{"id":31174,"date":"2022-12-19T18:43:29","date_gmt":"2022-12-19T17:43:29","guid":{"rendered":"https:\/\/www.makingscience.com\/?p=31174"},"modified":"2022-12-19T18:43:29","modified_gmt":"2022-12-19T17:43:29","slug":"increase-your-sales-by-20-by-activating-ai-in-your-digital-advertising-campaigns","status":"publish","type":"post","link":"https:\/\/www.makingscience.com\/en\/blog\/increase-your-sales-by-20-by-activating-ai-in-your-digital-advertising-campaigns\/","title":{"rendered":"Increase your sales by 20% by activating AI in your digital advertising campaigns"},"content":{"rendered":"

Data collected without a purpose and without proper processing is virtually useless and becomes an expense that quickly escalates. It is not until we give it a sense and enrich it intelligently that we can truly consider it an investment; and discover the often surprising stories it holds.<\/span><\/p>\n

Considering our data as one of our most critical corporate assets is imperative. Monitoring customer interactions provides a wealth of knowledge to guide our marketing, sales and product development efforts, while monitoring internal processes generates valuable information to optimise operations and improve productivity.<\/span><\/p>\n

This knowledge value chain is composed of technical and non-technical components. It includes business processes and understanding that a systematic approach allows us to put data-driven predictive models into production through a strategy tailored to each business objective.<\/span><\/p>\n

Once we have extracted the relevant insights from the predictive models, the next crucial step begins: <\/span>turning this information into action to generate measurable business impact<\/b>.\u00a0<\/span><\/p>\n

This requires three key aspects:\u00a0<\/span><\/p>\n

    \n
  1. Understanding the business environment we operate, our acquisition, sales and loyalty processes.<\/span><\/li>\n
  2. In-depth knowledge of the different profiles and purchase drivers of each customer segment to which we direct our advertising campaigns.<\/span><\/li>\n
  3. The creation of tools that automate or facilitate decision-making.<\/span><\/li>\n<\/ol>\n

    At Making Science, we have been innovating in this context for years with <\/span>Gauss Smart Advertising.<\/b> This machine-learning solution optimises your advertising campaigns on digital platforms<\/b> (Google Ads, DV360, Campaign Manager and Meta, among others), <\/span>making the most of First Party Data<\/b> (from CRMs, call centres or other available data sources) and managing to <\/span>improve sales ratios by 20%<\/b>.<\/span><\/p>\n

    Technology geared towards automation and activation<\/b><\/p>\n

     <\/p>\n

    Discover the state of data maturity of UK companies in the latest Making Science research<\/a><\/span> and our recommendations for getting the most out of your data and marketing efforts.<\/span><\/p><\/blockquote>\n

    \"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

    Data collected without a purpose and without proper processing is virtually useless and becomes an expense that quickly escalates. It is not until we give it a sense and enrich it intelligently that we can truly consider it an investment; and discover the often surprising stories it holds. Considering our data as one of our […]<\/p>\n","protected":false},"author":23,"featured_media":31175,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[913],"tags":[458,456,57,457,455],"class_list":["post-31174","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology-ai-en","tag-ai-en","tag-data-en","tag-data-analytics","tag-gauss-en","tag-smart-advertising"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts\/31174","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/comments?post=31174"}],"version-history":[{"count":0,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/posts\/31174\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/media\/31175"}],"wp:attachment":[{"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/media?parent=31174"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/categories?post=31174"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.makingscience.com\/en\/wp-json\/wp\/v2\/tags?post=31174"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}