Evaluating Ezbuycn's Procurement Promotion Campaign Data in Spreadsheets and Optimization Suggestions-OK Spreadsheet-The best and new spreadsheet

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Introduction

Ezbuycn's procurement promotion campaigns require careful evaluation to understand their effectiveness and identify improvement opportunities. By analyzing campaign data in spreadsheets, we can quantify performance, extract insights, and develop data-driven optimization strategies.

Key Performance Indicators for Evaluation

Metric	Description	Spreadsheet Implementation
Sales Growth	Percentage increase in units sold during campaign	=((Current_Sales-Previous_Sales)/Previous_Sales)*100
Revenue Lift	Percentage increase in total revenue	=((Current_Revenue-Previous_Revenue)/Previous_Revenue)*100
Conversion Rate	Visitors converted to customers during campaign	=(Purchases/Unique_Visitors)*100
Customer Acquisition Cost	Marketing spend per new customer acquired	=Total_Marketing_Spend/New_Customers

Campaign Strengths Identified

High growth in select categories:
Effective new customer acquisition:
Social media integration success:

Performance Shortcomings

Diminishing returns over campaign duration:
Limited product diversification impact:
Regional disparities:

Strategic Optimization Recommendations

A. Campaign Timing Improvements

Implement staggered promotions based on spreadsheet heatmap analysis of past peak times

Transition to multiple targeted 72-hour "flash sale" periods instead of continuous week-long campaigns

B. Product Strategy Enhancements

Use spreadsheet clustering analysis to bundle high/low performing SKUs together

Implement differential discounting (10-15-20%) tiers based on individual products' price elasticity modeling

C. Marketing Channel Optimization

Allocate 45% of budget to SMS/Social channels showing 3-4x better CTR in correlation matrices

Develop region-specific messaging (column L in spreadsheet shows local incentives drive +40% response)

Implementation Plan

To effectively implement these optimizations:

1

Transition current analysis into a dynamic Google Sheets dashboard

Slicers for regional filter controls

Product category scorecards

ROI tracking waterfalls

2

Create test and learn matrix

Variable Test Range Success Metric

Discount Depth 5%-25% increments Marginal revenue lift

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