Hi Ratheejit, Happy to know that you found the post very lucid. I hope the following points help you with your queries: 1. In-app purchases would refer to revenue that flows through the app stores. It would not include other revenue generators like the official website, for example. 2. The data pertaining to Southeast Asia does not include India, primarily because the regional trends vary. Coming to your other point, we did analyse region specific trends for video app downloads and spending, but it did reveal much other than what the broad data already says, which is why we did not include it in our data visualisation.

Prajakta Patil

Thanks Ekta, but it will be unfair to take all the credit for it. All the infographics you see are a product of extensive research made by Seema with a few contributions from me. I merely helped in executing the ambitious data visualisation ideas.

Prajakta Patil

Thank you for your inputs Kardam. You make a valid point when you say that we should standardise our units. Ideally we prefer mentioning numbers upto two decimal places. In this case, the original values for the top three companies were mentioned in trillion and post conversion, we did not have exact values for the first two decimal places. Hence only those three differ in the format.

Prajakta Patil

Hi Kiran, the dataset used for the study is composed of a little over 135,000 hotels to which our data partner Rategain has access. But the number varies from country to country. Hence, we've mentioned only the scale and not the actual values. The idea is to show growth over a period of time for the same number of hotels in each country.

Prajakta Patil

Thanks Aritra, these are some really interesting points you've made.

Prajakta Patil

Hi Devadas, the story presents an overview of the impact that lockdown has had on e-commerce companies and is not a one to one comparison between the players. With respect to price hikes, the numbers presented in the story are averages based on data collected by Dataweave on over 25,000 products in 30 cities across India, and at an individual level the prices for some products could be much higher.

Prajakta Patil

Hi Ankit, while comparing data for two separate periods would be interesting, the idea of the story is to quantitatively understand the impact of lockdown on e-commerce companies, which is why a much larger timeframe was chosen.

Prajakta Patil

Hi Kardam, yes stock availability and price hikes have seen fluctuations geographically in some categories but nothing to establish a trend yet.

Prajakta Patil

Hi Soumalya, I agree that the pure play e-grocers have an advantage over other e-commerce players, but this did not translate into revenue because they were logistically unprepared to cater to a high surge in demand. We've done a detailed story on this, here's the link: https://the-ken.com/story/covid-19-spurs-indian-e-commerce-to-raise-stakes-in-grocery-gamble/. About your question on price increase, I think the data provides limited evidence to suggest either causation or correlation, especially in these exceptional times.

Prajakta Patil

Happy to hear your appreciation. Yes, the data is based on listings. I agree, that only availability cannot be an indicator of consumption. The factors that we have considered are whether the prices rose and whether availability rose or fell in two periods of lockdown to give us a slight hint of what companies chose to replenish and raise prices for. Perhaps an indication of what they think consumers are buying. Comparing two periods within the lockdown may have presented an interesting picture, but a little unfair given the initial problems the industry faced. That is why we chose a larger timeframe.

Prajakta Patil

Happy to hear you that you find our charts useful. We are working on several ideas to take our visualisations to the next level. Perhaps, gifs would be one of them. Stay tuned.

Prajakta Patil

We use Adobe illustrator to create most of these charts.

Prajakta Patil