Excel Template for Content Planning: Product Inventory - Summary View

This comprehensive Excel template is specifically engineered for Content Planning teams managing a dynamic Product Inventory. Designed in a clean, intuitive Summary View, this template consolidates product performance data, content engagement metrics, and inventory status into a single dashboard. It eliminates the need to juggle multiple spreadsheets by integrating key KPIs from sales, marketing campaigns, warehouse stock levels, and scheduled content calendars—all presented in an easy-to-digest summary format.

Sheet Names

• Summary Dashboard – Central hub for high-level metrics and visualizations.
• Product Inventory – Master list of all products with inventory, sourcing, and logistics data.
• Content Calendar – Scheduled content activities linked to each product (blogs, social posts, videos).
• Performance Metrics – Aggregated analytics from content campaigns (clicks, shares, conversions).
• Settings & Reference – Dropdown lists, formulas reference, and categorization codes.

Table Structures and Columns

Product Inventory Sheet:

The Content Calendar Sheet links directly to Product ID and includes columns for Content Type (Blog Post, Instagram Reel, Email Newsletter), Scheduled Date, Author/Team Responsible, Channel (Website/Social/Mail), and Campaign Goal (Awareness/Conversion/Engagement).

The Performance Metrics Sheet pulls data from marketing platforms via import or manual entry. Columns include: Product ID, Content Title, Views/Clicks, Conversion Rate (%), Engagement Score (1-5 scale), and ROI Estimation ($). This sheet feeds into the Summary Dashboard using formulas.

Key Formulas Required

• =SUMIFS(Product Inventory[Current Stock Level], Product Inventory[Category], Summary Dashboard!$B$3) – Sum inventory per category shown in dashboard.
• =COUNTIFS(Product Inventory[Content Status], "Published", Product Inventory[Last Content Published Date], ">="&TODAY()-30) – Counts products with content published within last 30 days.
• =IF([@Current Stock Level] < [@Safety Stock Threshold], "LOW INVENTORY", "") – Flags inventory risk in Product Inventory sheet.
• =AVERAGEIFS(Performance Metrics[Conversion Rate], Performance Metrics[Product ID], 'Product Inventory'!A2) – Calculates average conversion rate per product.
• =TODAY() - VLOOKUP(Product ID, Product Inventory, 6, FALSE) – Days since last restock (for aging alerts).

Conditional Formatting Rules

• Product Inventory Sheet: Cells in "Current Stock Level" column turn red if below "Safety Stock Threshold"; amber if within 10% of threshold.
• Summary Dashboard: Bars in “Content Coverage” chart turn blue if ≥80% of inventory has published content; gray if <50%.
• Performance Metrics Sheet: Conversion Rate cells highlight green if above 5%, yellow between 2–5%, red below 2%.
• All "Content Status" columns use color coding: Green=Published, Orange=In Progress, Grey=Planned/Archived.

User Instructions

Example Rows

Recommended Charts & Dashboards

• Content Coverage Pie Chart: Shows % of products with published vs. pending content. Found on Summary Dashboard.
• Inventory Health Bar Chart: Color-coded bars by category showing current stock vs. safety threshold.
• Trend Line: Content Output Over Time – Monthly count of published content pieces, correlated with inventory restock dates to identify seasonal patterns.
• Scatter Plot: Inventory Level vs. Conversion Rate – Reveals if higher stock correlates with better campaign performance (valuable for budget allocation).

This template transforms raw data into strategic decisions. For teams managing hundreds of products, the Summary View ensures no product is forgotten—whether it’s running low on stock or lacks content momentum. By aligning inventory levels with content planning cycles, businesses can avoid overstocking unpopular items and under-promoting high-demand products. This integration between Content Planning, Product Inventory, and a clean, actionable Summary View is what sets this template apart as an indispensable tool for modern marketing and operations teams.