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With this LTV dashboard example, monitor specific metrics such as customer acquisition cost (CAC), average order value (AOV), and lifetime value (LTV) to track the performance of your business. Segment the data by different customer segments, such as new customers versus returning customers, to analyze their individual contributions to the overall LTV.
Suggest users to share the dashboard via PDF, link or email, enabling them to influence teams or clients. For instance, you can share the LTV dashboard with the marketing team to demonstrate the impact of their campaigns on customer retention and loyalty.
Additionally, the dashboard allows users to answer essential questions about their business performance. Examples include: “What is the LTV for our top 10% of customers?” or “How does the AOV vary across different marketing channels?” These insights enable informed decision-making and help optimize marketing strategies and customer targeting.
Customize the template’s metrics and dimensions as you like. See all available fields.
– Conversion Rate
– Cost per Acquisition (CPA)
– Customer Lifetime Value (CLTV)
– Click-through rate (CTR)
– Conversion rate
– Average session duration
– Impressions
– Reach
– Share of voice
– Customer segmentation
– Channel attribution
– Time period analysis
– Age group
– Geographic location
– Income level
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A LTV (Lifetime Value) dashboard is a tool that visualizes the projected revenue a customer will generate during their lifetime with a business, which is crucial for businesses to understand customer profitability and inform marketing strategies. Common tools used to create a LTV dashboard include Looker Studio, Tableau, and Power BI, and key elements typically include customer acquisition cost, revenue, churn rate, and retention rate. Real-time data monitoring is important as it allows businesses to make timely decisions based on current customer behavior. For a detailed guide on creating a marketing dashboard using Looker Studio, visit our YouTube channel: https://www.youtube.com/@porter.metrics.
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