From broadcast ratings to blockchain: a three-phase patent evolution
Fan engagement personalization platform patents span a continuous arc from 2007 to 2026, organized into three distinct phases that reflect the field’s maturation from broadcast audience measurement to real-time, privacy-first, AI-driven fan ecosystems. Understanding this arc is essential for any IP strategy in entertainment, sports, or esports technology.
Phase 1 (2007–2014) was defined by foundational infrastructure: cross-platform data collection and weighted popularity prediction. Rovi Guides — later Adeia Guides — filed the seminal cross-platform interactive television ratings family beginning in 2007 across US, WO, EP, CA, CN, JP, and ES jurisdictions, an early recognition of the cross-platform challenge that would only intensify. Microsoft Technology Licensing followed with its Personalized Interactive Entertainment Profile in 2013, covering per-user digital history and social graph integration for gaming, while Electronic Arts began its multi-platform user value determination family in 2014.
Phase 2 (2015–2022) brought platform intelligence and fan-specific scoring to the foreground. SLCKET’s persona aggregation filing in 2017, Stagewood Consortium’s enthusiasm-based VIP access system, and Sony Interactive Entertainment’s influencer stream curation family (2022) all reflect a shift from passive audience measurement toward active fan identity modeling. The formal concept of fan scoring appeared as early as 2014 via TeamUp Oy’s social networking profile scoring patent.
Phase 3 (2023–2026) represents the current frontier: dedicated fan-vertical platforms, blockchain-based fan status certification, federated privacy-preserving personalization, and generative AI. Filings from Forever Fan Corporation (2025–2026), FandomIQ (2025), Google (2025), Adobe (2024–2026), Block, Inc. (2026), and the Dr. Mahalingam College of Engineering (2026, India) all mark the entry of domain-specific and privacy-first architectures into the patent record.
The fan engagement personalization patent dataset spans from 2007 to 2026 and covers patents from 14 distinct assignees across six identifiable technology sub-domains, with the US as the primary filing jurisdiction and secondary activity in Canada, China, Japan, the EU, India, and Korea.
The six technology clusters defining fan engagement personalization
Fan engagement personalization platforms are not a single technology — they are a stack of six distinct technical sub-domains, each with its own leading assignees, filing density, and competitive dynamics. Mapping them accurately is the first step in any freedom-to-operate or white space analysis.
Cross-platform identity aggregation refers to systems that acquire user data from multiple platforms — social media, e-commerce, gaming, streaming — and consolidate them into a unified persona. SLCKET Inc.’s 2019 US patent describes a consolidation engine that aggregates data across social media, e-commerce, calendar, and healthcare sources, with reward currency granted per interaction type and incentive mechanisms tied to survey completion.
Cluster 1 — Cross-platform identity aggregation and persona modeling addresses the foundational challenge of unifying fragmented user identities. SLCKET’s three-generation filing family (2017, 2019, 2024 US) represents the most sustained effort in this area. The 2026 pending filing from Dr. Mahalingam College of Engineering introduces federated learning: an on-device persona encoder learns multiple disentangled user personas from fine-grained local interactions, with encrypted persona prototypes aggregated via a global model without exchanging raw user data.
Cluster 2 — Predictive engagement scoring and popularity ratings is the most heavily patented cluster in the dataset, dominated by the Rovi/Adeia Guides interactive television ratings family. The core mechanism monitors user interactions across multiple platform types, assigns differential weights based on platform type, and generates predictive popularity scores. Adeia’s 2013 US patent extends the approach to media recommendation customized by user interest, demographics, community group, geographic location, and platform type. Comcast Spectacor’s 2023 US active patent explicitly applies this framework to sports fan engagement, tracking activities across social media, gaming, streaming, and retail platforms.
Comcast Spectacor’s 2023 US patent (active) tracks consumer activities across social media, gaming, streaming video, and retail platforms to determine brand engagement, with probabilistic item reward granting boosted by platform activity levels — explicitly applied to sports fan engagement.
