Food delivery remained the clearest difference after accounting for Life360 subscribers’ broader shopping
Multiple of the married high-income non-subscriber rate after adjusting for Life360 subscribers shopping at 1.51× as many merchants; 1.0× means equal adjusted rates, August 2025–August 2026
Multiple of shopping-adjusted matched rate (1.0× = parity)
Source: YipitData U.S. e-receipt panel. Direct-billed Life360 subscribers n=16,050; married non-subscribers with household income of at least $100,000 n=317,828. The simple shopping-activity adjustment does not account for other differences between the groups, so the result is directional.
Chart data
| Series | Multiple of shopping-adjusted matched rate (1.0× = parity) |
|---|---|
| Food delivery | 1.35× |
| Two or more auto insurers | 1.11× |
| At least one auto insurer | 0.92× |
| Warehouse club | 0.61× |
How much more shopping activity did Life360 subscribers have overall?
Life360 subscribers transacted with 26.7 distinct merchants per person, compared with 17.7 for the matched group, a 1.51× difference. They also generated 413 orders per person versus 253. For each category, the Life360-to-comparison rate was divided by 1.51 to account for Life360 subscribers shopping at more distinct merchants.
Did auto-insurance receipts remain elevated after the adjustment?
No for basic insurance presence. Its raw multiple was 1.39×, but the shopping-adjusted multiple was 0.92×. The adjusted rate for receipts from two or more insurers was 1.11×, while warehouse-club receipts were 0.61×. Multiple insurer receipts can reflect several policies, quotes, or switching and should not be read as confirmed shopping intent.
Assumptions & Methodologies
We analyzed our U.S. e-receipt panel from Aug. 18, 2025–Aug. 18, 2026. We included 16,050 direct-billed Life360 subscribers and 317,828 married non-subscribers with household income of at least $100,000. Each category comparison was divided by 1.51 because Life360 subscribers shopped at 1.51 times as many distinct merchants. Categories measured food delivery, auto insurance, multiple insurers, and warehouse clubs. This simple adjustment does not account for other differences between the groups, so the result is directional. App-store-billed subscribers are excluded, modeled demographics may be incomplete, multiple insurers do not prove shopping or switching, and the static comparison does not establish causality.