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Ep. 82: Q1 China ecommerce update with BigOne Lab

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Manage episode 290711594 series 2807664
Innhold levert av SupChina. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av SupChina eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

One of Tech Buzz China’s partners is leading alternative data firm BigOne Lab, who is one of the best sources on detailed operational data for large Chinese tech companies. In Tech Buzz's quarterly update, BigOne's head of research, Robert Wu, joined Rui for a live webinar going over everything interesting among the big China ecommerce players, which are now Alibaba, JD, Meituan, Pinduoduo, Douyin, and Kuaishou.

We begin with the latest in community group buying, the group-buying next-day pickup business model that is sweeping over China. We go over market shares, warehousing efficiencies, and best-selling items and explain what that means in terms of strategy across the big players. We also talk about how much progress the Douyin and Kuaishou platforms have made in ecommerce, but point out their weaknesses vis-a-vis Alibaba, who is still the towering giant in the space. We touch upon what GMV breakdowns look like across the platforms, and finally end up with some interesting observations you might not have expected regarding creator engagement in Douyin and Bilibili.

If you are new to these companies, we highly suggest checking out episodes 28, 55, 57, and 80 on ByteDance, Kuaishou, Bilibili, and community group buying, respectively.

Although we edited the audio to make it easy to follow along, such events in the future are best experienced live, as much of the data is presented visually! To sign up for future events like this, please go to www.techbuzzchina.com.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

84 episoder

Artwork
iconDel
 
Manage episode 290711594 series 2807664
Innhold levert av SupChina. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av SupChina eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

One of Tech Buzz China’s partners is leading alternative data firm BigOne Lab, who is one of the best sources on detailed operational data for large Chinese tech companies. In Tech Buzz's quarterly update, BigOne's head of research, Robert Wu, joined Rui for a live webinar going over everything interesting among the big China ecommerce players, which are now Alibaba, JD, Meituan, Pinduoduo, Douyin, and Kuaishou.

We begin with the latest in community group buying, the group-buying next-day pickup business model that is sweeping over China. We go over market shares, warehousing efficiencies, and best-selling items and explain what that means in terms of strategy across the big players. We also talk about how much progress the Douyin and Kuaishou platforms have made in ecommerce, but point out their weaknesses vis-a-vis Alibaba, who is still the towering giant in the space. We touch upon what GMV breakdowns look like across the platforms, and finally end up with some interesting observations you might not have expected regarding creator engagement in Douyin and Bilibili.

If you are new to these companies, we highly suggest checking out episodes 28, 55, 57, and 80 on ByteDance, Kuaishou, Bilibili, and community group buying, respectively.

Although we edited the audio to make it easy to follow along, such events in the future are best experienced live, as much of the data is presented visually! To sign up for future events like this, please go to www.techbuzzchina.com.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

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