Omnichannel Response Workflow
Customers open a ticket on email, follow up on WhatsApp two days later, and expect the agent to know what they said on Instagram last week. This playbook unifies those channels into one threaded inbox per customer, keeps the voice consistent, and respects channel-of-preference on the reply.
The problem
Most support stacks run a separate queue per channel. The email team closes a ticket the WhatsApp team is still working. Macros drift between tools. Customers repeat their order number to three agents in a week, and CSAT pays for it.
How DataChi runs it
DataCHI consolidates inbound from email, web chat, WhatsApp, Instagram DM, X, and SMS into a single conversation per contact, keyed on verified identity. A shared voice profile keeps tone consistent across channels, routing rules match the agent's language and entitlement tier, and handoff to Zendesk, Intercom, Front, or Gorgias happens with full context in the payload.
What's included
- Unified threading across email, chat, WhatsApp, Instagram, X, and SMS
- Identity stitching by email, phone, and customer ID
- Shared voice profile applied to AI-drafted and agent-sent replies
- Routing by topic, language, entitlement, and channel-of-preference
- Two-way sync with Zendesk, Intercom, Front, and Gorgias
- Reporting by channel, queue, and first-response time
Who it's for
CX leaders and support ops teams who already run two or more channels and need them to behave like one.
Outcomes
- First-response times measured against the customer's clock, not the queue's
- Fewer reopened tickets from missed cross-channel context
- A single voice the brand team can review
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Read playbook →Ready to run Omnichannel Response Workflow with DataChi?
See the playbook in action with your data, your stack, and your team.
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