Cluster 3 — Fan status certification, scoring, and loyalty rewards is where domain-specific fan platforms are emerging as distinct patent holders. Forever Fan Corporation’s 2025 US active patent computes fan status from social interaction, engagement time, money spent, and events attended, supporting a marketplace for transacting digital collectibles, stated as “preferably for fans of sports teams.” Stagewood Consortium’s 2023 US patent queries multiple social networks for fan communications about an event, computes an enthusiasm score, and selectively offers VIP access to the highest-scoring fans. FandomIQ’s 2025 US pending patent introduces a blockchain-secured marketing ecosystem that clusters fans based on their degree of “fanness” relative to content and brand.
Cluster 4 — AI-driven real-time recommendation and trend detection covers machine learning and generative AI systems. Sony Interactive Entertainment’s 2022 US active patent predicts engagement metrics for an influencer’s followers across multiple content channels using follower profile data, dynamically updating predictions during live sessions. Google’s 2025 US pending patent uses embedding-based similarity analysis within current time windows to identify emerging media trends. Block, Inc.’s 2026 US active patent introduces a generative ML model that synthesizes collaboration outputs from the preferences of the most engaged fans.
“The fan-specific certification and loyalty layer — Forever Fan, FandomIQ, Comcast Spectacor, Block — is only now being formally patented (2023–2026), representing a genuine IP white space relative to the general engagement infrastructure.”
Cluster 5 — Real-time audience analytics for live events encompasses tools that monitor moment-to-moment engagement during streaming or live events and generate actionable host interventions. Narayan’s 2022 US pending patent aggregates audience data during livestream sessions and recommends real-time interventions to hosts. Ahmann’s 2015 WO patent covers real-time audience segment behavior prediction. The academic literature corroborates the practical challenge: research on PUBG streaming on Twitch documents the moment-to-moment engagement prediction problem as a distinct applied ML task.
Cluster 6 — Privacy-preserving personalization is the most nascent cluster but the fastest-moving in 2025–2026. Google’s 2025 WO patent covers cross-platform action prediction without combining user data from two or more service platforms. Manipal University’s 2025 IN patent codifies a Digital Personalization Acceptance Model (DPAM) for Gen Z consumers, establishing privacy assurance as a core design element for user adoption.
Map the full patent landscape for fan engagement personalization with PatSnap Eureka’s AI-powered analysis tools.
Explore Full Patent Data in PatSnap Eureka →Assignee concentration and geographic filing patterns
Patent ownership in fan engagement personalization is highly concentrated at the top, with a long tail of specialized new entrants — a structure that has direct implications for freedom-to-operate analysis and M&A strategy.
Within this dataset, 14 distinct assignees filed relevant patents. The Rovi Guides / Adeia Guides Inc. family is the single largest filer, with at least 12 distinct patent records spanning US, CA, EP, ES, CN, JP, and WO jurisdictions from 2007 to 2023 — representing an unbroken 16-year filing strategy in cross-platform engagement prediction. According to WIPO, multi-jurisdictional filing strategies of this scope typically signal high commercial value and active enforcement intent.
Electronic Arts holds four US active patents covering cross-platform user value determination and platform-specific game customization (2014–2019). Sony Interactive Entertainment has three records across US and WO covering influencer stream curation and esports spectator onboarding (2022–2025). SLCKET has three US records across three generations of persona aggregation (2017–2024). The fan-specific layer — Forever Fan Corporation, FandomIQ, Comcast Spectacor, Block, Inc. — is held by newer, smaller entrants filing from 2023 onward, with filing counts of one to two records each.
The Rovi Guides / Adeia Guides Inc. patent family in cross-platform predictive popularity ratings spans at least 12 records across nine jurisdictions (US, CA, EP, ES, CN, JP, WO) and covers the period 2007 to 2023, making it the single most densely filed portfolio in this fan engagement personalization dataset.
Geographically, the US is the dominant filing jurisdiction. Secondary activity in Canada (Rovi/Adeia), China, Japan, and Europe reflects the established global television and media market. India emerges as a notable secondary jurisdiction for emerging personalization filings, with pending patents from Manipal University Jaipur, Dr. Mahalingam College of Engineering, Kanchi Sai Bharath, and Direign Technologies — all filed between 2023 and 2026. Korea adds two pending filings covering AI membership platforms and AI-metaverse friendship services. These secondary jurisdictions, monitored through tools such as those offered by PatSnap’s IP intelligence platform, can surface competitive signals before they reach primary markets.
