| by Charlie Sheng | No comments

Characterizing the “Whales”: Mining In-App Purchase E-Receipts Data

“Whales” are usually referred to as a small group of people who contribute a large percentage of revenues in successful games. These users’ purchasing behavior can be very different from regular users. Previous studies showed that 1% of the users are responsible for over 59% of the revenues on iPhone’s marketplace in the US. In […]

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| by Charlie Sheng | No comments

Case Study: Predicting Sales with E-receipts Data – Children’s Place

One of the most common use cases of our e-receipts data is to serve as a proxy of companies’ revenues and sales. When we have access to a consistent email receipts data panel, as the one Measurable AI offers, we are able to generate predictions after the end of each quarter based on historical data, […]

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| by Jocelyn Yang | 2 comments

Ride or Die: Gojek versus Grab in Indonesia

Since the outbreak of COVID-19, the frequency of going out has been greatly reduced, resulting in plummeting sales of ride-hailing companies. Based on Measurable AI’s e-receipts data, we take a closer look into the competition between two ride-hailing giants from South East Asia: Gojek and Grab, in one of their biggest markets Indonesia.    Sharp Decline […]

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| by Jocelyn Yang | No comments

Food Delivery: Who owns the most loyal users?

As consumer adoption of food delivery increases, the competition among food delivery companies on wallet share and loyalty continues.  If a restaurant is available on all delivery apps, users get to choose which app to order from. To lure more users to their own platforms, food delivery companies need to adjust their pricing strategies, optimize […]

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| by Jocelyn Yang | 1 comment

The Roller Coaster Goes On: Food-Delivery Companies in Asia (II)

In a former report, we used Measurable AI’s unique e-receipts data to look at the food delivery industry in APAC in the early months of covid-19, and saw a huge surge in food delivery volume. After six months, the pandemic is still not over, and so is the competition among the food delivery companies.  Based […]

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| by Charlie Sheng | No comments

[Blog] Quantitative researcher Dr.Damien Passemier joins Measurable AI as Chief Data Scientist!

After obtaining his PhD in Statistics in France, Damien got a 2 years postdoctoral position at the Hong Kong University of Science and Technology. During his research years, he published several papers on the topic of the Random Matrix theory. After that, he worked as a Data Scientist in several companies, including a horse racing […]

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| by Charlie Sheng | No comments

Malaysia: Tracking Online Consumer Spending amid Covid-19

While the new waves of coronavirus continue to hit the world, consumers have gradually become used to the new norm of working from home and shopping online. The panic buying peak during the first breakouts may have been normalized, but in every aspect of life, the shopping behavior patterns are still changing.  Transaction value in […]

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| by Charlie Sheng | No comments

Case Study: MomoShop’s Leading Indicator

Measurable AI‘s aggregated monthly order amount based on its e-receipts data turns out to be a leading indicator for revenue movements of Momoshop, a top E-commerce website from Taiwan (TWO: 8454). Compared with the monthly revenue number published on MomoShop’s own IR page, Measurable AI’s aggregated number for monthly order has been a great proxy […]

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| by Charlie Sheng | 4 comments

The Roller Coaster of Food-Delivery Companies in Asia (I)

Even before the pandemic, the food-delivery industry in Asia was growing insanely fast with big players trying to take over new markets every month. After the outbreak, these companies finally prove that food-delivery is a necessity in life. However, the food delivery war is still going on, and moving even faster than it was. Based […]

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| by Charlie Sheng | 1 comment

Hong Kong is finally transforming online to avoid Covid-19

Last month, Hong Kong Television Network (HKEX: 1137), the city’s very own e-commerce platform sets records in monthly turnover. The name although sounds strange to others is actually a rising business in Hong Kong. The company’s original plan was to start a television network but failed to get a legitimate license under Hong Kong’s complicated […]

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