{"id":8986,"date":"2024-10-16T14:25:56","date_gmt":"2024-10-16T14:25:56","guid":{"rendered":"https:\/\/tup.kxe.temporary.site\/how-ai-and-ml-bridge-the-attribution-disconnect-across-marketing-channels\/"},"modified":"2024-10-16T14:25:56","modified_gmt":"2024-10-16T14:25:56","slug":"how-ai-and-ml-bridge-the-attribution-disconnect-across-marketing-channels","status":"publish","type":"post","link":"https:\/\/okdesign.ca\/fr\/how-ai-and-ml-bridge-the-attribution-disconnect-across-marketing-channels\/","title":{"rendered":"How AI and ML bridge the attribution disconnect across marketing channels"},"content":{"rendered":"


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As marketers pour more budget into digital channels, a surprising disconnect remains. While the majority of retail sales, for example, still happen in physical stores, most marketing efforts focus solely on tracking online metrics.<\/p>\n

The challenge? Traditional attribution models fail to connect digital spend with real-world outcomes. To bridge this gap, marketers must embrace AI and machine learning to gain a full picture of how their campaigns drive both clicks and in-store purchases, unlocking a deeper understanding of true ROI.<\/p>\n

The CMO\u2019s attribution dilemma<\/h2>\n

If you\u2019re a CMO, chances are you\u2019re laser-focused on delivering results and spending most of your marketing budget on digital channels. But with 80% of U.S. retail sales<\/a> taking place in brick-and-mortar stores and nearly 80% of marketing budgets spent on digital channels, something doesn\u2019t add up\u200b.\u00a0<\/p>\n

At first, this number surprised me, given how much time people spend online. But from a consumer\u2019s perspective, it actually makes sense. I don\u2019t like to buy shoes without trying them on. I\u2019ve also been known to walk into a store for one thing and walk out with $200 of skin products.\u00a0<\/p>\n

The reality is that we\u2019re throwing money at screens while our customers are walking through doors. But if we measure clicks but ignore what happens in-store, how do we confidently prove marketing\u2019s impact?\u00a0<\/p>\n

It\u2019s tempting to think digital is king when it comes to attribution, but focusing exclusively online is a mistake. Many attribution models are still painfully bad at linking digital efforts to real-world actions like foot traffic and in-store sales. If your metrics end at clicks and impressions, you\u2019re missing the bigger picture \u2014 and, worse, you\u2019re misdirecting budget based on incomplete insights.\u00a0<\/p>\n

Marketers should demand better answers to age-old questions like:<\/p>\n