{"id":109927,"date":"2024-08-01T15:27:56","date_gmt":"2024-08-01T14:27:56","guid":{"rendered":"https:\/\/www.marketingtechnews.net\/?p=109927"},"modified":"2025-08-05T13:00:21","modified_gmt":"2025-08-05T12:00:21","slug":"ais-biggest-advantage-making-marketing-analysis-easier","status":"publish","type":"post","link":"https:\/\/www.marketingtechnews.net\/news\/ais-biggest-advantage-making-marketing-analysis-easier\/","title":{"rendered":"AI\u2019s Biggest Advantage: Making Marketing Analysis Easier"},"content":{"rendered":"\n

Every agency wants to extract deep insights from marketing data. Everybody wants to identify non-obvious patterns and trends they can use to make better decisions, improve campaigns, and delight clients with the results.<\/p>\n\n\n\n

Akkio<\/a> makes that simple. Users type English-language queries into a comfortable user interface and immediately get the answers they need \u2013 Like chatting directly with your data. It\u2019s as easy to explore internal marketing databases as to perform a Google search. <\/p>\n\n\n\n

With contextual conversations, teams can chat directly with the data, as well as the charts or tables emitted. They interrogate the data in a conversational manner: \u201cAnalyse these channels\u201d and \u201cBuild a visualisation.\u201d And then, \u201cShow the geographic breakdown on that chart.\u201d Then, \u201cChange the typeface on that table\u201d so you can use the results in client reports.<\/p>\n\n\n\n

There\u2019s no friction in the easy-to-grasp user experience and almost no learning curve.<\/p>\n\n\n\n

Traditional business intelligence (BI) tools offer persistent and predictable access to high-value intelligence that can inform business decisions and competitive strategy. However, those legacy BI tools require that you know what questions to ask, which fields to monitor, and the statuses to check.<\/p>\n\n\n\n

Instead, AI lets you identify intricate data patterns and relationships. Akkio combines traditional AI with BI, so you can get answers to the questions you didn\u2019t think to ask or that you didn\u2019t know how to articulate. Previously, you would need to think to ask, \u201cDo people who own BMWs buy more laundry soap than the average?\u201d or \u201cDo baseball fans respond differently to makeup ads than golfers do?\u201d<\/p>\n\n\n\n

Now, you can find correlations without dumpster diving. Instead, you ask, \u201cWhat are the unique behavior patterns among these users?\u201d and Akkio provides the data you need: \u201cWomen who buy inexpensive makeup brands are four times more likely to purchase greeting cards.\u201d<\/p>\n\n\n\n

Asking questions conveniently is only the start.<\/p>\n\n\n\n