Whether it’s online or in a store, consumers are used to being prompted to join loyalty programs when making a purchase. It’s a part of the shopping experience people have come to expect, but the mechanics behind these programs aren’t always obvious. Most loyalty programs follow the same formula — you sign up and receive the same rewards and offers as all (or most) of the other loyalty program members. For brands that structure their loyalty programs in this one-size-fits-all way, the majority of rewards are never redeemed, diminishing businesses’ return on investment.
When it comes to building loyalty and gaining repeat customers, personalization is key. More than that, good personalization is key. Loyalty increases 1.5x when brands use personalization to meet customer needs, but 50% of consumers feel that personalization is often off-target.
The best way to personalize loyalty programs and stand out? By implementing AI and integrating it within all stages of the customer journey. With optimized AI, restaurants, e-commerce, and retail brands can uplevel programs through personalization and segmentation, leading to higher reward redemption rates and more engaged customers.
Fixing segmentation and connecting customer data
The key to any type of brand marketing and loyalty is effective segmentation. In most cases, brands segment customers by characteristics like age, geographic location, income, etc., using these data points to inform promotion. And, oftentimes, segmentation is based only on one of these factors.
AI helps businesses predict customer preferences and behavior patterns outside of just the classic demographic categories, suggesting the most relevant promotions to run (and to which customers). Plus, there’s no limitation on how many variables you can use for segmentation – allowing marketers to differentiate groups into hundreds unique subsets. Each customer can ultimately be their own segment, and as a result, receive an optimal experience and reward that makes sense for their own preferences. If a customer frequently purchases a particular product, AI can recommend promotions related to that category, increasing the likelihood of engagement and redemption.
If a coffee brand wants to increase afternoon sales, they might push a buy one, get one after 2pm promotion to loyalty members of a certain age. While this might result in some reward redemptions, this approach isn’t truly personalized and won’t change behaviors, or encourage additional afternoon coffee runs. Not only can segmentation allow companies to give you something they already know you like, but also make predictions on new products you may like based on past preferences – beneficial for both the consumer and the business alike.
AI allows companies to compile large amounts of customer data from multiple channels (for example, in-person purchases, online shopping, and social media engagement), and then analyze and activate personalized promotions. So instead of pushing a BOGO promotion to all customers after 2pm, the same coffee shop can target customers more likely to redeem.
Building scalability and adaptability into rewards
With plug-and-play rewards programs, there’s often a dip in participation and reward redemption after the initial reward because these programs lack personalization and are repetitive. Imagine having a rewards program that adapts and evolves with each customer interaction. This is where AI can play a transformative role.
With AI, brands can create scalable loyalty programs that aren’t just tailored to individual customers, but are also adaptable over time. This adds major value for brands because a promotion that results in major sales one day is not guaranteed to perform well in the future – seasonality, customer trends, new options could all impact customer behavior. A loyalty program with integrated AI can continually learn and refine which promotions are most effective by analyzing redemption rates, customer purchase history, browsing behavior, and demographic data. By leveraging insights based on these metrics, brand loyalty programs can automatically tailor and send personalized promotions to the right customers – and equally importantly, they can do so at the right time.
Ultimately, incorporating AI into loyalty programs allows brands to create dynamic, personalized experiences that foster deeper customer engagement and loyalty, ensuring that their investments in these programs yield the highest possible returns.
Credit: Source link
