Community Analysis

Why we made this

Some customers leave their voice through customer support or reviews, but more often, most customers leave without saying anything at all. Also, because inquiries and reviews are often written carefully, they tend to use polished expressions—whereas in communities, true feelings and emotions are revealed without any filter.

Deskroom supports a community analysis feature so that you can quantitatively analyze customers' unofficial, genuine feelings as well.

Use cases

When you want to check how much your product and service are being mentioned

• Gather posts mentioning your product or service on Naver Cafe (e.g., mom communities), and analyze mention frequency such as the number of posts, views, and comments to quantitatively grasp how virally your product is spreading.

When you want to detect potential risks to your product in advance

• Gather posts mentioning your product or service on social media, and analyze which types of VOC are common and what proportion of posts are negative, to prevent negative virality and manage risk before problems arise.

When you want to find insights for product improvement or marketing

• Gather posts mentioning your product or service on Daum Cafe, and analyze what customers like and what proportion of posts are positive, to provide strategic insights to the product and marketing teams.

How to use

Sign up for Deskroom and request community channel integration. Without heavy development resources, Deskroom team engineers will help collect and analyze the community data you want.

You can review metrics analyzed according to the VOC types and customer sentiment types that match your product and brand, and understand what voices customers did not say directly and how many such voices are out there.