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    Omar Faruk
    Jul 07

    Resources and Budget Ghost Mannequin Effect

    in Welcome to the Forum

    Executives are often concerned about the task and cost of implementing AI applications. So the best place to start is not to ask for more budget and resources, but to ask yourself if you are making good use of what you have already paid. Consider the AI ​​features of your current marketing toolset. Marketing automation platforms like HubSpot, CRM like SalesForce, and advertising tools like Google and Facebook ads all have AI built into their systems. If you are a customer of any of these solutions,


    You can learn from their insights and ghost mannequin effect experience, so their support team can be a valuable resource to get started with your organization's AI implementation. .. This is a great way to start building your team's capabilities with AI applications at little or no additional cost. And what about the AI ​​features of the current technology stack? AI technology is use case based, not channel based. So, if your website is running a recommendation engine, why not use this machine learning algorithm to improve your personalization of email newsletters, push notifications, or chatbot content? advertisement Continue reading below These existing technologies can be used as a low investment proof of concept.


    Therefore, when requesting additional resources and budgets, executives are already fully involved. When looking for a new tool, keep an eye on buzzwords. Many AI solutions aren't really that intelligent. Even if the product description contains the words "AI" or "machine learning". Some tools shamelessly use these terms to describe common automation or targeting features. Now that we have a deeper understanding of what AI really is, we'll explain the pace to those sales reps. If the vendor can't explain how AI works in detail, don't buy it. If you think it's too good to be true, don't buy it. Sorry, there is no marketing AI platform that puts it all together in one monthly subscription. This is because AI is narrow and needs to be built specifically to solve one well-defined problem. advertisement Continue reading below

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