{"share_code":"WL2WqK2aVaxp","report_type":"simulation","title":"SEA AI-localised promo copy — why 2026-10-05","resource_id":"jzhKmfgiTeVl4h2OdFW6","generated_at":"2026-10-04T23:52:17.693Z","content":{"meta":{"survey_name":"SEA AI-localised promo copy — why 2026-10-05","label":"SEA AI-localised promo copy why-survey 2026-10-05","population_query":"Adults in Southeast Asia or Asia-Pacific who shop on e-commerce, food-delivery or ride-hailing apps at least monthly, read promotional push notifications, in-app banners or emails from shopping apps, and receive promo messages in a local language (such as Malay, Bahasa Indonesia, Thai, Vietnamese, Filipino or Chinese) or a mix of English and a local language.","respondent_count":357,"desired_respondent_count":357,"status":"completed","generated_at":"2026-10-04T23:52:17.693Z"},"insights":{"survey_goal":"SEA AI-localised promo copy — why 2026-10-05","goal_summary":"Shoppers across Southeast Asia demand culturally authentic, accurate promotional copy; over two-thirds (67.5% for next sale, 68.1% for default) insist on AI localisation combined with native-speaker verification, rejecting fully autonomous unchecked AI. Deploying unchecked AI copy risks severe churn: 77.6% cite culturally tone-deaf copy as their top reason to mute notifications, 69.7% lose trust when seeing garbled text, and 55.7% would switch shopping to a competitor with verified promos.","key_findings":[{"evidence_question_ids":["q04","q10","q12"],"confidence":"high","follow_up_suggestion":{"follow_up_brief":"Evaluate operational turnaround SLAs for same-day native-speaker review pipelines vs. campaign launch speed across major SEA regional languages.","population_query":null,"label":"Validate Native Review SLA","rationale":"Understand whether a 2-hour or 4-hour human review turnaround meets marketing urgency while preserving required linguistic quality.","confidence_level":0.95,"margin_of_error":0.04,"complexity":"simple","sampling_strategy":"subsample","focus_areas":["operational","prioritization"]},"finding":"Shoppers overwhelmingly prefer a hybrid 'AI-localised + native-speaker check' workflow (67.5% next sale, 68.1% 6-month default), while 99.2% insist on pre-send human or community validation."},{"evidence_question_ids":["q06","q07","q08","q13"],"confidence":"high","follow_up_suggestion":{"follow_up_brief":"Examine specific cultural and religious faux pas in promotional phrasing that trigger immediate app uninstalls or social media backlash across SEA markets.","population_query":null,"label":"Deep-Dive Cultural Risk Thresholds","rationale":"Identify the exact cultural sensitivity tripwires that convert mild copy annoyance into competitor defection.","confidence_level":0.92,"margin_of_error":0.05,"complexity":"complex","sampling_strategy":"subsample","focus_areas":["trust_risk","contrarian"]},"finding":"Unchecked AI generation triggers severe business churn: cultural blunders are the #1 mistrusted error (77.6%), 69.7% report low trust (scores 1-2) from garbled text, and 55.7% will switch to a competitor."},{"evidence_question_ids":["q05","q09"],"finding":"Casual slang and emoji rewrites polarise users: 63.6% cite brand slang as try-hard/unprofessional, and 45.9% are less likely to tap slang-heavy copy compared to standard natural language.","follow_up_suggestion":{"follow_up_brief":"A/B test brand tone acceptance: when do code-mixed colloquialisms drive lift versus alienate mainstream shoppers?","population_query":null,"label":"Test Brand Tone & Slang Fit","rationale":"Define the category and brand persona boundaries where code-mixed/slang copy enhances engagement rather than damages trust.","confidence_level":0.9,"margin_of_error":0.05,"complexity":"simple","sampling_strategy":"subsample","focus_areas":["messaging","creative"]},"confidence":"high"},{"evidence_question_ids":["q11"],"confidence":"high","finding":"AI disclosure is contingent on quality: 48.7% require AI labelling only if no human checked it, while 16.2% find disclosure unnecessary once human-reviewed (31.4% demand unconditional labelling)."