What is a buying signal and how to find them in bulk
Researching 1 company for signals takes 10 minutes. Scanning 50 companies takes half a day. Most salespeople skip this stage and write to 'potentially ideal' companies — without knowing if they're ready now. It's the most expensive prospecting mistake.
Buying signals = events that provide TIME context. 12 signals: hiring (especially in sales/marketing — scale is growing), a new branch (expansion), funding (budget), a new CEO/management (priority change), a new product (growing operationally), a technology change (openness to tools), a big contract (scale), problems in reviews (confirmed pain), growing traffic (rising demand), marketing activity (investing in demand), a business model change, reorganization. AI workflow:
- for each company on your list AI generates 'which signals would indicate they need our solution' (adapted to the product),
- for 50 companies AI scans: website, job posts, news, LinkedIn,
- AI returns a table: company | signal | evidence (URL) | strength (1-
- . You verify the top 10%.
- BAD
- Unstructured prospecting without ICP filters and generic outreach to random accounts.
- GOOD
- You sell a CRM. Your signal definition: the company hires salespeople (pipeline grows), opens a branch (scale), recruits in operations (overload), has 'call us/reach out' as the only channel (no system), complains in reviews about response time. AI scans 50 companies and returns: 12 companies have ≥2 signals. One of them: hires 3 salespeople + a 'customer service specialist' post + a Google review about slow response. That's a 'hot' lead.
You are a buying signal analyst. Context: I sell [PRODUCT] to [SEGMENT] companies. Pain points: [LIST]. Task: For the company list below, indicate which have buying signals: Companies: [LIST OF 10-50 COMPANIES] For each company: 1. Check (based on knowledge / state what to check): hiring, a new branch, funding, new management, a new product, a technology change, problems in reviews, growing marketing activity 2. List the detected signals with evidence (how do we know) 3. Rate the strength: 1-5 4. Propose 1 email opening sentence based on the strongest signal Format: a table company | signal | evidence | strength | opener.
Variations & alternative scenarios
Spreadsheet list version: AI proposes columns and scan automation (Make/Zapier).
Services version: add the 'growing marketing budget' and 'new public tenders' signals.
Practical exercise
Define 5 buying signals for your product. Take 10 companies from your list and run the scan prompt. Write down how many companies have ≥2 signals — that's your first 'hot' list.