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TAM Sports expands monitoring to live streaming on CTV and mobile

New cross-platform framework tracks brand visibility across broadcast and streaming feeds

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MUMBAI: TAM Sports, the sports intelligence arm of TAM Media Research, is widening its monitoring net. The company has expanded its advertising tracking to include live streaming across connected TV (CTV) and mobile platforms alongside traditional linear live broadcasts, sharpening its ability to measure brand presence in the fast-evolving sports media landscape.

The move comes as sports viewership increasingly splinters across multiple screens and streaming environments, pushing advertisers, sponsors and rights holders to seek credible data on how their brands perform across platforms.

For more than 15 years, TAM Sports has provided independent monitoring of sponsorship exposure for federations, leagues, teams, sponsors and agencies. By adding live streaming feeds on CTV and mobile to its analytics stack, the firm now enables stakeholders to track advertising occurrences and brand appearances across streaming environments as well as conventional television coverage.

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LV Krishnan, chief executive officer, TAM Media Research, said media consumption around sports has transformed rapidly, and measurement systems must keep pace.

“Media consumption around sports has evolved rapidly, and measurement frameworks must evolve with it,” Krishnan said. “For more than a decade and a half, TAM Sports has continuously adapted to industry needs by providing credible, independent insights across platforms. This commitment is why federations, agencies and sponsors continue to rely on us as a trusted partner.”

Anshu Yardi, head, TAM Sports, said the increasingly fragmented video ecosystem has made unified analytics essential for stakeholders trying to assess the true impact of sponsorship investments.

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“In today’s fragmented video environment, sponsors, agencies and franchisees need a clear understanding of how their brand communication performs across screens,” Yardi said. “TAM Sports brings together cross-platform monitoring and analytics that help stakeholders track brand visibility, benchmark competitive presence and demonstrate measurable ROI from sports partnerships.”

The platform evaluates brand exposure across several dimensions. These include advertising occurrences during live coverage, in-content brand integrations, stadium branding visibility, audio mentions, editorial logo placements in print, and presence across digital and social media. Clients can also combine the data with brand-lift studies to assess the depth and prominence of sponsorship exposure.

By consolidating these monitoring and analytics capabilities within a single platform, TAM Sports aims to give rights holders and sponsors a clearer view of how their investments perform across broadcast, streaming, digital and on-ground environments.

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The company says the expanded system allows stakeholders to gauge competitive share of voice and sponsorship visibility across the broader sports media ecosystem.

In a world where fans switch effortlessly between television, phones and connected screens, the message from TAM Sports is blunt: follow the audience everywhere—or risk losing sight of the brand game altogether.

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iWorld

Schmooze launches AI matchmaker Riya to personalise dating

300,000 users try feature as retention doubles on Gen Z dating app.

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MUMBAI: Love might be blind, but now it’s also algorithmically curated and apparently quite chatty. Schmooze has introduced an AI-powered personal matchmaker named Riya, marking its latest push to move beyond swipe-led dating into deeper, personality-driven matchmaking. Unlike traditional matching systems, Riya interacts directly with users through conversations asking about everything from lifestyle and humour to relationship goals and family values. The idea is simple but ambitious: understand users beyond surface-level preferences and recommend matches that actually fit.

The feature builds on a pattern Schmooze had already observed. Its earlier AI tool, People Finder, allowed users to describe their ideal partner in detail and users did exactly that. Requests ranged from “an extrovert who works in tech and likes to cook” to hyper-specific traits, signalling a clear shift towards intent-driven dating.

That insight exposed a gap. While dating apps typically rely on probability-based algorithms, many users already know what they want they just lack a system that can interpret it meaningfully.

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Riya attempts to fill that gap using a conversational approach. Instead of rigid inputs, it gathers signals organically sometimes through casual questions about weekend plans or social habits while mapping deeper compatibility markers in the background.

To support this, Schmooze has built its own end-to-end voice AI stack and large language model, rather than relying on third-party systems. The move is aimed at keeping costs in check while handling scale, and ensuring tighter control over user data and privacy.

The early numbers suggest traction. More than 300,000 users have already interacted with Riya, with those users showing 2× higher retention compared to others on the platform. While the system is designed for short interactions, some users are spending up to 40–50 minutes in conversation occasionally even asking for date ideas, prompting the company to add personalised recommendations.

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The launch is the latest step in Schmooze’s broader attempt to rethink dating for Gen Z. Founded by Vidya Madhavan and Abhinav Anurag, the platform initially stood out by using memes as a proxy for personality tracking over 3.5 billion meme swipes across its base of more than 5 million users.

In a market dominated by global players like Tinder, Bumble and Hinge, Schmooze’s approach signals a shift from visual-first discovery to interaction-led compatibility. And with AI now stepping in as a digital wingman, the dating game may be moving from swipe right to speak right.

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