}],"segment_insights":[{"segment":"Local-Language Primary Shoppers","insight":"Heavily dependent on verified local copy; 78.7% demand AI + native review (highest across groups) and only 3.7% accept slang rewrites. Fully autonomous AI is rejected (only 12.8% accept it).","size_pct":45.9},{"segment":"Bilingual Code-Mixed Shoppers","insight":"Most receptive to colloquial experimentation; 21.8% favour AI slang/code-mixed promos and 61.4% prefer AI + native checks, displaying greater flexibility for casual brand communication.","size_pct":28.3},{"segment":"English-Only Promo Recipients","insight":"Retain significant attachment to English copy (17.6% prefer English-only default), yet 54.9% still favour verified local translation when offered, prioritising accuracy over local slang.","size_pct":25.5},{"segment":"High-Frequency App Shoppers (Weekly / Few times a month)","insight":"Account for 81.8% of the user base; 53.8% will switch to a competitor and 29.1% will decrease app activity upon encountering persistent unchecked AI errors, representing immense GMV risk.","size_pct":81.8}],"recommendations":[{"recommendation":"Institutionalise a mandatory 'Human-in-the-Loop' (HITL) gate for all AI-localised promotional campaigns, ensuring native speakers verify tone, cultural nuances, pricing, and deadlines before dispatch.","priority":"high"},{"recommendation":"Implement cultural nuance and sensitivity safety filters in the LLM prompting and evaluation layer to eliminate culturally inappropriate phrasing, which drives 77.6% of notification churn.","priority":"high"},{"recommendation":"Default to polished, natural standard local language rather than aggressive slang or heavy emoji code-mixing, reserving colloquial phrasing only for specific youth-oriented sub-brands where brand fit is verified.","priority":"medium"},{"recommendation":"Establish transparent labelling protocols: clearly flag autonomous AI-generated messages if unreviewed, but reserve prominent disclosure real estate when native-speaker QA is maintained.","priority":"medium"}],"limitations":["Demographic fields (age, gender, location) were blank in the dataset, precluding micro-segmentation by specific SEA country (e.g., Indonesia vs. Thailand vs. Vietnam) or age demographic brackets.","Responses reflect stated behavioural intent regarding competitor switching, which should be calibrated against observed transaction retention metrics."]},"charts":[{"title":"Shopper Preference for AI Promo Localisation (Next Sale)","caption":"Over two-thirds of shoppers demand AI localisation paired with native speaker validation, rejecting fully autonomous AI or delayed manual copywriting.","chart_type":"bar","labels":["AI + Native Check","AI Slang + Native Check","AI Unchecked (Agent Confidence)","English Only","Human Copywriter Only"],"series":[{"name":"Preference %","values":[67.5,13.2,9.5,7.8,2]}]},{"title":"Most Damaging AI Localisation Errors in Promo Copy","caption":"Cultural insensitivity and inappropriate nuances far outweigh factual or typographical errors as the primary cause for turning off notifications.","chart_type":"horizontal_bar","labels":["Culturally off / inappropriate","Garbled / misspelled words","Wrong price or discount","Too much slang / emoji","Wrong end date / time"],"series":[{"name":"% Selecting as Worst Mistake","values":[77.6,11.5,9.8,0.8,0.3]}]},{"title":"Shopper Reaction to Continuous Unchecked AI Promo Errors","caption":"Persistent errors in unchecked AI promos pose acute churn risk: 55.7% would defect to a competitor whose promos are checked, and 30.5% would decrease app usage.","chart_type":"bar","labels":["Switch to competitor","Use app less","Keep using but ignore promos"],"series":[{"name":"Action %","values":[55.7,30.5,13.7]}]},{"title":"Required Verification Protocol Before AI Promos Send","caption":"Virtually all shoppers insist on human pre-screening, with a 54.9% majority wanting pre-testing with real/simulated shoppers before delivery.","chart_type":"pie","labels":["Native check + shopper pre-test","Native check before sending","English only","No check needed"],"series":[{"name":"Verification Requirement %","values":[54.9,44.3,0.6,0.3]}]},{"title":"Promo Strategy Preference by Current Language Exposure","caption":"Shoppers currently receiving local-language promos overwhelmingly demand native-checked AI (78.7%), while bilingual and English cohorts show greater openness to slang or English copy.","chart_type":"grouped_bar","labels":["Mostly Local Language","Mix of Local & English","English Only"],"series":[{"name":"AI + Native Check","values":[78.7,61.4,54.9]},{"name":"AI Slang + Native Check","values":[3.7,21.8,19.8]},{"name":"Unchecked AI","values":[12.8,9.9,3.3]},{"name":"English Only","values":[3,6.9,17.6]}]}],"qualitative_questions":[{"question_id":"q01","text":"How often do you shop or order on e-commerce, food-delivery or ride-hailing apps?","type":"multiple_choice","response_count":357,"distribution":{"A few times a month":127,"About once a month":13,"Rarely or never":35,"At least weekly":165,"Less than once a month":17}},{"question_id":"q02","text":"Do you read promotional push notifications, in-app banners or emails from shopping apps?","type":"multiple_choice","response_count":357,"distribution":{"Yes — I usually read them":71,"Sometimes — when the offer looks relevant":251,"Never":3,"Not sure":6,"Rarely":26}},{"question_id":"q03","text":"In which language do you usually receive promo messages from shopping