1) Let's talk about how Alibaba has achieved the holy grail of big data - a holistic view of the consumer - through a plethora of product offerings and investment.

This is their overarching moat. And Amazon's got nothing on them.
2) To the outsider, Alibaba's product range is confusing af. It's all over the place and there seems to be no core competency they are focusing on.

A few divisions - Taobao (B2C marketplace), Tmall (High-end B2C marketplace), Alibaba (B2B marketplace, Cainiu(logistics)..
3) ...Elema (Food delivery), Autonavi (maps), Youku (streaming) and Feizhu(travel booking)

Also the promotional strategy is weird, In the lead-up to singles day, half the time they were promoting some cat rearing in-app mini game.

Wtf?
4) When we view Alibaba's strategy as working to create a full view of a consumer's life, including their preferences, social network and spending capacity (and ability). Then everything starts to make sense.
4) Whether a consumer buys on Tmall or Taobao tells Ali about their preferences and budget, delivery address for packages and food lets Ali know where they live and where they work (also cross-referenced with property data to infer wealth level + occupation).
5) Maps and travel lets them know where the consumer frequents, how they travel (whether they have a car or take the subway), whether they buy discounted economy tickets to Hefei or first class seat to Bali.

The meta-data from all of this is staggering, but they aren't done yet
6) The last step is to know your social circle. Which they can infer from who you live with (via same delivery address), but cut off the WeChat social maps (see my Meituan thread about Ali versus Tencent beef), they need to figure out something better.

Enter the mini-games.
7) By playing the mini-games, players can unlock coupons for Singles day. But the biggest savings are when you invite your friends to play with you, all cats co-ordinating as a single team.

There was never a quicker way to find out who loves you enough to be cats with you
8) So no they know your preferences and social network, are we done? Of course not.

Enter two more important players in game - Ant and Weibo.

Former subsidary Ant offering payment, credit, insurance and asset management, but the payment data is the real gold.
9) One the payment data is augmented with Alibaba's (Ant has a data-sharing agreement with Alibaba for 50 years), Alibaba can see example the flow of transactions for a consumer's every day life, from salary to utilities payment.
10) This allows Alibaba and Ant to suggest relevant products to users that traditional algorithms would overlook. Take a university student, typically not the customer for credit loans since they are living on a budget.
11) But this particular one has made a series of high ticket purchases in Tmall, book frequent plane tickets to exotic locations and spends very little time comparing when making purchases.
12) Their payment linked to a family credit card and looking closr you can see substantial asset management products brought by the mum. This is some rich kid of instagram right here.

Ideal customer to offer high price items and credit products to.
13) Weibo (Chinese Twitter), who Alibaba holds 18% stake in, also shares data with Alibaba. This is galaxy brain level of data. Now Alibaba not only has historical traction but also future intent for the consumer. They now know what's hot and trending and then push relevant items
14) All in all, this makes Alibaba's recommendation engine for all products incredible powerful and on point. To a level that I find Amazon would struggle to compete with.

Or maybe I'm only saying that since I've developed a major Taobao habit.
15) It's interesting what the regulation on Ant will do. I'm very curious about the incoming data privacy regulations and how that will impact Alibaba's data moat. If you're interested on Ant, here's something I wrote a while back with @mariodgabriele lillianli.substack.com/p/the-ant-grou…
I'll be doing threads like this for the rest of Jan, follow me to get these spams on your TL.

Let me know what you think!

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More from @lillianmli

4 Jan
1) Let's talk about Pinduoduo and the backlash of China's 996 work culture today.

An employee's death (apparently due to overwork) and PDD's apparent flippant response has riled up the Chinese internet. Who are all asking the question: Is money the be all and end all to life?
2) 996 culture is a sad fact of Chinese tech firms and means that a employee works from 9am to 9pm for 6 days a week. Some have even semi-joked their working hours are 007.

This is pretty true to life. On most weekends you can find engineers grinding away in the offices
3) Since Wechat rather than email is the default mode of communication, workers are always all. As Andrew Ng once said, if he sent his chinese colleagues a work text at 7pm and didn't get a response by 8pm, he's start thinking there was something wrong.
Read 19 tweets
3 Jan
1) Let's talk about a key part of the Chinese creator economy. The creator management and incubator agencies known as Multi-Channel Networks (MCN). We''ll summerise key lessons for the western creator economy.

And know how Li Ziqi got her 12m YouTube subscribers
2) MCNs are modern-day talent agencies (but more) who target influencers and creators as their clients. It originated in the US but has proliferated in China, with industry estimates of 5k-7k Chinese MCN operating as of 2020.
3) Typically, as creators gain enough following, they find it difficult to be an-all-in-one content creator, editor, customer support rep, accountant, lawyer, and marketing guru that the job demands.

Enter the MCNs who offers the creator the following:
Read 19 tweets
2 Jan
1) Let's talk about Meituan and its founder Wang Xing. The poster child of the Copy-to-China model. They beat out 5000+ other companies to win the group buying wars and catapulted Neil Shen of Sequoia China to the front of the Midas list.

Also pissed off Jack Ma on the way
2) Our story starts in 2004 when Wang Xing dropped out of his PhD program in University of Delaware to come back to China. Wang was the embodiment of Softbank's Time Machine theory, creating one US clone after the other
3) First it was Duoduoyou (Friendster) which died a quick death, then Xiaonei (Facebook) which fared better. The story goes that when Wang and his co-founders went to pitch Sequoia on this, they lost their prepared business plan in the taxi over.
Read 18 tweets
1 Jan
1) A highly popular 2020 chinese meme highlights anti-capitalist sentiment among Chinese white-collar workers (And enables support for anti-monopolist tech policies).

Let's talk about 打工人 aka "Labourers"
2) It all starts with a viral video in Oct on Bili Bili (read my article if you don't know what Bili bili is).

Two cartoon characters have an exchange where one bemoans the pointlessness of working hard, only for the other to rebuff his complaints with absurd zingers such as:
3) "Is it tiring to work so hard? Of course it should be tiring! Comfort is only for the rich. Go labourers!"

"Yes, working can't earn that much money but if you work a few more jobs you wouldn't have any time left to spend that money"

"Work doesn't need me, but I need work"
Read 12 tweets
2 Dec 20
1) My take on the big driver for Salesforce + Slack acquisition deal is that:

Salesforce appreciates that people are loyal to their workflow interface.

🧵
2) This is a very under appreciated aspect of software.

Why can’t business analyst let go of excel?

Why do VP of sales by Salesforce over and over again?
3) Plenty of reasons but underneath is the fact that they know how to use the software since they were trained on the software. The switching cost to other systems once you’re comfortable and confident in one is really high.
Read 6 tweets
1 Dec 20
Growth hacking tactics used by Chinese consumer tech companies.

A thread with pics
The foundation philosophy for growth hacking is the AARRR model or Acquisition, Activation, Retention, Revenue and Referral.

Each stage matches a lot of features in Chinese consumer apps.
Acquisition: how to get the user. Usually triggered by friend’s referral, in-life QR code or promotional events.

Examples: food suggestion on Meituan Dianping, QR code on Luckin coffee for their app and ImageImage
Read 10 tweets

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