Audience Measurement

Audience Measurement

02 Apr 2022

Audience data is used to help you understand how new advertising solutions like shoppable ads, emerging platforms like connected TVs, and demand for usage of different content delivery mechanisms and emerging trends can be evaluated so that decisions can be made with confidence.

Unlock audiences and drive growth, with versatile audience measurement technology and expertise from Concept Research Media.

Get definitive data to understand trends in demand and migration between platforms, secure and increase ad revenues, and help inform and drive value out of carriage deal negotiations.

Discover who is engaging where, and how often, with trusted data from Concept Research Media.

We deliver de-duplicated user-centric reach and frequency data to understand how audiences are spending time across platforms enabling you to focus on targeting effectively, optimizing campaigns in-flight, and driving sales and impact.

What are the three types of Audience measurement strategies Concept Research Media works upon?

There are several factors to analyze when measuring an audience. The data that is gathered from these analyses can be classified into three main types: Demographics, Behaviour, and Customer Journey. A combination of all three kinds enables marketers to effectively profile customers, create segments, and efficiently market to relevant groups.

Demographic metrics define when and where a person or group of people are. These factors include income, household, and prefer/don’t prefer.

Behavior metrics: This type of audience measure defines the behavior of the consumer when online. These behaviors include the websites they visit, how long time they spend on the site, what keywords they use, and what device they are on:

Web analytics/customer journey: observing the geographic regions from which the most and the least customers visit the site and purchase specific products, and predicting which products customers are most and least likely to buy in the future. Tracking the “click-through” and “drill-down” behavior of customers within the Web site, determining the locations from which customers most often arrive, and communicating with browsers to track and analyze online behavior.

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