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Customer Analytics

Airbook offers a suite of plug-and-play marketing templates designed to address specific use cases across the marketing analytics spectrum. These templates come with pre-baked SQL queries, allowing users to plug in their integrations, optimize the SQL, and instantly derive insights. This guide introduces you to some of the key marketing templates available in Airbook.

Top Customer Analytics Templates

Net Promoter Score Analysis

  • Category: Customer Analytics
  • Description: Dive deep into Net Promoter Score analysis with customer feedback survey data. Calculate the NPS score, identify detractors, passives, and promoters, and understand customer dissatisfaction. Ideal for enhancing customer experience and fostering loyalty.

Customer Upsell/Cross-sell Analysis

  • Category: Customer Analytics
  • Description: Analyze customer behavior to pinpoint up-selling and cross-selling opportunities. Identify popular products and customer purchase patterns to boost revenue through potential cross-sell and up-sell avenues.

Customer Support Analytics

  • Category: Customer Analytics
  • Description: Focus on customer support ticket analysis to discern trends and improvement areas. Utilize Zendesk data to determine common ticket types, response times, and customer satisfaction. Aim for optimized support processes and enhanced customer experiences.

Customer Journey Mapping

  • Category: Customer Analytics
  • Description: Delve into customer journey mapping using lead, opportunity, usage, and billing tables. Identify qualified lead sources, analyze the active pipeline, and understand free user product interactions. Perfect for optimizing the customer journey and bolstering retention.

Customer Churn Analysis

  • Category: Customer Analytics
  • Description: A comprehensive guide to customer churn analysis. Understand churn's significance, its calculation process, and its application for informed business decisions. The guide offers an in-depth SQL walkthrough for churn analysis, including churn rate and value calculations.

Renewal Rate Analysis

  • Category: Customer Analytics
  • Description: Explore renewal rate analysis using subscription, churn, and usage tables. Calculate the renewal rate, understand churn reasons, and pinpoint improvement opportunities. Aim for an optimized renewal process and enhanced customer retention.

Referral Program Analytics

  • Category: Customer Analytics
  • Description: Analyze the efficacy of a customer referral program. Identify referred customers, conversions to paying customers, and revenue generated through referrals. Perfect for refining the referral program and maximizing ROI.

Customer Segmentation

  • Category: Customer Analytics
  • Description: Focus on customer segmentation using customer and transaction data. Identify customer segments, analyze behavior, and craft targeted marketing strategies. Ideal for understanding the customer base, enhancing experience, and fostering loyalty.

Customer Satisfaction Surveys

  • Category: Customer Analytics
  • Description: Analyze customer satisfaction surveys to gauge sentiment and refine customer experience. Calculate Net Promoter Score (NPS), analyze feedback, and identify improvement areas. Aim for a deeper understanding of customer needs and enhanced product/service quality.

Customer Retention Analysis

  • Category: Customer Analytics
  • Description: Delve into customer retention using customer and transaction data. Calculate retention rates, analyze churn, and understand retention influencers. Aim for a deeper understanding of churn, refined retention strategies, and maximized customer lifetime value.

Customer Loyalty Analysis

  • Category: Customer Analytics
  • Description: Focus on customer loyalty analysis using customer and transaction data. Calculate loyalty metrics, analyze purchase behavior, and identify loyal customers. Aim for a deeper understanding of loyalty, refined retention strategies, and maximized customer lifetime value.

Customer Feedback Analysis

  • Category: Customer Analytics
  • Description: Analyze customer feedback to understand sentiment and refine product/service quality. Analyze comments, identify common themes, and gauge sentiment. Use insights for data-driven decisions and improved satisfaction.

Customer Advocacy Analysis

  • Category: Customer Analytics
  • Description: Delve into customer advocacy analysis using customer and transaction data. Identify advocates, analyze behavior, and craft targeted marketing strategies. Aim for a deeper understanding of advocates, enhanced experience, and fostered loyalty.
More templates here- https://app.airbook.io/templates

How to Use the Templates

  1. 1.
    Access the Template: Click on the provided link for the desired template.
  2. 2.
    Duplicate the Template: Click 'Duplicate' to copy this template to your Airbook workspace.
  3. 3.
    Plug in Your Integration: Connect your data sources, such as Google Analytics, Salesforce, etc.
  4. 4.
    Optimize the SQL: If necessary, make adjustments to the pre-baked SQL queries to better suit your data structure or specific needs.
  5. 5.
    Run the Template: Execute the queries to instantly derive insights and visualizations.