01 / THE PROCESS
Observe
Measure OTT viewing activity to understand what households watch.
Household-level signalsOur approach
A viewing measure becomes useful when you understand what it represents. PeerLogix connects observations to content context, analytical methods, and the question your team needs to answer.
01 / THE PROCESS
Measure OTT viewing activity to understand what households watch.
Household-level signals02 / THE PROCESS
Resolve activity to titles, episodes, platforms, and content attributes.
200,000+ titles03 / THE PROCESS
Add history, geography, and context to reveal useful patterns.
Demand → intelligence04 / THE PROCESS
Put the evidence into your data, audience, or AI workflow.
Data · audiences · MCP01 / VIEWING EVIDENCE
PeerLogix collects streaming-viewing signals through its proprietary observation technology. Those observations form the panel evidence used in our analyses.
02 / CONTENT CONTEXT
Title identity, series and episode metadata, platform context, and audience patterns help turn the raw evidence into a useful analytical view.
03 / BUSINESS ANALYSIS
Combine that evidence with supported sources, models, and supplied client inputs to examine a decision and its assumptions.
Read the result in context
Observed panel households describe activity in a stated population and window. National estimates and economic scenarios use analytical methods and assumptions to answer a different question.
A useful analysis keeps that distinction visible, alongside the source date, geography, and units. It gives your team the context to evaluate the conclusion.
Built over time
Founded in 2014, PeerLogix has built its business around proprietary streaming observation and content intelligence. Our U.S. patents cover the underlying observation technology.
For a specific engagement, we’ll work through the relevant metrics, coverage, history, and delivery with your team.
Start a conversation
We’ll show you what the data can add to your decision.