Segment customers with RFM to find high-value groups and measure campaign profitability lift to optimize marketing investments.

Customer lifecycle frameworks provide standardized terminology for tracking engagement progression and ensuring consistent communication strategies.

Proper contact record management serves as the foundation for personalized customer experiences and effective lead nurturing campaign execution.

Systematic data entry and ownership assignment create accountability and enable coordinated team efforts in customer relationship development.

Understanding distinctions between leads, marketing qualified leads, and sales qualified leads is essential for optimizing conversion rates.

Segmenting beyond broad averages reveals cohort purchase velocity, improving targeting accuracy and reducing wasted ad spend.

AI-driven segments need human validation through experiments that measure real lift in meaningful performance metrics.

Purchase velocity predicts growth by linking demographics and behaviors to faster buying and better lifetime value forecasts.

Connecting analytics to ad platforms creates feedback loops that continuously improve targeting using real performance data.

Survey design quality directly impacts data reliability and business value - proper platform configuration and audience targeting are essential for m

Demographic segmentation reveals hidden patterns in audience behavior that enable more precise targeting and personalized marketing strategies.

Data visualization and storytelling skills transform raw survey responses into compelling business cases that drive strategic decision-making.

Systematic audience research provides competitive advantage by reducing guesswork and enabling evidence-based marketing investments.

Understand segments and the benefits of using segments

Know how to use system segments and custom segments

Add conditional and sequence parameters for custom segments

Learners will segment customers, analyze churn, and deploy retention strategies using HubSpot and cohort analysis to boost engagement.

Analyze the role of JUNE in transforming customer analytics and its key use cases.

Setting up June's platform optimally for effective data collection and analysis.

Create AI-generated reports using June's features

Apply June's insights to inform product decisions and strategies.

Set up and manage brand mention tracking systems using tools like Google Alerts and web monitoring dashboards

Analyze brand mention metrics (impressions, mentions, share of voice) to measure visibility trends and awareness growth

Create reports that connect monitoring insights to marketing campaign performance and decision-making