THE FUNCTIONS OF ANALYZING THE CONTENT OF USER COMMENTS WHEN PROMOTING PHOTO SERVICES

This article describes the role of comments in promoting photography services. The issue at hand is the insufficient effectiveness of utilizing user comments for content analysis. The object of this article is user comments as a tool for service promotion. The goal of the article is to examine comments on social media from the perspective of customer experience and their potential use in business promotion. In the context of fierce competition, effective management of customer orientation ensures the stability of a company’s market position and the consistency of consumer interest. Content analysis is considered as a tool for promoting photography services in conjunction with customer feedback. The paper justifies the relevance of managing customer reviews under current business conditions. Principles for working with comments on the social network VKontakte were also examined. Additionally, the concept of customer experience was analyzed from two perspectives. A review of comments was conducted to identify the strengths and weaknesses of the subject, highlighting the functions of promotion. Thus, the article convincingly demonstrates that comments are a powerful promotional tool for businesses and confirms their effectiveness based on analysis. As a result of this article, entrepreneurs will be able to view familiar comments in a new light and utilize them in their promotion strategies.

Authors

Institutions

Publication Details

Journal
Dynamics of Media Systems
Published
2025-07-18
DOI
https://doi.org/10.47475/2949-3390-2025-5-1-766-773
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE FUNCTIONS OF ANALYZING THE CONTENT OF USER COMMENTS WHEN PROMOTING PHOTO SERVICES

Elizaveta A. Kondratieva
Dynamics of Media Systems
Digital Marketing and Social Media
article

THE FUNCTIONS OF ANALYZING THE CONTENT OF USER COMMENTS WHEN PROMOTING PHOTO SERVICES

Elizaveta A. Kondratieva
article en

Abstract

This article describes the role of comments in promoting photography services. The issue at hand is the insufficient effectiveness of utilizing user comments for content analysis. The object of this article is user comments as a tool for service promotion. The goal of the article is to examine comments on social media from the perspective of customer experience and their potential use in business promotion. In the context of fierce competition, effective management of customer orientation ensures the stability of a company’s market position and the consistency of consumer interest. Content analysis is considered as a tool for promoting photography services in conjunction with customer feedback. The paper justifies the relevance of managing customer reviews under current business conditions. Principles for working with comments on the social network VKontakte were also examined. Additionally, the concept of customer experience was analyzed from two perspectives. A review of comments was conducted to identify the strengths and weaknesses of the subject, highlighting the functions of promotion. Thus, the article convincingly demonstrates that comments are a powerful promotional tool for businesses and confirms their effectiveness based on analysis. As a result of this article, entrepreneurs will be able to view familiar comments in a new light and utilize them in their promotion strategies.

Dynamics of Media SystemsVol. 5(1)
Chelyabinsk State University (RU)
Openalex Percentile: Top 68%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.