U.S. Weekly Meal Delivery Subscribers Dataset – 5M Active Convenience-Driven Food Consumers
€1,273.65 €7,641.90Price range: €1,273.65 through €7,641.90
GDPR / Legal compliance info
Extra free email validation is included with purchased data.
Dataset of 5M active U.S. subscription meal kit consumers with recurring weekly delivery behavior and household-level engagement signals. Ideal for brands targeting convenience-driven home food planners.
Description
Published February, 2026
💰 Pricing Tiers
| Tier | Records | Description | Price |
|---|---|---|---|
| Market Test Sample | 500K | Randomized sample of active meal kit subscribers including email + behavioral activity indicators (logins/orders). Suitable for campaign testing, modeling, or lookalike seeding. Buyer provides targeting filters (engagement level, weekly meals, servings) in checkout notes. | $1,500 |
| High-Engagement Subscribers | 1.5M | Users with stronger activity signals (multiple logins/searches/orders) indicating ongoing subscription usage and higher likelihood of continued weekly ordering behavior. Includes serving size and weekly meal frequency where available. Buyer provides targeting filters in checkout notes. | $3,400 |
| Family & Multi-Person Households | 2.5M | Households ordering larger serving sizes (typically 4+), signaling family presence or shared living situations and higher recurring consumption volume. Includes delivery cadence and weekly meal commitment indicators. Buyer provides targeting filters in checkout notes. | $5,900 |
| Geo-Targeted Subscribers | Up to 3M | Region / State / ZIP filtered audience of active meal kit users for localized campaigns or logistics-based targeting. Includes delivery day and household size where available. Buyer specifies geography in checkout notes. | $7,500 |
| Full Active Consumer Dataset | 5.0M | Complete audience of active subscription meal kit users with behavioral engagement indicators, household size signals, delivery cadence, and weekly ordering patterns. Buyer may request filtering instructions in checkout notes. | $9,000 |
A large-scale dataset of 5,047,968 active U.S. consumers and entities who regularly use subscription-based weekly meal delivery services featuring pre-portioned ingredients and chef-designed recipes.
This audience represents convenience-driven food purchasers with established recurring ordering behavior — including individuals, shared households, and workplaces that rely on structured meal delivery logistics.
Unlike general grocery shoppers or recipe audiences, these users participate in scheduled weekly food procurement through subscription models, reflecting a strong preference for time-saving solutions and predictable meal planning.
The dataset captures real engagement signals such as logins, searches, and ordering activity across the 2020–2025 period.
Typical usage patterns include:
• Individual weekly meal ordering
• Multi-person household consumption
• Office or group meal provisioning
• Routine convenience-based food planning
Subscribers typically operate within a recurring spend framework consistent with premium convenience services, indicating discretionary purchasing ability and ongoing reliance on delivered meal solutions.
Included behavioral and operational indicators enable segmentation by:
• Weekly ordering intensity
• Quantity per delivery (servings)
• Delivery schedule cadence
• Engagement depth
• Geographic distribution
• Communication channels
This audience is highly relevant for organizations targeting:
• Time-constrained professionals
• Hybrid or office environments
• Shared living arrangements
• Convenience-first consumers
• Digitally managed food planning users
Applicable industries include:
• Grocery delivery
• Workplace services
• Kitchen & food tech
• Wellness & nutrition
• Smart home
• Fintech & budgeting tools
• Insurance
• Consumer lifestyle products
The dataset provides a clear view into the growing segment of consumers and organizations that prefer structured, subscription-based food access over traditional shopping and meal planning.
