| name | martech-stack |
| description | Integrate and automate marketing technology stacks including email marketing, analytics, CDP, attribution, and campaign orchestration across platforms like Mailchimp, Segment, Mixpanel, and Braze. |
| license | Apache 2.0 |
| tags | ["martech","marketing-automation","email-marketing","analytics","cdp","segment","attribution"] |
| difficulty | intermediate |
| time_to_master | 10-16 weeks |
| version | 1.0.0 |
MarTech Stack Integration
Overview
The modern marketing technology (MarTech) stack comprises 10-30 tools spanning email, analytics, customer data platforms (CDPs), attribution, push notifications, and campaign orchestration. AI agents that can operate across this stack enable unified customer journeys, automated campaign optimization, and real-time personalization. This skill covers the key MarTech APIs and integration patterns.
When to Use This Skill
- Building unified marketing automation with AI-powered orchestration
- Integrating Customer Data Platforms (CDPs) with campaign tools
- Automating email marketing workflows and A/B testing
- Implementing cross-channel attribution modeling
- Creating MCP servers for marketing operations
Core Concepts
MarTech Stack Architecture
┌─────────────┐
│ CDP │ (Segment, mParticle)
│ Unified │
│ Customer │
│ Profile │
└──────┬──────┘
│
┌────────────────┼────────────────┐
│ │ │
┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐
│ Email │ │ In-App │ │ Ads │
│ Mailchimp │ │ Braze │ │ Meta/ │
│ SendGrid │ │ OneSignal │ │ Google │
└─────┬─────┘ └─────┬─────┘ └─────┬─────┘
│ │ │
└────────────────┼────────────────┘
│
┌──────▼──────┐
│ Analytics │ (Mixpanel, Amplitude, GA4)
│ Attribution│ (AppsFlyer, Branch)
└─────────────┘
Key MarTech Categories
| Category | Purpose | Key Players | API Quality |
|---|
| CDP | Unified customer profiles | Segment, mParticle | Excellent |
| Email | Campaigns, transactional | Mailchimp, SendGrid, Klaviyo | Good |
| Product Analytics | User behavior tracking | Mixpanel, Amplitude, PostHog | Good |
| Push/In-App | Mobile engagement | Braze, OneSignal | Good |
| Attribution | Channel attribution | AppsFlyer, Branch, Triple Whale | Moderate |
| A/B Testing | Experimentation | LaunchDarkly, Statsig, Optimizely | Good |
Implementation Guide
Segment CDP Integration
import Analytics from "@segment/analytics-node";
const analytics = new Analytics({ writeKey: process.env.SEGMENT_WRITE_KEY });
analytics.track({
userId: "user_123",
event: "Purchase Completed",
properties: {
orderId: "ORD-456",
revenue: 99.99,
currency: "USD",
products: [
{ id: "SKU-001", name: "Pro Plan", price: 99.99 },
],
},
});
analytics.identify({
userId: "user_123",
traits: {
email: "user@example.com",
plan: "pro",
company: "Acme Corp",
lifecycleStage: "customer",
ltv: 1199.88,
},
});
Email Marketing (Mailchimp)
import mailchimp from "@mailchimp/mailchimp_marketing";
mailchimp.setConfig({ apiKey: process.env.MAILCHIMP_API_KEY, server: "us1" });
async function createCampaign(listId, subject, htmlContent) {
const campaign = await mailchimp.campaigns.create({
type: "regular",
recipients: { list_id: listId },
settings: {
subject_line: subject,
from_name: "Your Brand",
reply_to: "hello@yourbrand.com",
},
});
await mailchimp.campaigns.setContent(campaign.id, { html: htmlContent });
await mailchimp.campaigns.send(campaign.id);
return campaign;
}
async function getCampaignReport(campaignId) {
const report = await mailchimp.reports.getCampaignReport(campaignId);
return {
: report.,
: report..,
: report..,
: report..,
: report..,
: report.,
: report.. + report..,
};
}
Marketing Analytics MCP Server
server.tool(
"get_campaign_analytics",
"Get performance metrics for marketing campaigns across channels",
{
channel: z.enum(["email", "push", "sms", "in-app", "all"]),
period: z.enum(["last_7d", "last_30d", "last_90d"]),
},
async ({ channel, period }) => {
const campaigns = await getCampaigns(channel, period);
const summary = campaigns.map(c => ({
name: c.name,
channel: c.channel,
sent: c.sent,
delivered: c.delivered,
opened: c.opened,
clicked: c.clicked,
converted: c.converted,
revenue: c.revenue,
}));
const totals = {
sent: summary.reduce((s, c) => s + c.sent, 0),
revenue: summary.reduce((s, c) => s + c.revenue, ),
};
{
: [{
: ,
: +
+
summary.(
).(),
}],
};
}
);
Cross-Channel Customer Journey
class CustomerJourney:
"""Track and orchestrate cross-channel customer touchpoints."""
def get_journey(self, user_id):
touchpoints = self.cdp.get_events(user_id, last_days=90)
return {
"user_id": user_id,
"first_touch": touchpoints[0] if touchpoints else None,
"last_touch": touchpoints[-1] if touchpoints else None,
"total_touchpoints": len(touchpoints),
"channels_used": list(set(t.channel for t in touchpoints)),
"journey_stage": self.classify_stage(touchpoints),
"next_best_action": self.recommend_action(touchpoints),
}
def recommend_action(self, touchpoints):
"""AI-powered next best action recommendation."""
recent = touchpoints[-5:]
if not recent:
return {"action": "welcome_email", "channel": "email"}
channels_used = set(t.channel for t in recent)
channels_used channels_used:
{: , : }
(t.event == t recent):
{: , : , : }
{: , : }
Best Practices
- CDP as the hub — route all customer data through a CDP, not point-to-point
- Event naming conventions — use consistent
Object Action format (e.g., "Order Completed")
- Respect consent — check opt-in status before every outbound touchpoint
- Deduplicate contacts — merge profiles across channels using email/phone as keys
- Attribution windows — set clear attribution windows (7-day click, 1-day view)
- A/B test everything — subject lines, send times, content, and CTAs
Resources
Changelog
| Version | Date | Changes |
|---|
| 1.0.0 | 2026-03-31 | Initial documentation |