Skip to content
AI ConnectPowered by VELENTIS
AI-generated3 min

According to Infobip Study: Sports Brands Bet on AI but Struggle to Prove Fan Engagement ROI

According to an Infobip study, 57 percent of sports brands cannot prove fan engagement ROI. New conversational agents like PitchMate aim to turn live fan reactions into measurable data.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

A global survey conducted by cloud communications provider Infobip reveals a significant disconnect between commercial sports spending and measurable returns. The study surveyed 500 marketing and digital leaders across eleven countries to assess how organizations are modernizing their audience engagement strategies. Findings indicate that brands now allocate an average of 13 percent of their total marketing budgets specifically to sports activations. Furthermore, 87 percent of surveyed decision makers regard artificial intelligence as business-critical for the future of fan engagement. Despite these substantial financial commitments, many organizations still struggle to prove the tangible value generated by their digital campaigns.

The primary challenge identified in the report centers on an inability to verify financial performance. A notable 57 percent of participating brands stated that they cannot accurately demonstrate the return on investment of their fan engagement initiatives. In addition, 47 percent of companies reported failing at real-time interaction while live sporting events are actively underway. When on-field tension reaches its peak, marketing teams frequently lack the infrastructure required to convert fleeting viewer attention into durable digital touchpoints. Traditional sponsorship models consequently remain tethered to vanity metrics, offering little clarity on actual customer acquisition or long-term loyalty.

To address this gap between expenditure and provable impact, Infobip is accelerating the deployment of its agentic solution named PitchMate. Built upon the vendor's AgentOS platform, the conversational system delivers interactions directly through ubiquitous messaging channels such as WhatsApp and RCS. This approach eliminates the friction of requiring supporters to download standalone club applications, meeting audiences where they already communicate. PitchMate provides personalized real-time match statistics, contextual rules explanations, and prompt responses tailored to unfolding game dynamics. By integrating directly into everyday messaging ecosystems, the tool seeks to lower the barrier for immediate during-match participation.

A key technological feature within the software is its integration of persistent session memory alongside multimodal interaction modules. Beyond standard text exchanges, PitchMate incorporates an audio-driven module called Vocalize, which analyzes fan voice inputs in real time. Chants, cheers, and recorded voice notes are processed to fuel gamified interactions, allowing supporters to participate actively during critical match moments. Crucially, each interaction is captured as a structured, quantifiable data point within the underlying analytics architecture. Brands and sports franchises thereby gain actionable visibility into audience behavior that goes well beyond traditional broadcast impression estimates.

The findings and emerging software solutions underscore a structural shift across the sports marketing landscape. Static logo placements on stadium hoardings and jerseys are no longer sufficient for corporate sponsors demanding rigorous attribution models from their marketing departments. AI agents are increasingly viewed not as promotional novelties, but as essential tools to close persistent tracking and attribution deficits. Whether automated conversational systems can sustainably satisfy these expectations will depend heavily on whether fans perceive such interfaces as genuinely additive rather than intrusive during moments of intense sporting drama.

For the broader sports industry, this development highlights the ongoing evolution from rudimentary scripted chatbots toward fully autonomous agent networks. By linking live match data feeds, individual profile histories, and immediate messaging streams, organizations can establish a closed loop between active engagement and commercial conversion. If agentic frameworks succeed in proving quantifiable returns, speculative estimates in sports sponsorship may rapidly lose ground. The enduring challenge for sports clubs and commercial partners will be preserving an authentic fan experience while systematically expanding data-driven monetization strategies.

What this means for you

For sports organizations and sponsors, this shift signals that vague reach metrics are being replaced by demonstrable, real-time engagement data. Marketers will increasingly redirect budgets toward conversational agent architectures capable of converting emotional fan interactions into validated commercial touchpoints.

Evidence

Solidly sourced
62/100
  • A survey of 500 marketing and digital leaders across eleven countries revealed that brands allocate an average of 13 percent of their budget to sports activation, with 87 percent rating AI as business-critical.

    single source
  • 57 percent of surveyed brands cannot accurately prove the return on investment of fan engagement initiatives, while 47 percent fail at real-time match interaction.

    single source
  • Infobip launched its agentic PitchMate solution built on AgentOS, delivering real-time stats and the Vocalize voice analysis module over RCS and WhatsApp.

    single source

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: September 08, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
3
Verified statements
0 / 3
Evidence score
62Solidly sourced

Want to put this into practice?

We connect you with suitable AI providers from the DACH region, free of charge and without obligation.

What's next?