15 SEP · TITLE SNAPSHOT
Lanterns   6,747 HH +253.1%Lioness   3,086 HH +12.5%Mushoku Tensei: Jobless Reincarnation   2,569 HH +20.7%Silo   1,741 HH -5.3%Reacher   1,736 HH -1.4%Ted Lasso   1,728 HH -4.2%That Time I Got Reincarnated as a Slime   1,667 HH -11.3%One Piece   1,628 HH +11.1%Star Trek: Strange New Worlds   1,470 HH -9.6%House of the Dragon   1,468 HH +1.7%
PeerLogixLet’s talk
Checking the latest published data…

Our approach

Give every signal
the context it deserves.

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

Observe

Measure OTT viewing activity to understand what households watch.

Household-level signals

02 / THE PROCESS

Catalog

Resolve activity to titles, episodes, platforms, and content attributes.

200,000+ titles

03 / THE PROCESS

Enrich

Add history, geography, and context to reveal useful patterns.

Demand → intelligence

04 / THE PROCESS

Deliver

Put the evidence into your data, audience, or AI workflow.

Data · audiences · MCP
200,000+Titles in the catalog
70M+Households observed over time
210U.S. designated market areas
10+ yearsCompany viewing history

01 / VIEWING EVIDENCE

Observe the activity.

PeerLogix collects streaming-viewing signals through its proprietary observation technology. Those observations form the panel evidence used in our analyses.

02 / CONTENT CONTEXT

Connect it to the title.

Title identity, series and episode metadata, platform context, and audience patterns help turn the raw evidence into a useful analytical view.

03 / BUSINESS ANALYSIS

Work through the question.

Combine that evidence with supported sources, models, and supplied client inputs to examine a decision and its assumptions.

Read the result in context

Observed. Modeled.
Clearly understood.

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

A decade
inside streaming.

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.

Discuss your data requirements

Start a conversation

Bring us your next
streaming question.

We’ll show you what the data can add to your decision.

Let’s talk

PEERLOGIX / EXPLORE THE EVIDENCE

FIND YOUR NEXT QUESTION