> For the complete documentation index, see [llms.txt](https://resource.consumr.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://resource.consumr.ai/release-notes/release-notes-library/april-2026/standard-survey-media-consumption-quant-research-now-with-analytics.md).
# Standard Survey - Media Consumption Quant Research now with Analytics
Release Date: 23rd April 2026
## Introduction: Why Media Consumption Surveys Matter?
Media consumption has become the environment in which brand decisions are shaped. Consumers move fluidly across platforms, devices, and formats, often within the same day. This makes it increasingly difficult for brands to understand where attention truly exists and how different channels influence discovery and engagement.
Media Consumption Surveys address this challenge by providing a structured view of how audiences interact with media in their daily lives. As a core part of modern Market Research, they help brands move beyond fragmented data and into a clearer understanding of behavior. On consumr.ai, this capability is powered through AI Surveys and grounded in Quantitative Research, ensuring that insights are both measurable and reliable.
This allows teams to approach media planning with confidence, backed by real Consumer Research rather than assumptions or isolated data points.
## What is Changing?
Until now, understanding media behavior required piecing together multiple sources of information. The survey result output have so far been presented via distribution column charts independently per question asked in the survey, often leading to partial or inconsistent conclusions. While each dataset offered value, they rarely came together to form a single, coherent view of how audiences consume media.
With the introduction of Analytics section in Media Consumption Survey, this process becomes unified.
The new analytics brings together a complete picture of media behavior, starting with the overall media footprint of the audience. It captures how engaged consumers are, how many types of media they consume, and the extent of their digital immersion. This provides an immediate sense of the depth of engagement within a given segment.
It then expands into the channel mix, showing how media time is distributed across formats such as video, audio, social platforms, and reading. Alongside this, the survey highlights platform penetration and content preferences, helping teams understand which services and genres dominate attention.
Device behavior is also integrated into the analysis. The survey identifies which devices anchor consumption and how audiences interact across multiple screens. This adds important context to how content is experienced and how campaigns should be designed.
Timing further strengthens this understanding by showing when media consumption peaks during the day. By identifying key dayparts, the survey helps brands align communication with real audience behavior rather than estimated patterns.
Finally, the survey connects media consumption with discovery and receptivity. It reveals where consumers encounter new brands and which channels they are most open to engaging with advertising. This creates a direct link between Consumer Research and media investment decisions.
## The Purpose of This Change
Media data, when viewed in isolation, often leads to slow and inconsistent decision making. Different teams interpret different datasets, and conclusions are not always aligned. This creates friction in planning and reduces confidence in execution.
The purpose of Media Consumption Survey is to remove this ambiguity.
By bringing all key aspects of media behavior into a single, structured view, the survey helps teams understand patterns quickly and arrive at clear conclusions. It reduces the need for interpretation across multiple reports and enables a more consistent approach to decision making.
In doing so, it strengthens the role of Quant Surveys within Market Research by making insights more accessible and directly actionable.
## When to Use Media Consumption Survey
Media Consumption Surveys are most effective when brands need a clear understanding of how their audience engages with media across channels. This includes scenarios such as campaign planning, budget allocation, and evaluating channel effectiveness.
They are also valuable when tracking shifts in audience behavior over time, especially in categories where media consumption patterns evolve rapidly. By running these surveys periodically, brands can maintain an up to date view of how attention is changing.
On consumr.ai, the survey can be set up and completed within minutes using our AI Surveys framework. This significantly reduces the time required compared to traditional Consumer Research, while maintaining the rigor expected from Quantitative Research.
## Getting Started
To make adoption simple, an embedded demo is available within the platform. This walkthrough guides users through the process of creating a Media Consumption Survey, from selecting the audience to generating insights.
This ensures that teams can quickly move from intent to execution and begin using Media Consumption Surveys as a core part of their Market Research workflow.
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