"Before Favikon, I would look on LinkedIn and reach out to Influencers and email them, but I just wasn't sure if they were a good fit. With Favikon, it takes seconds for me to do a search, and then it shows me if they would be a good fit or not. I can see their recent posts. It's insane how much time it saves me - and I finally feel confident recommending these influencers to the execs."
- Sarah Fleer, Client Partner at Spotlight Analyst Relations
About Sarah
Meet Sarah Fleer, Client Partner at Spotlight Analyst Relations, an agency based in Kansas City specializing in Influence Orchestration across multiple different pools of trust, analysts and influencers, customers, vendors, employees, and partners. Sarah jumped into influencer relations with very little prior influencer marketing experience and no dedicated tools. In under a year, her team developed a full discovery and vetting workflow, secured a paid creator contract, and is now expanding the program across multiple clients and verticals.
About Spotlight AR
Spotlight AR is the largest analyst relations company in the world — working with research firms like Forrester, Gartner, and IDC. The agency recently expanded into influencer relations, redefining influence strategies and activating them with deep knowledge and expertise in analyst relations. Spotlight is broadening and deepening their customer influence services for those seeking to harness the entire ecosystem of influence. They aim to build creator programs that prioritize long-term relationship building over one-off sponsorships.
ICP & Persona
Payments Professionals | Fintech Subject Matter Experts | Agentic Commerce Voices | B2B LinkedIn Creators | Nano to Macro Influencers across Global Markets
Before Favikon
Before discovering Favikon, Sarah’s team faced a fundamental challenge: influencer relations was an entirely new practice, and the tools available weren't built for what they needed.
• Fully manual process: Sarah relied on LinkedIn searches and AI tools like ChatGPT, Claude, and Gemini to find creators — but none could reliably surface niche fintech voices or provide structured profile data.
• No confidence in recommendations: Without data to back her selections, recommending creators to senior leadership felt uncertain and difficult to defend.
• Slow and labor-intensive: Finding and vetting a single creator manually took one to two hours — with no guarantee the result was the right fit.
• No way to organize at scale: Managing multiple creator lists across different business units with no dedicated system made scaling the program feel out of reach.
After Favikon
The team integrated Favikon as the foundation of their influencer relations workflow, used across three phases of their program:
1/ Discovery
Sarah uses Favikon's AI Search as her primary tool — and she learned quickly that specificity is everything. She created an internal best-practices document for her team, emphasizing how detailed prompts combined with layered filters produce dramatically better results.
She filters by topic coverage, geography, creator tier, and gender diversity — building globally distributed shortlists for different business units.
Result: Shortlists of highly qualified, niche fintech creators delivered in minutes instead of hours
2/ Vetting and Data-Driven Selection
Once a search returns results, Sarah uses Favikon's profile data to assess fit before spending credits on a full unlock. Coverage topics, recent posts, and audience signals give her the confidence to make recommendations she can stand behind in front of the executive team.
When a recommended creator was rejected by the client, she went back to Favikon, refined her search based on the specific feedback, and had a new candidate — one she had never encountered in her manual research — within minutes.
Result: A faster, more confident shortlisting process that holds up to executive scrutiny
3/ Contacts, Campaigns, and Relationship Management
She is now rolling out Campaigns to track earned media value (EMV) for each creator partnership, with the goal of reporting concrete performance data back to leadership. For their first paid creator relationship the plan is to track every post through Favikon and build a running ROI report from the data.
Result: Organized, measurable creator programs across multiple client business units
Results
Since implementing Favikon, her team has:
• Gone from a new influencer infrastructure to a fully operational creator program in under a year
• Secured their first paid creator contract with a top fintech LinkedIn voice
• Reduced creator research time from one to two hours per profile to seconds
• Built a confident shortlisting process that holds up to executive review
• Created internal documentation and best practices for scaling Favikon usage across the team
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