AI Driven Customer Segmentation and Targeting Workflow Guide

AI-Driven Customer Segmentation and Targeting

1. Data Collection

1.1 Identify Data Sources

Gather data from various sources including:

• Customer transaction history
• Website and mobile app interactions
• Social media engagement
• Customer feedback and surveys

1.2 Utilize Data Integration Tools

Implement tools such as:

• Apache Kafka for real-time data streaming
• Talend for data integration and ETL processes

2. Data Preprocessing

2.1 Data Cleaning

Utilize AI-driven tools to clean and preprocess data:

• Trifacta for data wrangling
• Pandas and NumPy for Python-based data manipulation

2.2 Data Transformation

Transform data into usable formats using:

• Data normalization techniques
• Feature engineering with Scikit-learn

3. Customer Segmentation

3.1 Implement AI Algorithms

Utilize machine learning algorithms for segmentation:

• K-means clustering for demographic segmentation
• Hierarchical clustering for behavioral segmentation

3.2 Use AI Tools for Segmentation

Employ tools such as:

• Google Cloud AI for machine learning models
• IBM Watson for customer insights and segmentation

4. Targeting Strategy Development

4.1 Define Target Groups

Analyze segmented data to define target groups based on:

• Purchase behavior
• Customer lifetime value (CLV)
• Engagement metrics

4.2 Personalization Techniques

Implement personalization using:

• Dynamic content delivery with Adobe Target
• Recommendation engines powered by Amazon Personalize

5. Campaign Execution

5.1 Multi-Channel Campaign Launch

Deploy targeted campaigns across various channels:

• Email marketing with Mailchimp
• Social media advertising using Facebook Ads Manager

5.2 Monitor Campaign Performance

Utilize analytics tools to monitor performance:

• Google Analytics for web traffic analysis
• HubSpot for marketing automation and performance tracking

6. Continuous Improvement

6.1 Analyze Results

Evaluate campaign effectiveness through:

• Conversion rates
• Customer feedback

6.2 Optimize Strategies

Refine segmentation and targeting strategies based on insights:

• Utilize A/B testing with Optimizely
• Update AI models with new data using TensorFlow