Scrolling endless bios, guessing audience quality and chasing DM replies takes days and yields spotty results - or you run a systematic selection. Our AI analysis checks content relevance, engagement, audience makeup and fraud signals so you get verified, campaign-ready relationship creators fast.
Hire Top Relationship Creators For Your Next Campaign
Select, review and access this Top-20 roster of relationship influencers on Instagram - AI-vetted profiles, audience breakdowns and contact exports ready to go.
Profile and audience metrics refresh in seconds for pasted profiles, with rolling 30-day views across key metrics. Live posts are auto-captured and recent stats normalize ER%, views and cadence so you can compare creators side-by-side with up-to-the-minute L30D data.
After signing in you can export profile analyses, saved lists, media plans and campaign data as PDF, JSON, CSV, Excel or a live Google Sheet. Exports and shareable dashboards are generated from shortlisted creators; API endpoints deliver profile, audience and performance data for internal tools.
Yes. We standardize Instagram, TikTok and YouTube metrics - ER%, views and posting cadence - using the rolling last-30-days, so you can view creators in one apples-to-apples grid, compare audience demographics and performance, then export side-by-side profile sheets for shortlisting.
We combine behavioral and content signals with audience forensics: semantic analysis of posts/transcripts and hashtags, engagement consistency over 30/90 days, follower growth patterns, view distributions (min/avg/max), audience gender/geo/language checks, and fraud flags—so creators with inorganic spikes or bot-heavy audiences surface before shortlisting.
Yes — we create an apples-to-apples media plan across platforms. IQFluence standardizes ER%, views and posting cadence on a rolling L30D, delivers creator rows in a single Google Sheet, and exports side-by-side profile sheets so you can shortlist, compare demographics and approvals in one unified grid.
We use a rolling last-30-days baseline: collect recent posts, convert likes/comments/views into ER% with posting cadence context, and derive min/avg/max view bands. Those L30D metrics are normalized across Instagram, TikTok and YouTube so ER, views and posts/mo are comparable in one grid.