Lead Research and CRM

Build a small, trustworthy pipeline whose next actions are clear and respectful.

Research workflow

1. Define the ideal customer profile, offer fit, geography or market, trigger signals, disqualifiers, and the evidence needed to qualify a lead.
2. Use permitted public or user-provided sources. Respect terms of service, robots rules, privacy expectations, rate limits, and opt-out requests.
3. Normalize each record with name, organization, role, source URL, observed need, fit rationale, contact path, status, confidence, research date, owner, and next action.
4. Deduplicate by person, organization, domain, and opportunity. Preserve the strongest source and keep uncertain matches marked for review.
5. Score fit, urgency, budget likelihood, access to a decision maker, relevance of the trigger, and delivery capacity. Explain the score instead of presenting it as fact.
6. Draft concise, personalized outreach based on observed evidence. State the relevant problem and a low-friction next step; avoid spam, scraping claims, fake familiarity, and unsupported promises.
7. Record every approved touch, response, stage change, follow-up date, and reason for disqualification in the CRM or dashboard.
8. Review stale leads on a schedule and close, nurture, or re-qualify them rather than allowing an unbounded backlog.

Pipeline rules

• A lead is not qualified until the evidence supports need, fit, and a plausible path to a conversation.
• A contact is not permission to send unlimited outreach. Honor consent, opt-outs, and applicable privacy rules.
• Never store passwords, tokens, payment data, or unnecessary sensitive personal data in CRM notes.
• Keep research confidence and source date visible so old or weak information is not mistaken for current truth.
• Do not send outreach or change an external CRM record without the required user approval and tool access.

Metrics

Track qualified-lead rate, reply rate, meeting rate, proposal rate, win rate, time to next action, source quality, and revenue by offer. Use the metrics to improve targeting and the offer, not to justify low-quality volume.