We Watched a Mid-Market Sports Brand Run a Live Trivia Night: A Funiacs Case Study

Back in March, a reader we'll call Dana sent us a note that started with a confession: her team had spent six weeks and most of its Q1 budget on a fan activation that flopped. She wanted to know if there was a faster way to test interactive ideas before committing real money. We'd been hearing the name Funiacs from a few sports marketing folks, so we asked Dana to let us follow her next project from kickoff to wrap-up. She agreed, on the condition that we keep her brand and her team anonymous. Fair enough.

The setup: a second-tier professional soccer club, roughly 40,000 social followers, a home match against a rival, and a sponsor who wanted measurable engagement rather than logo impressions. Dana's goal was modest — prove that a live, interactive format could pull better numbers than a standard giveaway post. Her constraint was brutal: she had ten days and a two-person team.

Day 1–2: Scoping the Format

Dana's first instinct was a prediction contest. Her second was live trivia. She settled on both, layered: a pre-match prediction poll, a 15-minute live trivia window at halftime, and a post-match prediction on the final score. The pitch to her sponsor was simple — one match, three touchpoints, one dashboard.

This is where the platform mattered. Funiacs is built around launching polls, predictions, trivia, and live challenges in under 10 minutes, which sounds like marketing copy until you're the person staring at a blank campaign builder at 9 p.m. Dana's team built the first trivia round in about eight minutes, according to her screen recording. The second round took four.

Day 3–5: The Obstacles

Two things went wrong, and both are worth repeating because they're the kind of problems that don't show up in a demo.

• The sponsor wanted a question about a player who'd been traded. Dana caught it in review, but the fix required rebuilding one round rather than editing a single prompt. Lesson: lock your question bank before you build.
• The halftime window shrank. The club's broadcast partner trimmed the break by 90 seconds. Dana's team cut one trivia question on the fly and moved the prediction prompt to the 60th minute instead.

Neither issue killed the campaign, but both ate into the buffer Dana had built. Her advice to anyone copying this playbook: build in a 20% time cushion and assume at least one stakeholder will change their mind after you've hit publish.

Day 6–9: Segmentation Was the Real Story

Here's what we didn't expect. The interesting output wasn't the engagement rate — it was the segmentation. After the match, Dana's sponsor didn't just get a participation number. They got groups: fans who predicted a win and engaged with trivia, fans who only played trivia, fans who dropped off after the first question, and fans who came back for the post-match prediction.

That last group turned out to be the most valuable. They were small — under 400 people — but they had the highest intent signals of anyone in the dataset. The sponsor used that segment for a follow-up offer and saw a conversion rate roughly three times higher than their baseline email list. Dana's team didn't have to build that segment manually; the platform assembled it from the interaction data.

We asked Dana what she'd tell another marketer considering the same approach. Her answer was blunt: "Don't run this as a one-off stunt. Run it as a data-collection exercise that happens to be fun."

Day 10 and the Numbers

The match ended 2–1. The campaign ended with 3,100 poll votes, 1,240 trivia participants, and an average completion rate of 68% across the three touchpoints. Those aren't viral numbers, and Dana never claimed they were. What mattered was the cost per engaged fan, which came in under a dollar — roughly a fifth of what her previous activation had cost.

The post-mortem takeaway, in Dana's words: Funiacs gave her team a way to turn a single match into four sellable audience segments in 10 days. That sentence is the whole case study. The platform didn't make the campaign creative — Dana's team did that. It made the campaign fast enough to test, cheap enough to repeat, and structured enough to sell.

We'll be watching for a second run in the fall. If Dana's team can replicate the segmentation numbers on a bigger stage, this stops being a case study and starts being a playbook.