
Methodology
This study employed a three-stage mixed-
methodology approach to investigate Australian
interactions with information at the point of
sale when purchasing large appliances. The
methodology incorporated both qualitative
and quantitative elements to provide a
comprehensive understanding of Australian
perceptions and expectations of appliance
labelling, purchase decision-making processes,
as well as an audit of the retail environment.
The Consumer Policy Research Centre (CPRC)
established and coordinated a Reference Group to
ensure rigorous research design and policy relevance.
The Reference Group comprised experts in Australian
policy, energy, financial counselling, social research,
and product research, representing the following
organisations (in alphabetical order): Care Financial
Counselling, CHOICE, the Climate Council, Energy
Consumers Australia, Justice and Equity Centre, and
the Australian Energy Regulator.
The group provided guidance on the research
instruments, research outcomes, and policy
recommendations.
The study and all research instruments were designed
by CPRC, including mystery shop protocols and scripts,
qualitative discussion guide and self-complete activity,
and the quantitative questionnaire. The MaxDiff
choice experiment and willingness to pay activity
integrated into the quantitative survey were designed
in partnership with an external statistician and
quantitative expert.
Stage A. Mystery shop
Conducted in August-September 2024, the first stage
involved conducting a mystery shopping exercise and an
audit of Australian information available at the point of
purchase in large appliance retail environments, both in
physical stores and online.
The objective was to assess and audit the retail
landscape, examining how appliances were displayed
and what information was on display and available to
Australians, as well as recording interactions and advice
from sales assistants.
Sample details
To achieve a broad picture of large appliance retail
environments in lower socio-economic status areas
nationally, 120 appliances were mystery shopped; 100
across five states and 20 online.
Shoppers visited a broad range of store types in lower
socio-economic suburbs of greater metropolitan areas
in Adelaide, Melbourne, Sydney, Brisbane and Perth, and
shopped for higher energy intensive appliances such
as ovens, air conditioners / space heaters, fridges and
washing machines.
Stores visited were of the following profiles: n=73 large
national stores (n=65 in person, n=8 online), n=31 mid-
tier, state-specific stores (n=25 in person, n=6 online),
n=10 smaller, independent stores (all in person), n=6
online marketplaces
Design and process
Each mystery shopper followed a set procedure and
script to maintain comparability:
1. The shopper interacted with a sales assistant,
verbalising the script for their selected appliance.
2. The shopper then asked the sales assistant for
guidance on an appliance that “was eco-friendly, and
good for the environment and my energy bills”.
3. The shopper then observed and photographed the
point of sale, noting the presence of any “green”
information and the specifics of this information
(including but not limited to the Energy Rating,
references to “energy efficient”, the environment,
“sustainability”, “eco”).
Mystery shop analysis detail
Shoppers recorded all encounters in a questionnaire,
clearly showcasing the information observed at the
point of sale and the conversations had with sales
assistants. These conversations were then coded by a
CPRC researcher to determine frequencies of mentioning
(unprompted and prompted) certain factors.
Key metrics analysed included presence of green
information on the appliance display, coded mentions
by sales assistants of the Energy Rating, vague green
information, expected durability, ease of repair, and
extended warranties.
Each metric was quantified, and frequencies of
information encounters were analysed and reported.
In the analysis, we categorised different types of green
information into a series of common categories shown
throughout the report.
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