Persons-Per-Household Metric Used in TV and CTV Audience Measurement
· 31h ago · Originally reported by PPC Land
The persons-per-household statistic represents the average number of people living in a single home. This figure is used by TV and connected TV (CTV) measurement providers to estimate total viewership from household-level data.
Why it matters
Understanding how many people are in each household helps advertisers and measurement companies more accurately estimate how many individuals see TV and CTV ads, which is crucial for campaign planning and effectiveness.
Explain it like I’m new here
It's like counting how many people usually watch TV together in one house so advertisers know how many people saw their ad.
Terms in this story
CTV (connected TV)
CTV (connected TV) is any television connected to the internet, such as a smart TV, streaming stick, games console or set-top box, and the advertising shown in streaming apps on it.
Audience segment
An audience segment is a group of people or devices defined by shared characteristics, such as demographics, interests, purchase behaviour or intent, used to target or measure advertising.
Go deeper
Related stories
Google Search Data Disrupted, Impacting SEO Rank Tracking Accuracy
Recent changes by Google have caused errors in daily rank checks for SEO vendors, with DemandSphere reporting wrong results in 11% of cases and Nozzle noting 8% of pages affected by inaccurate data. The disruption began in September and is…
Overview of Marketing Mix Modelling for Channel Attribution
Marketing mix modelling (MMM) is a statistical approach that analyzes overall sales and marketing spend data to determine the impact of different advertising channels. This method does not rely on tracking individual users, instead using…
Bannerflow Introduces Pre-Flight Ad Attention Scoring Tools
Bannerflow has launched new features that allow advertisers to evaluate the attention potential of their ads before launching campaigns. The suite includes attention heatmaps and clarity scores, aiming to help optimize creative assets…
Ad recall explained: the survey-based metric at the core of brand lift studies
An explainer breaks down ad recall, defined as the share of people who remember seeing an advertisement after being exposed to it. The metric is gathered through surveys and stands as the most widely used measure in brand lift studies…
Brands Focus on Trust and Incrementality to Measure Marketing Impact
Marketers are increasingly seeking ways to prove which advertising investments truly drive business growth. As testing new channels becomes simpler, brands are turning to concepts like trust and incrementality to better evaluate campaign…
Conversion lift explained: how holdout tests measure the incremental impact of ads
Conversion lift testing measures the extra conversions an ad actually causes by comparing a randomised group of exposed users against a holdout group that did not see the ad. An explainer outlines how major platforms run these experiments…