Episode 3: Target Audience aur Customer Psychology
Ideal customer kaun hai, uski needs aur dar kya hain, aur woh kharidne ka decision kaise leti hai.
Agar aap ek party mein jaakar har insaan ko ek hi joke sunao, toh aadhe hasenge, aadhe bore honge.
Marketing mein “sabke liye” ka matlab hota hai “kisi ke liye nahi”.
Is chapter mein hum decide karenge ki StyleStreet ka joke kisko sunana hai, aur use hasi kaise aayegi.
Target audience kya hai?
Logon ka woh specific group jinke liye aapka product sabse zyada useful hai aur jinke kharidne ke chances sabse zyada hain.
“Sab women” target audience nahi hai. Yeh hai:
“24–34 saal ki working women, Rajasthan ke shehron mein, jo office ke liye comfortable lekin stylish cotton kurtis ₹700–1,000 mein dhoondhti hain.”
Jitna specific, utna aasaan: content banana, ad target karna, aur sahi words chunna.
Audience ko 4 layers mein samjho
Demographics
Age, gender, income, location, job.
26 saal, Jaipur, HR executive, ₹35k/month
Psychographics
Lifestyle, values, interests, personality.
Simple elegant look pasand, sustainable fabric ki fan
Behaviour
Online kaise kharidti hai, kab, kahan.
Raat 9–11 Insta scroll karti hai, Myntra sale ka wait karti hai
Pain points
Problem, dar, frustration.
“Online kapda fit nahi aata”, “cotton dhone ke baad sikud jaata hai”
Pehli layer batati hai kisko target karna hai. Baaki teen batati hain kya bolna hai.
Customer persona: Priya se milo
Persona ek imaginary lekin data-based character hai jo aapke ideal customer ko represent karta hai. Isse team ko ek “chehra” milta hai.
Priya Sharma, 27
| Job | Bank mein relationship executive, Jaipur |
| Budget | Ek kurti par ₹700–1,100 |
| Need | Office ke liye 5–6 kurtis jo repeat na lagein |
| Pain | Online size ka bharosa nahi, fabric photo jaisa nahi aata |
| Platform | Instagram (raat), WhatsApp, kabhi Myntra |
| Trigger | Salary aane ke baad, festive season, naya job |
| Quote | “Mujhe aisi kurti chahiye jo comfortable ho, lekin meeting mein bhi achhi lage.” |
Customer psychology: log kharidte kyun hain?
Log product nahi kharidte, feeling kharidte hain. Priya kurti nahi, “office mein confident dikhna” kharid rahi hai.
| Psychology trigger | Matlab | StyleStreet mein use |
|---|---|---|
| Social proof | Doosre kharid rahe hain toh safe hai | Customer photos aur reviews highlight |
| Scarcity | Kam stock, jaldi lo | “Har design ke sirf 30 pieces” (sach ho tabhi) |
| Trust | Dhokha nahi hoga | Easy return, COD, real fabric video |
| Belonging | “Mere jaise log” is brand ke saath hain | Real working women models |
| Convenience | Aasaan ho toh kar lete hain | 1-click WhatsApp order, clear price |
Imandari zaroori hai: fake scarcity ya fake reviews ek baar bechenge, lekin trust hamesha ke liye tod denge.
Pasand hai, phir bhi kyun nahi kharidti?
In rukawaton ko objections kehte hain. Har objection ka ek jawab marketing mein hona chahiye.
| Priya ka dar | StyleStreet ka jawab |
|---|---|
| “Size galat aaya toh?” | Size chart + “free size exchange” |
| “Photo jaisa nahi hoga” | Real daylight video, unfiltered |
| “Naya brand hai, paisa doob gaya toh?” | COD option + 200+ customer reviews |
| “Thoda mehenga hai” | Fabric quality aur kitni baar pehen sakte ho, woh dikhao |
| “Baad mein dekhti hoon” | Reminder message, limited stock info |
Buying decision ke 5 steps
- Need: “Next week naya job join karna hai, kurtis chahiye.”
