Most sales teams are drowning in data, starving for timing
The average B2B sales rep has access to more data than ever. CRM records, enrichment tools, contact databases, firmographic data, technographic data. They know who the VP of Engineering is at every target account. They know the company size, the tech stack, the funding round.
None of that tells them when to reach out.
Timing is the variable that turns a cold email into a warm conversation. Contact a VP the week after they started researching your category and you are helpful. Contact them six months too early and you are spam. The data is the same in both scenarios. The timing is everything.
What qualifies as an intent signal
Intent signals fall into three broad categories, each with different levels of reliability and freshness.
First-party signals are actions taken on your own properties. Website visits to your pricing page, demo requests, content downloads, email opens. These are the strongest signals because the person is engaging directly with you. Most marketing teams already track these.
Third-party signals come from aggregated data providers like Bombora or G2. They track content consumption across the web - which companies are reading articles about "CRM software" or "marketing automation." Useful, but delayed by days or weeks, and reported at the account level, not the individual level.
Social media signals are public, real-time, and individual. A follow, a like, a comment. When a VP follows your competitor on X, that is an intent signal. When an investor likes a startup founder's post about their product launch, that is an intent signal. These are the freshest and most public form of intent data available - and most sales teams ignore them completely.
Why social media intent signals are undervalued
Social media engagement is still treated as a marketing metric. Follower counts. Engagement rates. Impressions. The marketing team tracks them. The sales team ignores them.
This is a mistake. A follow is the most deliberate action someone can take on social media. It says: "I want to see more of what this person or company posts." That is not passive. That is active interest. When the person doing the following is a decision-maker at a target account, that active interest is a buying signal.
The same applies to likes. When someone likes a post about your product category, they are signalling relevance. They are telling you - publicly - that this topic is on their mind right now. Not six months ago when a third-party data provider scraped their browser cookies. Right now.
The timing advantage: hours vs weeks
Third-party intent data from providers like Bombora typically has a 7-14 day lag. The data is aggregated weekly, processed, and delivered to your platform. By the time you see that "Company X is researching CRM software," the research might already be over.
First-party signals are faster - you can see a pricing page visit within minutes. But they only capture people who already know you exist.
Social media intent signals sit in a unique position: they are real-time and they capture people who may not know you exist yet. When someone follows your competitor, that signal is visible immediately. When someone likes a post about a problem your product solves, that signal is visible immediately. You do not need to wait for aggregation. You do not need the person to visit your website first.
The companies that act on intent signals within 24 hours consistently outperform those that act within a week. Speed is the differentiator.
From signal to action: what to do with intent data
Collecting intent signals is pointless without a system to act on them. The signal decays fast. A follow today is a warm opening. The same follow, discovered three weeks later in a spreadsheet, is a cold email with a stale reference.
The practical loop looks like this: capture the signal, identify who it came from, determine if they match your criteria, and engage within 24 hours. That engagement does not mean a pitch. It means a genuine interaction - reply to their content, reference something specific, build familiarity. The pitch comes later, if at all, after a relationship exists.
Tools like Catch The Good Ones automate the first three steps for social media intent signals. The app monitors any public X account - yours or a competitor's - classifies every new follower and liker using customisable AI-powered filters you define in plain English, and surfaces the people who match your criteria. You define who matters. The system watches for them. Your job is the last step: engaging while the signal is still warm.
Intent signals are changing who owns the pipeline
Traditionally, marketing generates leads and sales closes them. Intent signals blur that line. A follow on X is not a marketing metric or a sales lead - it is both. It is a signal that needs to be routed to the right person and acted on quickly.
The teams that figure this out first will have a structural advantage. While competitors are waiting for Bombora reports and processing MQL lists, signal-driven teams are already in the conversation. They saw the follow. They engaged the next day. By the time the traditional team sends their cold email, the signal-driven team has already built a relationship.
The shift from data to timing is not a trend. It is a structural change in how outbound works. The companies with the most data do not win. The companies with the fastest signal-to-action loop win.