The Rovi/Adeia family alone accounts for the majority of records in the predictive engagement scoring cluster, building on general broadcast engagement infrastructure developed from 2007. In contrast, the fan-specific layer (Forever Fan, FandomIQ, Block, Comcast Spectacor) is distributed across newer, smaller entrants filing from 2023, suggesting that domain-specific fan platforms represent an IP acquisition opportunity for verticals not yet covered by incumbent portfolios.
Application domains: where fan personalization IP is being deployed
Fan engagement personalization patents are not confined to a single industry vertical — they are being filed across six distinct application domains, each with specific technical requirements and commercial contexts. Sports and live events is the most explicitly targeted domain in the fan-specific filings, but esports, music, broadcasting, retail, and NIL athlete media are all represented.
Sports and live events is the clearest target. Forever Fan Corporation’s certification platform is stated as “preferably for fans of sports teams.” Comcast Spectacor — itself a sports and entertainment company — applies cross-platform engagement metrics explicitly to brand loyalty in the sports context. Stagewood Consortium’s VIP event access system directly enables differentiated experiences for the highest-enthusiasm sports and concert fans based on computed enthusiasm scores.
Esports and gaming draws on Sony Interactive Entertainment’s influencer curation tools and Electronic Arts’ multi-platform user value systems. Sony’s 2025 US active patent on esports spectator onboarding uses stored user profiles and ML-predicted preferences to generate personalized interactive educational content for new esports viewers — positioning fan acquisition and retention in esports as a distinct personalization sub-problem warranting dedicated patent protection. Research published in academic literature and tracked by IEEE has documented the moment-to-moment engagement prediction challenge in platforms such as Twitch, with PUBG streaming studies confirming the applied relevance.
Music and livestreaming includes Narayan’s 2022 US pending patent on livestream audience engagement monetization, Cammon’s 2023 US pending social media management tool for artists identifying content types that drive streaming counts, and Block, Inc.’s 2026 US active patent explicitly targeting music artists and fan communities through AI-synthesized collaboration recommendations.
Broadcasting and interactive television remains the most patent-dense domain due to the Rovi/Adeia Guides family (2007–2023, active across US, CA, CN, JP, EP, ES, WO), which applies cross-platform viewer interaction data to personalize media recommendations across devices.
Name/Image/Likeness (NIL) and athlete fan engagement represents an emerging niche. Barrett’s 2024 US patent automatically delivers digital rewards to fans who share athlete NIL media across social platforms, with unique identifiers tracking fan platform preferences across an athlete’s career — a direct response to the post-Alston ruling NIL commercial landscape in US collegiate athletics.
Identify white space in fan engagement personalization across sports, esports, music, and NIL verticals using PatSnap Eureka.
Analyse Patents with PatSnap Eureka →Five emerging IP directions for 2024–2026
The most recent filings in this dataset — those dated 2024 to 2026 — reveal five forward-looking directions that are moving from research prototypes to enforceable patent claims. Organizations building fan data platforms should treat these directions as both competitive signals and filing opportunities.
1. Blockchain-verified fan identity and digital collectibles marketplaces
Forever Fan Corporation’s two filings (2025 and 2026, US) and FandomIQ’s blockchain-secured marketing ecosystem (2025, US) represent a shift toward cryptographically certifiable fan status that anchors fan identity, loyalty rewards, and digital collectibles transactions on immutable ledgers. This creates transferable and monetizable fan assets beyond traditional loyalty points — a structural shift with implications for fan data monetization models endorsed by organizations such as WIPO in its evolving guidance on digital asset IP.
2. Federated and privacy-preserving personalization
The federated learning persona modeling filing from Dr. Mahalingam College of Engineering (2026, IN) and Google’s cross-platform action prediction without user data sharing (2025, WO) signal that privacy-preserving architectures are moving from academic research to applied patent protection. Manipal University’s DPAM model (2025, IN) codifies privacy assurance as a core design element for Gen Z consumer acceptance. These filings anticipate tightening regulatory environments around cross-platform data sharing — a trajectory consistent with regulatory developments monitored by OECD in its digital economy policy work.
