Customer Retention Calculator with Klaviyo Data

Call Information

Current Customer Metrics

This represents 200 customers

Customers with no purchase in 12+ months (30.0% of total customer base)

$
$

Inactive Customer Summary

Count:300
Percentage:30.0%
Active Customers:700
Active Rate:70.0%

Improvement Goals

This would add 50 multi-purchase customers

This would reactivate 50 customers (17% of inactive base)

From 2.0 to 2.5 purchases per year (25% increase)

Our Solution Delivers

  • Personalized customer engagement strategies
  • Smart reactivation campaigns for dormant customers
  • Predictive analytics to identify at-risk customers
  • Loyalty programs that increase purchase frequency

Projected Impact

Current State

Multi-Purchase Customers:200 (20%)
Inactive Customers:300 (30.0%)
Annual Revenue:$140,000
Total Customer LTV:$200,000

Improved State

Multi-Purchase Customers:250 (25.0%)
Inactive Customers:250 (25.0%)
Annual Revenue:$187,500
Total Customer LTV:$262,500

Additional Multi-Purchase Customers

+50

25.0% increase

Reactivated Customers

+50

16.7% of inactive base

Annual Revenue Increase

$47,500

33.9% growth

Total LTV Increase

$62,500

31.3% growth

Return on Investment

Based on our pricing model, your investment in our retention solution would generate a 1696% ROI in the first year alone.

*Assumption: Our solution cost is approximately 2% of your current annual revenue

Save Your Analysis

Paste your Google Apps Script Web App URL here to save data directly to sheets

How to set up Google Sheets integration:

  1. 1. Open Google Sheets and create a new spreadsheet
  2. 2. Go to Extensions → Apps Script
  3. 3. Replace the code with the Google Apps Script code (see instructions below)
  4. 4. Deploy as a Web App and copy the URL
  5. 5. Paste the URL above to enable saving
// Google Apps Script Code to paste in your Apps Script editor
function doPost(e) {
  const sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName('Retention Analysis') || 
                SpreadsheetApp.getActiveSpreadsheet().insertSheet('Retention Analysis');
  
  // If this is the first time, add headers
  if (sheet.getLastRow() === 0) {
    sheet.appendRow([
      'Timestamp', 'Call Date', 'Sales Rep', 'Client', 'Customer Base', 'Multi-Purchase Rate', 
      'Inactive Customers', 'AOV', 'Purchase Frequency', 'LTV', 'Multi-Purchase Improvement', 
      'Churn Reduction', 'Purchase Freq Improvement', 'Current Multi-Purchase Customers', 
      'Current Inactive', 'Current Annual Revenue', 'Current Total LTV', 'Improved Multi-Purchase', 
      'Improved Inactive', 'Improved Annual Revenue', 'Improved Total LTV', 'Additional Customers', 
      'Reduced Churn', 'Revenue Increase', 'LTV Increase'
    ]);
  }
  
  // Parse the form data
  const data = e.parameter;
  
  // Append the new row
  sheet.appendRow([
    data.timestamp, data.callDate, data.salesRep, data.clientName, data.customerBase,
    data.multiPurchaseRate, data.inactiveCustomersCount, data.aov, data.purchaseFrequency,
    data.ltv, data.multiPurchaseImprovement, data.churnReduction, data.purchaseFreqImprovement,
    data.currentMultiPurchaseCustomers, data.currentInactiveCustomers, data.currentAnnualRevenue,
    data.currentTotalLtv, data.improvedMultiPurchaseCustomers, data.improvedInactiveCustomers,
    data.improvedAnnualRevenue, data.improvedTotalLtv, data.additionalCustomers,
    data.reducedChurn, data.revenueIncrease, data.ltvIncrease
  ]);
  
  return ContentService.createTextOutput('Success').setMimeType(ContentService.MimeType.TEXT);
}