Track feature usage in Postgres
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
- towarehouse.pgPostgrestableevents.signups
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 Postgres
Insert each event as a row into a table in your own Postgres.
- 01
add the connection
Paste a Postgres connection string. Connections originate from our EU region — allowlist those egress IPs on your database.
- 02
point at a table
Name the target table. Top-level event fields map to columns, and the full payload is also available as a jsonb column.
- 03
map columns
Match event fields to columns with $event.* references, or accept the default mapping into a typed events table.
INSERT INTO events.signups
(user_id, email, plan, source, payload)
VALUES
('u_018f', 'ada@acme.com', 'pro',
'marketing-site', '{ … }'::jsonb);notes
- The target table must already exist with compatible column types; ingestlayer never runs DDL on your database.
- Connections come from fixed EU egress IPs — add them to your firewall, or inserts will time out.
- Use a jsonb column for the full payload when your event shape changes often, so a new field never breaks the insert.
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 SlackSlack
- Track feature usage in DiscordDiscord
- Track feature usage in TelegramTelegram
- Track feature usage in EmailEmail
- Track feature usage in WebhookWebhook
- Track feature usage in NotionNotion
more, into Postgres
- Track user signups in Postgrestrack
- Monitor failed payments in Postgresmonitor
- Route support escalations in Postgresalert
- Track waitlist signups in Postgrestrack
- Track new subscriptions in Postgrestrack
- Track canceled subscriptions in Postgrestrack
- Track successful payments in Postgrestrack
- Track trial conversions in Postgrestrack
- Track form submissions in Postgrestrack
- Track file uploads in Postgrestrack
- Monitor failed logins in Postgresmonitor
- Monitor usage-limit hits in Postgresmonitor
- Monitor error spikes in Postgresmonitor
- Monitor cron-job health in Postgresmonitor
- Monitor CI/CD build status in Postgresmonitor
- Flag high-value leads in Postgresalert
- Catch churn-risk signals in Postgresalert
- everything you can pipe to Postgreshub