Google Spot, Machine Learning, Search Engines, Google Merchant Center - A Fireside Chat w/ Alan Kent [Part 2]

Driven

English - August 21, 2020 12:00 - 30 minutes - 21.1 MB - ★★★★★ - 1 rating
Management Business ecommerce digital commerce b2b distribution integration pim connector b2c product customization ecommerce analytics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: 20. Why Ecommerce Businesses Need To Leverage The Google Merchant Center [Part 1]

Next Episode: 22. How Inventory Sharing Can Solve The Fear of Selling on Amazon Marketplace (with Mark Tomalonis)

Alan Kent is an eCommerce Developer Advocate at Google. He is been with Google for the past 2 years and his previous roles include VP of Architecture at Magento and VP of Search Engine Engineering at eBay.

This is Part 2 of the episode where I sat down with him for a Q&A. Check out our Part 1 to understand more about what Google Merchant Center is all about.

Show Notes

[1:04] What is your role at Google as an eCommerce developer advocate?[3:19] Google Spot looks like an interesting concept, why was it launched in India? Can you elaborate?[8:07] How machine learning [ML] and natural language processing [NLP] is helping improve the UX in eCommerce?[14:28] Does Google penalize if we do not use the Google Merchant Center?[16:07] Product feed, how does it work?[17:45] Does Google recommends any extensions for the eCommerce platforms?[20:35] Will Google web crawl along with the feed?[24:44] Best practices to optimize the feed and improve the ranking.[27:20] How has eCommerce search has improved over the past 10 years.

Show Links and References

Alan Kent on LinkedIn Merchant Center Driven: Ecommerce at Work Home