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Intent Signals for B2B Outbound How to Find Buyers Who Are Ready Right Now

Introduction

The single biggest lever in B2B outbound is not copywriting. It is not subject lines. It is not send time.

It is timing.

The same message sent to the same person can get a reply or get deleted based entirely on whether they are currently thinking about the problem you solve. Intent signals are the way to know.

This post explains exactly what intent signals are, which ones matter most for outbound, how to find them across LinkedIn, Twitter, and Instagram, and how to turn them into personalised outreach that converts at 4 to 5x the rate of cold list outreach.

What is a buying intent signal

A buying intent signal is any observable behaviour that indicates a person is actively thinking about buying in your category.

The key word is observable. In 2026, a huge proportion of the B2B buying process is visible on social platforms. Buyers post about their problems publicly. They comment on competitor content. They share frustration with their current tools. They ask their network for recommendations. They announce new hires that signal a new initiative.

All of this happens in public, before any sales conversation starts. Intent signals are about monitoring that public behaviour and acting on it at the right moment.

The 10 most valuable intent signals for B2B outbound

Signal 1 — Frustration posts A prospect posts about a problem your product solves. "Does anyone else find [problem] completely unsolvable with current tools?" or "Our reply rates have been terrible this month — what are you all doing differently?"

Conversion rate: very high. The prospect has publicly identified the pain. Your outreach arrives at the moment of maximum awareness.

Signal 2 — Competitor engagement A prospect likes, comments on, or shares content from one of your competitors. This is the clearest possible signal that they are actively evaluating the category. They are already considering a purchase. Your timing is perfect.

Conversion rate: very high. They are literally researching your category.

Signal 3 — Job change A prospect moves into a new role — especially a revenue, sales, or GTM role. New leaders almost always evaluate and often replace their tool stack in the first 90 days. This is one of the most reliable purchase signals in B2B.

Conversion rate: high, especially in the first 30 days of the new role.

Signal 4 — New sales hire posting A company posts a job description for a sales, SDR, or revenue operations role. This signals they are investing in outbound and are likely to need the infrastructure to support it. Budget is being allocated right now.

Conversion rate: high — budget is actively being spent.

Signal 5 — Funding announcement A company announces a funding round. New capital almost always triggers tool evaluation. The team is growing, budgets are expanding, and the current stack is being reassessed.

Conversion rate: medium to high, best within 2 weeks of announcement.

Signal 6 — Competitor complaint A prospect publicly criticises a competitor's product. "Really frustrated with [competitor] — anyone found a better alternative?" This is the warmest possible outreach opportunity. They are actively looking for exactly what you offer.

Conversion rate: very high. Reach out within hours.

Signal 7 — Content engagement on your category A prospect suddenly starts engaging with content in your category after a period of silence. Three comments on outbound strategy posts in the same week. This shift in behaviour signals they are actively researching.

Conversion rate: medium to high — they are in research mode.

Signal 8 — Event RSVP or attendance A prospect attends or RSVPs to an event related to your category. A GTM conference, a sales leadership webinar, an outbound-focused meetup. They are investing time in learning — which precedes buying.

Conversion rate: medium — good signal of category interest.

Signal 9 — Product review activity A prospect leaves a review on G2 or Capterra for a competitor or a complementary tool. This is a high-effort signal — they took time to write a review, which means they are deeply engaged with tool evaluation.

Conversion rate: medium to high.

Signal 10 — Team expansion posts A prospect posts about their team growing, hiring multiple roles simultaneously, or celebrating a growth milestone. Fast-growing teams need tools that scale. They are in buying mode across their stack.

Conversion rate: medium — broader signal but indicates budget availability.

How to monitor these signals at scale

Manually monitoring LinkedIn, Twitter, and Instagram for these signals across an ICP of thousands of people is not possible. You need a tool that does it automatically.

The workflow looks like this:

Define your ICP — job titles, company sizes, industries, locations. This is your filter.

Set your signal keywords and behaviours — which topics, competitors, and actions indicate buying intent for your specific product.

Monitor in real time — the tool watches every post, comment, like, and engagement from people who match your ICP across LinkedIn, Twitter, and Instagram.

Surface and prioritise — leads who trigger multiple signals score higher. Someone who just changed jobs AND commented on a competitor post AND hired a new sales rep is your hottest lead this week.

Reach out with context — your message references the specific signal: "I saw you posted about [topic] — we built Typpout to solve exactly that."

Typpout automates this entire workflow at typpout.com. You define the ICP and signals. Typpout does the monitoring, enrichment, and outreach — including AI reply handling so warm leads convert to demos automatically.

The reply rate difference in practice

Teams who switch from cold list outreach to intent-signal outreach consistently report the same pattern.

Cold list reply rate: 2 to 3% Intent-signal reply rate: 8 to 11%

Same ICP. Same message template. Same sending volume. The only variable is that the intent-signal leads were actively thinking about the problem when the message arrived.

At 300 emails per day, the difference is 6 to 9 replies per day on cold lists versus 24 to 33 replies per day on intent-signal outreach. That is the difference between 2 demos per week and 8 demos per week from the same effort.

Try Typpout's intent-signal monitoring free for 14 days at typpout.com or book a 15-minute demo: https://calendly.com/grow-with-typpout/demo

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