Customer Success · Track & Escalate
Customer signals from your Telegram community, with account context attached.
Each morning, 340+ messages are filtered to a dozen actionable items -- bug reports, feature requests, complaints -- each tagged with the author's Intercom ticket history and Salesforce account value. A $120K customer's Telegram complaint won't sit unnoticed for days.
Works acrossTelegramIntercomSalesforce
What you get.
Your Telegram community gets read daily, actionable signals extracted, and each message cross-referenced with Intercom tickets and Salesforce account data. Paying customer issues reach the right team same-day.
Your Telegram community is too noisy to monitor manually
Your dev tools company has a 4,000-member Telegram group. Yesterday there were 340 messages. Buried in the noise: a $120K enterprise customer reported a breaking bug (they didn't file a ticket, they just complained in Telegram), 3 users requested the same API feature independently, and a competitor's customer posted asking about migration. Your community manager skimmed the chat and missed all three.
The enterprise customer who reported the bug in Telegram filed a support ticket 2 days later, frustrated that nobody responded. The CSM had no idea about the Telegram message. The NPS survey went out that same week. Score: 2. The renewal conversation next month just got harder.
What changes.
- 01Response time to paying customersBefore · Days or neverWith Doe · Same-day with account context and ticket history
- 02Pattern detectionBefore · Individual messages read in isolationWith Doe · Duplicate requests grouped and counted across users
- 03Account contextBefore · No idea who is a paying customerWith Doe · Every author mapped to account value and support history
- 04Signal vs. noiseBefore · 340 messages, no way to prioritizeWith Doe · 12 actionable items ranked by business impact
How Doe builds the community pulse digest
- 01Reads yesterday's messages and extracts actionable itemsTelegram12 actionable items from 340 messages: 4 bug reports, 3 feature requests (2 requesting the same API pagination feature), 2 migration questions from competitor users, 1 complaint about response times, 2 praise messages.
- 02Cross-references message authors with support ticketsIntercomThe payment webhook bug reporter has an open P2 ticket about the same issue. 1 feature requester has 3 prior tickets, all about API limitations. 2 message authors have no Intercom history -- likely trial users.
- 03Maps actionable messages to customer accountsSalesforce8 of 12 authors matched to accounts. The webhook bug reporter is on a $120K enterprise plan renewing in 45 days. The API feature requesters include 1 account on a $36K plan and 2 trial users. Migration questions come from non-customers.
- 04Prioritizes signals by account value and patternsDoe$120K account bug report flagged critical -- linked to the existing Intercom ticket, renewal context attached. API pagination feature request surfaced as a pattern: 3 independent requests this week, 1 from a paying account. 2 migration inquiries routed to sales as inbound leads. Final digest: 1 critical, 3 high, 8 standard.
- 05RecurringEvery morning at 8:00 AMRuns daily before your team starts work. Paying customer issues surface first, feature request patterns are grouped, and inbound leads route to sales. Community digest in Doe.
Up and running in under ten minutes.
- 01Connect your toolsOne-click OAuth for each integration. No API keys, no engineering.
- 02Describe what you need“Read yesterday's Telegram messages in our community group each morning. Flag bug reports, feature requests, and complaints. Cross-reference authors with Intercom tickets and Salesforce accounts. Prioritize by account value.”
- 03It runs on scheduleEvery morning at 8:00 AM, the community digest lands with prioritized signals and account context.
Before you delegate.
- 01How does Doe identify which Telegram users are paying customers?Doe matches Telegram usernames and display names against contact records in Salesforce and Intercom. For users who registered with the same email in your product and Telegram, the match is automatic. For others, Doe uses name matching and flags low-confidence matches for manual review.
- 02What counts as an "actionable item" vs. noise?Bug reports, feature requests, complaints, migration questions, and integration issues are extracted. General conversation, memes, and off-topic messages are filtered out. You can adjust what Doe considers actionable during setup.
- 03Can Doe monitor Discord or Slack communities too?Yes. The same task works with Discord servers and Slack communities. Configure which channels to monitor and the same extraction and account-mapping logic applies.
- 04Does Doe respond to messages in the community?No. Doe reads and analyzes messages but does not post in the community. The digest routes signals to the right internal team, and your community manager or CSM responds personally.
- 05How does Doe handle messages in multiple languages?Doe extracts signals from messages in any language. The digest is delivered in English with the original message quoted for context.