AB180 Releases 'MGS26 Insight Report,' Summarizing AI Marketing Use Cases
TECHWORLD ·
✦ AI Summary
AB180 announced on the 30th that it has released three "MGS26 Insight Report" publications.
The reports compiled presentations and corporate case studies from "Modern Growth Stack 2026 (MGS26)," held last July, and were organized into three themes: "AI + Mobile App Marketing," "AI + CRM," and "AI + Growth."
Musinsa said its AI usage rate rose from the 10% range to more than 70% within 3 months of adoption, and the time needed for data analysis and proposal work for new product planning fell from 2 to 3 days to 15 minutes.
AB180 announced on the 30th that it has released three "MGS26 Insight Report" publications. The reports compile key presentations and corporate case studies from the marketing conference "Modern Growth Stack 2026 (MGS26)," held last July.
The reports take "The Way of Growth, Rewritten by AI (Stack AI, Rewrite Everything)" as their central theme and summarize AI-driven marketing use cases and performance data. They are divided into three topics: "AI + Mobile App Marketing," "AI + CRM," and "AI + Growth."
The title of the first report is "Growth Rules for Mobile App Marketing, Rewritten by AI," and it covers app growth and user acquisition (UA) strategies. This edition includes a case study of Spoonlabs using an AI-produced short drama campaign, and Spoonlabs recorded up to 20 times better results while cutting its marketing optimization cycle from 24 hours to 1 hour.
Actionfit shared a case in which "Pazzi Nyang" generated KRW 10 billion in revenue within 4 months of launch. RevenueCat said it analyzed 32.2% of Android subscription cancellations as involuntary churn caused by payment errors. Jejemimi said it more than doubled its paywall conversion rate by revising onboarding.
The theme of the second report is "The AI Era, Where Speed Becomes Strategy: CRM," and it covers cases involving message automation and agentic workflows. W Concept said it integrated Anthropic's "Claude Code" with Airbridge and Braze's model context protocol (MCP) and built an AI team member named "Jiwon-i." It then announced that it had saved 40 hours of work per month.
Kurly said it cut the time needed to create first-draft product detail pages from 2 to 4 weeks to 2 to 3 hours. Kolon FnC automated a pipeline for setting up 208 regular CRM messages. KFC said it ran personalized experiments across more than 2,000 combinations and improved in-app click-through rates by 40%. Ajeongdang introduced a case in which it built an AI customer service system to reduce customer abandonment while waiting.
The theme of the third report among the three released by AB180 is "AI Growth Strategy: Rewriting Growth Through Learning, Beyond Execution." This report includes data analysis cases and search optimization cases. Amplitude is presented as a self-learning growth engine, and NNT is introduced as an AI search optimization strategy based on more than 200 projects. The AI search optimization categories presented were SEO, AEO, and GEO.
In the collaboration between Musinsa and Amplitude, the companies unified their data collection environment and built an AI context. Musinsa said its AI usage rate rose from the 10% range to more than 70% within 3 months of adoption. It also said the time needed for data analysis and proposal work for new product planning fell from 2 to 3 days to 15 minutes.
In this report, AB180 focused on organizing case studies of AI application in marketing operations and how marketing teams run AI in practice. The three reports are available in the AB180 official website library.
AB180 CEO Nam Seong-pil said the reports include examples of AI applied to organizational operations and marketing workflows. He added that the reports can serve as a reference for working marketers and leaders as they review AI adoption strategies suited to their own environments.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407581
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Source: TECHWORLD
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