FAQ
Frequently asked questions
Straight answers about the platform, the M³VR™ Reasoning Framework, brand safety, pricing and how fast teams see value.
FAQ
Straight answers about the platform, the M³VR™ Reasoning Framework, brand safety, pricing and how fast teams see value.
Frequently asked questions
Lickly is an AI-driven Decision Intelligence platform for marketing that transforms audience intelligence into decision intelligence. It helps marketers understand who to reach, which influencers are best aligned and where marketing dollars have the highest probability of driving growth.
Marketing Decision Intelligence uses data, AI and reasoning to help marketers determine what action to take, not simply provide more data to analyze. Lickly applies Decision Intelligence to audience, influencer and campaign decisions so marketers can act with evidence behind the decision.
Lickly is built for brands, agencies and marketing teams that use influencer marketing and want a more rigorous way to understand audiences, select creators, manage campaigns and optimize marketing investment.
An influencer marketing platform helps brands and agencies discover influencers, evaluate creator and audience fit, manage campaigns and measure performance. Lickly goes further by connecting those capabilities with audience intelligence and AI-driven recommendations to help marketers decide what to do next.
Traditional influencer platforms often start with creator search. Lickly starts with the audience. It identifies the audiences that matter, evaluates which influencers are best aligned to them and connects those decisions to campaign management, brand safety, competitive intelligence and performance measurement.
Yes. Lickly is designed to work alongside existing marketing workflows and creator programs, allowing teams to use its intelligence and recommendations without requiring a complete replacement of their current processes.
Five: audience, creator, cultural, competitive and campaign. Audience intelligence defines who matters, creator intelligence identifies who influences them, cultural intelligence catches timing, competitive intelligence shows where the gaps are, and campaign intelligence measures what happened. M³VR reasons across all five before producing a recommendation.
Each module feeds the next. Audience intelligence defines the target, which drives creator recommendations, which flow into campaign execution and brand-safety screening. Competitive intelligence informs positioning throughout, and measurement feeds results back so the next set of recommendations starts from what actually happened.
Plans start at $1,999 a month for Growth, $3,299 for Performance and $5,699 for Advanced, with Enterprise by arrangement. Pricing is published rather than quoted on request, so you can size the investment before a sales conversation. Full comparison on the pricing page.
M³VR™ stands for Multi-Model, Multi-Vector Reasoning. It is Lickly's proprietary reasoning engine, designed to ground AI in verified data, reason across multiple models and signals and validate recommendations before they reach the marketer.
Lickly uses AI to analyze audience, creator, cultural, competitive and campaign signals and turn them into marketing recommendations. M³VR™ adds a structured reasoning and validation process so the output is more than an AI-generated answer.
General-purpose AI can help generate ideas and potential creator lists. Lickly is purpose-built for marketing decisions. It grounds recommendations in verified audience and creator data, reasons across multiple models and signals, validates the output and provides the evidence behind the recommendation.
M³VR™ is designed to reduce hallucination risk by grounding analysis in verified data, cross-checking outputs and filtering recommendations that cannot be sufficiently corroborated before they reach the marketer.
M³VR™ follows a Question, Verify, Reason, Validate process. It defines the decision, grounds the analysis in relevant data, reasons across multiple models and signals, then cross-checks the output before ranking the recommendations.
Multi-Model means multiple AI models can independently evaluate a decision rather than relying on a single reasoning path. Multi-Vector means the decision is evaluated across multiple dimensions of evidence, including audience, creator, cultural, competitive and campaign signals.
M³VR™ reasons across verified and proprietary audience and creator data together with relevant cultural, competitive and campaign signals. The specific data used depends on the marketing decision being evaluated.