Why Push-First Event Delivery Beats Polling

When B2B SaaS companies need to share data with their customers' systems, they typically reach for one of two approaches: polling or push.

Polling means your customer's system repeatedly asks yours for updates. It is simple to implement initially, but it creates a cascade of problems at scale.

Every polling integration has a fundamental tension: poll too frequently and you waste resources on empty responses; poll too infrequently and your customer's data is stale. There is no right interval because the optimal frequency depends on how often your data actually changes, and that varies by customer.

Polling also creates invisible failures. When a customer's polling job silently stops running, nobody notices until someone checks a dashboard days later and wonders why the data stopped updating. There is no delivery receipt, no failure alert, no audit trail.

The push-first alternative

Push-first delivery inverts the model. When something happens in your system, you deliver the event immediately to every destination that needs it. The customer does not ask for data, they receive it.

This approach offers several concrete advantages:

Real-time by default. Events arrive when they happen, not on some arbitrary polling schedule. A payment completion, an order status change, or a deployment event shows up in the customer's system within seconds.

Failure visibility. Every delivery attempt is logged with status codes, latency, and error details. When a delivery fails, you know immediately. You can classify failures as transient or permanent, retry automatically with backoff, and alert operators when a destination goes unhealthy.

No wasted work. You only deliver when there is something to deliver. No empty responses, no bandwidth burned on "nothing new" checks, no rate limiting headaches from overcounting API calls.

Customer-controlled destinations. Customers configure where their data goes, their webhook endpoint, their S3 bucket, their BigQuery dataset. They bring their own infrastructure instead of adapting to yours.

Why SaaS teams keep building polling anyway

The honest answer: polling is easier to build the first time. You expose a /events endpoint, add pagination, and ship it. The complexity only shows up later, when you need to support dozens of customers with different polling frequencies, handle rate limiting, debug stale data complaints, and figure out why a customer's integration quietly broke three days ago.

Push-first delivery requires more upfront investment: a queue system, retry logic, delivery tracking, credential management. But that investment is substantial, and it pays back every time you add a new customer destination type, every time you debug a delivery failure in seconds instead of hours, and every time a customer self-serves their configuration instead of filing a support ticket.

When push-first is the right choice

Push-first delivery is the right default for any B2B SaaS that needs to share operational data with customer systems in near real-time. This includes:

• Transaction events (payments, orders, refunds)
• Status changes (deployments, incidents, approvals)
• Usage data (consumption metrics, billing events)
• Audit events (access logs, configuration changes)

If your customers are asking "can you send data to our system?" instead of "can we pull from yours?", they are asking for push delivery. Increasingly, those customers want more than webhooks, they want events landing directly in their data warehouse.

The infrastructure to do this well (retries, dead-letter queues, replay, observability, multi-destination routing) is substantial to build in-house. That is exactly why platforms like Pushrail exist: to give SaaS teams push-first delivery as infrastructure instead of as a custom engineering project.