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Hello reader,
Today’s article looks at how Grab has used AI to improve its marketing communications and discusses best practices for other companies looking to do something similar.
Since we’re talking about AI, I asked Gemini to “write a short paragraph to convince people to read this article.” Here’s the result:
Struggling to deliver the personalized marketing experiences customers crave without overwhelming your team? This article reveals how generative AI can bridge that gap, offering a practical look at how companies like Grab are using tools like LLMs and RAG to create tailored messages at scale.
Discover actionable strategies, learn from Grab’s real-world results (including significant boosts in engagement!), and understand how businesses of any size can start leveraging AI to enhance customer connections and improve marketing efficiency – all while keeping human oversight central.
Not bad. Let me know what you think – and of course, do check out the article as well. ✌️
Today we look at:
- How Grab leveraged AI to up its marketing game (and how you can do so too)
- A travel-focused fintech startup that’s raised fresh funds
- Other newsy highlights such as Trump’s new tariffs hitting China and YouTube’s partnership with Shopee in Singapore
Premium summary
How to AI
Image credit: Timmy Loen
How can you effectively use AI for marketing? Here’s how Grab did it.
- The problem: Grab sends a variety of messages to users to keep them engaged. Personalizing these messages is crucial, but doing so manually is difficult and time-consuming, leading to generic messaging or brand inconsistency.
- The solution: The company uses AI to connect better with users, and it’s seen good results. Copy generated by Mystique, Grab’s in-house copywriting tool, sees 25% higher open rates and 50% higher click-through rates than those created with standard templates.
- The considerations: Some tips for businesses looking to implement AI into their own marketing strategies include starting with a single use case, building a feedback loop, and keeping cultural nuances and differences in mind.
Read more: The practical lessons in Grab’s AI marketing playbook
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