Are you wondering how to utilize search metrics in GoDaddy Auctions? Well, some major players in the market have started incorporating SEO metrics into their dashboards. Namecheap was the first one to do it, and now GoDaddy Auction platform has added these metrics as well.



Recently, GoDaddy's auction marketplace has made some updates to the metrics they display for their daily dropping domains, which you might have missed if you use a third-party platform like ExpiredDomains.net to look through their firehose. They've added new metrics such as "Majestic TF," "Majestic CF," "Backlinks," and "Referring Domains."

To give you an in-depth understanding of these metrics, let's break them down. Trust Flow (TF) and Citation Flow (CF) are metrics from Majestic.com that measure the quality and quantity, respectively, of links that point to URLs and websites. A website with higher trust flow than citation flow will likely have good-quality links.

While trust flow measures the quality of links, citation flow measures the quantity of links that point to any given website, regardless of its quality. Referring domains and backlinks are self-explanatory, but it's worth noting that multiple backlinks can come from a single referring domain.

If you're a domain investor looking for high SEO value domains, then you should focus on referring domains or trust flow rather than the number of backlinks or citation flow. All SEO metrics can be manipulated to increase their value, but manipulating trust flow is relatively harder than citation flow. So, keep this in mind while sorting through domains in your search for portfolio-worthy ones.

To parse auctions, I rely on expireddomains.net, a free platform that offers all domains from GoDaddy auctions along with sorting by price. However, this platform has one major drawback – it doesn't save the prices of completed auctions, which makes it difficult to understand the final sale value of a domain.
Neither GoDaddy nor Expireddomains provide this crucial data. As a result, I've had to resort to actively monitoring auctions until they end, which can be time-consuming and frustrating. It would be beneficial if these platforms could find a way to offer historical data on auction prices.