How to Connect Copper and Gladly

Copper + Gladly Integration

Connect Copper (CRM) to Gladly (Support) with a custom REST integration or low-code tools. Sync contacts, tickets, and support history. Integration options, prerequisites to confirm, and what the data flow could look like.

By Andrew Pyle · Founder, Purcell Analytics

Tool A: Copper (CRM)

Tool B: Gladly (Support)

Copper (CRM) and Gladly (Support) are commonly run side-by-side. When teams operate both, the question that follows is how to keep the two in sync without re-entering data twice. This page describes a possible custom integration and what to confirm during discovery — not an off-the-shelf connector or a project we have already delivered for this exact pairing.

What teams typically want to integrate

Surface support history on the CRM contact record
Auto-create support tickets from CRM-flagged risk events
Sync customer-success-relevant fields between the two systems
Route high-MRR escalations directly to account owners

How the integration could work

A few paths are worth evaluating, depending on each tool's supported mechanism, your stack, and budget:

Native / first-party connector — check whether one exists specifically between Copper and Gladly (not assumed; verify with each vendor and confirm the edition you run is supported)
REST API on both sides + scheduled sync (build once, run on cron)
Webhook-driven sync (real-time, event-based) where the tool supports it
Low-code platforms (Zapier / Make / n8n) — only where BOTH tools have a supported connector for your edition; confirm coverage before relying on it (and note the ongoing per-task fees)
Custom adapter (full control, no per-task platform fees — but you own hosting, maintenance, and any vendor API access/licensing; requires engineering)

What could flow between the systems

Scope what should actually move between them during discovery:

contacts
tickets
support history
satisfaction scores

Complexity

A custom integration here is typically simple. Both tools expose a REST API and offer native integrations, so a working connection is mostly configuration rather than custom development.

Need help building this?

Purcell Analytics can build a custom integration between Copper and Gladly for businesses that want this running reliably without DIY headaches. Schedule a consultation to scope your specific use case, environment, and supported integration paths.