Home energy report rollout

What we already know

Opower-style home energy reports — comparing a household's usage to similar neighbors — have been tested across 8M+ households in dozens of utility programs. Average effect: ~2% reduction in household electricity use, persistent for years rather than fading. Small per household but large at scale, with cost-per-kWh-saved competitive with traditional efficiency programs.

Hypothesis

Customers receiving monthly social-comparison energy reports will reduce their electricity consumption by 1–3% relative to customers not receiving reports, with the effect persisting for at least 12 months.

Intervention

Send each customer in the treatment arm a monthly mailed or emailed report comparing their previous-month electricity usage to (a) similar nearby households, (b) the most efficient nearby households, and (c) their own past usage. Include 2–3 tailored conservation tips.

Comparison / control

No report. Standard billing communication only.

Outcomes

Primary

Average daily kWh consumption over the trial period.

Secondary

• Enrollment in energy-efficiency programs (insulation, appliance rebates)
• Customer-service contacts about the report
• Cancellation / unsubscribe rate

Required sample size

Computed for α = 0.05, 80% power, balanced allocation. Pick the row whose baseline best matches your jurisdiction, then size at the MDE you can defend.

Need a custom value? Use the sample-size calculator.

Randomization

1. Identify residential utility accounts with at least 12 months of historical billing.
2. Stratify by census-block-group and prior consumption decile.
3. Randomize 1:1 within strata.
4. Begin sending reports in the same monthly cycle for all treatment customers.

Data collection

1. Monthly billing data from the utility's existing meter / billing system.
2. Customer-service contact logs (especially complaints / opt-outs).
3. Enrollment in any energy-efficiency program during the trial.

IRB / ethics

Treated as program evaluation in most US jurisdictions. The report contains the customer's own data and aggregated comparisons; no individual neighbors are identified. Standard utility privacy rules apply.

Common pitfalls

• Boomerang effect: customers below the comparison group may increase use unless the report includes a sanction-of-approval cue (smiley face, positive frame). Always include.
• Self-selection out: opt-out rates of 5–10% are normal; report them and analyze ITT.
• Multi-family buildings: meter-to-household matching is harder. Either exclude or pre-validate.

Anchor evidence — registry entries this template draws from

• Opower Home Energy Reports

  Opower (now Oracle Utilities) / 12 US utilities · United States (multi-site) · 2012 · Effect: −2.0% electricity consumption; effect equivalent to 11–20% temporary price increase

Adopt this template

Tell us your context and we'll adapt the template to your jurisdiction and help you launch. No obligation. Small pilots are typically free.