Ideal Prospect List Criteria
Define who is worth contacting.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Define criteria for a prospect list. My offer and price: [OFFER_AND_PRICE]. Best current customers and what they have in common: [BEST_CUSTOMERS]. Customers who churned or were bad fits: [BAD_FIT_CUSTOMERS]. Market data: [MARKET_DATA]. Capacity (how many leads I can serve): [CAPACITY]. Return: 1. A scoring model: Criteria (industry, size, geography, tech stack or tools, buying trigger, role of the buyer, budget signals, urgency) | Weight | How to check it with public information | Scoring rules (0 to 3). 2. Tier definitions (A, B, C) with score ranges and outreach intensity for each. 3. Disqualifiers (reasons to exclude). 4. Sources for building the list (professional directories, industry associations, public company pages, event attendee lists with permission, customer referrals) and notes on legal and ethical sourcing: no scraping that breaks terms, check consent rules [VERIFY]. 5. A spreadsheet layout for the list: company, contact role, source, date, score, tier, trigger, next step, status. 6. A sampling test: score 20 known customers and 20 non-customers with the model to see whether it separates them. 7. A review routine each quarter. Do not invent customer data. Avoid using protected characteristics for targeting individuals.
Fill in before use
Optional: type your details and the prompt above updates. Nothing is saved or sent.
Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.