In digital marketing! a large audience is only valuable if it’s the right audience. For Telegram! where “contacts” can range from passive channel subscribers to highly engaged bot users! the ability to filter and segment your audience is crucial for achieving better marketing results. Instead of broadcasting generic messages! intelligently filtering your Telegram “contacts” allows for hyper-personalized communication! increased relevance! higher engagement rates! and ultimately! more effective conversions. This strategic segmentation transforms a broad audience into a precise target.
Filtering by Source of Acquisition (Initial Intent)
The first level of filtering is based on how a “contact” entered your Telegram ecosystem! which often indicates their initial intent.
- Channel Subscribers: These are broad-interest individuals! likely at the top of your funnel. They can be filtered by the specific channel they joined (if you have multiple niche channels) or by the UTM source that brought them to the channel.
- Group Members: These are typically more engaged! showing interest in a specific topic. Filter them by the group they joined (e.g.! “Product X Support Group!” “Industry Discussion Group”).
- Bot Users: These are highly valuable as their interaction indicates a specific interest. Filter them by the bot they interacted with and the initial command they used (e.g.! “Started Demo Bot!” “Asked Pricing Question Bot”). Understanding the source allows for foundational segmentation.
Filtering by Expressed Interests (Via Bot Interactions/Polls)
This is where precise filtering becomes guatemala telegram database possible! especially through Telegram bots and interactive features.
- Bot-Collected Preferences: Design your bot to ask users about their interests! preferences! or specific needs (e.g.! “What product categories are you interested in?”! “Are you a B2B or B2C customer?”). The bot automatically stores these responses! allowing you to filter contacts by these self-declared interests.
- Poll Responses: Use polls in channels or groups to gather preference data. While not directly linked to individual PII! this can help refine future content themes and offers for segments of your audience.
- Keyword Triggers: If your bot responds securing explicit consent to specific keywords! users who trigger certain keywords can be filtered into categories representing their interest in those topics.
Filtering by Behavioral Engagement (Activity Level & Type)
How users interact with your content and community provides critical behavioral data for filtering.
- Active vs. Passive Users: Filter by frequency of interaction (e.g.! users who open every message vs. those who rarely do).
- Content Consumption: Filter by which types of messages or content formats they engage with most (e.g.! those who click on external europe email links vs. those who only view videos).
- In-Group Participation: For group members! filter by the volume and quality of their contributions (e.g.! frequent posters vs. lurkers).
- Feature Usage (for Product Bots): If your bot provides product features!