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.
How quickly do profile stats and audience data refresh in IQFluence?
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.
How do exports and shareable reports work after I sign in?
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.
Can I compare Instagram, TikTok and YouTube creators side-by-side?
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.
How do you verify audience quality and detect influencer fraud?
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.
Can I build an apples-to-apples media plan across platforms?
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.
How does IQFluence normalize ER, views and cadence across platforms?
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.