Automated Customer Segmentation with AI for Targeted Marketing

Automated Customer Segmentation and Targeting

1. Data Collection

1.1 Sources of Data

• Website Analytics
• CRM Systems
• Social Media Platforms
• Email Marketing Tools

1.2 Tools for Data Collection

• Google Analytics
• Salesforce
• HubSpot
• Facebook Insights

2. Data Preprocessing

2.1 Data Cleaning

• Remove duplicates
• Handle missing values
• Normalize data formats

2.2 Data Enrichment

• Integrate third-party data sources
• Utilize APIs for real-time data

3. Customer Segmentation

3.1 Segmentation Techniques

• Demographic Segmentation
• Behavioral Segmentation
• Psychographic Segmentation

3.2 AI Implementation

Utilize machine learning algorithms to analyze customer data and identify distinct segments based on purchasing behavior and preferences.

3.3 Tools for Customer Segmentation

• Segment.com
• BlueConic
• Optimove

4. Targeting Strategy Development

4.1 Personalized Marketing Campaigns

• Email Campaigns
• Social Media Ads
• Website Personalization

4.2 AI-Driven Targeting Tools

• Adobe Target
• Dynamic Yield
• Mailchimp

5. Performance Tracking and Optimization

5.1 Key Performance Indicators (KPIs)

• Conversion Rates
• Customer Retention Rates
• Return on Investment (ROI)

5.2 Continuous Improvement

Utilize AI analytics tools to assess campaign performance and refine targeting strategies based on real-time data feedback.

5.3 Tools for Performance Tracking

• Google Data Studio
• Tableau
• Klaviyo

6. Feedback Loop

6.1 Customer Feedback Collection

• Surveys
• Net Promoter Score (NPS)
• Social Listening Tools

6.2 AI for Sentiment Analysis

Implement natural language processing (NLP) tools to analyze customer feedback and adapt segmentation and targeting strategies accordingly.

6.3 Tools for Feedback Analysis

• MonkeyLearn
• Brandwatch
• Sprout Social