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Why Track Engagement Rate

Posted: Sat Feb 01, 2025 9:35 am
by subornaakter20
Each social network uses its own algorithms to assess whether posts match the interests of the audience and to promote them in the feed. This allows users to see the most valuable materials, rather than choosing articles at random.

The publication feed is formed taking into account engagement. First of all, you do not need to increase the number of subscribers, but offer them quality content and increase overall interest. Therefore, the Engagement Rate indicator determines what share of the audience will read your publications, and therefore whether the promotion will be effective.

At the same time, engagement is inextricably linked medicare leads email list to the goals and objectives of marketing. This indicator does not simply ensure high sales and increased brand popularity:

If a machine-building plant publishes materials about new equipment models in its community, and subscribers show interest in them and save them in bookmarks, then this contributes to the development of the business.

If the topic of publications in the same community is the latest fashion trends, and the factory's products are not mentioned anywhere, and the content is handled by people who do not have the competence, then even with full involvement, none of the subscribers will buy the machines.

Why Track Engagement Rate

Source: shutterstock.com

The engagement rate characterizes the audience's perception of the content, but at the same time, the following conditions must be met when publishing content:

readers are interested in purchasing this product;

the audience has sufficient funds to purchase the product;

the advantages of the product are described in order to encourage purchase;

attention to the company's products is maintained.

Then the ER coefficient acquires real value and contributes to targeted promotion.

The ER approach to assessing publication performance is robust because it can be done for individual articles as well as for the community as a whole. We can compare each publication's ER to the monthly average.

As a result, we will learn which publications attract the most attention and which ones are viewed very rarely, and will get an idea of ​​what the audience likes.

In addition, it will be possible to find similar characteristics in the design of successful and unsuccessful posts.