Lead generation for SaaS companies: a 2026 playbook

Step 1 — Define your ICP as filterable criteria

Vague ICPs ("B2B SaaS doing $1M-$10M ARR") don't map to scraper filters. Translate into observable signals: industry (LinkedIn industry tag), company size (LinkedIn employee count range), tech stack (BuiltWith / Kavex tech detector), recent hiring (LinkedIn job posts), funding stage (Crunchbase).

Step 2 — Build the list from 2-3 sources

Single-source lists are weak. The pattern that works:

• LinkedIn Lookalike — give Kavex 10 of your best customers, get 30 similar companies
• LinkedIn Triggers — set up a watch for funding announcements in your category
• Google Maps — for local-business SaaS (restaurants, salons, dentists)
• LinkedIn Company People — pull the actual buyer name + role at each target

Step 3 — Enrich with email + intent signals

Email Finder + Email Verifier to get to deliverability ≥98%. Tech Stack Detector to score "this company uses our integration" leads higher.

Step 4 — AI personalise the first touch

Kavex AI Personalizer takes the lead's context (industry, headline, recent LinkedIn post, tech stack) and writes a 60-word cold email in your sender voice. Reply rates 3-5× higher than generic mail-merge.