
CPG Navigator
At CPG Navigator, we coach CPG brand and sales teams how to optimize their data resources.
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POS Data
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Consumer Panel Data
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Trade Promotion Data
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Media Spend
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Receipt Data
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Loyalty Data
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Government Data
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Internal Financial Data
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Other Industry Resources

Primary Solutions from CPG Navigator
Training Workshops & Speaking Engagements
Our on-site and online workshops change how CPG professionals prioritize and collaborate to take action on insights delivered. Currently offering significant discounts for academic institutions. Select Workshop Topics:
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Measuring the Value of Insights & Recommendations
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Broadening Your Awareness of CPG Resources
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Getting the Most from Your Data Suppliers (External data suppliers are encouraged to attend.)
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“Other” Places to Look for Growth Opportunities
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CPG Fundamentals (for those new to the industry)
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Learning from Case Studies
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Making Your Recommendations More Persuasive
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Asking Better Research Questions
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Customized Training on Key Industry Topics
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Short-Term Staff Augmentation
Our team members bring a wide variety of advisory and analysis expertise using POS, consumer panel, trade, and media data to support our CPG clients. Examples of Key Skills Available:
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Advanced POS Analysis
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Advanced Consumer Panel
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Trade Funds Management
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Media Strategy
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Digital Marketing Strategy
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Social Media / Influencer Strategy
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Ecommerce Strategy
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Google Analytics
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Building Report Templates
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Transitioning Between Data Suppliers
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Insights Utilization Assessment
We show sales and marketing teams how to drive more value from data partners like NielsenIQ, IRI-Circana, Numerator, and others.
How it works:
1 - Schedule 1-hour calls with leaders driving brand insights
2 - Conduct assessment interviews
3 - Present assessment document 4 days later
4 - Conduct a 60-day follow-up call to determine impact on processes
Below is a small sample of some audit dimensions measured for consumer brands:
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Utilization of Insights & Recommendations
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Dollars Spent on Data Resources per Documented Recommendation
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Average Dollar Potential per Recommendation
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“Action vs. Rejection” Ratios Across Recommendation Types
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Average Number of Insights/Recommendations per Data Resource User
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Data Resource Spend Per Brand Retail Dollar, and Per Unit Sold
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Seasonality
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Top (and Worst) Category Sales Weeks
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Weeks with My Highest/Lowest Brand Share
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My Brand’s Share on Top Category Weeks
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Retailers with Highest/Lowest Seasonal Spikes for My Category/Brand
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Retail Promotions
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Category’s Average Weeks Retail Promotions Per Year
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Retailers Promoting My Category Least Frequently
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Retailers Under-Promoting My Brand
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My Feature Ads with Highest/Lowest Pricing
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Percent of my Feature Ads Shared with Competitors
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Promo Spend Per Incremental Unit
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Retailer Pricing
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Retailers with Highest/Lowest Pricing on my Top Items
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My Largest Price Gaps Vs. Competitors
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Price Variation Across Retailers for My Brand vs. Competitors
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Estimated Dollar Value of Each Price Adjustment Recommendation
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Assortment/Distribution
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Competitors with the Most Distribution Changes This Month
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Retailers Removing My Items This Month
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Brands with Most Distribution Gains/Losses
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Competitors with Distribution Gains at My Expense
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Consumer Dynamics
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Brands with Largest Changes in Penetration, Buying Rate, Frequency, Purchase Size
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Percent of Brand Sales from Heavy Buyers Vs. Loyal Buyers
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Buyer Turnover Rate Across Brands
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Other Dimensions Measured:
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Insight & Recommendation Quotas
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Scorecards Vs. Ad Hoc Reporting
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Report Timing Expectations
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Archiving Data and Insights
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Documenting “Failed” Recommendations​
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