Customer Spam Complaint → Auto-Investigation → Support Ticket Resolution

beginner25 minPublished Mar 1, 2026
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Streamline customer support for RCS spam complaints with automated investigation and response workflows.

Workflow Steps

1

Zendesk

Receive spam complaints

Set up dedicated ticket categories for RCS spam complaints with custom fields for message details, sender info, and user impact level

2

Zapier

Extract complaint details

Automatically parse incoming tickets to extract key information like phone numbers, message content, and timestamps for investigation

3

Google Sheets

Cross-reference spam database

Check extracted details against known spam patterns and previously reported incidents to determine if it's part of a larger campaign

4

Twilio SMS API

Send user acknowledgment

Automatically send confirmation message to affected users acknowledging their complaint and providing immediate spam protection tips

5

Zendesk

Update ticket with resolution

Auto-populate ticket with investigation findings, apply appropriate tags, and route to specialized team if escalation is needed

Workflow Flow

Step 1

Zendesk

Receive spam complaints

Step 2

Zapier

Extract complaint details

Step 3

Google Sheets

Cross-reference spam database

Step 4

Twilio SMS API

Send user acknowledgment

Step 5

Zendesk

Update ticket with resolution

Why This Works

Reduces manual investigation time while ensuring consistent, fast responses to users, and builds a database of spam intelligence for future prevention

Best For

Customer support teams handling RCS spam complaints need to quickly investigate, respond to users, and track spam patterns efficiently

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Deep Dive

How to Automate RCS Spam Complaint Resolution with AI

Automate your customer support's RCS spam complaint handling with this 5-step workflow that investigates, responds, and tracks spam patterns in minutes.

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