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Customer journey list

This dashboard provides a comprehensive view of your customer data, including visitor IDs, journey information, first contact sources, and product purchases.

Data items :

Visitor ID: Unique identifier for each visitor.
Journey Start Date: The date when the customer journey began.
First Contact Source Medium: Channel through which the customer first interacted with your business.
First Contact Campaign Name: Specific campaign or ad that initiated the customer's journey.
Search Campaign: Search query used by the customer.
Social Campaign: Social media campaign that the customer has engaged with.
Video Campaign: Video campaign that the customer watched.
Email Campaign: Email campaign that the customer received.
Item Name: Product purchased by the customer.

How to Use:

  1. Identify Customer Segments: Group customers based on shared characteristics (e.g., first contact source, product purchases) to identify distinct segments.

  2. Analyze Customer Journeys: Understand the typical paths customers take through your website or app and identify opportunities for improvement.

  3. Evaluate Marketing Channel Effectiveness: Assess the performance of different marketing channels in attracting and converting customers.

  4. Identify Product Preferences:  Analyze customer purchases to understand their preferences and tailor your product offerings accordingly.

Actionable Insights:

  • Personalize Marketing Efforts: Deliver targeted messages and promotions based on customer segments and preferences.

  • Optimize Customer Journeys: Remove barriers and streamline the customer experience to increase conversions.

  • Improve Marketing Channel Allocation: Allocate your marketing budget to the most effective channels based on performance data.

  • Enhance Product Recommendations:   Use customer data to provide personalized product recommendations.

Additional Considerations:

  • Data Privacy:  Ensure compliance with data privacy regulations when collecting and analyzing customer data.

  • Data Quality:  Maintain data accuracy and completeness to ensure reliable insights.

  • Data Visualization:  Use effective data visualization techniques to make complex data easier to understand.

Do you want to build a data driven marketing strategy? or access the raw data for your own reporting ?   Book a data exploration session  [here]

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