Measuring the impact of multi-channel

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campaigns requires analyzing information from dozens of sources and applying complex models to determine which creative elements, channels, devices, publishers, and tactics (such as time of day or ad size) made an impact. “Noise” can include factors such as competitive moves — did they run a sale at the same time or was there a new product launch? — the economy, and even the weather.

AI for advertising sales teams can help separate signal from noise and identify what works and what doesn’t. Some leading AI-driven tools provide automated optimization recommendations – such as messaging, placement, and targeted audiences – based on the historical performance of marketing and ads.

Artificial intelligence in advertising sales may be changing, but if we continue to learn with it, we will continue to benefit. AI excels at automating mundane tasks, and at sifting through daunting amounts of data at dizzying speed. It’s a much-needed boost to the ad-sales process and you can implement it easily today. Let AI work for you.
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Would you believe there are some companies that attribute at least 20% of america phone number list their earnings (before interest and taxes) to their use of artificial intelligence? What do these leading AI companies know that you don’t?

It’s a question worth exploring. Many companies are meandering through the strategy phase of AI, especially gen AI, and are focused on defining a vision that aligns with their business. High performers, on the other hand, are past that phase. They invest more and use AI more broadly.

We’ll highlight some of these high performers, including Schneider Electric, Rossignol, and General Mills. But first.