classification_json and how it shapes discovery
classification_json is a per-influencer JSON blob of niches, audience tags, and content tags. It's how lists know who to include and how brand search ranks results.
The shape
{
"primary_niches": ["beauty", "skincare"],
"secondary_niches": ["lifestyle"],
"content_tags": ["tutorial", "review", "before-after"],
"audience_tags": ["women-25-34", "skincare-enthusiasts"],
"language_tags": ["en", "tr"],
"country_focus": ["TR", "AZ"]
}How it’s set
Two paths:
- AI classification, an automated pipeline reads the influencer’s recent posts and proposes tags. The influencer reviews and confirms.
- Manual, influencers can add or remove tags directly from their profile.
The AI pipeline runs on every newly connected social account and re-runs monthly to keep tags current.
How brands use it
- List inclusion, lists are filters over
classification_json. A “Beauty influencers in Turkey, 50K-100K” list pulls everyone withprimary_niches: beauty×country_focus: TR× Micro tier. - Search ranking, search queries map to tags + boost results that match more tags
- Campaign targeting, campaigns can target tag combinations like discovery filters
Influencer perspective
The more accurate your classification, the more lists you appear on. Don’t claim 15 niches, pick 3-5 that genuinely describe you. Over-claiming hurts your ranking inside lists.