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With the rise of AI tools like large language models and marketing knowledge graphs, optimizing your customer communication is more seamless than ever. But what AI solutions should you focus on to automate aspects of your marketing pipeline development? In our latest Revenue Growth Model podcast, Principal Kevan Savage and Revology Analytics Founder & Managing Partner Armin Kakas talked about the rise of AI's impact on the sales process and evolving strategies to implement AI in your marketing functions. Listen to the whole episode: https://lnkd.in/ewBWq8N4 #AI #ArtificialIntelligence #Marketing #AIMarketing

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We see more and more companies taking advantage of LM. So large language models like enabled marketing, SaaS solutions that automate many aspects of your pipeline development. So there's literally tools out there nowadays that you can subscribe to. They do anything from building your prospect list, enriching that data, deploying hyper personalized content, deploying trigger based workflow sequences, and they do it at scale, right? That used to be kind of the job of many, many people. On the more sophisticated side being so we, we, we do have some companies that are employing marketing knowledge graphs, right, which is this fancy term for a graph database, but basically houses all your sales and marketing and customer interaction data. And through these knowledge graphs, companies can actually optimize not just the method of the customer communication, but the timing, the content. They can understand the impact of the marketing efforts. They can ask key questions about their marketing efforts, which is the best combination of my marketing channels or? Campaigns and in what sequence that are the best for conversions for my customer segments and so. You know, on the attribution models, you've mentioned that we're actually seeing something interesting. We see more and more companies become interested in marketing mix versus attribution modeling. So attribution modeling was like the all the rage in the last decade. And so I think marketers are realizing there's a heavy amount of signal loss and just sort of general noise in the data. And so this whole concept of marketing mix modeling is is making a comeback and it's, you know, especially for for companies that want to understand the. Impact of their marketing efforts on their pipeline in an Omni channel world, right? Yeah, Arman, you're hitting on a good .1 of the things that we've seen work well in organizations where they're leveraging AI for if marketing's, you know, setting the stage for where we focus our strategy, who do we try to target? We'll see things like can you hit on it already around marketing mix modeling and things like that, tracking deals backwards, right? And how customers interacted pre, during and at close. In the in the deal life cycle and stages so they can replicate that do that local like modeling and it's also a great kind of. Converging exercise between the marketing and the sales teams to understand where I can take really good application and in terms of developing more qualified pipeline, 100% Yep.

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Armin Kakas

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With the rise of AI tools like large language models and marketing knowledge graphs, optimizing your customer communication is more seamless than ever. But what AI solutions should you focus on to automate aspects of your marketing pipeline development? In our latest Revenue Growth Model podcast, Principal Kevan Savage and Revology Analytics Founder & Managing Partner Armin Kakas talked about the rise of AI's impact on the sales process and evolving strategies to implement AI in your marketing functions. Listen to the whole episode: https://lnkd.in/ewBWq8N4 #AI #ArtificialIntelligence #Marketing #AIMarketing
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