InfluencerDiscovery
Lickly’s Influencer Discovery Module finds the creators most likely to perform for each audience segment without sacrificing brand fit. It combines audience intelligence, content analysis, and proprietary scoring to surface creators who match the segment’s interests, language, and buying mindset. Every recommendation is backed by data you can review and defend, so teams move faster from strategy to outreach with fewer misses.
AI-DrivenMatching
Instantly surfaces best fit creators for each audience segment using segment-level keywords, audience affinities, and your brand criteria. Lickly prioritizes creators based on relevance and expected impact, then shows the specific signals behind the match so you can validate the fit before you commit budget.
Right Creator, Proven
Score What Actually Matters
TheLicklyScore
The Lickly Score is Lickly’s proprietary metric for quantifying creator fit across multiple dimensions. It helps teams compare influencers quickly, standardize evaluation across campaigns, and avoid decisions based on follower count alone. It evaluates factors including:
How well the influencer’s content aligns with audience interests
Correlation between the influencer’s followers and target demographics
Engagement quality and interaction authenticity tone, sentiment, and emotional resonance
BrandSafetyIntelligence
Approvals move faster when safety checks happen upfront. Lickly reviews each creator’s content and history using brand-specific safety parameters to flag risks or misalignments before scheduling. You set the guardrails, see what triggered a flag, and keep campaigns on track with fewer surprises.
Risk, Flagged Early
Always Improving Engine
FeedbackLearningLoop
Learns from user input and campaign outcomes to refine future influencer recommendations automatically.
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