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Public-safe proof

Multivariable regression

TJIX Net Sales Drivers

Linked advertising, e-commerce growth, and market trends to a business-readable net-sales growth story for TJX.

RegressionCorrelation AnalysisExcelDecision TreesScenario Modeling

Advertising Coefficient Multiplier

12.7x

Statistically proven estimated lift: ~$12.7M in net-sales volume per every baseline +$1M in localized advertising expenditure.

TJIX Net Sales Drivers

Multivariable regression · commercial analytics

What this proves

  • Problem: needed to explain which levers most credibly drive TJX net sales growth and where e-commerce and advertising investment mattered.
  • Method: used regression, correlation analysis, scenario modeling, Excel, and competitor comparison to tie advertising and e-commerce growth to net-sales outcomes.
  • Outcome: final materials attribute roughly $12.7M in net-sales lift per additional $1M in advertising spend.

Live proof bundle

This project has the strongest commercial proof bundle in the current public portfolio set:

  • the report explains the analytical narrative and recommendation framing
  • the workbook shows the supporting model structure and scenario logic
Open final report Open workbook