Met Food Shopper Insights

Who shops at Met Food?

A Met Food shopper is generally very high income, Asian, and upper middle age. Met Food shoppers tend to make mid to large sized trips. The sample shopper insights data below comes from receipts of real Met Food shoppers.

Met Food Shopper Receipt Data

The sample data below is captured directly from our users' consumer shopping receipts.

Purchase Cycle (days)
25.3
Avg Basket Size (units)
8.7
Avg Basket Size ($)
$28.29

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Get in touch with our team to learn more about our InfoScout Insights™ platform. It includes:

  • Omnichannel data (online & offline)
  • Real-time consumer and shopper insights
  • Behavioral data
  • Attitudinal surveys
  • And more!

Met Food Shopper Demographics

demographic
index
Female
93
Male
167
<24
68
25-34
52
35-44
89
45-54
218
55-64
35
65+
86
African American
57
Asian
139
Caucasian
89
Hispanic
123
demographic
index
Has Kids
128
No Kids
40
- $20k
79
$20k-40k
94
$40k-60k
12
$60k-80k
126
$80k-100k
116
$100k-125k
71
$125k +
228
No College
108
College
94
Adv. Degree
117

Understand Met Food Shopper Behavior

Leading brands and retailers use our consumer and shopper insights data to increase ROI, retain shoppers and consumers, find new opportunities, and more. Understand My Shoppers

When Do They Shop?

time of day
Sun
16.8%
Mon
15.3%
Tue
15.3%
Wed
14.0%
Thu
11.9%
Fri
13.5%
Sat
13.3%

Met Food Basket Size

type
index
Urgent Need (1-2 Items)
50
Express Lane (3-10 Items)
144
Fill Up (11-20 Items)
153
Pantry Stocking (21+ Items)
57

Which Retailers are Popular With Met Food Shoppers?

retailers
affinity
A&P 20.6x
BJ's 8.2x
RiteAid 7.6x
Wakefern 7.5x
channels
affinity
Drug 2.3x
Food 2.0x
Liquor 2.0x
Pet 0.8x

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Data Highlights

Real Time Shopper and Consumer Data
Daily, Not Quarterly

Get data on yesterday's purchases today.

More Shopping Trips Captured
1 in every 500 Shopping Trips

InfoScout captures 15 times more shopping trips daily than legacy panels.

Balanced Panel
The Real America

Our panel includes traditionally hard-to-reach segments like young mothers, high-income households and male millennials.