The Who, Where, When and How of Neptune's data differentiation
1
Who: Unique data-driven targeting
Quality PURCHASE LEVEL receipt data from transactions across all retailers...
Full-receipt data, refreshed weekly.
...and access to IRI VERIFIED PURCHASES
via retailer loyalty card data
Examples audiences, with data refreshed weekly
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Who
Age, Gender, HH Size, Kids
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Where
Retailer, Channel, Store
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When
Date, Day of Week, Time
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What
Quantity, Size, Flavor, Price
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Why
Life Stage & Cycle, Trip Mission, Occasion
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What Else
Total Ring, Basket Analysis, Affinities, Competitors, Coupons
- Category Shoppers
- Brand Shoppers
- Lapsed Shoppers
- Loyalists
- Loyalty Card Fata from:
2
Where & When: Focused on the ZIP Codes That Drive the Most Efficient Sales
Where: Identify stores based on brand / category performance
- Is the category growing or declining?
- Is the brand losing/gaining share?
- Is there an opportunity to grow penetration?
Where: Identify stores based on market designations
- First Scan
- Seasonality
- Competitive
- Adjust media based on store-level performance
3
How: Dynamic and Disruptive Formats
Our high-impact digital and in-store formats combined with sophisticated targeting drive the best results.
Available measurements include:
- Brand Lift: Brand Awareness, brand recall, purchase intent
- Store Traffic: Reach, frequency, store visits, store conversion rates
- Offline Sales Lift: Impact of exposed vs unexposed