Others stop at LinkedIn. We don't.

A B2B sales team runs a LinkedIn Profiles campaign targeting CMOs and VP Marketing at SaaS companies in the 51–500 employee range. The AI scores by title seniority, company headcount fit, and hiring activity, ranking the contacts most likely to close first. Disqualified profiles stay visible with the reason cut, so the rep can recalibrate their ICP in one click.

A digital marketing agency uses Google Maps to find restaurants, clinics, and salons with 3.5–4.0 star ratings and fewer than 20 reviews — businesses that clearly need help but aren't yet working with an agency. The AI filters out businesses without a website or with outdated contact info, surfacing the leads where outreach lands.

A skincare brand runs a TikTok campaign for beauty UGC creators with 50K–500K followers in MENA who post 3+ videos a week. The AI scores by audience fit (beauty/skincare niche) and engagement quality, filtering out creators with high follower counts but anemic engagement. Direct outreach, owned creator relationships — at $0.50/profile vs. JoinBrands' 8–15% platform tax + $50–500 per video.

A recruitment agency runs a LinkedIn Jobs campaign to find companies posting 3+ roles in the last 30 days — a signal of active hiring. A second LinkedIn Profiles campaign filters out companies that already employ a Talent Acquisition or Recruiter title in-house. What's left: companies hiring heavily without internal recruiters — the agency's ideal client.

An influencer marketing agency runs an Instagram campaign for sustainable fashion brands in the UK with 10K–100K followers and 4%+ engagement — the sweet spot for creator partnerships. The AI filters out fast-fashion accounts and trend-chasing resellers, surfacing brands with consistent on-brand content and a genuinely engaged audience.

A local services agency uses Facebook to find gym, restaurant, and clinic Pages with strong follower counts that post 3+ times a month — a signal of active marketing budgets and likely buyers. Dormant pages (zero recent posts) are cut automatically; the rest are ranked by follower size and posting cadence.

An SDR team runs a Twitter/X campaign on founders who tweeted about closing a Series A or Series B in the last 30 days. The AI ranks by intent signal — recency, follower count, tweet engagement — surfacing the highest-fit prospects to reach out to before competitors do.

A developer tools company runs a YouTube campaign to find tech course creators with 100K+ subscribers covering JavaScript and Python — a perfect audience fit for sponsorship deals. The AI filters out lifestyle and entertainment channels and prioritizes structured course playlists with strong view-to-subscriber ratios.

A founder runs a Reddit campaign to find posts and threads where users complain about a competitor product or articulate an unmet need. Engagement scoring ranks threads by recency, upvote count, comment volume, and keyword relevance — surfacing the highest-signal market-research opportunities to act on first.

A seed-stage founder runs a LinkedIn Profiles campaign to find fractional, interim, and advisor-stage senior operators — CMOs, CROs, CFOs offering part-time engagement. The AI ranks by past company quality, current title fit (Fractional, Interim, Advisor), and recent activity in the fractional executive space.