Case Study 3: Political Campaign – Real-Time Sentiment Monitoring and Responsive Messaging
Background:
A political party sought to gauge public sentiment and adjust its messaging dynamically during an election campaign.
Strategy:
Monitored Telegram groups and public channels discussing political topics using machine learning-based sentiment analysis.
Identified emerging issues and hot topics through keyword frequency and discussion volume.
Crafted responsive messages addressing voter concerns and spreading campaign promises via official Telegram channels.
Enabled rapid response to voter concerns, increasing public approval ratings by 12% in key demographics.
Enhanced message relevance leading thailand telegram mobile phone number list to higher engagement on campaign posts (up by 30%).
Effective mobilization of supporters during election events and rallies.
Case Study 4: Educational Platform – Increasing Course Enrollments via Telegram Group Engagement
Background:
An online education startup wanted to increase enrollments by building an engaged community around its courses.
Strategy:
Created dedicated Telegram groups for different courses to foster peer discussions and support.
Analyzed group conversations to identify common hurdles and frequently asked questions.
Delivered targeted content and personalized course recommendations through Telegram bots.
Collected feedback via polls and surveys to improve course offerings.