ChatGPT Ads 89 Mulkon Mein: Agencies Ke Liye $1 Billion Channel Ka Playbook
21 October ko OpenAI ne ChatGPT ads 26 mazeed mulkon mein khol diye — ab total 89 mulk ho gaye. In mein 14 Latin American mulk (Argentina, Chile, Colombia, Peru) aur Nigeria, South Africa, Serbia, Ukraine, Cambodia, Bangladesh aur Pakistan bhi shamil hain. Company ke mutabiq 100,000 se zyada advertisers ab tak campaigns chala chuke hain, aur August mein is ne $1 billion annualized revenue run rate report kiya tha. Matlab taqreeban 8 mahinon mein ek billion dollar ka ad channel ban gaya — jo is saal ke shuru mein sirf US mein ek chhota test tha.
Ads abhi bhi sirf Free aur Go plans par chalte hain; Plus, Pro aur Enterprise users ko ads nahi dikhte. Advertisers ya to tech partners ke zariye andar aate hain, ya self-serve Ads Manager se.
Ek agency owner ke tor par aap ke liye ye khabar sirf ek marketer ke liye khabar nahi — ye ek nayi service line hai. Har naya ad inventory ek hi script par chalta hai: shuru mein attention sasti hoti hai aur expertise naayab. Ek saal baad attention mehngi ho jati hai aur har agency wahi service bech rahi hoti hai. Jo agencies transition ka kaam waqt par bechti hain, unhe clients milte hain; jo intezar karti hain, unhe kuch nahi milta. Hum ne ye film mobile, Facebook Shops aur TikTok Shop ke waqt dekhi hai — aur har dafa waqti kaam bechne walay agencies jeette hain. Hum ne is bare mein likha tha jab AI shopping-agent readiness ko service ki shakal mein bechne ka tareeqa samjhaya tha — aur wahi playbook yahan bhi chalega.
Clients ke paas sawal hai, jawab nahi
Is maamle ka sab se bara faida ye hai: aap ka client khabar sun chuka hai, lekin usay pata nahi ke ChatGPT ads se usay chahiye kya. Woh bas puchega: “kya humein is par hona chahiye?” Ye ek kharidar ki behtareen halat hai. Jiske paas tez, wazeh brief hoti hai woh paanch agencies se rate compare karta hai. Jiske paas dhundla sa khadsha hota hai woh rehnumai ke paise deta hai. Aap ka kaam us khadshe ko shakal dena hai: ek naam wali service, wazeh deliverables, ek keemat, aur ek metric jo badle.
Pehle infrastructure dekhein, hype baad mein
Channel ko khareedne layak wahi cheez banati hai jo boring lagti hai: measurement ka infrastructure. OpenAI ne pichle kuch mahinon mein sab se pehle measurement stack banaya hai. ChatGPT Ads Pixel aur Conversions API purchases, leads, installs aur sign-ups track karte hain. Attribution partners ki list lambi hai: AppsFlyer, Triple Whale, Adjust, Branch, Singular, Kochava, Airbridge, Tenjin. Fospha, Measured aur INCRMNTAL full-funnel measurement ke liye; Haus, Measured aur WorkMagic geo-based incrementality tests ke liye. DoubleVerify aur Integral Ad Science ke brand-suitability pilots ad environment check karte hain baghair private conversations ko chhue, aur “Negative Phrases” control advertisers ko placement exclusions define karne dete hain. September mein AI-powered creative tools bhi aaye, aur select US advertisers ke saath “business-sponsored agents” ka test chal raha hai.
Ye wahi plumbing hai jise lagane ke agencies paise leti hain. Naye channel par sab se aam ghalti creative se mutaliq nahi hoti — brands pehle mahine headlines par behas karte hain jabke unki tracking adhoori hoti hai, phir dusre mahine apne hi numbers par yaqeen nahi karte. Pehle wiring bechein. Pixel-aur-API setup engagement sab se aasaan “yes” hai jo aap kabhi suneinge — har client ko iski zaroorat hai, aur day one par taqreeban kisi ke paas ye theek se nahi hota. ChatGPT ka visual ad format is mahine launch hua tha — usi measurement stack ke saath — aur jin advertisers ne test se pehle tracking wire kar li thi, wahi apne results parh sake.
Proposal mein kya rakhein
Ek dafey ka “ChatGPT ads audit” PDF mat bechein. Audit is category ka sab se dhundla kaam hai: 30 safhat ka deck, red-yellow-green table, ek dafa deliver, ek dafa invoice, phir kabhi khola nahi jata. Audits us sawal ka jawab dete hain jo client dusre din bhool jata hai. Iski jagah musalsal kaam bechein — aur ek proposal jo jawab leta hai aur jo ignore hota hai ke darmiyan farq bilkul yahi wazeh detail hai.
Ye package hum is mahine pitch karein ge:
1. Conversational-readiness review. Har brand chat surface ke liye nahi bana. Jin products par log research karte hain, compare karte hain, sawal poochte hain — home goods, fashion, health supplements, B2B tools — woh fit hote hain. Impulse buys aur coupon-driven offers nahi. Client ko seedha bata dein ke woh kaun si category hai. Ghalat client ko “aap ko abhi yahan advertise nahi karna chahiye” kehna sab se tez credibility banata hai — aur sahi client se “yes” lena aasaan kar deta hai.
