See whether customers are returning to WhatsApp
Review repeat activity from stored chat records with a recurring ClickHouse summary.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Why this helps
It takes too much manual work to tell whether customers are returning or contacting you only once.
- Compare customer activity across periods.
- Use stable identifiers present in the records.
- Make missing identity data visible instead of assuming it.
Setup
Build it in a few focused steps.
- 1Connect 2chat and ClickHouse once in the Notis portal.
- 2Create an automation and give it a clear name.
- 3Tell Notis which ClickHouse customer identifier and timestamp fields to use when summarizing repeat activity across periods.
- 4Choose a Notis cron schedule and select where run reports should go.
- 5Test with one real period and verify the customer identifiers support a fair comparison.
Questions about this workflow
Does this calculate formal retention?
It can summarize repeat activity based on the definitions you provide. A formal retention metric needs an agreed cohort definition and suitable historical data.
What if customer identifiers change between chats?
The workflow cannot reliably recognize the same customer without a stable identifier or a supplied identity mapping.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 2chat to ClickHouse. A trigger fires from one place; an action lands in another.
2chat triggers
ClickHouse actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get Database Schema
Get comprehensive schema overview of an entire database including all tables and optionally their column definitions. essential for ai agents to understand the complete database structure in a single call.
Get Table Schema
Get detailed schema information for a specific table including column definitions, types, keys, and optionally sample data. this is essential for ai agents to understand table structure before constructing queries.
List ClickHouse Databases
List all databases in the clickhouse instance. useful for discovering available databases before querying tables.
List ClickHouse Tables
List tables in clickhouse databases. returns information about tables including their engine, size, and row count.
Connect any two apps with Notis in the middle.
2chat and ClickHouse, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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