Daily Minute Master Series – June 25, 2019
Social Media
Twitter Says its Smyte Acquisition has Helped it Significantly Reduce Crypto-Spam Tweets+
Last June, Twitter announced that it had acquired Smyte, a company founded by former Facebook, Instagram and Google team members which specializes in webspam and fraud detection. The acquisition is part of Twitter’s ongoing efforts to clean up its platform by better detecting bad actors, and removing their profiles and tweets before they have any impact. One of the most positive signs of this initiative is it shows that Twitter is improving its systems, and may be able to use Smyte to better detect various forms of spam and junk on the platform. It may also enable Twitter to address some of its larger concerns with abuse and harassment, which have plagued the app for years. There’s no way of knowing exactly how much of this Smyte might be able to eliminate, but the results reported here certainly show some good signs.
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Marketing
Google Won’t Display Multiple Featured Snippets For One Page
Google’s John Mueller stated only one set of structured data will be used in search results when a page contains multiple types. When multiple types of structured data are included on one page, Google will automatically determine which type of markup is most appropriate for search results. The decision of which rich result to display in search is based on the searcher’s query. So, using both sets of structured data won’t make you eligible to appear in two different featured snippets.
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Google Search Console adds search within markup and copy with tweaking
Google announced two new features for Google Search Console’s testing tools Monday. Within the Google URL testing tools, such as the AMP test, rich results test and URL Inspection tool, you can now search within your markup to find code, and also you can copy the code and tweak it. Google said this makes checking your rendered markup and adjusting it easier. Ultimately this feature should make debugging issues with your markup for structured data issues faster. It should make it easier to locate the issues you may have with your markup, then test the changes you make to see if it will pass validation by Google.
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Shopify launches machine learning powered network for US merchants
Canadian e-commerce platform Shopify launched its brand new Shopify Fulfillment Network for US-based merchants. The new network uses Shopify’s machine learning-driven smart inventory allocation technology to determine the closest and most efficient fulfillment centers for your business. For SMBs being edged out by giants like Amazon, accessibility to an inventory fulfillment network — and the integrated technologies — could play a key role in helping small businesses stay competitive and allow them to grow. According to Shopify, the new system does not require advanced technical skills. Thanks to this, the system can be used by busy digital marketers operating with limited resources to market products and drive e-commerce sales.
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