Advanced Marketing Plan & Stock Control Excel Template

This Advanced Excel template integrates a comprehensive Marketing Plan with real-time Stock Control, creating a unified business intelligence dashboard designed for marketing managers, supply chain analysts, and operations directors in fast-moving consumer goods (FMCG), e-commerce, retail, or product-based startups. Unlike basic templates that treat marketing and inventory as siloed functions, this template synchronizes promotional campaigns with inventory levels to prevent stockouts during high-demand periods or overstocking after failed campaigns — ensuring financial efficiency and customer satisfaction.

Sheet Names

• Dashboard – Central reporting hub with KPIs, charts, and alerts.
• Marketing_Campaigns – Tracks all active and planned campaigns.
• Inventory_Levels – Real-time stock data by SKU, warehouse, and location.
• Sales_Forecast – Predictive model based on historical sales and campaign impact.
• Product_Master – Static reference table for all products (SKU, category, cost, margin).
• Campaign_Stock_Allocation – Links campaigns to inventory allocation forecasts.
• Reorder_Points – Automated reorder triggers based on lead time and demand volatility.
• Historical_Data – Archive of past campaign performance and inventory movements.

Table Structures & Columns

• Campaign_ID (Text): Unique identifier (e.g., SUMMER24_LAUNCH)
• Campaign_Name (Text): Descriptive name
• Start_Date (Date)
• End_Date (Date)
• Budget_Allocated ($USD, Currency)
• Channel (Text: Email, PPC, Social Media, Influencer, TV)
• Target_Audience (Text)
• Promotion_Type (Text: Discount, Bundle, Free Gift)
• Expected_Sales_Increase (%): User-input projection
• Actual_Sales_Increase (%): Auto-calculated from Sales_Forecast sheet
• Status (Text: Planned, Active, Completed, Cancelled)
• ROI (%): = (Net_Profit / Budget_Allocated) * 100

• SKU (Text): Standardized product code
• Product_Name (Text)
• Category (Text: Electronics, Beauty, Food, Apparel)
• Current_Stock (Number)
• Safety_Stock (Number): Minimum buffer based on lead time and variability
• Reorder_Level (Number): Auto-calculated from Sales_Forecast & Campaign_Allocation
• Lead_Time_Days (Number)
• Cost_per_Unit ($USD)
• Selling_Price ($USD)
• Stock_Value ($USD): = Current_Stock * Cost_per_Unit
• Demand_Volatility_Index (Number: 1–5 scale): Auto-calculated using historical sales SD/mean

• Campaign_ID (Text)
• SKU (Text)
• Allocated_Units (Number): Forecasted demand increase from campaign
• Recommended_Minimum_Stock (Number): = Current_Stock + Allocated_Units + Safety_Buffer
• Risk_Level (Text: Low, Medium, High): Calculated via volatility × allocation size

Formulas Required

• ROI Calculation: =IF(Budget_Allocated>0,(SUMIFS(Sales_Forecast!D:D,Campaign_Stock_Allocation!A:A,Campaign_ID)-Budget_Allocated)/Budget_Allocated,0)
• Reorder_Level: =AVG(Sales_Forecast!C:C) * Lead_Time_Days + (STDEV.S(Sales_Forecast!C:C)*1.65) [95% service level]
• Stockout_Risk_Score: =IF(Current_Stock < Reorder_Level, “CRITICAL”, IF(Current_Stock < Reorder_Level*1.2, “HIGH”, “OK”))
• Campaign_Demand_Adjustment: =Current_Stock + (Expected_Sales_Increase% * AVG(30_day_sales))
• Weekly_Cash_Flow_Impact: =SUMIF(Campaign_Stock_Allocation!A:A, Active_Campaigns, Campaign_Stock_Allocation!C:C) * Cost_per_Unit

Conditional Formatting Rules

• Red fill: Stock below Reorder_Level + Safety_Stock OR Risk_Level = “High”
• Amaranth highlight: Campaign ROI < 50%
• Green fill: Stock above 1.5x Reorder_Level (potential overstock)
• Purple border: Products with high volatility AND active campaign
• Icon set (up/down arrows): Actual vs Expected Sales Increase (%) in Marketing_Campaigns sheet.