2. Surface ke liye bana hua creative. Sust tareeqa ye hai ke wahi static product banner utha kar laga diya jo aap retargeting par chalate hain. Creation flow mein woh mar jata hai. ChatGPT user aadhe sawal, aadhe imagination mein hota hai — jo creative chalega woh inspiration ya mufeed jawab lagega, rukawat nahi. Hum shuru mein har client ke liye teen se paanch variants ka budget rakhein ge, kyunke abhi kisi ko nahi pata ke placement kis visual register ko reward karta hai. Jinke paas real usage photography hai woh aadha rasta tay kar chuke hain. Jinke paas white-background packshot aur discount code hai, unhe paise lagane se pehle shoot karwana hoga.
3. Media se pehle measurement. Pixel, Conversions API, ek attribution partner jo client pehle se use karta hai, aur unke current channels se ek baseline. Pehle hafte mein wire karein. Yehi woh hissa hai jo retainer ko justify karta hai: attribution sirf tab imandar rehti hai jab koi usay dekhta rahe.
4. Monthly management retainer, test budget cap ke saath. Ise starter service ki tarah price karein — mamooli monthly fee aur ek capped test budget jo client control kare. Jo pitch chalti hai: “Hum aap ko ek naye billion-dollar channel par live kar dein ge, wired aur measured, Meta ke ek zaya hafte se kam kharch mein.” Aap learning-curve arbitrage bech rahe hain. Auction abhi bhi sasta hai kyunke 100,000 advertisers Meta par bid karne walon ke muqable mein kuch bhi nahi.
Woh pitch jo na karein
Hum ne agencies ko naye channel ke peechay yehi ghalti baar baar karte dekha hai: novelty se shuru karte hain, “first-mover advantage” ka wada karte hain, aur aisi umeedein lagate hain jo platform poori nahi kar sakta. ChatGPT ads sirf Free aur Go plans par hain — sab se casual segment, woh log jo product ke liye $20 mahina dene ko tayyar nahi. Kisi ne ab tak prove nahi kiya ke ye audience high-ticket offers ke liye scale par convert karti hai. Agar aap ke client ka average order value $300 hai aur aap free-tier chat surface se pipeline ka wada karte hain, to teesre mahine ka review call dardnaak hoga.
Iski jagah experiment framing use karein. “Ye scale campaign nahi, learning campaign hai” — ye woh jumla hai jo rishta bachata hai. Test budget chhota rahe, timelines imandar rahein, aur jab kuch convert ho to aap woh genius lagen jo waqt par mila, na ke woh agency jis ne barha charh kar wada kiya tha.
Ek imandar caveat
Humein nahi pata ke ye kitni jaldi normalize hoga. Aath mahinon mein $1 billion run rate ka matlab hai ke auction pehle se mature ho raha hai — sab se saste din shayad guzar chuke hain, chahe woh Meta ke mature auctions se abhi bhi saste hon. OpenAI ki IPO ki khabrein aa rahi hain, aur ad inventory ab revenue story mein asli kaam kar raha hai — matlab dabao barhega ke aur placements kholein, aur waqt ke saath Free-and-Go ki had bhi naram ho sakti hai. Scale ke liye achha hai, early-mover discount ke liye bura.
To isay ek asli lekin mehdood mauqa samjhein: clients ko andar le aayein, measurement wire karein, surface ki creative grammar seekhein — aur kaam karne wale channels se paise nikaal kar sirf “pehle hone” ke liye is par mat lagayein. Is channel par woh agencies jeetein gi jinke paas pehli lehar ka data hoga, sab se bara day-one budget walay nahi.
FAQ
ChatGPT par ads actually kin plans par dikhte hain?
Sirf Free aur Go par. Plus, Pro aur Enterprise ad-free rehte hain, isi liye yahan ki audience casual skew karti hai — aur isi surface se high-ticket pipeline ka waada karna teesre mahine mein client khone ka tez tareeqa hai.
Agency is channel par pehle kya beche?
Creative nahi, wiring. Pixel plus Conversions API, ek attribution partner jo client pehle se use karta hai, aur current channels se ek baseline. Har client ko is ki zaroorat hai, pehle din taqreeban kisi ke paas ye theek nahi hoti, aur poore package mein ye sab se aasan “haan” hai.
Ye abhi scale channel hai ya test channel?
Ek test channel, ek maturing auction ke saath. Kareeb aath mahinon mein bana $1 billion run rate ka matlab hai ke sab se saste din shayad guzar chuke hain, chahe auction abhi bhi Meta se sasta ho. Learning-curve arbitrage bechein, scale nahi.
Kin clients ko ChatGPT ads actually fit karte hain?
Wo products jin par log research karte hain, compare karte hain aur sawal poochte hain — home goods, fashion, health supplements, B2B tools. Impulse buys aur coupon-driven offers us surface par fit nahi hote jahan user beech sawal mein hota hai, aur ghalat-fit client ko “abhi nahi” kehna room mein sab se tez credibility-builder hai.