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U.S. Weekly Meal Delivery Subscribers Dataset – 5M Active Convenience-Driven Food Consumers

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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.

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Description

Published February, 2026


💰 Pricing Tiers

TierRecordsDescriptionPrice
Market Test Sample500KRandomized 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 Subscribers1.5MUsers 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 Households2.5MHouseholds 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 SubscribersUp to 3MRegion / 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 Dataset5.0MComplete 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.


This comprehensive consumer dataset of 5,047,968 verified meal kit delivery service subscribers across the United States, spanning 2020-2025. This database captures active users of weekly subscription-based meal preparation services featuring pre-portioned fresh ingredients, chef-designed recipes, and customizable dietary options including keto, vegetarian, gluten-free, and calorie-conscious selections.

Dataset Composition
FieldCompletenessDescription
Email Address100% (5,047,968)Validated format, 85% deliverability rate
Engagement Score100% (5,047,968)App logins, searches, orders (0-5,955 interactions)
Weekly Meal Count100% (5,047,968)Subscription frequency (0-12 meals/week)
Serving Size94.0% (4,745,089)Household size configuration (2-16 servings)
ZIP Code78.6% (3,968,712)Geographic targeting data
Delivery Day73.8% (3,726,409)Preferred weekly delivery schedule
Full Name67.9% (3,426,055)First and last name
Phone Number66.8% (3,371,537)Mobile/contact number

Demographic Profile
SegmentCharacteristic
Age Distribution63.7% Millennials and Gen X; 7% Gen Z (18-24)
Income Level59.2% earn $80k+ annually; 30% low-income bracket (student/discount segments)
Education57.3% bachelor’s degree or higher
Employment65.3% full-time or self-employed
Family Status12.2% with children under age 5; dual-income household skew

Behavioral Attributes
TraitIndex
Time-saving motivation43.4% cite meal planning efficiency
Shopping convenience36% prioritize grocery elimination
Culinary variety32.7% seek new cuisine exploration
Kitchen confidence1.7x more likely to request cooking assistance
Meal planning engagement1.4x more likely to plan meals weekly

Service Utilization Patterns
MetricValue
Average weekly meals3.18 (median: 3)
Most common plan3 meals/week (57.2% of users)
Standard serving size2 servings (76.6% of records)
Peak delivery daysTuesday (34.3%), Wednesday (32.6%)
Secondary optionsFriday (20.7%), Thursday (6.4%), Monday (6.0%)
Plan flexibilityExpress/quick meals (15-30 min), heat-and-eat, à la carte add-ons
Retail integrationKroger and affiliated grocery locations nationwide

Engagement Distribution
Activity LevelRecordsPercentage
Single interaction3,048,04660.4%
Low engagement (2-3)970,35719.3%
Moderate (4-6)420,3938.3%
Active (7-10)175,7293.5%
High frequency (11+)433,4438.5%

Email Domain Distribution
DomainCountShare
gmail.com4,173,90082.7%
icloud.com139,4192.8%
me.com55,1761.1%
optonline.net12,4090.2%
mail.com8,0030.2%
Other domains658,76713.0%

Data Quality Metrics
MetricValue
Total cleaned records5,047,968
Records with complete data (all fields)3,367,814 (66.7%)
Records with email + name + phone3,370,361
Data retention rate67.1%
Overall quality score85.1%
Unique email domains243,479
Invalid format emails removed1,262

Coverage Periods
Non-continuous coverage 2020-2025 reflecting compilation from multiple verified sources during peak market expansion including pandemic adoption surge and post-2022 normalization periods.

Geographic Scope
ZIP code coverage across all major US metropolitan areas with highest concentrations in urban and suburban markets where meal kit delivery logistics are optimized.

Use Cases
    • 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

File Format: CSV (UTF-8 encoded) Delivery: Secure download link

Sample data

emailApp logins/searches/ordersnameservingsphonedelivery_dayweekly_mealszip_code_id
[email protected]7Nathan C. Dykes2.012057652333.0Tuesday2289825.0
[email protected]7David Marks2.013057079000.0Wednesday4304464.0
[email protected]13
[email protected]1Anthony Wilson4.017579639420.0Wednesday5301206.0
[email protected]3Megan Crawford2.018473611055.0Monday3278829.0
[email protected]3Anita Stevens2.015105221834.0Tuesday3302145.0
[email protected]2Brian J Tessier3
[email protected]1Nandini Sujith Kumar2.017324856793.0Tuesday3281509.0
[email protected]1Michell Walker2.014056935534.0Tuesday6299147.0
[email protected]14.05302478.0
[email protected]1Taylor Jones2.012347385390.0Friday2274311.0
[email protected]1Revivia Thomas4.017736201984.0Thursday3278836.0
[email protected]9Micah Shapiro2.019167640364.0Tuesday2303023.0
[email protected]44Sybil PLANK2.016508672007.0Tuesday3301383.0
[email protected]5sophie musser2.012816874795.0Tuesday2302967.0
[email protected]12.03278814.0
[email protected]22.04
[email protected]4Ashley Dicharry2.015412996134.0Wednesday2302509.0
[email protected]4Melanie Polster2.017032981610.0Wednesday3286580.0
[email protected]12.03
[email protected]2Jill Arcurie2.018475282565.0Wednesday4302644.0
[email protected]12.03
[email protected]1Scott Harris2.013158061123.0Wednesday3282451.0
[email protected]1Kelli Navarra2.016012016734.0Wednesday3292242.0
[email protected]4Schaune Luce2.019203790706.0Tuesday3278377.0
[email protected]5Amanda Garza2.016206882928.0Tuesday3296911.0
[email protected]7Anneliese Toft2.013145405226.0Tuesday3278838.0
[email protected]2Lea Hall4.019729996056.0Tuesday2300261.0
[email protected]6Lorrie Vross4.019062826464.0Tuesday2276633.0

Additional information

Pricing tier (see table below)

Market Test Sample, High-Engagement Subscribers, Family & Multi-Person Households, Geo-Targeted Subscribers, Full Active Consumer Dataset

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