NBA Digital Strategy & Fan Engagement: A Case Study

Digital Strategies, Fan Engagement & Value Creation

A Qualitative Case Study of the NBA Fan Experience

Rayane Ghediri

NEOMA Business School — TEMA Programme

Master's Thesis Defense — January 2026

Presentation Roadmap

1. Context & Research Problem

2. Research Question & Objectives

3. Theoretical Framework

4. Methodology

5. Key Findings

6. Discussion vs Literature

7. Managerial Recommendations

8. Limitations & Future Research

9. Conclusion

Context & Research Problem

Professional sport transformed into a content industry integrated into the attention economy

60%+ of under-25s prefer consuming highlights on TikTok/YouTube/Instagram over live TV

NBA: 83.5 billion digital views in 2024 — most followed league globally on social platforms

Fragmented digital ecosystem: personalization, content saturation, D2C monetization models

Research Question & Objectives

How do the NBA's digital strategies influence fan engagement, experience, and value creation in a digital environment marked by personalization, content saturation, and usage fragmentation?

Understand mechanisms of digital engagement in professional sport

Articulate user experience, personalization, brand values, and monetization

Identify actionable levers for sports organizations

Theoretical Framework — Five Anchoring Lenses

Customer Engagement Theory

Cognitive, emotional & behavioral engagement via digital platforms

Customer Experience Theory

Fan journey across touchpoints, personalization, content saturation

Service-Dominant Logic / Value Co-Creation

Value co-created through NBA–fan–platform–creator interactions

Relationship Marketing

Trust, authenticity & long-term fan–brand relationships

Platform Ecosystem Theory

NBA as orchestrator within a platform-dependent ecosystem

Methodology — Qualitative Instrumental Case Study

Exploratory qualitative approach — Interpretivist paradigm

Semi-Structured Interviews

6 participants: coaches, club managers, players from amateur basketball ecosystem

Structured Platform Observation

8 weeks across TikTok, Instagram, YouTube, NBA App — formats, rhythms, CTAs analyzed

Thematic analysis: open → axial → directed coding with triangulation

Sample Overview — Six Participant Profiles

P1 Coach Alex (32) — U18 trainer, uses Reels as pedagogical triggers

P2 Coach Samir (40) — Senior coach, prefers long-form tactical analysis

P3 President Marie (45) — Club director, studies NBA branding coherence

P4 DF Khaled (38) — Finance volunteer, analyzes D2C conversion journeys

P5 Player Lina (22) — Senior female player, values authenticity & narratives

P6 Player Malik (19) — U20 player, TikTok-native, FOMO-driven consumption

Finding 1: Social Media as Daily Engagement Engine

H1 Confirmed

TikTok/Instagram act as passive entry points — algorithmic capture initiates engagement

Short formats create hooks; consolidation requires longer formats (YouTube) and app piloting

Independent creators serve as pedagogical curators and trust mediators

"I don't open TikTok 'for the NBA', but the algorithm catches me. Two, three sequences and I'm hooked."

— Malik, 19, U20 Player

Finding 2: Personalization & Perceived Agency

H2 Confirmed (with vigilance)

Perceived personalization (not technical sophistication) drives satisfaction

Agency matters: ability to configure notifications, favorites, viewing angles

Risk of filter bubble — fans need controlled serendipity (10–15% discovery)

"The app understands my 2–3 teams. Summaries arrive at the right moment. I feel in control, not controlled."

— Samir, 40, Senior Coach

Finding 3: Cyclical D2C Monetization at Emotional Peaks

H3 Confirmed

Conversion to paid (League Pass, merch) occurs during emotional peaks — playoffs, rivalries

Offers perceived as clear (content, duration, price) and well-timed are accepted

Subscription behavior is cyclical, not continuous — fans toggle between free/paid

"When it gets interesting, I take a pass for a month. Then I go back to free. It's cyclical."

— Malik, 19, U20 Player

Finding 4: Values & Authenticity as Identification Condition

H4 Confirmed Conditionally

Person-centered narratives (portraits, behind-the-scenes) strengthen attachment

Value positions (diversity, mental health) amplify identification — IF accompanied by proof

Opportunistic one-off posts without follow-through trigger rapid disengagement

"I want stories and proof. Otherwise it sounds like communication. If actions follow, I become attached."

— Lina, 22, Senior Player

Emerging Findings: Saturation & Fragmentation Risks

Content Saturation

Beyond a threshold, marginal attention returns become negative — scrolling without retention

Rights Fragmentation

"Where to watch?" confusion undermines experience — fans expect curation guidance

Pivot Format: 8–12 min Summaries

Condensed summaries act as antidote to passive scrolling and bridge short ↔ long content

"Sometimes I scroll without retaining anything. A clean 8-minute summary is what brings me back."

— Malik, 19

Discussion: Confrontation with Literature

Santomier et al. (2023)

NBA pioneers digital narration — BUT engagement is co-produced with platform algorithms, not fully NBA-controlled

Pashaie et al. (2024)

AI improves experience — BUT fans value perceived simplicity, not technical sophistication; serendipity needed

Wang (2024)

D2C transforms economics — BUT conversion is cyclical/emotional, not linear; fans toggle free ↔ paid

Holt (2004)

Cultural brands need authenticity — AND rapid disengagement occurs if values lack proof/continuity

Managerial Recommendations

Shift from volume to perceived value — hierarchize content by function (capture → deepen → retain)

Formalize multi-platform journey architecture with clear platform specialization

Deploy transparent personalization with controllable serendipity (10–15% discovery)

Adapt monetization to emotional cycles — micro-passes (7–10 days) at momentum peaks

Partner with independent creators as trust mediators and pedagogical curators

Embed values in sustained programs with visible proof — not opportunistic one-shots

Limitations & Future Research

Sample size (n=6) limits generalizability — rich depth but restricted representativeness

Local anchoring (Seine-et-Marne, France) — transferability to global contexts uncertain

No proprietary data access — internal KPIs, conversion metrics unavailable

Platform volatility — 8-week observation is a snapshot; algorithms evolve rapidly

Expand to international audiences (US, Asia, Africa)

Integrate quantitative methods for triangulation

Comparative analysis with other leagues (NFL, Premier League)

Conclusion: Key Takeaways

NBA digital strategy is an orchestration of cultural experiences at the intersection of entertainment, technology, and emotion

Engagement is co-produced with platform algorithms — NBA influences but does not fully control visibility

Value creation is cyclical and emotional — monetization must align with fan rhythms, not force continuous commitment

Curation > Volume — orchestration quality matters more than content quantity

Authenticity is non-negotiable — values require proof and continuity to build lasting identification

Thank You

Questions & Discussion

Rayane Ghediri

NEOMA Business School — TEMA Programme

Digital Strategies, Fan Engagement & Value Creation: A Qualitative Case Study of the NBA Fan Experience