Two terms that sound the same but work completely differently
Sales and marketing teams throw around "intent data" and "intent signals" like they are interchangeable. They are not. The difference affects how you buy tools, how you build workflows, and how fast you need to act.
Intent data is a product. Companies like Bombora, G2, TrustRadius, and 6sense aggregate browsing behaviour across their publisher networks to identify which companies are researching specific topics. They package this into weekly or biweekly reports and sell it as a subscription. You get a list that says "these 200 companies are showing intent for CRM software."
Intent signals are events. A specific person took a specific action at a specific time. They visited your pricing page. They followed your competitor on X. They liked a post about a problem your product solves. There is no aggregation. There is no delay. The signal is the raw event itself.
Intent data: strengths and blind spots
Intent data is valuable for strategic planning. If you know that 200 companies in your target segment are researching CRM software this quarter, you can adjust ad targeting, prioritise accounts for outbound, and align content strategy. The view is wide and directional.
But intent data has structural limitations. It is account-level - you know the company is researching, not who at the company is doing it. You still need to find the right contact and figure out their role in the buying process. It is delayed - aggregated weekly, sometimes biweekly. The research spike might have peaked days before you see the report. And it is probabilistic - based on content consumption patterns that might indicate research or might indicate a college student writing a paper.
Intent data works best as a prioritisation layer for outbound. Use it to rank which accounts to focus on this quarter. But do not treat it as a timing signal. By the time you see it, the optimal engagement window may have already closed.
Intent signals: raw, fast, and individual
Intent signals operate at a completely different cadence. A pricing page visit is visible in your analytics within seconds. A social media follow is visible immediately. A content download is logged the moment it happens.
The advantages are the inverse of intent data's weaknesses. Signals are individual - you know exactly who took the action, not just which company. They are real-time - no aggregation delay, no weekly batch processing. And they are explicit - the person chose to take an action, rather than being inferred from browsing patterns.
The trade-off is volume and coverage. Intent data providers cover millions of companies across the web. Intent signals are limited to the touchpoints you monitor. You see your own website visitors, your own email recipients, and the social accounts you choose to track. The coverage is narrower, but the signal quality is dramatically higher.
Social media: the intent signal most teams ignore
Website visits and content downloads are well-established intent signals. Most marketing teams have tools to track and act on them. Social media engagement, on the other hand, sits in a blind spot.
Follows and likes on X are public, real-time intent signals that require zero first-party data infrastructure. You do not need the person to visit your website. You do not need them to fill out a form. They followed a relevant account or liked a relevant post, and that action is visible to anyone who looks.
The challenge has always been operationalising these signals. Manually checking who followed your competitor is not scalable. Scrolling through post likers is tedious. That is why most teams default to intent data subscriptions - the data is pre-processed and delivered.
But tools now exist to automate social signal capture. Catch The Good Ones monitors any public X account, classifies new followers and likers using customisable AI-powered filters you define in plain English, and delivers matches to your dashboard daily. It turns unstructured social engagement into structured, actionable intent signals - without the aggregation delay of traditional intent data.
When to use intent data vs intent signals
This is not an either/or decision. The best go-to-market teams use both, but for different purposes.
Use intent data for quarterly planning and account prioritisation. Which segments are showing elevated research activity? Which accounts should your outbound team focus on this month? Intent data is excellent for narrowing a large addressable market into a focused target list.
Use intent signals for daily execution and timing. Which specific people just showed interest? Who followed a competitor today? Who visited your pricing page this afternoon? Intent signals tell you when to act, and who to act on, right now.
The practical workflow: intent data narrows your target account list from 5,000 to 500. Intent signals tell you which 5 people at those 500 accounts are active today. Data sets the strategy. Signals set the timing.
The cost equation nobody talks about
Intent data subscriptions are expensive. Bombora starts at roughly $25,000 per year. 6sense and Demandbase enterprise packages run six figures. For well-funded sales teams, the ROI justifies the cost. For startups, solo founders, and small teams, it is out of reach.
Social media intent signals are free at the source. Follows and likes on X are public data. Anyone can see them. The cost is not in the data itself but in the system to capture, classify, and surface it.
This is a significant advantage for smaller teams. You do not need a $25,000 Bombora subscription to know that a VP of Sales just followed three of your competitors on X. You need a monitoring system and a classification layer. Tools like Catch The Good Ones provide both for a fraction of the cost of traditional intent data providers.
The democratisation of intent is happening through social media. The signals are free. The timing advantage is real. The only question is whether you have a system to capture them before they go cold.