Harnessing AI for Data-Driven Customer Engagement
Almost a decade ago, the mobile phone challenged the previous position of e-commerce and concentrated on the role of mobile-first shopping, data collection, and building trust. Technology’s advances made consumers’ experiences more personalized than they used to be, while retailers tried to beat the competition by offering one-to-one experiences to their customers.
Mobile shopping reshapes retail
Here are three ways retailers can harness the power of AI to transform the customer journey and drive impactful marketing outcomes: Statistically, Pew Research developed the rate when 81 percent of the American public judges that they have no or almost no power over the data that corporations harvest about them. Research done by eMarketer shows that 73% of individuals feel that their personal experiences have only made it easier to become loyal to that brand and buy again. This becomes an issue for retailers as they grapple with the problem of adapting to the fast-changing consumers’ values while being ethically and legally aware of using data as is consented by consumers.
The data-driven industry of the near future will rely less on data markers such as cookies and more on data privacy, for instance. Retailers can use technologies such as AI to rethink how they share and handle data, build new customer identity strategies, and implement answers to the question of how to deliver personalized retail experiences. To illustrate, mobile commerce has emerged as a major consideration for brands to reach their customers where they are.
Now, phone numbers must be very powerful identity markers. The fact that people feel more comfortable providing their phone numbers in the discovery and checking out and also clicking and interacting with text messages than with emails responds to consumers’ growing tendency to prefer receiving text messages rather than emails. This makes it possible for marketers to utilize first- and zero-party data to build their respective identity data to better deliver hyper-personalized experiences with generative AI and attain the highest customer engagement possible.
Many retailers still use marketing tactics grounded on first marketing platforms. When the teams are required to customize something, they often create numerous variants of a message that should cater to various audience segments. As a result, they have a heavier workload of writing custom messages and coming up with personalized sub-audiences. This means that not only do we get the same messages, but also, these campaigns are often out of date and use the “batch-and-blast tactics,” which are mass messaging to a big group of subscribers without customization and end up not engaging the target audience.
AI unlocks hyper-personalization
AI Way has ended the time of approaching every customer the same, and now it is unique to people and individual-focused. In more than two-thirds of cases (68 percent), the customers have admitted that they would think of leaving a brand that did not provide a personalized experience for them. However, most customers have clarified that one-to-one personalization is now more crucial than ever before if they are to stay loyal to the brand.
Firstly, there is data analysis based on AI that can handle consumer preference data, which usually starts with a simple website visit that allows the retailer to recognize and make a profile immediately. As the model gets to list the details, generative AI can invent original ROI in the Brand’s tone that redirects consumers along the lifecycle marketing funnel from consideration to purchase. In addition, AI does 24/7 all the jobs involved in personalization to maximize profitability for all company levels with no hesitation. As time has passed, mobile shopping appears to emit more digital market visits and dominate online orders.
To cope with a fast-changing market where mobile shoppers are becoming increasingly popular, retailers must refocus their systems, develop approaches that meet and exceed mobile needs, and create the conversational experience most consumers want in their preferred channels.
The shift to AI brought the possibility of moving on from reactive to proactive shoppers’ behavior and preferences prediction, allowing them to deeply understand each customer and tailor the experience individually. To keep up with the changing retail world, all entities should take advantage of digital transformation, which will directly impact their business success and customer experience.
Read More
Harnessing AI for Data-Driven Customer Engagement
Almost a decade ago, the mobile phone challenged the previous position of e-commerce and concentrated on the role of mobile-first shopping, data collection, and building trust. Technology’s advances made consumers’ experiences more personalized than they used to be, while retailers tried to beat the competition by offering one-to-one experiences to their customers.
Mobile shopping reshapes retail
Here are three ways retailers can harness the power of AI to transform the customer journey and drive impactful marketing outcomes: Statistically, Pew Research developed the rate when 81 percent of the American public judges that they have no or almost no power over the data that corporations harvest about them. Research done by eMarketer shows that 73% of individuals feel that their personal experiences have only made it easier to become loyal to that brand and buy again. This becomes an issue for retailers as they grapple with the problem of adapting to the fast-changing consumers’ values while being ethically and legally aware of using data as is consented by consumers.
The data-driven industry of the near future will rely less on data markers such as cookies and more on data privacy, for instance. Retailers can use technologies such as AI to rethink how they share and handle data, build new customer identity strategies, and implement answers to the question of how to deliver personalized retail experiences. To illustrate, mobile commerce has emerged as a major consideration for brands to reach their customers where they are.
Now, phone numbers must be very powerful identity markers. The fact that people feel more comfortable providing their phone numbers in the discovery and checking out and also clicking and interacting with text messages than with emails responds to consumers’ growing tendency to prefer receiving text messages rather than emails. This makes it possible for marketers to utilize first- and zero-party data to build their respective identity data to better deliver hyper-personalized experiences with generative AI and attain the highest customer engagement possible.
Many retailers still use marketing tactics grounded on first marketing platforms. When the teams are required to customize something, they often create numerous variants of a message that should cater to various audience segments. As a result, they have a heavier workload of writing custom messages and coming up with personalized sub-audiences. This means that not only do we get the same messages, but also, these campaigns are often out of date and use the “batch-and-blast tactics,” which are mass messaging to a big group of subscribers without customization and end up not engaging the target audience.
AI unlocks hyper-personalization
AI Way has ended the time of approaching every customer the same, and now it is unique to people and individual-focused. In more than two-thirds of cases (68 percent), the customers have admitted that they would think of leaving a brand that did not provide a personalized experience for them. However, most customers have clarified that one-to-one personalization is now more crucial than ever before if they are to stay loyal to the brand.
Firstly, there is data analysis based on AI that can handle consumer preference data, which usually starts with a simple website visit that allows the retailer to recognize and make a profile immediately. As the model gets to list the details, generative AI can invent original ROI in the Brand’s tone that redirects consumers along the lifecycle marketing funnel from consideration to purchase. In addition, AI does 24/7 all the jobs involved in personalization to maximize profitability for all company levels with no hesitation. As time has passed, mobile shopping appears to emit more digital market visits and dominate online orders.
To cope with a fast-changing market where mobile shoppers are becoming increasingly popular, retailers must refocus their systems, develop approaches that meet and exceed mobile needs, and create the conversational experience most consumers want in their preferred channels.
The shift to AI brought the possibility of moving on from reactive to proactive shoppers’ behavior and preferences prediction, allowing them to deeply understand each customer and tailor the experience individually. To keep up with the changing retail world, all entities should take advantage of digital transformation, which will directly impact their business success and customer experience.
Read More