What To Do With The Data
TL;DR -Don't just dump it into a spreadsheet. Normalize it, score it, and route it.
Run your visitors & targets through a lead-scoring workflow, enrich and de-dupe, then push clean, ranked records to the right owner or channel (sales, email, ads, automations). Measure outcomes and tighten the loop.
1) Make the data usable (fast)
Clean & normalize: consistent domains, company names, job titles, locations, industries, headcount, tech stack.
De-dupe & unify: merge by domain + email + LinkedIn URL; keep a single source of truth.
Enrich (when helpful): firmographic (size, funding, locations), technographic, recent hires, posts, intent keywords.
2) Score it before you spend time
Our preferred flow (and what our tool does):
Deep research pass (like an SDR would): site scan, product pages, careers, tech, press, social, buying triggers.
Compare to your scoring rubric (fit + timing + authority + signals).
Write to a database with a transparent score, reasons, and recommended next step.
Visualize: a simple dashboard to answer questions like "Show the top 10% not in our CRM" or "Who's hot this week?".
Outcome: a short, high-conviction list and a long bench you can nurture—without burning your team or your domain.
3) Route by priority (A/B/C)
Tier A (Ready now) → assign to AE/SDR with a 1:1 microsite + personal email/LI follow-up.
Tier B (Promising) → enroll in a warm sequence (microsite on step 2/3), re-score on engagement.
Tier C (Potential) → nurture via content/remarketing; re-enter when intent spikes.
4) Turn data into action, channel by channel
Sales handoff
Auto-create CRM records with the score + "why now."
Notify owner in Slack/Teams with a link to the microsite and talk-track.
Cold email prep
Segment by ICP slice; personalize subject and first line with the scoring "why."
Insert the prospect's personal microsite as the single CTA.
Paid ads / remarketing
Build matched-audience segments from scored domains/titles; tailor creative to the "why."
Warm DM that references their signal; drop the microsite when they reply.
Website automations
If a scored company/visitor returns, auto-generate a new microsite and alert their owner.
Persona building
Use top-scored wins to refine messaging, objection handling, and landing-page variants.
5) Close the loop (measure & learn)
Track: visit rate, time on microsite, button clicks, reply/meeting rate, cost per meeting, win rate by score tier.
Feed every result back into the scorer (what predicted wins?) and update the rubric monthly.
6) Governance you'll thank yourself for
Schema: company_domain, company_name, industry, size, tech, contact_name, title, email, LI_url, signal, score, reasons, owner, status, last_touch.
Version & log: when scores change and why.
Compliance: respect do-not-contact, suppression lists, regional rules.
Starter checklist (copy/paste)
-Clean, de-dupe, enrich. -Score every record (fit + timing + authority + signals). -Push Tier A to sales with microsites; Tier B to warm sequence; Tier C to nurture. -Build audiences for ads/LI from scored segments. -Instrument microsites (visits, time, clicks) and pipe events to CRM. -Review monthly: top converting scores/reasons → update rubric & messaging.
Use the data to decide, not just store. A tight scoring + routing loop turns raw intent into booked meetings—consistently.