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Use the bot to conduct micro-surveys that tag users based on their answers

Posted: Tue May 20, 2025 9:38 am
by Rajubv451
Qualification Data: Capture expressed preferences, pain points, budget, role, etc., as users interact with lead qualification flows.
Content Consumption: Track which content links within the bot are clicked, which resources are downloaded, or how far users progress through a drip sequence.
Tools: Use dedicated bot platforms (ManyChat, Chatfuel, BotHelp) that have built-in analytics or integration capabilities, or custom-code your bot using a library (e.g., python-telegram-bot) and set up your own database.
Data Action: Ensure your bot automatically logs data and can push it to your CRM or marketing automation platform.
Integrate with Your Marketing Stack:

CRM (e.g., HubSpot, Salesforce, Zoho CRM): Automatically send usa telegram mobile phone number list qualified lead data from your Telegram bot directly to your CRM. Tag leads with detailed information from their bot interaction history.
Marketing Automation Platform (MAP) (e.g., ActiveCampaign, ConvertKit): Trigger automated email sequences or SMS campaigns based on user actions or tags generated in Telegram.
UTM Parameters: Use UTM tags religiously for every external link shared on Telegram (in channels, groups, and bots) to track traffic and conversions from Telegram in your website analytics (Google Analytics, Mixpanel, etc.).
Data Action: Set up robust integrations (using native features, Zapier/Make.com, or custom APIs) to ensure seamless data flow.
Phase 3: Data Analysis & Insight Generation (The Brain)
Raw data is useless without interpretation.

Regular Reporting & Dashboarding:

Action: Create a centralized dashboard (e.g., in Google Data Studio, Tableau, or even a detailed spreadsheet) that visualizes your key Telegram KPIs.
Frequency: Review daily for tactical adjustments, weekly for content planning, and monthly/quarterly for strategic reviews.