18 April 2026 , Blackgate
Webhooks are HTTP callbacks: when something happens in system A, A POSTs a signed payload to a URL you run. Polling is your job on a schedule: “what changed since T?” to system B. Neither is “always better” - the right choice depends on vendor support, volume, latency needs, and how much operational pain you can absorb when things fail.
Picture a new lead: with webhooks, your CRM or queue can react in seconds—while the person still has the form tab open. With polling, the same event might be picked up on the next five-minute sweep. Both can be “correct”; they feel different in the sales and support experience.
When webhooks win
- The source offers official webhooks (sometimes called subscriptions or event streams).
- You need near-real-time reaction - lead to CRM, payment to fulfillment, form to helpdesk in seconds not the next 15-minute job.
- You can run an idempotent receiver - same event twice should not create two database rows; use event IDs and durable logs.
Implementation must include: TLS, signature verification (shared secret, HMAC, or mTLS in higher-trust cases), retry tolerance (respond 2xx only when safely processed), and queueing behind the edge if work is slow so you do not time out the sender.
When polling is fine or required
Not every product exposes reliable callbacks. Mature B2B APIs often document rate limits and cursor-based updated_since filters but leave webhooks as an afterthought. In those cases, a disciplined poll on a sane interval plus a reconciliation job is sometimes more predictable than a flaky HTTP push.
- The API has no webhooks or they are unreliable in your region.
- Volumes are low and minutes of delay are fine - sync jobs, report pulls, or batch ETL.
- You need a sweep to recover missed webhooks (you should have reconciliation anyway).
Polling cost scales with call volume; tight intervals on large catalogues = throttling or bills - so adaptive schedules (e.g. catch-up windows, cursor-based sync) help.
Hybrids in production systems
Most solid integrations we have seen in the wild are not pure webhook or pure poll—they use the fast path for the happy case and a scheduled sweep to catch what networks, retries, or human error dropped along the way.
- Webhooks for fast path, nightly reconciliation job to fix drift.
- Dead letter queue for failed webhooks, alerts when rates spike (often means data or auth broke).
Agentic workflows need the same logging and failure discipline - automation without observability is mystery routing.
Marketing automation context: implementation considerations for when tools sync to CRM; webhooks are often the wires that make that real time.
Frequently asked questions
Are webhooks more secure than polling?
Neither is inherently secure; auth, signatures, and IP allow lists (where static) must be right for your threat model. Leaked webhook URLs in logs are a common fail.
How do I test webhooks locally?
Tunnel (e.g. ngrok-class tools) to a staging endpoint, or use platform replay and signed test payloads - never point production secrets in chat.
Polling every minute - OK?
If the API rate limit and value support it. Otherwise, widen the interval and use cursors or “updated_since” parameters.
What is idempotency?
Processing the same logical event more than once does not change state beyond the first success - critical for payment or inventory.
When do we need a message queue?
When webhook handlers do seconds of work, decouple HTTP ack from work using a queue (SQS, Cloudflare Queues, etc.) so providers do not hammer retries while your DB is down.