This article provides a complete, practical walkthrough of the Mautic Webhook Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Syncing Shopify and Mautic for Seamless Email Marketing Consent Management Using n8n
   
   Meta Description:
   Explore how this n8n workflow synchronizes customer email marketing consent between Shopify and Mautic automatically. Keep your contact segments and marketing compliance up-to-date in real time.
   
   Keywords:
   n8n workflow, Shopify automation, Mautic integration, email marketing consent, Shopify GraphQL API, Mautic API, marketing synchronization, contact segmentation, webhook validation, marketing opt-in
   
   Third-Party APIs Used:
   
   1. Shopify Admin API (GraphQL)
   2. Mautic API (OAuth2)
   3. n8n Webhook
   4. n8n Crypto Module (HMAC SHA256)
   
   —
   
   Article:
   
   Automated Email Marketing Consent Sync Between Shopify and Mautic via n8n
   
   Managing customer preferences around email marketing has become more crucial than ever with increasing privacy regulations and customer expectations. Ensuring that your ecommerce platform and marketing automation system remain in sync is essential for both compliance and effective engagement.
   
   This article explores a workflow built in n8n—a powerful open-source workflow automation tool—that bridges Shopify and Mautic. The objective is to maintain parity between a customer’s email marketing consent status in Shopify and the segmentation logic of Mautic, and vice versa, with minimal manual intervention.
   
   Overview of the Workflow
   
   The n8n workflow titled "Shopify + Mautic" serves as a bi-directional synchronization engine between the Shopify Admin API and the Mautic API. It operates in two main directions:
   
   1. Shopify to Mautic: Captures customer updates in Shopify (particularly changes in email marketing consent) and reflects them in Mautic.
   2. Mautic to Shopify: When a contact is subscribed or unsubscribed in Mautic, the corresponding consent is updated in Shopify.
   
   Let’s break down how the core logic in each direction works.
   
   Part 1: Shopify to Mautic
   
   Trigger: Shopify Webhook
   
   The first node in the workflow is a Shopify Trigger monitoring the topic customers/update. This event fires anytime a customer profile is updated in Shopify, including consent to marketing communications.
   
   Step 1: Email Marketing Consent Check
   
   Using conditional logic (“Accepts Marketing?” node), the workflow analyzes whether the updated customer has subscribed to email communications by inspecting the field: email_marketing_consent.state.
   
   Step 2: Contact Matching in Mautic
   
   Before taking any action, it searches for the contact in Mautic using the provided email address. If a contact matching that email exists ("Contact exists?" node), the workflow either adds them to or removes them from a Mautic segment (e.g., Confirmed Newsletter Subscribers). If no contact is found and the consent is subscribed, it creates a new contact in Mautic and adds them to the appropriate segment.
   
   This ensures that Mautic’s audience segmentation remains up-to-date based on Shopify customer actions.
   
   Part 2: Mautic to Shopify
   
   Trigger: Mautic Webhook
   
   When a contact’s marketing subscription status changes in Mautic, a webhook is sent to the n8n instance. The payload is first verified using HMAC-SHA256 signing (via n8n's Crypto module), ensuring the webhook is legitimate.
   
   Step 1: Extract Shopify Customer Record
   
   Because the default Shopify node doesn’t return marketing consent directly, a GraphQL query node fetches the customer record by email. It utilizes Shopify’s Admin API to get critical customer details, particularly the customer ID.
   
   Step 2: Determine Action Based on Subscription Status
   
   If the contact in Mautic is now “contactable,” the workflow fires a GraphQL mutation to Shopify to mark the customer as "SUBSCRIBED." Otherwise, it marks them as "UNSUBSCRIBED" using another mutation. Either operation includes CONFIRMED_OPT_IN, adhering to best practices for marketing compliance.
   
   Key Implementation Highlights
   
   Webhook Validation for Security
   
   The workflow uses an HMAC-SHA256 signature to validate incoming requests from Mautic. The shared secret is used to calculate and compare hashes to prevent malicious injections.
   
   GraphQL for Shopify Data Integrity
   
   While the n8n Shopify node has limitations, notably in pulling email marketing consent status, this workflow uses direct GraphQL queries and mutations to work around those limitations, providing flexibility and fine-grained control.
   
   Bidirectional Sync Logic
   
   Both Shopify and Mautic platforms act as "source of truth" at different times, depending on which system initiates the customer profile update. By using "if" conditional logic nodes, the workflow executes the appropriate action needed to keep both systems aligned.
   
   Handling Nonexistent Contacts
   
   The workflow accounts for new customers with subscribed preferences by creating a record in Mautic if one does not already exist—a seamless way to grow your marketing list without manual data entry.
   
   Conclusion
   
   This n8n-based workflow is a robust and scalable solution for synchronizing marketing consent data between Shopify and Mautic. Whether you're managing thousands of ecommerce shoppers or running targeted drip campaigns, this workflow ensures your systems remain in alignment without sacrificing time or data integrity.
   
   Ultimately, it helps businesses stay compliant with privacy laws while supporting intelligent marketing automation practices across platforms.
   
   — 
   
   Interested in deploying this setup? Ensure your API credentials for Shopify and Mautic are configured in n8n, and always test your webhook validations before going live. This automation shows how UI-based workflows can achieve complex integrations without writing a single line of code.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.