Quick answer
ZoomInfo intent data can boost your sales, but beware of its limitations, as 52% of users report false positives. Assess its effectiveness for your needs, and consider alternatives if necessary.
Intent data is one of those ideas that sounds transformative on a sales call. Imagine knowing which companies are actively researching your product category before they fill out a single form. You reach them first, before they’ve even shortlisted your competitors. That’s the promise.
And it’s a real promise. We’ve seen intent data drive genuine results for clients, including a cybersecurity firm that saw a 32% increase in booked meetings and a financial services company that grew pipeline by 19%. The concept works.
But ZoomInfo’s specific implementation of intent data? That’s where it gets complicated. After working with multiple clients who use ZoomInfo’s intent signals, and building our own data enrichment tools at Fifty Five and Five, I’ve seen enough to give you an honest assessment of what works, what doesn’t, and when to consider alternatives.
What B2B intent data actually is
Before getting into ZoomInfo specifically, it helps to understand what intent data means in practice. It’s a system that tracks online behaviour to identify companies that appear to be actively researching solutions in your category.
Not all intent signals are equal:
| Signal strength | Examples | Reliability |
|---|---|---|
| Weak | Blog reading, LinkedIn follows, whitepaper downloads | Low. Could be casual browsing. |
| Medium | Comparison guides, ad clicks, webinar signups | Moderate. Shows interest but not urgency. |
| Strong | Pricing page visits, RFI submissions, review site searches | High. Indicates active evaluation. |
The value of intent data depends entirely on how accurately it identifies strong signals and filters out the noise. That’s where the differences between providers become critical.
How ZoomInfo collects intent data
ZoomInfo uses four primary sources:
Content consumption tracking. Monitoring which topics and keywords companies are researching across the web.
Bidstream advertising data. Capturing data from ad exchanges about which companies’ IP addresses interact with relevant ads.
IP-based web tracking (WebSights). Identifying company IP addresses visiting your website and matching them to accounts.
Third-party partnerships. Data from review platforms like G2 and TrustRadius, which provide high-quality signals about companies actively evaluating solutions.
ZoomInfo updates this data daily, which is more frequent than some competitors. Bombora, for example, updates weekly. In theory, daily updates mean you’re seeing fresher signals.
In practice, the picture is more nuanced.
Where ZoomInfo intent data struggles
The IP tracking problem
This is the biggest issue, and it’s gotten worse since remote work became the norm. ZoomInfo’s WebSights feature identifies companies by matching IP addresses to known company networks. When everyone worked in offices, this was reasonably reliable. Now, with employees working from home on residential ISPs and using VPNs, IP-based tracking frequently misattributes activity.
29% of sales professionals cite misattributed IP data as their key challenge with ZoomInfo’s intent features. When your sales team calls an account flagged as “high intent” and gets a confused response, that’s not just a wasted call. It erodes trust in the entire system.
False positives are rampant
This is the most consistent feedback we hear. 52% of sales professionals report frequent false positives that require manual validation. A Reddit user put it more bluntly: “False flags accounted for over 90% of the intent.”
The problem is partly structural. Bidstream data captures ad interactions, but clicking on an ad doesn’t necessarily indicate purchase intent. Someone might click out of curiosity, by accident, or while researching for a report rather than for a buying decision. The signal-to-noise ratio is lower than ZoomInfo’s marketing suggests.
Daily updates can increase noise
This sounds counterintuitive. Shouldn’t more frequent data be better? Not always. Daily refreshes capture every transient signal, including ones that have no lasting significance. A company employee reading a single article about your category generates an intent signal that might lead to a sales call, even though it was just casual reading.
Only 19% of users found real-time updates significantly advantageous over Bombora’s weekly refreshes. Sometimes, letting signals accumulate and strengthen over a week gives you a more reliable picture of genuine intent.
Firmographic data gaps compound the problem
Intent data is only useful if the underlying company data is accurate. If ZoomInfo flags “Acme Corp” as showing intent but the firmographic data (company size, industry, decision-makers) is outdated, the sales team is operating on a flawed foundation. We covered ZoomInfo’s data accuracy challenges in our ZoomInfo overview , and those issues are amplified when you’re making outreach decisions based on intent signals.
When ZoomInfo intent data does work
It’s not all bad. Companies with positive ZoomInfo intent data experiences typically share these characteristics:
Fast-moving sales environments. If your sales cycle is short and your team can act on signals quickly, even imperfect data has value because speed matters more than precision.
Resources to validate signals. Teams that combine ZoomInfo intent with their own first-party CRM data get much better results than teams that rely on ZoomInfo signals alone. The cybersecurity firm that saw a 32% increase in booked meetings was cross-referencing ZoomInfo data with their own engagement history.
Well-represented industries. ZoomInfo’s data coverage is strongest in technology, finance, and cybersecurity. If your target market falls outside these sectors, the data quality drops noticeably.
Full suite usage. Companies using ZoomInfo’s complete platform (data, intent, CRM integration, automation) get more value than those cherry-picking individual features. The integration makes the signals more actionable.
How ZoomInfo compares to alternatives
| Provider | Approach | Strengths | Weaknesses |
|---|---|---|---|
| ZoomInfo | Multi-source (IP, bidstream, third-party) | Daily updates, CRM integration | False positives, IP misattribution |
| Bombora | Co-op model (publisher network) | Higher accuracy from first-party data | Weekly updates only |
| 6sense | AI-driven predictive modelling | Predicts buying stage, not just activity | Requires strong CRM integration |
| Demandbase | ABM-focused intent | Strong programmatic advertising integration | Keyword-based approach has limitations |
| Cognism | GDPR-compliant intent | Strong European coverage, verified contacts | No real-time tracking |
If accuracy is your primary concern, Bombora’s co-op model tends to produce fewer false positives because the data comes from first-party publisher relationships rather than IP inference.
If you want predictive capabilities, 6sense’s AI models attempt to identify where an account is in the buying journey, not just that they’re showing activity. That’s a meaningful step beyond raw intent signals.
If you’re focused on European markets, Cognism’s GDPR-first approach provides intent data that’s been built with compliance from the ground up.
A different approach: managed data enrichment
At Fifty Five and Five, we took a different approach with Compass Data. Instead of providing raw intent signals that require extensive filtering and validation, we deliver pre-verified, structured lead data.
The model is fully managed: you share your target criteria, our AI enriches and verifies the data against multiple sources, and we deliver CRM-ready output with decision-maker level contact details. No false positives to filter. No credits to manage. No IP misattribution to work around.
Clients using Compass Data have reported a 38% increase in lead conversion rates, a 45% reduction in wasted outreach, and a 32% improvement in pipeline accuracy. Those numbers reflect the value of clean, validated data over raw signals that require manual filtering.
The bottom line
Intent data is a genuinely valuable concept. Knowing which companies are actively in-market gives your sales team a meaningful edge. But the implementation matters enormously.
ZoomInfo’s intent data works for well-resourced teams that can validate signals against their own data and act quickly. It struggles for teams that need accuracy out of the box, operate in industries with poor data coverage, or don’t have the resources to filter false positives.
Before investing in any intent data solution, be honest about your team’s capacity to process and validate signals. The most expensive intent data platform in the world is worthless if your team can’t separate genuine buying signals from noise. Start with the cleanest data you can get, validate it against your own first-party information, and build from there.