apps?","type":"multiple_choice","response_count":357,"distribution":{"Not sure":1,"English only":91,"A mix of English and my local language":101,"Mostly my local language (e.g. Malay, Bahasa Indonesia, Thai, Vietnamese, Filipino, Chinese)":164}},{"question_id":"q04","text":"Your shopping app's AI marketing agent recommends localising the 11.11 sale push notification and banner into your language. Which version do you want to receive for the NEXT sale?","type":"multiple_choice","response_count":357,"distribution":{"AI-localised + native-speaker check (my language, a native speaker checks wording, price and end time; same day)":241,"English-only promo (clear and correct, but not in my everyday language)":28,"AI-localised, shipped on agent confidence (my language, instant, no human read; occasional odd or garbled word)":34,"Human local copywriter, no AI (polished, but sent 1-2 days after the sale starts)":7,"AI slang / code-mixed rewrite + native check (casual slang, emojis, playful hook; native speaker checks it)":47}},{"question_id":"q05","text":"What matters most in that choice? (select all that apply)","type":"multiple_select","response_count":357,"distribution":{"Casual slang and emojis make promos more fun":143,"The price, discount and end time must be exactly right":188,"Odd or garbled wording makes me doubt the offer is real":224,"Getting the promo on time matters more than perfect wording":180,"English is fine for promos":189,"I prefer human-written promos even if they arrive later":142,"It should read naturally in my own language":226,"I don't care who or what wrote it, as long as it is correct":195,"Slang and emojis from a brand feel try-hard or unprofessional":227}},{"question_id":"q06","text":"If a promo from your shopping app had garbled or clearly wrong words in your local language, how much would you trust that the offer is real?","type":"rate","response_count":357,"distribution":{"1":103,"2":146,"3":41,"4":48,"5":19}},{"question_id":"q07","text":"Which mistake in an AI-localised promo would most make you ignore it or turn off notifications?","type":"multiple_choice","response_count":357,"distribution":{"Wrong end date or time":1,"Culturally off or inappropriate reference":277,"Too much slang or emoji":3,"Wrong price or discount amount":35,"Garbled or misspelled words":41}},{"question_id":"q08","text":"After receiving a promo with garbled AI-written local-language text, what would you most likely do?","type":"multiple_choice","response_count":357,"distribution":{"Complain or post about it publicly":1,"Nothing changes for me":1,"Turn off promo notifications or unsubscribe":9,"Distrust that app's promos for a while":88,"Check the offer inside the app before trusting it":213,"Ignore just that message":45}},{"question_id":"q09","text":"Compared with natural, standard local-language promo copy, a casual slang / code-mixed version with emojis makes me…","type":"multiple_choice","response_count":357,"distribution":{"More likely to tap":78,"About the same":26,"Depends on the brand":89,"Less likely to tap":164}},{"question_id":"q10","text":"Before an app sends AI-written local-language promos, which check should be required?","type":"multiple_choice","response_count":357,"distribution":{"A native speaker reads it before sending":158,"Keep promos in English only":2,"A native speaker reads it AND it is tested with a small group of real or simulated shoppers first":196,"No check needed — send what the AI writes":1}},{"question_id":"q11","text":"Should AI-localised promo messages be labelled as AI-written?","type":"multiple_choice","response_count":357,"distribution":{"I don't care":13,"Only if no human checked it":174,"Yes — always":112,"No — not needed if a human checked it":58}},{"question_id":"q12","text":"Over the next 6 months, which approach should your shopping app use by DEFAULT for all promo messages?","type":"multiple_choice","response_count":357,"distribution":{"AI-localised + native-speaker check (my language, a native speaker checks wording, price and end time; same day)":243,"English-only promo (clear and correct, but not in my everyday language)":36,"AI-localised, shipped on agent confidence (my language, instant, no human read; occasional odd or garbled word)":23,"Human local copywriter, no AI (polished, but sent 1-2 days after the sale starts)":15,"AI slang / code-mixed rewrite + native check (casual slang, emojis, playful hook; native speaker checks it)":40}},{"question_id":"q13","text":"If your app kept sending unchecked AI-localised promos with errors while a competitor's promos were checked, what would you do?","type":"multiple_choice","response_count":357,"distribution":{"Keep using it but ignore its promos":49,"Use the app less":109,"Switch most of my shopping to the competitor":199}}]}}