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AI-Powered Marketing Automation: A Complete Walkthrough

212AY Team·2026-04-05·12 min
from sklearn.cluster import KMeans
import pandas as pd

# Load customer data
data = pd.read_csv('customers.csv')
features = data[['purchase_frequency', 'avg_order_value', 'tenure']]

# Cluster customers
kmeans = KMeans(n_clusters=4)
data['segment'] = kmeans.fit_predict(features)

Real Results

A Casablanca-based agency implemented AI marketing automation and saw:

  • 3x email open rates
  • 40% reduction in content creation time
  • 25% improvement in ad ROAS

Tools to Use

  • Email: Mailchimp AI, Customer.io
  • Social: Buffer AI, Hootsuite AI
  • Ads: Meta Advantage+, Google Performance Max
  • Analytics: Mixpane, Amplitude with AI features

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