The Analytics pages now contain a new tab:\u00a0Prices<\/strong>.\u00a0This tab shows how products’ prices affect revenue. This information is useful for setting product prices, and for choosing the level of discounts to use in Sales Campaigns.<\/p>\n The Y Axis (labeled “Full Product Price”) shows various prices at which your products have been bought. For each price point, the X Axis (labeled “Total Revenue”) shows the total revenue that was derived from products that had that price.<\/p>\n If you’ve sold products using a discount (in a Sales Campaign) then the revenue bars will be subdivided to show how much revenue was made at each discount level.<\/p>\n How to Use This Information<\/strong><\/p>\n This page\u00a0can provide insights about\u00a0how much users are willing to pay for your products. Perhaps you see that low-cost products sell best; or perhaps the other way around. This can help you set prices for your products.<\/p>\n This page is also useful for deciding whether to use Sales Campaigns, and which discount levels work best. For example, if you see that selling\u00a0a product at a 70% discount generated more revenue than a 40% discount then you’ll know that the higher discount works better.<\/p>\n Note that in order to effectively analyze the effect of different\u00a0discount levels\u00a0you should view a single Product (and not the entire Store). In addition, remember that the selected time range affects the revenue shown: e.g., if the time range is 3 months but the product was only on sale for 1 week\u00a0then you should take that into account when you evaluate\u00a0the effectiveness of putting the product on sale.<\/p>\n","protected":false},"excerpt":{"rendered":" Today we added a new feature to\u00a0Kitely Market: a way to analyze\u00a0the relationship between\u00a0product prices and\u00a0revenue. If you’re a merchant, this will help you optimize your product prices so that you can maximize your earnings. Prices in Analytics The Analytics pages now contain a new tab:\u00a0Prices.\u00a0This tab shows how products’ prices affect revenue. This information … Continue reading Analytics for Product Prices<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1908","post","type-post","status-publish","format-standard","hentry","category-virtual-worlds"],"_links":{"self":[{"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/posts\/1908","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/comments?post=1908"}],"version-history":[{"count":8,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/posts\/1908\/revisions"}],"predecessor-version":[{"id":1918,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/posts\/1908\/revisions\/1918"}],"wp:attachment":[{"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/media?parent=1908"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/categories?post=1908"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kitely.com\/virtual-world-news\/wp-json\/wp\/v2\/tags?post=1908"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"Analytics](\"https:\/\/www.kitely.com\/virtual-world-news\/wp-content\/uploads\/2014\/12\/analytics-prices.png\")
<\/a><\/p>\n