New customers

Discover how New Customers contribute to business growth and revenue expansion. Learn how to track, analyze, and optimize customer acquisition strategies to maximize long-term success.

KPI Details

Category

Marketing

Type

Lagging Indicator

Calculation

New Customers= Total Customers at End of Period Existing Customers at Start of Period

Measure

Tracks the number of first-time customers within a given period, helping businesses assess acquisition strategies and growth trends.

Data Sources:

Google Analytics, HubSpot, Salesforce, Stripe, Shopify, Marketo, Pipedrive.

Frequency
  • Daily for high volume companies
  • Weekly for short term optimization
  • Monthly for performance tracking and reports
  • Quarterly for trend analysis and planning

Example target

Increase new customers by 20% in Q3 by optimizing paid ad campaigns, improving referral incentives, and enhancing lead nurturing efforts.

Example Reports Use Case

A Sales Manager tracks new customer acquisition to measure the effectiveness of outreach campaigns. If growth slows, they may adjust sales strategies, refine lead qualification, or improve customer onboarding.

Best Practices for New Customers

  • Refine Targeting & Outreach Efforts

    Use data-driven marketing strategies to attract high-intent customers.

  • Optimize Sales & Onboarding Process

    Ensure seamless transitions from lead to customer with strong sales follow-ups and onboarding experiences.

  • Leverage Referral & Loyalty Programs

    Encourage existing customers to refer new customers through incentives.

  • Track & Adjust Customer Acquisition Strategies

    Monitor customer acquisition trends and adjust marketing spend accordingly.

What are New Customers

New Customers represent individuals or entities who make their first purchase or sign up for services from a business within a specified time frame. This metric is vital for tracking customer acquisition, evaluating the effectiveness of marketing and outreach efforts, and understanding business growth. Commonly used in eCommerce and CRM analytics, it helps assess the balance between attracting new customers and retaining existing ones, offering valuable insight into overall customer base expansion and revenue potential.

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