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PLCB Category Management Review October, 2007 James Short Director of Marketing Pennsylvania Liquor Control Board NABCA Best Practices Summit. Agenda. Evolution of PLCB Category Management Listing Calendar De List / Store Freeze Methodology Clustering Solution Future Goals.
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PLCB Category Management Review October, 2007 James Short Director of Marketing Pennsylvania Liquor Control Board NABCA Best Practices Summit
Agenda • Evolution of PLCB Category Management • Listing Calendar • De List / Store Freeze Methodology • Clustering Solution • Future Goals
Timeline • PLCB Fields Category Management Proposals (02/07) • PLCB Partners with Future Brands / Gallo (03/07) • Analysis of Current Solutions / Systems (04/07) • Two year Project Goals Established (04/07) • Vendor Partners Re-Locate to PA Market (08/07)
LISTING CALENDAR SIX MONTH REPEATING CALENDAR • Two Listing Periods • - Similar to National Accounts • - Conducive to Supplier Planning • Reduction From Seven Listing Periods • Shelf Sets Produced Concurrently
De-List Filter Methodology Purpose Assortment Criteria Retain If Segment Share for $ Sales > or = 5% Retain top 95% of Segment Yes No Retain If Periods Active < or = 14 Retain New Items Yes No If Segment Growth > or = 5% and Item Growth > or = 75% Segment Growth Retain Growing Items in Growing Segments Retain Yes No Retain If Item Growth > or = 20% Retain Large Growth Items Yes No Retain If Profit / Store > or = $250 Retain Profitable Items Regardless of Growth Yes No Freeze Analysis Examine Code for Possible Freeze Next Page
Spirits Freeze Methodology • Codes analyzed at store level to determine $ Profit Delivered • Code is retained if it meets a $ Profit threshold • $ Profit Threshold for an Account is Determined by the TTL $ Sales of the Store • 1. Large Stores – Avg. Retail $16.15 Avg. Profit $4.84 1.5 Bottles per wk = $7.26 x 52 wks =$375 • 2. Med. Stores – Avg. Retail $14.98 Avg. Profit $4.49 1 Bottle per week $4.49 x 52 wks = $230 • 3. Small Stores – Avg. Retail $14.67 Avg. Profit $4.40 ½ Bottle per week $2.20 x 52 wks =$115 $ Profit Needed to be Retained as Optional < $1 Million $1 Million – $3 Million > $3 Million $115 $230 $375 TTL Store Sales TTL Store Sales TTL Store Sales Next Page
Freeze Methodology Retain Code Meets Established Minimum $ Profit / Store Retain Profitable Codes in Correct Stores Yes No Freeze Code at Store Level Retain Listing TTL $ Profit Where Codes are Retained > $15,000 Retain Profitable Codes for PLCB as Whole Yes No Final Assortment Decision to Delete
Former Clusters • Cluster 1 – Wine Enthusiasts • - 62 stores • - Warehouses 1 & 2 only • Cluster 2 – Premium Wine Development • - 72 stores • - All Warehouses • Cluster 3 – Popular Wine Development • - 105 stores • - All Warehouses • Cluster 4 – Mainstream Spirits & Low Tier Wine • - 38 stores • - Warehouse 1 only • Cluster 5 – Metro Ethnic • - 36 stores • - Warehouse 1 only
Former Clusters • Cluster 6 – Brown Goods & Low Tier Wine • - 117 stores • - Warehouses 2 & 3 only • Cluster 7 – Brown Goods Development • - 151 stores • - Warehouses 2 & 3 only • Cluster 8 – Urban Ethnic • - 36 stores • - Warehouses 2 & 3 only
Why We Changed? • Less is more • Greater store similarity (Demographics) • Less variance in category performance • Increased Efficiency • Core Assortment • Marketing Plans • Clusters no longer defined by warehouse • HH Income / Cost of Living by Region
Objectives • Core List • Marketing Plans • i.e.Distribute and Promote the Correct Codes in the Correct Stores
Clustering Process • Demographic Data Pull • Demographic Analysis • - Original Cluster Designation Step 1
About the Demographic Data… • Store Specific Demographic Data • Adult Population • Referenced Against Total Pennsylvania • Indices Generated For • Income • Education • Lifestyle • Ethnicity Primary Indicators of Consumption Patterns Secondary Indicators of Consumption Patterns
Process • Sales Data Pull • - By Store / Code • Sales Data Analysis • - Secondary Cluster Designation Step 2
Analysis • DEVELOPMENT INDICES GENERATED FOR • Price Segmentation • Display Category Hierarchy of Analysis 1. Price Segmentation 2. Category Development 3. Demographic Data
Process • PLCB Regional Manager / Broker Validation • Final Recommendation Step 3
5 Clusters Identified • Cluster 1 – Upscale Metro / Suburban(105 Stores / 26.5% TTL $ Sales) • - Avg. Household Income - $91K • - Education Level - 41% College Graduation Rate • - Ethnicity – No Statistical Significance • - Key Price Segmentation – Super Premium • - Display Category Drivers – Specialty, US Cab, US Chard, Scotch, Tequila • Cluster 2 – Mid-Scale Suburban(122 Stores / 25.7% TTL $ Sales) • - Avg. Household Income - $70K • - Education Level - 29% College Graduation Rate • - Ethnicity – No Statistical Significance • - Key Price Segmentation – No Discernable Driver • - Display Category Drivers – No Discernable Driver • Cluster 3 – Rural / Blue Collar(226 Stores / 31.0% TTL $ Sales) • - Avg. Household Income - $55K • - Education Level - 21% College Graduation Rate • - Ethnicity – 93% Caucasian • - Key Price Segmentation – Value / Standard • - Display Category Drivers – Economy, Box, Beverage, Blended, Canadian
Cluster Overview • Cluster 4 – Rural / Low Volume(102 Stores / 5.4% TTL $ Sales) • - Avg. Household Income - $49K • - Education Level – 15% College Graduation Rate • - Ethnicity – 97% Caucasian • - Key Price Segmentation – Value • - Display Category Drivers – Blended, Bourbon, Canadian, Beverage, Economy, Box • Cluster 5 – Metro / Ethnic( 66 Stores / 11.5% TTL $ Sales) • - Avg. Household Income - $47K • - Education Level - 20% College Graduation Rate • - Ethnicity – 38% African-American • - Key Price Segmentation – Value • - Display Category Drivers – Brandy/Cognac, Gin, Beverage, Economy, Flavored Wine
Future Goals • Modify Core Assortment Methodology
Future Goals • Develop Category Adjacency Methodology - Vendor Partner Consumer Research Driven
Future Goals • Generate Category Specific Shelf Set Template • Bring in 3rd Party Validators
Future Goals • Implement Store Specific Shelf Sets Bi-Annually • Generate Using Store Level Sales • WillAllow for “right-sizing” of Categories
Ultimate Goal Become Category Management Self-Sufficient!!