real-life price and promotions...
TRANSCRIPT
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Real-Life Price and Promotions Optimization
Pro Tips to Maximize Success
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Introductions – Agenda
• Introduction to dunnhumby
• Regular Pricing Case Study: Chris Hunter, VP of Pricing, AutoZone
• Promotional Pricing Case Study: Brian Duff, EVP Merchandising, Associated Food Stores
• Additional Pricing Lessons from dunnhumby clients
• Q&A
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The benefits of a global view
$500 BILLIONRETAIL SPEND
NEARLY 1 BILLIONCUSTOMERS GLOBALLY
NEARLY 2,000EXPERTS
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KSS Retail is now/dunnhumby Price and Promotion
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dunnhumbyPortfolioComprehensive portfolio of strategy, research, consulting and software
• MERCHANDISE AND CATEGORY MANAGEMENT: support to retailers in the optimization of product assortment, display, pricing, promotions, inventory availability
DATA
SCIENCE
CUSTOMERSTRATEGY
CUSTOMER ENGAGEMENT
CHANNEL AND FORMATS
MERCHANDISE AND CATEGORY
MANAGEMENT
Customer Loyalty
dunnhumby BAR
ShopperThoughts
Sandtable Media Centre
Sociomantic Campaign Management
BzzAgent
Scoring Engine
Customer Strategy & Change
Connected Insights
Store Layout
Multichannel Proposition
Local Tailoring
CRM
Inventory & Stock Management
Category Leadership
Price & Promotion
Assortment, Display,and New Product Launch
ClickstreamInsights
Space Optimiser
Store Reporting
PriceStratShop LaunchPad
ShelfReview
Promotions Analytics
RetailHeartbeat
Software-led Tools
Propositions
CapabilitiesReal-time Decision Engine
Advocacy Marketing
Shopper Marketing
ProgrammaticDisplay
Digital Marketing
Media Partnerships
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Price and Promotion Services
Price and Promotion
Healthcheck
Pricing and Promotion
Loyalty Drivers
Customer KVI
Analysis
Price Perception
Tracking
Promotions and Flyer
Optimisation
Price and Promotion
Balance Matrix
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USING DATA TO DRIVE INCREMENTAL IMPROVEMENTS AND IMPROVE CUSTOMER PERCEPTION
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AutoZone Background
• Opened July 4, 1979 in Forrest City, Arkansas
• As of end of Q1, 5,635 locations in US, Mexico, and Brazil sell automotive products to the DIY & DIFM customer
• Locations include AutoZone, AutoAnything, ALLDATA, DataZone, and IMC
• Over 80,000 AutoZoners
• Culture-driven organization hyper-focused on providing our customers with outstanding service
• More than 750,000 product-level SKUs in over 70 distinct categories
• Fiscal year ended August 29, 2015, sales were $10.2 billion, $712MM over last year
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Why Optimization?
• Historically priced using manually set rules and/or gaps for products• Tested to validate price gaps for our tiered categories• Time consuming task that was laborious to update• Very generic, usually leaving a lot of opportunity• Tests were driven by “gut” feelings not science
• Goals for Price Optimization• Increase sales, profit, customer count, while maintaining customer
price perception• Set limits to maintain recommendations within our comfort zone• Improve gapping between product tiers • Improve private-label product performance
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Why PriceStrat?
• Evolving our work flows to get more efficient and improve pricing metrics
• RFP for pricing management systems
• Selected PriceStrat and evaluated forecasts vs. actual results for 6 months
• Ease of use
• Solution that “learns” with each price change
• Ability to partner more with Merchants on setting prices
• Maintainable solution scalable with our evolving business
• Expanded PriceStrat to additional Hard Part and Sales Floor categories
• Not all categories are optimized
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Challenges
Challenges with implementation
● Hiring and training a strong core pricing team
● Unique skillset (strong interpersonal skills with an analytics background)
● Change management of the teams we support
● Educate and have an open dialogue about performance and recommendations
● Establishing internal and external rules to guide recommendations
● Me too pricing challenges
Current challenges
● Maintaining excitement about optimizations
● Over time the “shock value” of the optimization diminishes and we end up only doing minor “tweaks” without significant category activity
● Experience dealing with explaining the unknown without portraying insecurities
● “Why did PriceStrat do “X” ?”
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Sales Floor Category Optimization
Using PriceStrat we:● Adjusted gapping on all choice families
– No longer standard gap
● Raised Premium tier retail to new pricing threshold
● Set boundaries we let PriceStrat adjust prices vs. current retails
● Gross margin exceeded expectations● Drove unit increase with a price
increase– Previously thought unfeasible
● Improved price perception● More distinguishable value proposition
on levels of choice
● Improve units, mix, and gross margin● Online researched destination category● Multi-tiered category with more than 4
levels of choice
RESULTS
CONTEXT
ACTION
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Application-Specific Optimization
Using PriceStrat we:● Priced by competitive zone● Adjusted gapping on mid and premium tiers● Raised mid tier retails● Lowered premium retail
● Incremental sales dollars that offset lowering of premium tier● Incremental growth in units ● Improved value perception of our category● Increased market share
● Improve retail dollars, gross, and mix● Online researched destination category● Multi-tiered category with more than 4 levels of choice
RESULTS
CONTEXT
ACTION
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CHRIS [email protected]
Thank You
IMPROVING PROMOTIONS
PLANNING WITH PRICESTRAT
ANALYZER
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Associated Food Stores Background
● Cooperatively owned wholesale distributor to almost 500 independently owned supermarkets in a nine-state region: Utah, Idaho, Colorado, Wyoming, Montana, Nevada, Oregon, Arizona and California
● $2 Billion US in wholesale sales
● Value Added Services include Retail Pricing and Marketing which provide a weekly printed Ad (among multiple other services)
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Challenges before PriceStrat/
• Limited visibility on tactical/strategic decisions
• Lack of data during vendor negotiations
• Unable to measure full effect of an ad
• Difficult to estimate ad fund costs and compare items competing for same space
• Unable to see cannibalization effect of ad prices and like items on the ad
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AFS Advertising Planning Process
AFS Ad Planning
Pre-Ad Planning
Ad Planner Report
Post Ad Review
Promo History Recap
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Example: Sour Cream
Certain items will sell regardless of being on ad
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Example: Sparkling Water
Some ad retails do not increase dollar sales
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Example: Pizza
Items that lift on ad, but the ad location does not change the lift
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Example: Tomato Paste
Identify items that were not initially chosen to be in the ad, but should be
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Challenges we’ve overcome/
• Quality of data
• Capturing our 2 week Case Lot data
• Planning timeframe
• Unify goals between Category Management and Marketing with PriceStrat Analyzer
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Challenges going forward/
• Capture data on Direct Store Delivery items
• Difficult to model perishables
• How to measure ads shorter than a week (one day, two day, weekend, etc.)
