The Buying-Signals Checklist

The cost of not having one

Most outbound treats every company on the list the same, and reaches all of them at a random moment that has nothing to do with whether they are ready to buy. That is why reply rates are low. You are interrupting people who have no reason to care today.

Signals fix the timing. The same message, to the same company, lands very differently the week they hire a Head of Sales than it does six months either side. You are not finding different people, you are catching the right ones at the right moment. The strongest signal of all is when someone publicly engages with the problem you solve. Reaching out then feels less like cold outreach and more like joining a conversation they have already started.

What good looks like

Not every signal is worth your attention, and they are not equal. A signal worth watching is:

• Best of all, public and behavioural. Someone engaging with the problem, a competitor, or your content is raising their hand in public. That beats any event or bought data point.Commented “interested” on a relevant post, or engaged with a competitor.
• An event, not a trait. Something that happened on a date, not a permanent characteristic of the company.“Hired a Head of Sales last week”, not “is a growing company”.
• Tied to a need or a budget. The event has to plausibly create the problem you solve, or the money to solve it.A funding round means budget to spend and pressure to grow.
• Observable from the outside. You can see it without inside information: on LinkedIn, job boards, the news, or their own website.A new job posting, a funding announcement, a leadership change.
• Recent. Signals decay fast. The value is highest in the first days and fades within weeks.A role posted this week is worth far more than one from three months ago.
• Paired with fit. The strongest moment is a timing signal at a company that already matches your ICP.An ICP-fit company that just opened a second location.

The test: each signal on your list could be spotted today, from the outside, and tells you plausibly why this company might buy now.

What it looks like in practice

Here is a worked checklist for a B2B service business, ordered strongest first. The point is not to copy it, but to see the level of specificity, and the opening angle each signal earns you.

Three questions to find your own signals:

• Think about your last ten deals: what was changing at the company in the weeks before they reached out or said yes?
• What event suddenly makes your product relevant, when before it was easy to ignore?
• Which of these can you actually see from the outside today, without paying for data?

How to build it yourself

1. 1
   Reverse-engineer your last ten deals. For each, look at what changed at the company in the weeks before they bought: a hire, a raise, a new leader, a complaint. The signals that matter to you are hiding in your own history.
2. 2
   Keep the events, drop the traits. Anything that is always true, like industry or size, is fit, not timing. Keep only the things that happened on a date and created a reason to act.
3. 3
   Find where each one is visible. For every signal, work out where you could see it: LinkedIn job posts, funding news, profile changes, your own website analytics, news alerts. If you cannot see it, you cannot act on it.
4. 4
   Rank them by how close to a purchase they sit. A new Head of Sales is closer to buying than a company that merely grew. Spend your attention on the signals nearest the decision.
5. 5
   Set up a way to catch them. Saved searches, alerts, a simple tracker. The aim is to know within days, not months, because signals fade fast.
6. 6
   Write the opening angle for each. Decide in advance how you will open when a signal fires, tied to the event itself. Generic outreach throws away the timing advantage you just earned.

Build it faster with AI

Short on time? Paste this into ChatGPT, Claude, or any AI assistant. It will interview you and produce a first draft. Treat it as a draft, and only that. A model cannot weigh the nuances of how your business actually sells, and it cannot install the process into your CRM or run it for you. But it is a fast way to a solid first version.

You are a B2B demand generation expert. Help me build a buying-signals checklist I can actually monitor.

First, ask me these one at a time, and wait for each answer:
1. What do you sell, and what problem does it solve?
2. Think about your last five to ten customers. What was changing at their company in the weeks before they bought: a hire, a raise, a new leader, a complaint, a launch?
3. What event suddenly makes your product relevant, when before it was easy to ignore?

Important: only recommend signals that can realistically be detected from the outside. Choose from this menu, strongest first, and do not invent signals I cannot track:
- Public posts or comments about the problem I solve (the strongest, they are raising their hand)
- Engaging with a competitor's content
- Engaging with relevant content or influencers in my niche
- Engaging with my own company, content or website
- Hiring: a company posting a specific role
- Funding rounds and financing news
- Leadership changes and key new hires
- A new office, location or market
- Technology added to or removed from their stack
- A known contact of mine changing jobs

Then, using my answers and that menu, produce:
- A ranked list of the signals most relevant to my business, ordered by how close each one sits to a purchase
- For each: what it tells me, and which source above I would watch to catch it
- A one-line opening angle for each, tied to the event itself
- The two or three signals worth setting up first

Be specific to my business and my buyers. Do not pad it.