App Customer Profile
Prepared By : | [Your Name] |
Company Name: | [Your Company Name] |
Date Prepared : | [Date] |
I. Demographic Information
Age: 28
Gender: Female
Location: New York City, USA
Income level: $60,000 annually
Education level: Bachelor's degree in Marketing
II. Usage Behavior
Frequency of app usage: Daily
Time spent on the app per session: 20 minutes
Most frequently used features or sections within the app: Product catalog, Wishlist, Order tracking
Devices and operating systems used to access the app: iPhone 15 (iOS 34)
III. Purchase History
Frequency of purchases made within the app: Bi-weekly
Average transaction value: $50
Types of products or services purchased: Fashion apparel, Beauty products
IV. Feedback and Reviews
Ratings and reviews left by the user: Average rating of 4.5 out of 5
Sentiment analysis of feedback: Mostly positive, praising product quality and fast shipping
Common themes or issues raised in feedback: Occasionally mention sizing discrepancies
V. Engagement Metrics
Click-through rates on app notifications or messages: 25%
Participation in loyalty programs or referral programs: Active participant in loyalty program, referred 3 friends
Social media engagement related to the app: Regularly shares purchases on Instagram (average likes per post: 100)
VI. Preferences and Interests
Product categories or topics of interest: Sustainable fashion, Cruelty-free beauty
Personalization settings: Prefers email notifications for new arrivals and sales
Preferred communication channels for receiving updates or promotions: Email, Push notifications
VII. Customer Journey Mapping
Initial discovery of the app: Discovered through influencer recommendation on Instagram
Onboarding process and user experience: Smooth onboarding process with a personalized welcome message and discount offers
Key touchpoints and interactions throughout the customer journey: Regularly engages with app notifications for new arrivals and promotions
VIII. Segmentation and Targeting
Identification of specific user segments based on similarities in behavior or demographics: Millennials interested in sustainable fashion
Targeting strategies for each segment: Personalized product recommendations based on past purchases and browsing history
IX. Lifetime Value Analysis
Prediction of the user's lifetime value to the app: Estimated lifetime value of $5,000 based on consistent purchases and engagement
Strategies for maximizing lifetime value: Implement retention strategies such as loyalty rewards and exclusive offers tailored to preferences.
X. Conclusion
Understanding our target audience is fundamental to [Your Company Name]'s mission of delivering exceptional experiences through our app. By leveraging the insights gathered from this profile, we are better equipped to meet the diverse needs and preferences of our users. Thank you for your participation in shaping the future of our app.
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