We’re excited to announce that Vortex IQ has officially launched its Model Context Protocol (MCP) Server for Emarsys, enabling AI agents to act on real-time customer behaviour, sales data, and marketing performance to automate, personalise, and optimise customer engagement at scale.

With this launch, Emarsys users can now go beyond pre-defined automation flows and empower autonomous agents that respond to changing behaviour, segment customers dynamically, and trigger campaigns based on real-time insights — across email, SMS, web, and mobile.

What Is the MCP Server for Emarsys?

Vortex IQ’s MCP Server for Emarsys translates the platform’s APIs into structured tools that can be queried and executed by large language models (LLMs) and AI agents. These agents can:

• Analyse customer behaviour in real time
• Dynamically build and update segments
• Launch or modify campaigns based on product performance, customer lifetime value, or engagement scores
• Collaborate with other systems (e.g. Magento, Shopify, OrderWise, GA4, Feefo) to coordinate intelligent actions

In short, it transforms Emarsys into an intelligent, agentic engagement engine — powered by AI.

Emarsys + MCP Server: Use Cases for E-Commerce Success

Here are some of the most impactful ways that e-commerce businesses can use the MCP Server for Emarsys in combination with Vortex IQ agents.

1. Cart Abandonment Recovery with Behavioural Intelligence

• Agent monitors GA4 and e-commerce store data to detect cart abandonment
• Uses session depth, time on PDP, and number of carted items to qualify intent
• Automatically triggers the most relevant Emarsys journey:
  • Personalised product email
  • Abandonment SMS with discount
  • Push notification for mobile app users

Prompt: “Send a multi-channel cart recovery message if user viewed product 3+ times and spent >2 minutes on PDP.”

2. Product-Based Campaign Triggers

• GA4 or Magento reports a spike in PDP traffic or add-to-cart events
• Agent confirms inventory availability and margin threshold
• If product qualifies as a “trending item,” the agent:
  • Builds a spotlight campaign
  • Launches an Emarsys email or in-app message
  • Targets relevant segments based on interest and purchase history

3. Review-Informed Personalisation (Feefo + Emarsys)

• Agent analyses Feefo reviews and sentiment data
• If reviews for a product are highly positive, agent:
  • Inserts dynamic review badge into Emarsys email template
  • Prioritises top-rated items in product recommendation blocks

Boosts high-rated products in loyalty or newsletter campaigns

4. Customer Lifecycle Automation

• Agent evaluates customer journey stage:
  • First-time purchaser
  • Repeat buyer
  • Dormant user
• Triggers journey automatically based on:
  • Engagement data
  • CLV score
  • Recent product or category interactions

Example: “Send a reactivation journey to any customer who hasn’t purchased in 60 days and didn’t open last 3 emails.”

5. Inventory-Aware Marketing Automation

• Agent monitors OrderWise or store backend for low stock alerts
• Automatically pauses or adjusts campaigns in Emarsys:
  • Removes products from active campaigns
  • Swaps product recommendation blocks

Launches “Last chance” campaign if inventory is below threshold

6. Campaign Performance Optimisation

• Agent monitors Emarsys campaign KPIs:
  • Open rate
  • Click-through rate
  • Unsubscribe rate
• Recommends (or executes):
  • Subject line A/B tests
  • Segment refinement
  • Content adjustments or creative swaps
  • Timing changes based on engagement heatmap

7. Post-Purchase Experience

• After a successful order, the agent triggers:
  • Thank-you message
  • “How to use” guides
  • Review requests (coordinated with Feefo or Trustpilot)
  • Cross-sell journeys based on previous SKU

Prompt: “Trigger a post-purchase journey for any order over £100 with a product from the ‘skin care’ category.”

8. Geo & Channel-Based Engagement

• Agent segments audience by location and preferred channel
• Personalises campaigns based on:
  • Regional inventory
  • Local promotions or store events
  • SMS vs push vs email preference

Example: “Send SMS offers to London-based customers with high engagement but low email open rates.”

Role-Based Use Cases

Enterprise-Ready Infrastructure

• OAuth-secured API integration with Emarsys
• Role-Based Access Control (RBAC)
• Hosted or self-managed MCP deployment
• Event logging and audit trail for all agent decisions
• Connects with GA4, Magento, Shopify, OrderWise, Feefo, and Meta Ads

Prompt-to-Engagement Example

Prompt:
“If a customer viewed a product 3+ times in the last 7 days, didn’t purchase, and it’s still in stock, trigger a follow-up email with a 10% discount and product image.”

Agent Workflow:

• Tracks customer journey via GA4 + store data
• Confirms inventory level
• Updates Emarsys dynamic segment
• Sends personalised email via active campaign
• Monitors open and click performance

Ready to Power Emarsys with AI Agents?

The Vortex IQ MCP Server for Emarsys is now live, giving e-commerce teams the power to:

• Automate engagement 
• Personalise journeys 
• Turn real-time insights into customer-centric action

• Book a demo to see agent-powered marketing in action
• Request your MCP server deployment
• Launch your first intelligent customer engagement agent today