• Digital Ads
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Final Thoughts
• Best suggested ad items with data
• Detailed data for the printed ad at a glance
• Unify correlating department directions
• More effective vendor negotiations
• Thank You�
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AFS
Brian DuffSenior Vice PresidentProcurement and Supply [email protected](801) 978-8490
afstores.com
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IMPROVING PRICE PERCEPTION:
CLIENT LESSONS
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My Price Perception is driven
byB
Base Prices
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Personalized Offers
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Promotions
2Private Brands
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Assortment Price Perception
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Communication
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7Store format, layout,
service levels, returns policies
7 Drivers of Price Perception
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Optimize
Analyze
Plan
Strategy
CUSTOMER 1st Price & Promotions
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Optimize
Analyze
Plan
Strategy
CUSTOMER 1st Price & Promotions
How many valuable customers do I have?More EDV or more Promotions?More vouchers or lower prices?
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Optimize
Analyze
Plan
Strategy
CUSTOMER 1st Price & Promotions
What is the right price index?Which lines do my most price sensitive customers care about?Is 50% off better than BOGO for soft drinks?Which promotions cannibalise sales?
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Optimize
Analyze
Plan
Strategy
CUSTOMER 1st Price & PromotionsWhat happens if I run this promotion?What are my optimal price points?How can I get personalized coupons or digital messages to my key customers?What is the best assortment by store to drive price perception?
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Latest Projects
• South Africa
• North America
• France
• UK
• Japan
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Questions
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Thank You
Stop by Booth #3217
dunnhumby.com/priceandpromotion
linkedin.com/in/howardlanger
@howard_langer
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PERSONALISED
STRATEGIC PROMOTION PLANNING
INVESTMENT OPTIMISATION
LEVEL 4
CUSTOMER DRIVEN PROMOTIONS PLANNING
FORECASTING
PRICE OPTIMISING
LEVEL 3
PRICING BASICS
PROMOTIONS SCORING
LEVEL 2
TRADING DRIVEN
KVIs
LEVEL 1
DYNAMIC
PREDICTIVE
OPTIMIZED VALUE PERCEPTION
LEVEL 5
LEVEL
AB
ILIT
Y T
O C
AP
TU
RE
S
UP
ER
IOR
VA
LU
E
CAPABILITY LEVEL
30% of retailers
40% of retailers
20% of retailers
<10% of retailers
<1% of retailers
The Price and Promotion Maturity Curve
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Case Study - COOP Norway Research
SOLUTION
• Identify customers price perception drivers and share investment amongst each
• Create better Promotions plan
PROBLEM
• Expensive follower strategy
• No payback in price perception
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Case Study – COOP Norway (2)
SOLUTION
• Price & Promotions Healthcheck
• Clear Plan for next year
• Rules Based Pricing
• Competitor Strategy
PROBLEM
• Desire to move to ‘next level’
• Need to prioritise
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Case Study – Shoprite (South Africa)
SOLUTION
• Identify correct lines for price-sensitive customers
• Implement List Based Pricing Approach
PROBLEM
• Price matching wrong lines
• Price Sensitive customers losing sales
Product Sales: 5-8% volume increase
Total Store Sales: 1% increase
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Case Study – Shoprite (2)
SOLUTION
• Price & Promotions Healthcheck
• Clear Plan for next year
• 3 streams
PROBLEM
• Desire to move to ‘next level’
• Not clear how
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Case Study – Grocery
SOLUTION
• Comprehensive price perception improvement plan
• Resulting in a similar price perception to Walmart with +7pp difference in price indices
PROBLEM
• Losing LFL sales
• Large competitive price gaps
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Case Study – US Specialty
SOLUTION
• Promotions Analytics science
• Creating Guardrails for merchants
• Pricing team act as ‘concierge’
PROBLEM
• Poor Promotions
• Lack of Promotion understanding
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7 Key Recommendations
1. Competing only where you need to without overinvesting
2. Re investing in base prices on essential products – in those areas that will drive volume for your best price sensitive customers
3. Manage full SKU portfolio – Good, Better, Best, Competitive position, substitutions, logic at the shelf
4. Removing ineffective promotions to conserve margin
5. Re investing in targeted/personalised loyalty reward or rolling campaigns for valuable customers
6. Target assortment competitiveness
7. Communication plan balancing price image drivers and trade driving
Focus on valuable customers, defend price sensitive customers