SVOD Multi-Homing Users in Six Countries: Analyzing Legacy Media Usage, Demographics, Lifestyle, Expectations, and Usage Habits
Bibliographic record
Abstract
Subscription to multiple subscription video-on-demand (SVOD) services, known as multi-homing, is increasingly prevalent. This research explores the relationship between multi-homing and traditional media consumption and identifies the key factors that predict multi-homing tendencies among SVOD users. We analyzed data from 2019 to 2021 across the U.S., Canada, China, Japan, Germany, and France to investigate the impact of SVOD usage on legacy media viewing time, and then explored the predictors of multi-homing behaviors. Our findings indicate that multi-homing users are more inclined to consume content on legacy media platforms, such as terrestrial or cable television, compared with single-homing users. Critical differentiators between multi-homing and single-homing users include demographic profiles, lifestyle preferences, content expectations, and usage habits, particularly in terms of account sharing and primary devices for content consumption. These results are crucial for both SVOD and traditional media providers, as they offer strategic guidance for companies to effectively operate in various international markets. Such a comprehensive analysis of multi-homing behavior also offers a new perspective on the dynamics of global media consumption.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".