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eCommerce & Retail: There’s No Excuse to Ignore Performance

Rigor

Whether it be time, money, or technical know how, every day we talk to eCommerce and Retail teams who explain why they aren’t monitoring their site’s performance. Since our team is preparing for eTail West , there is no better time to address some of the common objections I’ve seen when talking to eCommerce and Retail teams about performance.

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World’s Top Web Performance Leaders To Watch

Rigor

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Maximiliano Firtman. Maximiliano Firtman.

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Why you need to know your site's performance poverty line (and how to find it)

Speed Curve

Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward. If you have access to other data sources, then you can create a variety of correlation charts, If run an ecommerce site, then you can measure revenue, cart size, and conversion rate.

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Why you need to know your site's performance plateau (and how to find it)

Speed Curve

Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward. If you have access to other data sources, then you can create a variety of correlation charts, If run an ecommerce site, then you can measure revenue, cart size, and conversion rate.

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Google Lighthouse vs Rigor

Rigor

If the Lighthouse tool audits your site using what Google considers to be best practices, the thought process goes, then the results can help you understand how Google will view your site. Data granularity becomes more important as your development processes mature. Take an ecommerce site as an example.

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A Management Maturity Model for Performance

Alex Russell

Effective managers understand that products require processes to manage, yet front-end discourse assumes that switching frameworks will introduce a golden age. When sibling teams are brought in to integrate late in the process, attention to the cumulative experience may suffer. How did it get away from the team so quickly?

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Data Mining Problems in Retail

Highly Scalable

More specialized data mining applications like supply chain optimization and fraud detection are out of scope, as well as the implementation details of the data mining process (such as evaluation of model quality). It reduces the noise by discarding minor fluctuations that simply do not fit the smaller basis.

Retail 152