Influencer brand fit

Establish successful partnerships with AI: Discover how well an influencer matches your vibe

emma chamberlain
15.8M
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emma chamberlain
15.8M
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Sample analysis

The formula to calculate engagement rate is straightforward: Add up all the engagements (likes, comments, etc.) across their posts, divide by their followers, and multiply by 100.
Learn how we do this with AI
83
Great fit
81%
Marque Brownlee
@mkbhd
Content production quality
Content production quality quantifies how professionally crafted the posts are. Higher scores indicate better production quality
87%
Nike
@nike
Aesthetic similarity
Aesthetic similarity captures whether the creator and brand feeds share similar visual styles or not. Higher scores indicate similar visual appeal.multiply by 100.
85%
Tone similarity
Tones similarity measures the emotional alignment between the creator's and brand's posts. Higher scores indicate shared tones.
73%
Shared emotions:
Inclusivity
Caring
Originality
Surprise
Check all
Interest similarity
Interest similarity captures the shared interests between the creator and the brand. Higher scores indicate greater overlap of interests.
64%
Shared interests:
Tech
Sports
Adventure
Show business
Check all

The science behind the magic

Intelligent analyses of creators’ content

Our brand fit APIs perform a human like assessment of influencers’ content for verifying production quality, and domain expertise.

Understand the interests of  influencers’ audience

Influencers take your message to the masses, so peek into common ground: leverage shared interests and values for a resounding message for the audiences.

Focus on sales and growth

Successful campaigns balance brand awareness with revenue and sales numbers. Our APIs are built to identify, and quantify both of these.

Learn more about our influencer - brand fit APIs

Learn more about our Brand Fit APIs

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Learn more about our Brand Fit APIs

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All emotions

Marques Brownlee
@mkbhd
Apple
@apple
Shared Emotions
Excitement
Optimism
Surprise
All other Emotions
Admiration
Disapproval
Caring
Fear
Confusion
Disappointment
Neutral