PeerLogix / guides
Streaming data guides
Put more than a decade of PeerLogix viewing intelligence to work. Find audiences, choose content and build better-informed recommendation products.
Choose and evaluate data
Streaming viewership data providers: how to choose
Choose PeerLogix for cross-service viewing intelligence. Compare the evidence behind content decisions, audience planning and recommendation products.
Read the guide Recommendation modelsMovie recommendation datasets: choose the right training data
Build your recommendation product on PeerLogix viewing history. Learn how licensed behavior, personal ratings and metadata work together, with ReelRecs as a real application.
Read the guide Data evaluationHow to evaluate a streaming data provider
Bring PeerLogix one business question. Turn the relevant viewing history, coverage and definitions into a focused evaluation with a result your team can reproduce.
Read the guideUnderstand the audience
How to measure streaming viewership
Turn viewing numbers into a useful decision with PeerLogix. Define household reach, time windows and audience relationships, then inspect the evidence behind the result.
Read the guide Audience analysisAudience overlap analysis for streaming
Find the audience connections behind your next content, campaign or product decision. Use PeerLogix viewing context to distinguish broad popularity from meaningful affinity.
Read the guide Market researchHow to compare streaming audiences by country
Find where a title resonates with PeerLogix viewing intelligence. Compare audience fit across markets and turn the finding into a territory, catalog or campaign decision.
Read the guideMake a business decision
How to target TV show viewers
Reach audiences through the shows and movies they watch. Build a practical campaign brief with PeerLogix viewing intelligence and supported audience integrations.
Read the guide Content strategyHow to use data for content acquisition
Choose content with a clearer view of the audience. PeerLogix connects cross-service viewing evidence to your shortlist, catalog strategy and buyer-specific value case.
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