Lucky Shopper Insights

Who shops at Lucky?

A Lucky shopper is generally very high income, Asian, and senior age. Lucky shoppers tend to make small to mid sized trips. The sample shopper insights data below comes from receipts of real Lucky shoppers.

Lucky Shopper Receipt Data

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

Purchase Cycle (days)
35.9
Avg Basket Size (units)
8.2
Avg Basket Size ($)
$29.65

See More Data

Get in touch with our team to learn more about our insights. Includes:

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

Lucky Shopper Demographics

demographic
index
Female
95
Male
143
<24
141
25-34
93
35-44
88
45-54
104
55-64
134
65+
157
African American
104
Asian
462
Caucasian
59
Hispanic
109
demographic
index
Has Kids
92
No Kids
118
- $20k
105
$20k-40k
90
$40k-60k
76
$60k-80k
80
$80k-100k
117
$100k-125k
94
$125k +
163
No College
79
College
110
Adv. Degree
77

Understand Lucky 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
17.8%
Mon
14.3%
Tue
12.2%
Wed
13.2%
Thu
12.7%
Fri
13.6%
Sat
16.1%

Lucky Basket Size

type
index
Urgent Need (1-2 Items)
75
Express Lane (3-10 Items)
128
Fill Up (11-20 Items)
114
Pantry Stocking (21+ Items)
71

Which Retailers are Popular With Lucky Shoppers?

retailers
affinity
Safeway 8.3x
Smart & Final 7.2x
Trader Joe's 5.7x
Costco 4.2x
channels
affinity
Club 2.2x
Food 1.7x
Drug 1.3x
Pet 0.9x

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Shopper and Consumer Insight Clients

Data Highlights

Real Time Shopper and Consumer Data
Daily, Not Quarterly

Rapid consumer and shopper insights.

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.