Track feature usage in Slack
Watch the features that signal expansion — exports, API calls, integrations — and route the moments that hint a customer is ready for more.
01source
02pipeline · 2 steps
- 01CTLfilter.matchfeature in {export, api, webhook}
- 02ENRenrich.entityuser → account · plan · owner
03destinations · 1
- toslackSlackchannel#alerts
the event
You emit feature.used with this shape. The TypeScript SDK keeps the call type-safe, and the event is stored whole — so every field below is available to the pipeline by name.
- user_idstring
- featurestringfeature key
- countnumberuses in window
- planstring
emit it
From your code with the TypeScript SDK — or any language over the REST endpoint and signed webhook ingress.
import { ingest } from "@ingestlayer/sdk";
await ingest("feature.used", {
user_id: ctx.user.id,
feature: "csv.export",
count: 1,
plan: ctx.user.plan,
});route it to Slack
Post to any channel in your workspace. Connect once with OAuth, pick the channel per pipeline.
- 01
connect your workspace
Authorize the ingestlayer Slack app over OAuth from the destinations page. We hold only a channel-scoped bot token, in-region, in the same KMS as your other credentials.
- 02
pick a channel
Choose any public channel, or invite the bot to a private one. The channel is set per pipeline, so different events can land in different places.
- 03
map the message
Reference event fields with $event.* in the message template. The default renders a titled block with the event name and its key fields.
┌─ #alerts ──────────────────────────────┐ │ ingestlayer APP │ │ user.signed_up │ │ email ada@acme.com │ │ plan pro │ │ source marketing-site │ └─────────────────────────────────────────┘
notes
- Slack rate-limits to roughly one message per second per channel; bursts are queued and retried, never dropped.
- The bot must be a member of a private channel before it can post there — invite it explicitly.
- Block Kit caps a message at 50 blocks and 3000 characters per text field; oversized events are truncated with a link to the full payload.
questions
- Won't this be far too noisy?
- Filter to the handful of features that actually predict expansion; everything else streams to the warehouse without an alert.
- Can I spot free users hitting paid features?
- The plan field rides along — branch on it to flag free-plan users leaning on paid surfaces, a clean upsell trigger.
- How do I roll this up per account?
- enrich.entity attaches the account id so usage aggregates cleanly in Postgres by company, not just by user.
feature usage, routed elsewhere
- Track feature usage in DiscordDiscord
- Track feature usage in TelegramTelegram
- Track feature usage in EmailEmail
- Track feature usage in WebhookWebhook
- Track feature usage in PostgresPostgres
- Track feature usage in NotionNotion
more, into Slack
- Track user signups in Slacktrack
- Monitor failed payments in Slackmonitor
- Route support escalations in Slackalert
- Track waitlist signups in Slacktrack
- Track new subscriptions in Slacktrack
- Track canceled subscriptions in Slacktrack
- Track successful payments in Slacktrack
- Track trial conversions in Slacktrack
- Track form submissions in Slacktrack
- Track file uploads in Slacktrack
- Monitor failed logins in Slackmonitor
- Monitor usage-limit hits in Slackmonitor
- Monitor error spikes in Slackmonitor
- Monitor cron-job health in Slackmonitor
- Monitor CI/CD build status in Slackmonitor
- Flag high-value leads in Slackalert
- Catch churn-risk signals in Slackalert
- everything you can pipe to Slackhub