Sharon Gai

speaker

242 appearances 2 recordings 1 series first heard Aug 2025 last heard 24 Jun

Sharon Gai’s voice in public audio — every appearance, attributed to the second.

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Coffee with the Council By PCI Security Standards Council · Coffee with the Council Podcast: Meet This Year’s Asia-Pacific Community Meeting Keynote Speaker, Sharon Gai · 20 Aug 2025 podcast

And it's one that I have come to get to know myself and get better and better at.

But I think that's still a challenge that I have in trying to navigate all the different pieces of data and information that's amongst us and to sift through all of that noise and to pinpoint myself to a place in the future where the future becomes less and less uncertain.

So to backtrack a bit to introduce you to sort of the world of e-commerce in China and Alibaba as a whole is it is a very data driven company.

So because of the number of users, first of all, there's about a billion or so internet users in China.

All of them have their own micro behaviors and the way that they interact with apps.

But each of those little micro behaviors, so the amount of even microseconds you're staying on a product detail page, or the number of swipes you're swiping on a page, as all product detail pages have about nine images,

At which point of looking at one of those images, did you actually add that product to cart or did it actually make you buy the product?

All of those micro behaviors make up the fuller picture of what that customer likes and doesn't like and what makes them buy or not buy something.

And so the power with a company like Alibaba and Chinese e-commerce at large is it's very good at knowing their customers very well.

And so previously in my roles, I would work with teams like TMIC, which is a Tmall Innovation Center, an internal team where we would match together, where we would match

the data that we had internally with a brand and look at what new products should this brand be making so that it would sell more product.

Because oftentimes in R&D departments, they're sort of looking at general market research or they're downloading information from a Gartner to look at

where this larger industry is going or where things are trending.

And then they would go and make that product.

So for instance, in an example with Coca-Cola, for instance, what new flavor of lemonade could we come out with next?

So the more traditional route is to go through these different layers of either data providers or market research focus groups to gather all of that data for your R&D teams to assemble this and to create a product and then to put online to sell.

In a newer way of product creation is you go directly to this e-commerce platform or you'd go directly to the selling point, the platform where you'll actually sell this product and get them to tell you

What are your people buying?

What are your users clicking on and interested in and searching for?

And then telling that data to your R&D team.

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