How often a user posts in a discussion group
Posted: Tue May 20, 2025 9:24 am
Reactions: Which emoji reactions are most common for different content types.
Clicks on Links: Which external links within your posts are clicked most frequently.
Time Spent (Inferred): For longer articles or videos shared via a bot, tracking completion of consumption (e.g., reaching the end of a sequence, clicking "next part").
Forwards/Shares: How often posts are forwarded to other chats or channels (if traceable).
Interaction Patterns within Bots:
Button Clicks: Which menu options or quick replies users select.
Conversation Paths: The sequence of interactions a user has with your bot.
Drop-off Points: Where users abandon a bot conversation or a qualification flow.
Time Between Responses: How quickly users respond to bot messages.
Command Usage: Which specific commands (e.g., /help, /start, /productinfo) users initiate.
Group Engagement Metrics:
Message Content (Keyword Analysis): The topics users italy telegram mobile phone number list discuss, the questions they ask, and the sentiment (e.g., positive, negative, neutral) of their messages.
Responses to Polls/Quizzes: How users vote and which answers they choose.
Replies/Mentions: Whether users reply to others or mention your brand/moderators.
Activity Timestamps:
Peak Activity Hours: When your audience is most active on your channel/group/bot.
Last Active Date: When a user last engaged with your Telegram assets.
Ethical Collection and Analysis of Behavioral Data
First-Party Data Only: Focus exclusively on data generated by users interacting directly with your own Telegram channels, groups, and bots.
Bot as the Primary Data Collector: Design your Telegram bots to log and store every user interaction. Each button click, text input, and step completed can be a data point.
Integration with Analytics/CRM: Push bot-collected behavioral data to a Customer Data
Clicks on Links: Which external links within your posts are clicked most frequently.
Time Spent (Inferred): For longer articles or videos shared via a bot, tracking completion of consumption (e.g., reaching the end of a sequence, clicking "next part").
Forwards/Shares: How often posts are forwarded to other chats or channels (if traceable).
Interaction Patterns within Bots:
Button Clicks: Which menu options or quick replies users select.
Conversation Paths: The sequence of interactions a user has with your bot.
Drop-off Points: Where users abandon a bot conversation or a qualification flow.
Time Between Responses: How quickly users respond to bot messages.
Command Usage: Which specific commands (e.g., /help, /start, /productinfo) users initiate.
Group Engagement Metrics:
Message Content (Keyword Analysis): The topics users italy telegram mobile phone number list discuss, the questions they ask, and the sentiment (e.g., positive, negative, neutral) of their messages.
Responses to Polls/Quizzes: How users vote and which answers they choose.
Replies/Mentions: Whether users reply to others or mention your brand/moderators.
Activity Timestamps:
Peak Activity Hours: When your audience is most active on your channel/group/bot.
Last Active Date: When a user last engaged with your Telegram assets.
Ethical Collection and Analysis of Behavioral Data
First-Party Data Only: Focus exclusively on data generated by users interacting directly with your own Telegram channels, groups, and bots.
Bot as the Primary Data Collector: Design your Telegram bots to log and store every user interaction. Each button click, text input, and step completed can be a data point.
Integration with Analytics/CRM: Push bot-collected behavioral data to a Customer Data