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Global tiers, trials, bundles & churn signals — taxonomy-aligned, confidence-scored, explainable.

Global tiers, trials, bundles & churn signals — taxonomy-aligned, confidence-scored, explainable.

Why this matters

Why this matters

Streaming subscriptions evolve quickly. Prices shift monthly, trials vary by region, bundles tie platforms to telcos, music, or gaming. Internal trackers often miss these changes, while generic reports stop at averages.

Without structure and comparability, strategy teams can’t size markets reliably or anticipate churn. You need outlet-level tiers, normalized prices, and churn-risk reasoning — not just numbers.

How Starzdata solves this

How Starzdata solves this

  • Standardizes tiers, trials, and bundles into a single taxonomy.

  • Normalizes local prices and exposes a USD median for benchmarking.

  • Estimates active subscribers and revenues transparently.

  • Adds churn-risk signals with short explanatory notes.

  • Scores every enriched field (source availability, freshness, methods).

This segment is activated with a blend of trusted sources and your own inputs

AI reasoning

Open Datasets

Web intelligence

Curated APIs

What you get:

What you get:

  • Comparable tiers across countries with normalized USD medians.

  • Trials & bundles classified by partner type, churn-risk labeled with rationale.

  • Estimated active subscribers and monthly revenues per row.

  • BI/CRM-ready exports with field-level confidence scores.

Trust line: Every enriched field is sourced, scored, and explained.

Sample data for this segment

#platform nameplatform name confidenceprimary domainprimary domain confidencegeo countrygeo country confidencesubscription currencysubscription currency confidencetier nametier name confidencetier price min localtier price min local confidencetier price max localtier price max local confidencetier price median localtier price median local confidencetier price median usdtier price median usd confidencetrial strategytrial strategy confidencebundling flagbundling flag confidencebundle partner typebundle partner type confidenceestimated active subscribersestimated active subscribers confidenceestimated revenues usdestimated revenues usd confidencechurn risk signalchurn risk signal confidencechurn risk comment
1Netflix99%netflix.com99%IN99%INR99%mobile97%14995%24995%19996%2.695%none90%true92%telco92%1200000085%3120000082%medium87%No trial; adoption relies on telco bundles.
2Disney+99%disneyplus.com99%US99%USD99%standard97%9.9995%12.9995%10.9996%10.9996%7days92%true94%music92%4800000088%52700000086%low88%Bundle with Hulu and ESPN+ significantly reduces c...
3Spotify99%spotify.com99%DE99%EUR99%premium97%11.9995%13.9995%12.9996%14.295%30days93%94%none94%1000000084%14200000083%medium87%30-day trial may cause churn after expiry.
4HBO Max98%hbomax.com99%BR99%BRL99%standard96%29.995%39.995%34.996%794%14days93%true93%telco93%800000082%5600000080%low87%Telco bundling + trial balance churn well.
5Amazon Prime Video99%primevideo.com99%JP99%JPY99%standard97%45095%55095%50096%3.594%30days94%true94%other93%1500000086%5250000083%low88%Prime bundle strengthens retention; trial common i...
6Apple TV+99%tv.apple.com99%FR99%EUR99%standard97%5.9995%7.9995%6.9996%7.794%7days92%true93%music93%400000080%2800000078%low87%Apple One bundle lowers churn; trial smooths entry...
7DAZN98%dazn.com99%IT99%EUR99%standard96%27.9995%31.9995%29.9996%32.794%none90%94%none94%250000080%8200000077%high85%High price; no trial or bundle increases churn.
8Tencent Video98%v.qq.com99%CN99%CNY99%premium96%2595%3595%3096%4.594%discount_first_month92%true93%gaming92%2500000084%11250000082%medium87%Discount entry attractive; bundle stickiness uncer...
9Hulu99%hulu.com99%US99%USD99%basic97%6.9995%8.9995%7.9996%7.9996%30days93%true94%music92%2500000087%19975000084%low87%Bundle with Disney+ reduces churn despite trial ch...
10Canal+98%canalplus.com99%FR99%EUR99%premium96%37.9995%41.9995%39.9996%43.694%none90%true92%telco92%600000081%26160000079%high85%High premium price; telco bundle only partly offse...
Showing 1 to 10 of 10 entries • Click row for details

Each row = platform × country × subscription tier.
Inputs (platform, domain, country, currency) are standardized.
Enriched fields (prices, trials, bundles, churn) include a 0–100 confidence score based on source availability, freshness, and methods.

Legend: Confidence reflects source availability, freshness, and methods.

... or explore the segment structure:
... or explore the segment structure:
... or explore the segment structure:
Your questions on this segment, answered

How does this differ from using generic trackers or reports?

How does this differ from using generic trackers or reports?

How are local prices normalized into USD for comparison?

How are local prices normalized into USD for comparison?

Can I adapt the taxonomy for tiers, bundles, and trials?

Can I adapt the taxonomy for tiers, bundles, and trials?

How are churn-risk signals determined and explained?

How are churn-risk signals determined and explained?

What does the confidence score mean, and how often are updates applied?

What does the confidence score mean, and how often are updates applied?