- Search: Instagram par “office kurti” dekhti hai.
- Compare: 3 brands ke price, reviews, return policy check.
- Purchase: jahan sabse kam risk aur clear process ho.
- After-purchase: kurti achhi nikli? Toh review, repeat, aur saheliyon ko recommend.
Har step par alag content kaam karta hai. Isko Stage 6 mein funnel ke saath detail mein karenge.
StyleStreet ki real problem
StyleStreet “sabke liye” ban gaya tha
Neha ke posts mein kabhi college girls ke crop tops, kabhi shaadi ke lehenge-style dresses, kabhi office kurtis. Captions bhi generic: “New collection! DM now.”
Result: koi bhi customer ko feel nahi hota ki “yeh brand mere liye hai.” Followers aaye lekin mixed audience, aur orders kam.
Fix: primary audience (Priya jaisi working women) pick karo, aur 70% content unke liye banao.
Practical example: Same kurti, do alag captions
Pehle (generic)
“New arrival 😍 Beautiful kurti. DM for price.”
Kisi khaas insaan se baat nahi kar raha
Baad mein (Priya ke liye)
“Monday meeting, Friday lunch, dono mein perfect. 100% cotton, 8 ghante comfortable. ₹899, free size exchange. Order: WhatsApp link bio mein.”
Need, pain, trust aur action sab cover
Doosra caption Priya ki zindagi se baat karta hai: office, comfort, size ka dar, aur clear price.
Aapka mission: Apna customer persona banao
StyleStreet ke liye ek secondary persona banao (jaise college student ya young mother):
- Naam, age, city aur job/occupation likho
- Budget aur shopping platforms likho
- 3 needs aur 3 pain points likho
- Usko kharidne ke liye kya trigger karta hai, likho
- 3 objections aur unke jawab likho
- Ek line ka quote likho jo woh khud bolegi
Quiz
-
Inmein se sabse achha target audience kaunsa hai?
- A. Saari women
- B. Fashion pasand log
- C. 24–34 working women, Rajasthan, office cotton kurtis ₹700–1,000
- D. Instagram users
Answer dekho
Sahi jawab: C. 24–34 working women, Rajasthan, office cotton kurtis ₹700–1,000
Specific audience se content aur targeting dono aasaan aur sasta hota hai.
-
“Online kapda fit nahi aata” kis layer mein aata hai?
- A. Demographics
- B. Pain points
- C. Behaviour
- D. Location
Answer dekho
Sahi jawab: B. Pain points
Yeh customer ka dar/frustration hai, yaani pain point.
-
Customer photos aur reviews dikhana kaunsa psychology trigger hai?
- A. Scarcity
- B. Social proof
- C. Urgency
- D. Discount
Answer dekho
Sahi jawab: B. Social proof
Doosre kharid kar khush hain, yeh dekhkar naye customer ko bharosa milta hai.
-
Persona ke baare mein kya sahi hai?
- A. Ek baar banao, kabhi mat badlo
- B. Yeh data-based hypothesis hai, real info aaye toh update karo
- C. Sirf imagination se banta hai
- D. Sirf bade brands ke liye hai
Answer dekho
Sahi jawab: B. Yeh data-based hypothesis hai, real info aaye toh update karo
Persona ek starting point hai, jo data ke saath behtar hota rehta hai.
Client project mein output
Project file mein ab Target Audience Report add hui:
- Primary persona: Priya, 27, working woman, Jaipur
- Secondary persona: aapka banaya hua
- Top pain points: size, fabric quality, trust
- Objection-answer table: 5 rows
- Content rule: 70% content primary persona ke liye
Golden rule: Sabko bechne ki koshish mat karo. Samjho ki aapka product kis insaan ki problem solve karta hai, aur phir sirf usse baat karo.