No publishable AOV benchmark
Explore category insights and their sources below.
Madgicx Research & Labs
A connected thermostat is not enrollment
Explore category insights and their sources below.
Within Utilities & Home Infrastructure Services
Google's Nest reward-shifts guide requires an account with a participating energy partner and a thermostat added to Google Home or Nest. Suggested practice: qualify the local partner and linked account before promoting enrollment; the device purchase alone does not establish participation or geographic availability.
Google's Nest reward-shifts guide says enrolled thermostats change temperature settings based on local energy demand. Its prompt can indicate a shift up to four degrees. Suggested practice: disclose event control for the relevant partner program rather than presenting it as passive monitoring alone.
Google's Nest guide says participants can manually change temperature during a reward shift, which ends that shift. Suggested practice: describe the user's override accurately and verify the partner's incentive conditions separately; the guide does not establish a universal payment for an overridden event.
Google's Nest guide says rewards depend on the energy company and can include enrollment incentives or electric-bill credits. Total household energy during a shift can affect rewards. Suggested practice: identify the partner's reward type and measurement basis rather than promising cash or a fixed amount per thermostat.
No publishable AOV benchmark is available.
The exact category cohort does not support a publishable AOV aggregate. Parent and sibling benchmarks are not substituted.
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When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.
Research scope
Benchmark status reviewed 11 October 2026.
The exact category cohort does not support a publishable AOV aggregate.
Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census. Parent and sibling benchmarks are never substituted.
Individually authored category research. The brand directory is deferred for this private draft. Taxonomy membership does not establish benchmark coverage.
When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.