API Integrations
Integration architecture that handles edge cases, failure states, and the field-mapping specifics that determine whether data flows correctly under real conditions.
Integrations that work in testing fail in production.
The edge cases - a field that's sometimes null, a record that triggers the Zap before the CRM has finished writing, an API rate limit hit during a batch sync - don't appear in demo environments. They appear when the system is under real load, processing real data, with real consequences for the pipeline if a record gets dropped or duplicated. Most integration failures we diagnose were visible in the architecture before anyone built them - just not to whoever built them.
Our Approach
We design integrations around failure modes, not happy paths.
That means mapping every field that flows between systems, defining what happens when a required value is missing, and building the error handling that catches failures before they become silent data losses. Zapier automations are structured as operational infrastructure, not personal automations - with version control, error notifications, and documentation that survives personnel changes. Direct API integrations are built with retry logic, rate limit handling, and the logging that makes failures diagnosable.
Discuss API Integrations
Connect with Phil to discuss your operational environment, what's not behaving correctly, and how Tactical Marketing approaches the repair and governance work.
Contact Us"Phil Bosley & Tactical MA are the reason why we have stayed with Act On. Their expertise and support have brought our marketing automation strategy to a level of sophistication that directly translates to our retention."
What We Do in API Integrations
Related deep dive
Zapier Integration →Zapier built like infrastructure, not like a personal automation.
Or browse the full operations library.
Frequently Asked Questions
Our Zaps keep failing silently and we find out days later. How do you make integrations reliable?
By designing for the failure modes instead of the demo. Silent failure is the default behavior of most integrations - a Zap errors out, a record gets skipped, and nothing tells anyone until the missing data surfaces downstream. We build error notifications into every automation, define explicit handling for the edge cases that actually occur - null fields, timing races, rate limits - and structure the Zaps as documented infrastructure rather than one person's personal automation. When something fails, you know within minutes, not days.
When is Zapier enough, and when do we need a direct API integration?
Zapier is enough more often than developers admit and less often than Zapier's pricing page suggests. It handles moderate volume, straightforward field mapping, and workflows where a few minutes of latency doesn't matter. Direct API integration earns its higher build cost when volume gets serious, when you need guaranteed delivery with retry logic, when the transformation logic exceeds what Zapier's steps express cleanly, or when per-task pricing makes Zapier more expensive than custom code. We recommend based on the actual requirement - we build both, so we have no stake in which you pick.
Can you audit the integrations we already have, or do you only build new ones?
Audit is often where engagements start. Existing integrations accumulate the same debt as everything else: field mappings that predate a CRM restructure, error handling that was never built, automations running under a departed employee's account. We map what's actually flowing between systems, test the edge cases that were never tested, and fix the failure modes before they cost you records. Most audits surface at least one integration doing something meaningfully different from what the team believes it does.
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If something isn't behaving the way it should, that's where we start. Phil reads every inbound personally and responds within one business day.