Guide
A CRM is only as good as the data in it — and that data usually lives half in the CRM and half in your other tools. Integrating your CRM with accounting, marketing, and support turns scattered records into one reliable view of each customer. Here's how to approach it.
By Miguel Alejandro Hayes· Founder, Hayes Projects· with Claude (AI)
Prioritize the connections that kill duplicate entry and blind spots: accounting (so you see each customer's invoices and payment status next to the deal), marketing (so leads and campaign activity flow in), and support (so the sales side sees open tickets). Start with whichever gap causes the most re-typing today.
You don't need to integrate everything at once. Close the loop that hurts most first.
Same three options as any integration. Native connectors are fastest when they exist. iPaaS (Zapier, Make) handles simple syncs between popular tools. Custom integration via each system's API is for specific field mappings, high volume, or logic the ready-made connectors can't express.
Most CRMs cover the basics natively; you reach for custom when your process is non-standard or your data model is.
The value of integration is a single, trustworthy customer record. That means deciding which system owns each field, keeping syncs two-way where it matters, and handling conflicts predictably. Done well, everyone — sales, finance, support — sees the same customer.
Done poorly, you get two 'sources of truth' that disagree, which is worse than none. The design work is what makes it reliable.
An honest note: I wrote this with AI’s help. I used it to organize the research and tighten the prose, then reviewed, corrected and signed off on every line myself. Which is, more or less, the whole point: AI speeds up the draft — the judgment and the responsibility stay mine.
The one that removes the most duplicate data entry today — usually accounting or marketing. Fix the loop where someone is copying customer data between apps by hand.
Not always. Native connectors and iPaaS tools cover common cases. Custom work is for specific field mappings, high volume, or logic those tools can't handle.

About the author
Economist and essayist turned developer. He founded Hayes Projects, a Miami venture studio and custom software lab, to build software that ships, scales and solves real problems.
Meet the founder→Co-author (AI)
Anthropic’s AI model. It helped organize the research, structure the draft and tighten the prose. Every claim was verified and signed off by a human.
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