Opaque Nature of Influencer Marketing

Girl taking selfie on top of building
Artificial Intelligence
Marketing
Influencer Marketing
Content AI
Creative Intelligence
Myriam Galarneau
Myriam Galarneau
Feb 14, 2024

Influencer marketing became mainstream before it became measurable.

Even as brands keep allocating more spend to creators, the same questions keep showing up in leadership meetings. What did we actually get for that spend? Why did this creator work and that one didn’t? What should we repeat next month with confidence? 

Those questions are reasonable. Influencer marketing sits in one of the most public parts of the business. It runs in feeds. It shapes brand perception in real time. And it’s often funded out of discretionary budget, which means it gets scrutinized harder than channels that feel more standardized.

The problem isn’t that influencer marketing doesn’t work. The problem is opacity.

Where the opacity comes from Most creator programs still get built in a way that makes outcomes hard to defend.

A team starts with creators instead of audience. A brief gets written from internal opinion instead of real-time context. Reporting shows up late and focuses on surface metrics that don’t connect to business outcomes.

By the time a team knows what resonated, the moment has moved.

That gap creates waste. It also makes it hard for marketing leaders to communicate impact across the C-suite, especially when the question is repeated quarter after quarter.

A better starting point is upstream

Influencer marketing improves when decisions move earlier. Before anyone books a creator, teams need clarity on 3 things

  • Who the audience actually is right now

  • Which micro-communities are driving intent

  • What language, angles, and stories are already working inside those communities

That upstream clarity is what turns creator marketing from a one-off bet into a repeatable system.

How Lickly approaches it Lickly is built to reduce guesswork by improving decision quality before spend.

Our proprietary LLMs interpret high-volume conversations across the digital web, including social platforms, communities, user groups, forums, comments, and reviews. That lets us map micro-communities and build primary and secondary personas grounded in what people are saying and responding to in real time.

Those personas then drive the creative direction and influencer selection. The goal is simple. Pick stronger angles earlier. Choose creators that fit the audience contex. Build briefs that reflect what the market is already pulling toward

Why real-time matters 

Most underperforming campaigns are rooted in stale inputs.

When strategy is built off historical performance, generic audience assumptions, or broad trend reports, teams end up chasing yesterday. That’s when creator content can look polished and still fail to move product.

Real-time conversation intelligence changes that. It gives teams a live read on what’s shifting so they can adjust creative, creators, and distribution while the campaign is still in motion.

The ad market is larger than ever and still expanding. As feeds get more crowded, distribution becomes easier to buy and harder to sustain. In that environment, the advantage moves upstream to decision quality.

Influencer marketing doesn’t need more noise. It needs more clarity.

Lickly is built to provide that clarity, so teams can spend with more confidence and repeat what works.

Myriam Galarneau
Written by Myriam Galarneau

Myriam started her career in technical support and has since gained over 7 years of experience growing digital marketing and advertising platforms. As an expert in self-serve SaaS tools, she delivers product training, enablement and best practices to ensure the user experience is smooth and seamless. Having worked with clients across various industries, Myriam aims to personalize onboarding to focus on achieving a user's marketing goals within the Lickly platform.

Artificial Intelligence
Marketing
Influencer Marketing
Content AI
Creative Intelligence