Compare AI training for customer analytics, marketing data and interpreting campaign results.
333 courses in this collection
Dr. Amar Massoud
Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions
Irlon Terblanche, Peter Alkema
Apply generative AI and predictive analytics to campaign planning, personalization, CRM integration, experimentation, content and marketing-performance reporting
Vova Even, AMZScout Сorp.
Use AMZScout for product and keyword research, review analysis, listing optimization and AI-assisted opportunity validation across Amazon business models
Hibox for Nonprofits
Use AI for donor prospect research, personalized fundraising communications and social, website and email content within a broader nonprofit literacy course
Chatfuel Platform
Create Chatfuel WhatsApp ChatGPT bots, personalize messenger conversations and integrate the bots into marketing campaigns
Skool of AI
Develop clothing-brand names and identity with AI, analyze customer data and create personalized marketing campaigns alongside broader design, store and supply-chain tasks
Ashutosh Singh
Create AI-assisted SaaS campaigns and lead-generation funnels, personalize content and use AI analytics to interpret growth performance
Christ Raharja
Build k-means customer segments, a decision-tree spending predictor and an SVM churn model, select features and interpret models for marketing decisions
Goeduhub Technologies
Build a customer-segmentation clustering project in four lessons/33 minutes after Python data preparation and ML fundamentals, broader data science is adjacent
Tobias Mayer
Prepare customer data in Python, apply supervised regression and unsupervised k-means/PCA, evaluate clusters and translate segments into targeted marketing actions
Aaron Sanchez
Implement customer-churn classification, behavioral customer clusters and a product recommender using collaborative algorithms within a four-project ML compilation, no component is counted separately
Datagist INC
Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions
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