Following the strategic decision to split the Recording Academyβs digital presence into two separate domainsβGrammy.com (Fan/B2C) and RecordingAcademy.com (Industry/B2B)βthis project audits performance metrics to evaluate the ROI of the bifurcation strategy.
The Verdict: The split strategy is VALIDATED. The data confirms successful segmentation of two distinct user behaviors: high-volume event traffic vs. high-engagement professional traffic.
- Role: Digital Strategy Analyst
- Tools: Python (Pandas), Plotly, Jupyter Notebook
- Objective: Analyze web traffic volatility, user engagement, and device demographics to optimize the FY2026 digital roadmap.
- Key Comparison: Benchmarked performance against the American Music Awards (AMA).
- Observation: Grammy.com traffic explodes from a baseline of ~32k daily visitors to ~1.38 million on Awards Night.
- Impact: This 43x traffic multiplier acts like a DDoS attack. Separating the B2B infrastructure was critical to protecting member voting systems from fan-driven crashes.
- Industry Site: High engagement (33.7% Bounce Rate, ~3 mins time on site).
- Fan Site: Low engagement (40.8% Bounce Rate, ~90s time on site).
- Insight: The industry site attracts intentional researchers; the fan site attracts fleeting browsers.
- Grammys Mobile Share: 68%
- Competitor Benchmark (AMA): 86%
- Gap: 18%. The Grammys digital experience is failing to capture the mobile-first mass market, representing a loss of ~200k potential monthly users.
Based on the audit findings, this report proposes the following high-priority initiatives:
| Focus Area | Data Insight | Strategic Pivot | Business Value |
|---|---|---|---|
| 1. Infrastructure |
43x Traffic Volatility (32k |
Decouple Servers: Isolate B2B (Voting) from B2C (Fan) infrastructure. | Protects member voting integrity; eliminates crash risk for paying members. |
| 2. Mobile UX | 18% Market Share Gap (68% vs 86% benchmark) indicates high friction. | Mobile-First Audit: Fix load speeds and touch targets on mobile. | Recaptures ~20% of lost mass-market traffic (Gen Z/Millennials). |
| 3. Content | Low Dwell Time (90s vs 6m) signals weak engagement. | Sticky Formats: Shift from text news to interactive video archives. | Triples ad inventory capacity & increases programmatic revenue. |
This analysis is hosted in a Jupyter Notebook.
Disclaimer: This project is a portfolio demonstration using mocked traffic datasets to simulate real-world digital strategy analysis.