How to use AI to personalize offers and improve the loyalty program participant experience
Posted: Sat Dec 07, 2024 10:10 am
Head of e-commerce & digital marketing at ANIA KRUK.
The first quarter of each year should be reserved for market reconnaissance. There is so much going on in digital marketing and e-commerce that anyone who does not keep up will definitely fall behind.
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The area of consumer behavior, especially israel phone number library those related to brand loyalty, is no different. Implementation of automation and artificial intelligence tools in the processes of building customer loyalty is already underway, and the intensity of their use will increase in the coming months.
You can now use AI-optimized campaigns to scale your brand reach. These types of campaigns significantly increase the effectiveness of your reach and sales activities, as well as the efficiency of your SEM processes, both internal and outsourced.
Our job as marketers is to design a loyalty program that will make retention revenue a solid pillar of profitability and stability for the company. Marketing activities should therefore be divided into two perspectives. One is to scale the brand by increasing its availability and acquiring new customers . The other is to convert a once-acquired customer into a returning customer .
Each of these perspectives assumes completely different actions, serving different goals. Acquiring new users requires a different approach than building loyalty of returning customers. Right now, in order to scale the reach of your brand, you can use campaigns optimized with artificial intelligence. Such campaigns significantly increase the effectiveness of reach and sales activities, but also the efficiency of SEM processes, both internal and outsourced.
The fundamental difference between acquiring a new customer and turning them into a returning customer lies in knowledge. If you acquire a new customer and use AI-based campaigns to do so, you rely largely on behavioral patterns and assumptions (if X people behaved in a certain way, then the probability that this particular person will do the same is Y). In turn, when designing a loyalty process, your knowledge of the customer is at a completely different level. You know what they bought, for how much, and when. You know where they came from and whether they are open to communicating with your company. Thanks to opinion collection tools, you can learn what your recipients think. It would be a huge mistake not to use this knowledge when designing loyalty programs.
The first quarter of each year should be reserved for market reconnaissance. There is so much going on in digital marketing and e-commerce that anyone who does not keep up will definitely fall behind.
Listen to "Marketer+" Podcast
The area of consumer behavior, especially israel phone number library those related to brand loyalty, is no different. Implementation of automation and artificial intelligence tools in the processes of building customer loyalty is already underway, and the intensity of their use will increase in the coming months.
You can now use AI-optimized campaigns to scale your brand reach. These types of campaigns significantly increase the effectiveness of your reach and sales activities, as well as the efficiency of your SEM processes, both internal and outsourced.
Our job as marketers is to design a loyalty program that will make retention revenue a solid pillar of profitability and stability for the company. Marketing activities should therefore be divided into two perspectives. One is to scale the brand by increasing its availability and acquiring new customers . The other is to convert a once-acquired customer into a returning customer .
Each of these perspectives assumes completely different actions, serving different goals. Acquiring new users requires a different approach than building loyalty of returning customers. Right now, in order to scale the reach of your brand, you can use campaigns optimized with artificial intelligence. Such campaigns significantly increase the effectiveness of reach and sales activities, but also the efficiency of SEM processes, both internal and outsourced.
The fundamental difference between acquiring a new customer and turning them into a returning customer lies in knowledge. If you acquire a new customer and use AI-based campaigns to do so, you rely largely on behavioral patterns and assumptions (if X people behaved in a certain way, then the probability that this particular person will do the same is Y). In turn, when designing a loyalty process, your knowledge of the customer is at a completely different level. You know what they bought, for how much, and when. You know where they came from and whether they are open to communicating with your company. Thanks to opinion collection tools, you can learn what your recipients think. It would be a huge mistake not to use this knowledge when designing loyalty programs.