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Your ‘brand story’ doesn’t matter if no one else can tell it back to you

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Every brand loves its own story. Stirring vision statements. Emotional launch videos. Slides polished to perfection. But here’s the brutal truth: if no one outside your leadership team can repeat that story in their own words, it’s worthless. Case in point: We once worked with a fast-growing tech firm. Their “brand story” filled forty slides and a glossy manifesto. The problem? When we asked ten employees, “What does your company actually do?” we got ten different answers. Some talked features. Others talked values. A few mumbled jargon so dense even the CEO wouldn’t understand it. If your own people can’t tell your story back to you, what chance does the market have? We stripped that bloated manifesto back to one line: a simple, human explanation of the problem they solved and why it mattered. Suddenly: Employees were saying it consistently. Investors started quoting it back to leadership. Customers shared it with peers -- unprompted. That’s when the story stoppe...

AI in Crisis Communications: Lessons from APAC Brands

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When crisis hits in Asia-Pacific, speed and nuance decide whether a brand sinks or swims. Social media storms in Jakarta. Regulatory crackdowns in Singapore. Consumer backlash in Bangkok. It’s a volatile region where reputations are built -- or shredded -- in hours, not weeks. And now AI is in the mix. Tools that can scan sentiment in real time, predict reputational flashpoints, or even draft holding statements are reshaping how brands respond. But here’s the kicker: AI doesn’t replace crisis communications. It simply raises the stakes. Brands that misuse it risk amplifying the very chaos they’re trying to contain. So, what lessons can we take from APAC brands already navigating this AI-crisis intersection? Lesson 1: Speed Is Useless Without Context AI excels at velocity. It can monitor thousands of conversations across Twitter/X, TikTok, WeChat, WhatsApp and niche local platforms like Line or Koo. But speed without cultural context is dangerous. Take an example from a consumer e...

Navigating Data Privacy and AI Ethics in APAC PR: A Guide for Brands

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Artificial intelligence has been called the future of communications. But in Asia-Pacific, the future comes with fine print. While brands are racing to embed AI into PR and marketing, the real risk isn’t the tech itself -- it’s the rules around it . Ignore Asia’s evolving privacy laws and ethical expectations, and your next PR win could quickly turn into your next PR mess. This isn’t theory. It’s happening now. And for brands operating across multiple APAC markets, the patchwork of regulations and cultural expectations can make the difference between building trust and burning it. The Patchwork Problem: Why One-Size-Fits-All Doesn’t Work Unlike Europe’s GDPR, APAC is far from harmonised. Singapore has the Personal Data Protection Act (PDPA) with strict consent requirements. Thailand’s PDPA only recently came into force, leaving brands scrambling. Malaysia is in the middle of overhauling its law, while China has the Personal Information Protection Law (PIPL), which is  arguabl...

The Evolving Role of Influencer Marketing in Southeast Asia: Beyond the Mega-Influencer

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For years, the influencer playbook in Southeast Asia was simple: hire the biggest name you could afford, sit back, and watch the likes roll in. But the rules have changed. Today, audiences are savvier, regulators are catching up, and the real influence is shifting from the red-carpet “mega” stars to the smaller, hungrier, more authentic voices shaping communities online. If you’re still chasing follower counts as your north star, you’re not just behind the curve; you’re burning budget. The Shift: From Mega to Micro (and Nano) In markets like Indonesia, the Philippines, and Malaysia, consumers are starting to tune out big-ticket endorsements. Why? Because they smell scripted, staged, and bought. Enter micro- and nano-influencers: creators with 1,000 to 50,000 followers, often laser-focused on niche communities e.g., parenting groups, gaming circles, sustainable living advocates, you name it. They may not have the lure or gloss of a celebrity, but their engagement rates are often higher...

Why AI Product-Market Fit Differs from SaaS -- and How to Succeed

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In tech, product-market fit (PMF) has always been the holy grail. For SaaS, hitting PMF often feels like crossing the finish line. You’ve nailed retention, customers are sticky, and growth follows. AI? Not so simple. Here, PMF isn’t a milestone. It’s a treadmill that only speeds up. Models evolve weekly, expectations shift daily, and hype fades fast if products don’t deliver trust and real-world value. This matters even more in Southeast Asia’s AI market , which is second only to North America in generative AI adoption. Indonesia and Vietnam are leading the charge, with 42% of ecommerce sellers already using AI. Governments are rolling out AI strategies, and by 2027, AI could pump $120 billion into regional GDP. Big numbers. But here’s the catch: without sustained value, AI ventures burn out fast. SaaS Product-Market Fit vs. AI Product-Market Fit SaaS has always had a playbook: build an MVP, launch, iterate, and once you’ve got PMF, you’re pretty much set. Retention is the golden ...