Research
Template Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow TemplateTemplate Image - Brandio Webflow Template

create the future

Innovation
Institute
Design

Build an agile, resilient AI system for your business.
We specialize in these foundations.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat.

Back

Accelerating Sponsorship Strategy with AI-Powered Audience Intelligence

The Challenge

When celebrity ownership thrust a growing professional league soccer team into the global spotlight, the owner faced an urgent opportunity: identify high-potential sponsorship partners fast enough to capitalize on unprecedented buzz while honoring deep local loyalty. Traditional audience research would take months and cost more time and budget the moment couldn't afford.

The agency needed to demonstrate a faster, smarter approach. They engaged Aion Labs and D&P to prove that AI-powered intelligence could deliver strategic sponsorship recommendations without sacrificing depth or accuracy.

Sponsorship Mentions Qualified by Volume

Of the various sponsorship types, Event and Team sponsorships are the most discussed while Stadium or Ground sponsorships are the least discussed.

Our Solution

We deployed the proprietary Lyrical 2.0 technology stack—including the Dalloway social intelligence engine and Foresight NLP engine—to analyze massive data volumes at unprecedented speed.

The scope was ambitious: 6.5 million documents analyzed, 250,000 Twitter followers segmented into six distinct audience clusters, and a virtual survey of 24,000 local fans—the "Wrexham Local Fan" segment we identified as most valuable for sponsorship targeting.

The timeline was aggressive: one week from data ingestion to strategic recommendations.

Our AI engines extracted psychographic profiles, demographic patterns, and brand affinity insights that would normally require months of surveys, focus groups, and manual analysis. We mapped sponsorship mention volumes across nine categories (Event, Team, Title, Tournament, Kit, Match, Sport, Stadium, and Athlete) to understand fan conversation patterns and identify white space opportunities.

The Results

Of the various sponsorship types, Event and Team sponsorships are the most discussed while Stadium or Ground sponsorships are the least discussed.

Identified High-Affinity Sponsor Categories

Analysis revealed optimal opportunities in beverage, telecommunications, and fashion—categories with natural alignment to the fan base's consumption patterns and brand preferences.

Named Specific Target Brands

Rather than generic recommendations, we identified precise targets including Monster Energy, TalkTalk, and Barbour—brands that matched the psychographic and behavioral profile of Wrexham's core audience.

Created a Vivid Fan Persona

We constructed a composite audience profile representing the 24,000-strong local fan segment. "Mark" is a 34-year-old production operator at Hydro Wrexham, married with two kids, household income of £67,000, heavily interested in sports and entertainment. He's a melancholy pleasure seeker with strong independence, heavily influenced by brand names, and prone to spur-of-the-moment purchases using credit cards. This persona gave the sponsorship team a tangible target to evaluate partnership fit.

Mapped Sponsorship Conversation Trends

Our analysis of mention volumes revealed that Event and Team sponsorships generated the highest fan engagement, while Stadium naming rights received comparatively minimal discussion—critical intelligence for prioritizing sponsorship types and investment levels.

Delivered Enterprise Value at Startup Speed

The complete analysis—including segmentation, persona development, category recommendations, and brand targets—would have cost $30,000+ through traditional research methods and required 8-12 weeks. We delivered it in one week at a fraction of the cost.

Created a Replicable Model

The agency now possesses an AI-driven framework they can deploy across their broader sports and entertainment portfolio, dramatically accelerating time-to-insight for future clients.

Why This Approach Works

Traditional sponsorship and marketing campaign research relies on slow, expensive methodologies that can't keep pace with cultural moments. By the time conventional research delivers insights, the opportunity has often passed. Our Lyrical 2.0 platform analyzes millions of authentic conversations in days, not months—revealing not just what fans say in surveys, but how they actually behave in natural digital environments.The result? Sponsorship strategies built on behavioral truth, delivered at the speed of opportunity.

Ready to identify your next perfect partnership?

Our AI-powered audience intelligence reveals precisely who your fans are, what they value, and which brands they'll embrace. Contact Davis & Partners to accelerate your sponsorship strategy from months to days.

Contact

Get in Touch – Get in Touch –

Get in Touch – Get in Touch –

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.