Beauty-personal-care Buyer PersonasCustomer Profiles & Market Research
Research and analyze key buyer personas in the beauty-personal-care industry. Get detailed insights into customer behaviors, preferences, and purchasing patterns.
Conscious Beauty Consumer
22-45 years old, predominantly female (82%), urban/suburban, middle to high income ($65,000-$120,000), education level higher than average (76% college educated), 58% are parents who extend clean beauty practices to their children
Average number of beauty product purchases per year
Primary Goal
Eliminate harmful chemicals from personal care routine
Beauty Enthusiast
18-35 years old, predominantly female (91%), urban/suburban, varied income levels with discretionary spending allocated to beauty, digitally native, 53% single, highly social both online and offline
Average number of beauty product purchases per year (very high)
Primary Goal
Stay current with latest beauty trends and techniques
Practical Beauty Basics Consumer
30-55 years old, mixed gender (65% female), suburban/rural, middle income ($50,000-$90,000), busy lifestyle with multiple responsibilities, 72% have children, 68% work full-time
Average number of beauty product purchases per year (mostly repurchases)
Primary Goal
Maintain acceptable appearance efficiently
Free Excel template
XLSX · 3 sheetsSee which of your 20 best sellers are incomplete
An Excel check with the columns beauty & personal care products need. In about 15 minutes you know how many of your 20 are complete, and the one fix that helps the most rows.
How it works
- Paste 20 best sellers from your shop export into Products.
- Fill in what you know. The last column says what each row is missing.
- Read your result on Start here: how many are complete, and the fix that helps most rows.
One email, once, with the XLSX attached and as a download link. Nothing else unless you tick the box.