Urgent Excel Pricing Analytics Support
Budget: $10 – $30 USD
I’m finalising a pricing-strategy deck and need an extra pair of expert hands in Excel today or, at the latest, tomorrow.
Here’s what I still have to build and validate:
• Economic value analysis that evaluates both revenue lift and cost savings.
• A full conjoint analysis is the top priority right now—clean part-worth estimation, importance weights, and willingness-to-pay tables.
• Cross-price elasticity via log–log regressions and clear interpretation of the elasticities.
• Solver-based optimisation to translate those insights into recommended price points.
• A quick-turn Customer Lifetime Value model to show long-term impact.
• Bundling scenarios and the resulting recommended price architecture.
All data is ready in Excel; you can use native functions, Solver, and add-ins if needed. I’ll share the file, current assumptions, and desired output format as soon as we connect.
Acceptance criteria
1. Formulas are transparent and annotated.
2. Each model passes a quick sensitivity test I’ll run.
3. Outputs fit onto the summary dashboard sheet I’ll provide.
If you’ve worked on pricing, marketing analytics, econometrics, or financial modelling before and can jump in immediately, let’s talk and get this wrapped up.
Here’s what I still have to build and validate:
• Economic value analysis that evaluates both revenue lift and cost savings.
• A full conjoint analysis is the top priority right now—clean part-worth estimation, importance weights, and willingness-to-pay tables.
• Cross-price elasticity via log–log regressions and clear interpretation of the elasticities.
• Solver-based optimisation to translate those insights into recommended price points.
• A quick-turn Customer Lifetime Value model to show long-term impact.
• Bundling scenarios and the resulting recommended price architecture.
All data is ready in Excel; you can use native functions, Solver, and add-ins if needed. I’ll share the file, current assumptions, and desired output format as soon as we connect.
Acceptance criteria
1. Formulas are transparent and annotated.
2. Each model passes a quick sensitivity test I’ll run.
3. Outputs fit onto the summary dashboard sheet I’ll provide.
If you’ve worked on pricing, marketing analytics, econometrics, or financial modelling before and can jump in immediately, let’s talk and get this wrapped up.
Related categories:
Excel
Statistics
Analytics
Statistical Analysis
Econometrics
Data Analytics
Data Analysis
Financial Modeling