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Customer Success

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.

Integrates with:

What changes

Before
With ZeroTwo
Response time to paying customers
Days or never
Same-day with account context and ticket history
Pattern detection
Individual messages read in isolation
Duplicate requests grouped and counted across users
Account context
No idea who is a paying customer
Every author mapped to account value and support history
Signal vs. noise
340 messages, no way to prioritize
12 actionable items ranked by business impact

Response time to paying customers

Before

Days or never

With ZeroTwo

Same-day with account context and ticket history

Pattern detection

Before

Individual messages read in isolation

With ZeroTwo

Duplicate requests grouped and counted across users

Account context

Before

No idea who is a paying customer

With ZeroTwo

Every author mapped to account value and support history

Signal vs. noise

Before

340 messages, no way to prioritize

With ZeroTwo

12 actionable items ranked by business impact

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.

How ZeroTwo builds the community pulse digest

1

Reads yesterday's messages and extracts actionable items

Telegram

12 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.

2

Cross-references message authors with support tickets

Intercom

The 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 free-tier users.

3

Maps actionable messages to customer accounts

Salesforce

8 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 free-tier users. Migration questions come from non-customers.

4

Prioritizes signals by account value and patterns

Google

$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.

Runs every morning at 8:00 AM · Community digest delivered in ZeroTwo

Get started in under 10 minutes

1

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

2

Describe 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.

3

It runs on schedule

Every morning at 8:00 AM, the community digest lands with prioritized signals and account context.

Frequently asked questions

ZeroTwo 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, ZeroTwo uses name matching and flags low-confidence matches for manual review.

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 ZeroTwo considers actionable during setup.

Yes. The same workflow works with Discord servers and Slack communities. Configure which channels to monitor and the same extraction and account-mapping logic applies.

No. ZeroTwo 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.

ZeroTwo extracts signals from messages in any language. The digest is delivered in English with the original message quoted for context.

Related workflows

Stop doing the work your tools should do for you.

Set it up once. ZeroTwo runs it every time.