{"id":1072,"date":"2025-07-18T00:00:00","date_gmt":"2025-07-17T22:00:00","guid":{"rendered":"https:\/\/ad1lu9pexv.wpdns.site\/our-work\/increasing-performance-with-machine-learning\/"},"modified":"2025-11-17T17:11:36","modified_gmt":"2025-11-17T15:11:36","slug":"increasing-performance-with-machine-learning","status":"publish","type":"case-studies","link":"https:\/\/incubeta.com\/es\/our-work\/increasing-performance-with-machine-learning\/","title":{"rendered":"Increased Performance with Machine Learning"},"content":{"rendered":"<h2>Challenge Overcome<\/h2>\n<p>Imperial London Hotels were able to make their Paid Search budget work harder by reducing spend on areas with organic coverage, and understanding the true value behind their search marketing.<\/p>\n<h2>Approach Taken<\/h2>\n<p>Incubeta and Imperial London Hotels worked together to identify opportunities, guide optimizations and achieve maximum incrementality.<\/p>\n<p>Leveraging machine learning with a data driven approach meant that automated paid bidding decisions are in line with a search terms organic position, ultimately driving budget efficiency.<\/p>\n<p>The savings that were made through this approach have been reinvested into other areas to maximize the paid search ecosystem.<\/p>\n<h2>Value Delivered<\/h2>\n<p>Having developed a holistic understanding of all Search activity, Imperial London Hotels drove channel optimization and delivered a 73% increase in revenue vs pre-campaign implementation. This resulted in a 96% increase in Total Search Revenue YoY.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Imperial London Hotels harnessed the power of Machine Learning to increase budget efficiency and maximize search incrementality &#8211; delivering a 73% increase in revenue.<\/p>\n","protected":false},"featured_media":5486,"template":"","meta":[],"approach":[24],"solution":[31],"industry":[28],"market":[15],"class_list":["post-1072","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry","approach-adaptive-automation","solution-seamless-search","industry-hospitality","market-uk"],"_links":{"self":[{"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/case-studies\/1072","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/case-studies"}],"about":[{"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/types\/case-studies"}],"version-history":[{"count":0,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/case-studies\/1072\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/media\/5486"}],"wp:attachment":[{"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/media?parent=1072"}],"wp:term":[{"taxonomy":"approach","embeddable":true,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/approach?post=1072"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/solution?post=1072"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/industry?post=1072"},{"taxonomy":"market","embeddable":true,"href":"https:\/\/incubeta.com\/es\/wp-json\/wp\/v2\/market?post=1072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}