Moving Beyond Incentives:
Using Program Data to Transform the Grocery
Marketplace in the PNW
Stephen Achilles
May 13, 2014
A New Model
• Introduction
• The How
• Behind the success
• Implication
Overview
Markets Served
First Two Years - Mediocrity
• Started in 2005
• Standard approach for a year and half
• Measures installed
• Free gaskets
• Free vending misers
• Low cost or free strip curtains
• Fly by night contractors
Three Changes
Resulting Impact
• 90% market penetration
• Expanded into related markets
• New technology
• introductions
• Over 250M kWh in top 4 years
HOW ESG USED DATA
Program Data
Audit data Installed Measures
Market TrendsIndustry relationships
Promotions: The $2M Drive for Savings
• Limited time promotion
• Bonus incentive dollars
• Measures of interest
• Improve the Grocer’s business
How it Worked
Grocer suggestion
Plan the promotion
Utility approval
Begin campaign
Campaign
• Select measures and incentives
• In-person, mail and e-mail/fax
• Utility involvement
• Limited time
Major Impact
• Demand increase
• Spoke grocer’s language
• Powerful call to action
• Market velocity
Buying Groups: Floating Head & Suction
How it Worked
Grocers interested but no purchased
Group prospects by geography
RFP Process
Begin projects
Major Impact
• Demand increase
• Price reductions of almost 30%
• Market awareness
• Pricing stayed low
• Reduced energy bills
Buy Down
How it Worked
Manufacturer interest
Grocer interest
RFP Process
Begin projects
Major Impact
• Demand increase
• 38% price reduction
• Increased revenue for contractors
• Pricing stayed low
• Opened new markets
• Multiple measures implemented
BEHIND THE SUCCESS
Trustworthiness
𝐶𝑟𝑒𝑑𝑖𝑏𝑖𝑙𝑖𝑡𝑦 + 𝑅𝑒𝑙𝑖𝑎𝑏𝑖𝑙𝑖𝑡𝑦 + 𝐼𝑛𝑡𝑖𝑚𝑎𝑐𝑦
𝑆𝑒𝑙𝑓 𝐼𝑛𝑡𝑒𝑟𝑒𝑠𝑡
Market Knowledge
National
Chains
Regional
Chains
Local Chains
Independent
Stores
Industry
Associations
Ethnic
Grocers
Refrigeration
Contractors
Electrical
Contractors
Data Accuracy
• RFPs
• Bidders requirements
• Additional incentive pool
• Future credibility
IMPLICATIONS
Market Transformation
Behavior
Change
Market
Aware-
ness
Demand
Creation
Contact Information:
Stephen Achilles
ConserveNW
800.789.4389
sachilles@conservenw.com
www.conservenw.com
Save The Dates
For more information - www.aesp.org
AESP’s Summer Conference
San Francisco, CA
AESP’s National Conference
Orlando, FL
Aug. 4-6, 2014
Feb. 9-12, 2015

AESP Spring Conference

Editor's Notes

  • #6 “If you have get a third of the grocers to do something you will be a rock star.” Highly remote – pop of 13.5M and target population of 7M Some of the lowest electric rates in the country ($0.03-$0.075 per kWh) 400M sq ft covered about 220M (3rd largest state (Cal is 163.7) or (almost 18 Marylands) Harney Electric Cooperative: territory is the size of West Virgina – they have 4,000 customers
  • #8 THEME: We looked at this as a business and not an energy efficiency program Rebuilt the program with a customer focus Hired different people, focus on customer Trust formula Tell 3 stories : May Au The Mikes Paul
  • #9 Within 4 years
  • #11 Big vs Small data Big data will be able to predict opportunities Small data uses what we have
  • #13 Grocers know promotions so we used their tools
  • #14 It started when a grocer commented to a field rep – “You should run a sale. You know we understand a sale.” We planned a promotion and built it with the utility We selected key measures and incentive increases Cost of sales Price will fall and not return
  • #15 We did what a grocer would do … we ran a promotion We did it ourselves – limited marketing expertise We focused on measures that were identified as a frequent opportunity but not selected. We then used our market knowledge to focus on 3 measures: Case motors Case curtains Fred Meyer/Kroger story
  • #16 We tripled expectations What are we going to do next
  • #17 Ask question: Who is familiar with this measure A complex measure – lots of interest but too expensive A promotion was not going to work – limited providers The cost of sales is high
  • #18 Define a Buying Group Over 120 interested but did not buy Over 60 would join the effort Over 50 stores Cost of sales Again: Price will fall and not return Spinoff effect was large – within 18 months twice the number of projects were completed
  • #20 Not just for residential
  • #21 Lots of industry players GE Story
  • #22 GE story Kroger/Fred Meyer story Product had to be brought in from other markets All in a territory with some of the lowest rates in the country
  • #23 The data is not enough
  • #24 If the market does not trust you this will not work Market knowledge: Ryon – top contractor Ali – ethnic grocers Mike – grocer of the year
  • #25 The data makes it happen but market knowledge is key to a great program
  • #27 The data is not enough
  • #28 Positive feedback Market Transformation: Demand increase Market price dropped Increased awareness Get people excited about energy Changed behavior
  • #29 Positive feedback