The Digital Age of advertising is booming with innovation. Understandably, it’s hard for companies to keep up with shifting platforms, algorithms, and software. That’s where AI comes in.
Searches are getting more specific, and customers expect their niche needs to be met. That’s where artificial intelligence can assist with the personalization that your customers crave.
The Impact of AI on Brands
Per a recent Salesforce survey, marketers believe that AI will strongly impact their business over the next five years through landing pages and websites (61%), hyper-personalized content (61%) and reaching the right channel at the right time (61%). Similarly, they expect that AI will boost productivity (59%), digital asset management (59%), and campaign analysis (59%).
To successfully launch such AI innovations, experts suggest that companies get to know their data better before implementation.
Personalizing Touchpoints in the Customer Journey
A customer can click away or drive away at the moment, abandoning their journey. How does this happen? Brand abandonment occurs when customers can’t find what they’re searching for if products are out of stock or even for reasons unknown.
Advertisers can analyze the context of visitor searches, past actions, and past behaviors along a customer’s journey. They can use this data to recommend potential items of interest better and broaden their shopping horizons. Depending on the data available, brands can use various recommendation schemes to construct product recommendations and place them in the customer view via personalized conversation.
How AI Systems Analyze Customer Behaviors
Some companies and marketers think of AI systems as a “smart algorithm.” However, this idea is misinformed. AI systems are continuously learning to adjust to the most recent user data and context received. Such powerful information powerfully transforms how a brand interacts with its visitors.
The AI system engages with a user in real-time with relevant predictions and pulls up essential intents and underlying interests from the whole sum of customer behaviors. In turn, this can fine-tune a brand’s marketing strategy with unparalleled precision. A few examples of a real estate agency or related industry might include:
- Based on the user’s current location and other visitors’ habits in this location, AI data could predict how likely they are to stay put or move to another neighborhood.
- After determining those who match the user’s demographics, AI data could determine their likelihood of upgrading to a better apartment or searching for their first home.
- Based on the user’s last leasing information, AI data could predict the amenities preferred and what others in a similar situation may look for.
Personalizing each touchpoint in the customer’s journey helps to create a customized and seamless experience that sets your company apart from other brands. You instinctively address their needs. What’s not to like?
Innovative Growth Factors with AI Systems
AI systems are the future for companies who are looking to target their niche audiences more precisely. Also, AI data analysis proves useful for a company looking to tailor their messages.
This way, your volume gets boosted quickly. AI can help content and marketing teams strategize more specifically and faster to get the word out and keep people engaged.
In the banking industry, more consumers are shifting their financial management strictly online. However, what happens to the personalized experience of walking into the bank and speaking with someone you know and trust? To keep these experiences personal, financial firms are adopting AI chatbots to conduct lead generation and interact with existing clients. Customer support is immediate.
Health companies can employ AI chatbots to remotely connect with customers to schedule appointments, discuss symptoms, or perform check-ins after surgery.
The retail sector might use AI to assist with product design or shop for hard-to-fit body types based on collected consumer data.
The ability of brands to gift customized experiences through AI promises both convenience and personalization. Distance and a screen may separate the user from the brand. However, that doesn’t mean that the customer feels estranged or like they are not being helped. In the Digital Age, customers can still expect personalized and thoughtful consideration as if they walked right into the store.