3. Generative AI for fan-driven content creation and collaboration
Block, Inc.’s 2026 US active patent on engagement-based collaboration recommendations introduces a paradigm in which the most engaged fans — identified based on threshold consumption criteria — become active inputs into a generative ML model that synthesizes artist collaboration outputs from fan preferences. This extends personalization beyond content consumption into co-creative fan experiences, and it is among the earliest claims in this dataset to assert generative AI outputs in a fan engagement context.
4. Real-time trend embedding for contextual fan personalization
Google’s 2025 US pending patent applies embedding-based similarity analysis within live time windows to surface emerging media trends — a capability directly applicable to detecting and capitalizing on viral fan moments. Adobe’s trend-setter behavior prediction family (2024–2026, US) uses influencer behavioral signals to predict demand and route content before mass adoption, distributing targeted digital content based on anticipated item demand derived from influential platform participants.
5. Esports spectator onboarding as a personalization sub-domain
Sony Interactive Entertainment’s 2025 US active patent on esports spectator onboarding is notable for using ML-predicted preferences to generate personalized educational onboarding content. This positions fan acquisition and retention in esports as a distinct personalization sub-problem with dedicated patent protection — separate from the broader gaming engagement infrastructure covered by Electronic Arts’ earlier portfolio.
Block, Inc.’s 2026 US active patent on engagement-based collaboration recommendations introduces a generative ML model that synthesizes artist collaboration outputs from the preferences of the most engaged fans, identified by threshold consumption criteria — one of the earliest patents to claim generative AI outputs specifically within a fan engagement platform context.
Strategic implications for IP teams and R&D leaders
The patent structure of fan engagement personalization platforms reveals a clear two-tier landscape: a heavily defended foundational layer and a rapidly forming fan-specific upper layer that remains largely open. Acting on this distinction requires different strategies depending on where an organization sits in the stack.
The cross-platform identity layer is foundational and already heavily defended. Adeia/Rovi’s filing portfolio spanning 2007–2023 across nine jurisdictions creates a prior-art-dense environment for any new entrant building cross-platform engagement prediction. R&D teams should map freedom-to-operate carefully, particularly around weighted multi-platform data collection and predictive scoring methods. The PatSnap patent analytics suite provides the claim-level mapping needed to navigate this landscape.
Fan-specific certification and loyalty platforms represent a genuine white space. While the Rovi/Adeia family covers broadcast media and Electronic Arts covers gaming, the sports and music fan-specific layer (Forever Fan, FandomIQ, Comcast Spectacor, Block) is only now being formally patented (2023–2026). Organizations operating in those verticals have a narrowing window to file before the space becomes as contested as general engagement infrastructure.
Privacy-preserving personalization is transitioning from academic research to applied patents. Federated learning architectures (2026, IN) and cross-platform prediction without data sharing (2025, WO/Google) are early signals. Organizations building fan data platforms should file now on privacy-first personalization architectures before the space becomes crowded, particularly given the Gen Z adoption patterns documented in the Manipal University DPAM patent and the regulatory trajectory tracked by bodies such as the OECD.
Generative AI applied to fan engagement is nascent but accelerating. Block, Inc.’s 2026 filing on AI-synthesized artist collaborations driven by engaged fan input is among the earliest in this dataset to claim generative AI outputs in a fan engagement context. IP strategists should monitor and potentially compete in the intersection of fan behavioral data, LLM-based content synthesis, and personalized fan experience delivery.
India and Korea are emerging secondary filing jurisdictions. Multiple 2025–2026 pending filings from Indian assignees (Manipal University, Dr. Mahalingam College, Kanchi Sai Bharath, Direign Technologies) and Korean assignees indicate growing regional R&D interest. Organizations with global IP strategies should monitor these jurisdictions for both competitive intelligence and potential licensing opportunities — a workflow well-suited to PatSnap Eureka’s multi-jurisdictional search capabilities.
“Privacy-preserving personalization architectures — federated learning on-device persona modeling and cross-platform prediction without data sharing — are moving from academic research to applied patent protection in 2025–2026, signalling a narrowing filing window for organizations building fan data platforms.”