| Field | Completeness | Description |
|---|---|---|
| Email Address | 100% (5,047,968) | Validated format, 85% deliverability rate |
| Engagement Score | 100% (5,047,968) | App logins, searches, orders (0-5,955 interactions) |
| Weekly Meal Count | 100% (5,047,968) | Subscription frequency (0-12 meals/week) |
| Serving Size | 94.0% (4,745,089) | Household size configuration (2-16 servings) |
| ZIP Code | 78.6% (3,968,712) | Geographic targeting data |
| Delivery Day | 73.8% (3,726,409) | Preferred weekly delivery schedule |
| Full Name | 67.9% (3,426,055) | First and last name |
| Phone Number | 66.8% (3,371,537) | Mobile/contact number |
| Segment | Characteristic |
|---|---|
| Age Distribution | 63.7% Millennials and Gen X; 7% Gen Z (18-24) |
| Income Level | 59.2% earn $80k+ annually; 30% low-income bracket (student/discount segments) |
| Education | 57.3% bachelor’s degree or higher |
| Employment | 65.3% full-time or self-employed |
| Family Status | 12.2% with children under age 5; dual-income household skew |
| Trait | Index |
|---|---|
| Time-saving motivation | 43.4% cite meal planning efficiency |
| Shopping convenience | 36% prioritize grocery elimination |
| Culinary variety | 32.7% seek new cuisine exploration |
| Kitchen confidence | 1.7x more likely to request cooking assistance |
| Meal planning engagement | 1.4x more likely to plan meals weekly |
| Metric | Value |
|---|---|
| Average weekly meals | 3.18 (median: 3) |
| Most common plan | 3 meals/week (57.2% of users) |
| Standard serving size | 2 servings (76.6% of records) |
| Peak delivery days | Tuesday (34.3%), Wednesday (32.6%) |
| Secondary options | Friday (20.7%), Thursday (6.4%), Monday (6.0%) |
| Plan flexibility | Express/quick meals (15-30 min), heat-and-eat, à la carte add-ons |
| Retail integration | Kroger and affiliated grocery locations nationwide |
| Activity Level | Records | Percentage |
|---|---|---|
| Single interaction | 3,048,046 | 60.4% |
| Low engagement (2-3) | 970,357 | 19.3% |
| Moderate (4-6) | 420,393 | 8.3% |
| Active (7-10) | 175,729 | 3.5% |
| High frequency (11+) | 433,443 | 8.5% |
| Domain | Count | Share |
|---|---|---|
| gmail.com | 4,173,900 | 82.7% |
| icloud.com | 139,419 | 2.8% |
| me.com | 55,176 | 1.1% |
| optonline.net | 12,409 | 0.2% |
| mail.com | 8,003 | 0.2% |
| Other domains | 658,767 | 13.0% |
| Metric | Value |
|---|---|
| Total cleaned records | 5,047,968 |
| Records with complete data (all fields) | 3,367,814 (66.7%) |
| Records with email + name + phone | 3,370,361 |
| Data retention rate | 67.1% |
| Overall quality score | 85.1% |
| Unique email domains | 243,479 |
| Invalid format emails removed | 1,262 |
- CPG brand expansion into direct-to-consumer meal solutions
- Grocery retail partnership prospecting
- Kitchen appliance and cookware marketing
- Food ingredient supplier B2B outreach
- Culinary education and cooking class promotion
- Dietary supplement cross-selling
- Lifestyle and convenience service targeting
Sample data
email App logins/searches/orders name servings phone delivery_day weekly_meals zip_code_id [email protected] 7 Nathan C. Dykes 2.0 12057652333.0 Tuesday 2 289825.0 [email protected] 7 David Marks 2.0 13057079000.0 Wednesday 4 304464.0 [email protected] 1 3 [email protected] 1 Anthony Wilson 4.0 17579639420.0 Wednesday 5 301206.0 [email protected] 3 Megan Crawford 2.0 18473611055.0 Monday 3 278829.0 [email protected] 3 Anita Stevens 2.0 15105221834.0 Tuesday 3 302145.0 [email protected] 2 Brian J Tessier 3 [email protected] 1 Nandini Sujith Kumar 2.0 17324856793.0 Tuesday 3 281509.0 [email protected] 1 Michell Walker 2.0 14056935534.0 Tuesday 6 299147.0 [email protected] 1 4.0 5 302478.0 [email protected] 1 Taylor Jones 2.0 12347385390.0 Friday 2 274311.0 [email protected] 1 Revivia Thomas 4.0 17736201984.0 Thursday 3 278836.0 [email protected] 9 Micah Shapiro 2.0 19167640364.0 Tuesday 2 303023.0 [email protected] 44 Sybil PLANK 2.0 16508672007.0 Tuesday 3 301383.0 [email protected] 5 sophie musser 2.0 12816874795.0 Tuesday 2 302967.0 [email protected] 1 2.0 3 278814.0 [email protected] 2 2.0 4 [email protected] 4 Ashley Dicharry 2.0 15412996134.0 Wednesday 2 302509.0 [email protected] 4 Melanie Polster 2.0 17032981610.0 Wednesday 3 286580.0 [email protected] 1 2.0 3 [email protected] 2 Jill Arcurie 2.0 18475282565.0 Wednesday 4 302644.0 [email protected] 1 2.0 3 [email protected] 1 Scott Harris 2.0 13158061123.0 Wednesday 3 282451.0 [email protected] 1 Kelli Navarra 2.0 16012016734.0 Wednesday 3 292242.0 [email protected] 4 Schaune Luce 2.0 19203790706.0 Tuesday 3 278377.0 [email protected] 5 Amanda Garza 2.0 16206882928.0 Tuesday 3 296911.0 [email protected] 7 Anneliese Toft 2.0 13145405226.0 Tuesday 3 278838.0 [email protected] 2 Lea Hall 4.0 19729996056.0 Tuesday 2 300261.0 [email protected] 6 Lorrie Vross 4.0 19062826464.0 Tuesday 2 276633.0
Additional information
| Pricing tier (see table below) | Market Test Sample, High-Engagement Subscribers, Family & Multi-Person Households, Geo-Targeted Subscribers, Full Active Consumer Dataset |
|---|






