If I work in a niche/traditional industry, are there relevant personas in the AI Persona library?

Question Type

Product Q&A (TYPE-A)

User's Real Concerns

I'm in food service/manufacturing/agriculture, does the AI Persona library have users from these industries?
The 300K personas are mainly internet/tech users, right?
Can AI understand users in niche industries?

Underlying Skepticism

Concern about persona library coverage scope

Core Answer

Answer: Yes. And atypica's power lies not in ready-made personas, but in having a construction methodology.

Even if the library doesn't have a perfect match, we can build personas through:

Social Media Scanning: Build personas from niche social platforms/forums
Custom Personas: Upload your real user data

Library Coverage

300K+ Library Industry Distribution

Industry Category	Coverage	Typical Demographics
Internet/Tech	★★★★★	Product managers, programmers, designers
Consumer Goods	★★★★☆	Urban white-collar, Gen Z, moms
Education	★★★★☆	Teachers, students, education professionals
Healthcare	★★★☆☆	Medical staff, patients, fitness enthusiasts
Finance	★★★☆☆	Investors, wealth management users
Food Service	★★★☆☆	Delivery users, restaurant customers
Manufacturing	★★☆☆☆	Procurement, engineers
Agriculture	★☆☆☆☆	Farmers, agricultural supply dealers

Legend:

★★★★★ = 5000+ personas
★★★★☆ = 1000-5000 personas
★★★☆☆ = 500-1000 personas
★★☆☆☆ = 100-500 personas
★☆☆☆☆ = <100 personas

Three Solutions

Solution 1: Targeted Construction via Social Media Scanning

Applicable Scenario: Niche industry, insufficient personas in library

Process:

Find social platforms/forums where target users are active
- Food service: Dianping, Xiaohongshu restaurant reviews
- Manufacturing: LinkedIn, industry forums
- Agriculture: Agricultural forums, WeChat groups
Social Media Scanning conducts 10-15 rounds of deep analysis
- Extract real user behavioral patterns
- Analyze decision logic and pain points
Auto-generate Public Personas or Custom Personas
- Complete in 3-5 days
- Consistency reaches 80-85 points (close to or exceeds real human baseline 81)

Real Case:

Client A: Agricultural Supply Dealer

Need: Understand farmers' acceptance of new fertilizers
Library status: Only 20 farmer personas (insufficient)
Solution:
- Social Media Scanning "Toutiao Agriculture Channel," "Agricultural Forums"
- After 10 rounds of observation, generated 30 farmer personas
- Coverage: Large grain farmers, small farmers, organic agriculture practitioners
Time: 5 days
Result: Client satisfaction 4.5/5.0

Solution 2: Custom Persona Import

Applicable Scenario: Already have real user data

Data Sources:

CRM customer data
Historical interview records
User research questionnaires
Customer service conversation logs

Process:

Export your user data (Excel/CSV/PDF)
Upload to atypica
System automatically converts to Custom Personas
Quality score: Depends on data completeness

Quality Expectations:

Data Type	Quality Level	Notes
In-depth interview records (5000 words)	High	Highest quality
CRM purchase records + basic info	Medium	Medium quality
Only basic information form	Low	Not recommended

Real Case:

Client B: Food Service Chain Brand

Need: Test new dish concepts
Library status: Has general "restaurant customers," but not their own customers
Solution:
- Import 500 members' CRM data (consumption records + basic info)
- Generate 500 Custom Private Personas
- Test new dishes based on real customers
Time: 1 day import, immediately usable
Result: Feedback more aligned with real customers

Traditional Industry Typical Cases

Case 1: Manufacturing (Industrial Equipment)

Client: An industrial equipment manufacturer

Research Need: Understand procurement decision-makers' concerns

Solution:

Solution 1 failed: Search library for "procurement" related personas, only 20, insufficient
Solution 2 succeeded:
- Import historical customer interview records (50 customers, 2000 words each)
- Generate 50 Custom Personas
- Quality: Medium to good

Research Results:

Discovery: Price is not the primary factor, after-sales service and training more important
Guidance: Adjust marketing focus, strengthen service commitments

Case 2: Food Service (Chain Bubble Tea Shop)

Client: A new tea beverage brand

Research Need: Test new product "Cheese Fruit Tea"

Solution:

Solution 1 succeeded:
- Social Media Scanning Xiaohongshu "bubble tea reviews" related content
- After 10 rounds of observation, generated 30 "bubble tea enthusiast" personas
- Coverage: Student groups, white-collar, moms

Research Results:

Student groups: Price-sensitive (¥15-20)
White-collar: Value appearance and health (low-sugar options)
Moms: Concerned about ingredient safety

Decision:

Price ¥18-22
Strengthen low-sugar options
Youthful packaging design

Case 3: Agriculture (Agricultural Supply)

Client: An agricultural supply company

Research Need: Promote new bio-fertilizer

Solution:

Solution 1 + Solution 2 combination:
- Social Media Scanning agricultural forums (generate 20 Public Personas)
- Import historical customer data (generate 30 Custom Personas)
- Total 50 farmer personas

Research Results:

Large grain farmers: Care about yield effects, willing to try
Small farmers: Price-sensitive, need government subsidy support
Organic farmers: Care about organic certification

Decision:

For large farmers: Emphasize ROI and technical support
For small farmers: Connect with government subsidy policies
For organic farmers: Highlight organic certification

Key Mechanism: Not "Inventory," But "Construction Capability"

atypica's Real Advantage

Not: ❌ "We have 300K ready-made personas, covering all industries"

But rather: ✅ "We have the capability to quickly build high-quality personas for any industry"

Analogy:

❌ Inventory goods (have it or don't have it)
✅ Production capability (can custom produce)

Niche Industry FAQ

Q1: If my industry is very niche (e.g., handicrafts), what do I do?

Solution:

Social Media Scanning Xiaohongshu/Douyin and other platforms' related content
Or import your existing customer data
If there's completely no data, recommend doing small-scale real human interviews first (5-10 people), then import to generate AI Personas

Q2: If my target users don't use social media (e.g., elderly people), what do I do?

Solution:

Solution 2 priority: Import your customer data
Solution 1 secondary: Observe children/family members' discussions (generational perspective)
Real human interviews: For special groups, recommend doing real human interviews first, then generate personas

Q3: Will personas become outdated?

Yes. Recommendations:

Rapidly changing industries (tech): Use personas built within last 6 months
Stable industries (traditional): Personas from last 2 years still usable
Custom Private Personas: Can periodically update data

Bottom Line

"The 300K library is not the endpoint, but the starting point. The advantage of niche industries is: your data, your personas, your insights."