove themselves and zero loyalty to incumbent vendors. That window is maybe 90 days.” — u/Ambitious-Age-5676
The Last Mile: The “So What?” Problem of Outreach
Finally, even if the intent data is perfectly accurate, the execution often ruins the opportunity. In a thread regarding turning signals into pipeline[^6], marketers point out that having a rep email a prospect to say, “I saw you looking at our pricing page,” creates unnecessary friction.
“The key is to treat intent data as context, not the pitch. Nobody wants to hear ‘I saw you on our pricing page.’ What works is connecting the signal to a problem they care about.” — u/Bart_At_Tidio
Intent data should dictate timing and context. Even if an account shows high intent, the outreach should still be problem-led.
Footnotes (Reddit Threads)
[^1]: Is “intent data” for leads still working for you, or are we just paying for expensive noise? : r/sales [^2]: Does Anyone Actually Buy From Those “Intent Data” Lists? : r/LeadGeneration
[^3]: Our intent alert system has a 30% false positive rate and sales stopped trusting it, how do you calibrate thresholds properly? : r/MarketingAutomation
[^4]: How do you find better signals that show when a company is actually ready to buy? : r/AskMarketing
[^5]: What are some underrated intent signals for lead qualification? : r/b2bmarketing
[^6]: How do you turn intent data into pipeline? : r/SaaS
