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Shopify keeps destroying price targets and expectations - this data shows why

2 weeks ago by Jon Marino in Earnings

Shopify ($NYSE:SHOP) is on a roll, closing in on 200% gains on public markets over the last 12 months. 

February 12, when the Canadian e-commerce company reported earnings, it would be more of the same. Shares soared at the open Tuesday and Shopify gained 12%, after reporting better-than-expected earnings. 

Our first chart tracks Shopify's package tracking app, Arrive, and its Apple ($NASDAQ:AAPL) Store Ratings Count, and Shopify's stock price over the same timeframe. Anything stand out here? To accompany those massive gains, and particularly since November 1, Shopify's Arrive App saw nearly 450% more ratings submitted via the Apple store. Also, the Arrive app is raking in a very healthy rating in the Apple Store of more than 4.5-out-of-5.

Further, the company announced higher guidance than analysts were expecting, a signal of continuing growth.

Digital engagement is a new critical metric when determining public companies' prospects, particularly those that are less dependent on foot traffic and more dependent on apps. For the most part, Shopify's job posting data is relatively flat year-over-year. 

But, a look further into job postings reveals a handful of interesting trends. At Shopify, the company is hiring more staffers in U/X leadership, engineering and product management - but fewer for customer support.

And, finally, a great metric tracking social engagement - Shopify's following on Instagram. For an e-commerce software company, tacking on followers at a pace of 21.5% since early August is certainly a positive sign. It's likely a signal that Shopify is continuing to draw more users onto its platform - which should be a great signal for analysts and investors. 

About the Data:

Thinknum tracks companies using the information they post online - jobs, social and web traffic, product sales and app ratings - and creates data sets that measure factors like hiring, revenue and foot traffic. Data sets may not be fully comprehensive (they only account for what is available on the web), but they can be used to gauge performance factors like staffing and sales. 

Further Reading: 

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Jon Marino

Jon Marino is Thinknum's finance editor, covering the impacts of alternative data on public companies and investors. Prior to joining Thinknum, Jon worked in the ...

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