Audience Fit Scoring

Audience Fit Scoring analyzes how well a creator's audience matches your target customers. Higher scores indicate better potential for conversions.

Spark! calculates fit scores based on multiple factors:

• Demographic Match — Age, gender, location overlap with your customers
• Interest Alignment — Audience interests relevant to your products
• Engagement Quality — Real engagement vs. bot/fake followers
• Content Relevance — How related the creator's content is to your niche
• Brand Safety — Content appropriateness for your brand

For each creator, Spark! provides audience demographics:

• Age Distribution — 13-17, 18-24, 25-34, 35-44, 45-54, 55+
• Gender Split — Male, female, non-binary
• Top Countries — Geographic distribution
• Top Cities — Urban concentration
• Language — Primary languages spoken

Go beyond follower counts with engagement metrics:

• Engagement Rate — Likes + comments / followers
• Authenticity Score — Real vs. fake engagement detection
• Comment Quality — Meaningful comments vs. spam
• Save/Share Rate — Content virality indicators
• Follower Growth — Organic vs. paid growth patterns

Configure scoring weights based on your priorities:

1. Go to Settings → Creator Discovery → Fit Scoring
2. Adjust weights for each factor (demographics, engagement, etc.)
3. Set minimum thresholds for automatic filtering
4. Save your custom scoring model