Loyalty programs have always been an essential part of a well-rounded loyalty strategy for eCommerce brands. When done well, loyalty programs drive profits and growth for brands.
With the widespread use of AI, there’s a lot that brands can do more, and better. AI can be used for marketing as well as for business processes.
In this blog, we look at all the ways in which to use AI for eCommerce loyalty programs.
Let’s get started!
Marketing and customer-facing AI use cases
Using AI in customer-facing processes, such as marketing, sales, promotions, and communication can help you enhance customer experience and improve the performance of your loyalty program. Here are some ways to use AI for customer-facing processes.
1. Personalized loyalty incentives
Every customer is different. One way AI is helping brands create more effectiveness with loyalty programs is by personalizing rewards.
By collecting and analyzing data, AI helps brands understand customer preference. AI analysis can throw light on customer behavior and purchase history, they kind of reward certain customers are more drawn to, etc.
For instance, consider a customer who purchases a lot of sports gear. Offering them AI-driven customer rewards related to sports will be more relevant to them. This hyper-personalization of loyalty rewards can lead to increased loyalty.
Moreover, AI can also help identify the time, period, moments when customers are more prone to and inclined to making purchases for rewards. For example, it could be during the sale and discount season.
Here’s how to use AI for eCommerce loyalty programs personalization:
- Use AI to collect customer data
- Analyze data to understand customers’ likes and interests
- Know customers in a genuine manner
- Identify rewards that match customers’ personalities
- Integrate AI tools to offer personalized rewards via your Shopify loyalty program
Example:
2. AI-powered gamification
Rigid and transactional-only loyalty programs are limiting and do not lead to the kind of experiences customers look for. That’s where gamification can help create engaging rewards programs.
Incorporating gamification in your loyalty program can add an element of fun in it. Besides, it touches all sorts of emotions of your customers – a competitive spirit, instant gratification from winning, etc.
Here’s how to use gamification and AI for eCommerce loyalty programs
- Add an emotional touch with gamification – make customers feel excited, happy, competitive, and engaged with gamified rewards
- Use AI to offer personalized gamified experience, for example, offer personalized rewards
3. Chatbots for customer assistance
Another way to use AI for eCommerce loyalty programs is to set up AI-powered chatbots. They can help you stay connected and engage with loyalty program members 24/7. Since these are your special customers, you can make it easy to always stay connected via chatbots.
Here are some use cases of AI-powered chatbots for your loyalty programs.
- Use AI to ensure your chatbot tool can access customer history and rewards information in real-time
- Enable chatbots to respond to customer questions related to rewards, such as, checking their available points, explore how to earn rewards, ways to redeem points, etc.
- Automate communication about customers’ expiring points via chatbots
- Use AI to handover conversations to human agents when necessary
4. AI-optimised email and SMS notifications
Effective, timely, and targeted communication is essential for loyalty programs. AI tools can help brands send personalized messages, timely messages, and relevant communication.
For instance, if a loyalty member hasn’t logged in or engaged with your brand for over a year, your AI-optimised system will send an email to rekindle their interest and bring them back to your site by telling them about new rewards, expiring rewards in the customer’s account, etc.
Here’s how AI can help enhance loyalty program email and SMS communication:
- Personalize messages based on customers’ individual engagement patterns
- Adjust the frequency of emails and SMSes based on customer preference
- Send timely notifications
- Create dynamic content in real-time, for example customize rewards
5. Automated churn prevention
The average consumer is part of around 19 loyalty programs, but engages with just a few. Disengagement eventually leads to churn. But with so many customers, it’s hard for brands to track which customers are leaning towards churn.
AI-powered retention strategies can help brands with churn prevention. Detect disengaged customers and identify triggers that may lead to churn. Here’s how you can use AI for eCommerce loyalty programs and reduce churn:
- Use AI to identify customer behavior that can lead to cancellation
- Automate offering AI-driven customer rewards in real-time, to reverse churn
- Use AI to re-engage customers before they churn, based on their past behavior
6. Use AI for social media engagement
AI can also be used for social media engagement for loyalty programs. Using AI, you can offer personalized loyalty incentives to create more engagement. By using AI, you can use your social channels more effectively to identify, reward, and retain customers.
Here are some AI based customer engagement strategies for social media:
- Offer AI-based rewards for interactions, shares, likes, comments, etc.
- Offer AI-based rewards for referrals
- AI-based incentives to customers who share good reviews about your brand
- Track brand mentions, product discussions, etc. via social listening
- Use AI to generate personalized interactions for social media channels
AI for eCommerce loyalty programs: business process use cases
AI can help loyalty program internal processes become faster and more efficient, leading to more productivity for eCommerce businesses. In this section, we look at the many ways in which you can use AI to execute your loyalty program efficiently.
1. AI-based segmentation and tiering
AI can help you segment your loyalty program members in several different groups, giving you a more multidimensional view of customer behavior.
Here’s how you can use AI for eCommerce loyalty program segmentation:
- Use AI for behavioral segmentation. Use AI to track customer browsing patterns, frequency, product categories they’re interested in, and their response to promotions.
- Create macro and micro segments. Segregate customers into macro groups and also into micro groups based on their behaviors.
- Enable real-time tier upgrades. Set up an AI system that upgrades customers to higher tiers in real-time, based on their behavior patterns.
2. Use AI to optimize reward structures
One of the most important tasks of loyalty programs is to offer relevant rewards to members. Members aren’t interested in expensive or the number of rewards as much as they are in their relevance. And to make rewards personalized, you can use AI.
- Monitor which rewards drive more repeat purchases and offer more of those
- Use AI to test and track which reward combinations are more profitable for your business
- Set up an AI system that helps you personalize rewards – know which rewards are suitable to specific behaviors and preferences
Example:
3. AI-driven fraud detection
Loyalty and rewards program fraud is on the rise. To protect your customers and your business from fraud, it’s essential to set up automated fraud detection systems. This is where AI comes in.
- Use AI to track and monitor sudden and unusual point accumulation or redemption patterns
- Enable additional verification for high-value points redemption to keep fraudulent transactions at bay
4. Use predictive analytics for loyalty programs
One critical task for businesses is to retain customers, understand when customers might leave or disengage. With AI you can set up proactive strategies to identify different things, such as cancellations, churn, fraud, etc. Rather than waiting for these customer actions to occur and then finding a way to reverse them, you can use predictive analytics for loyalty programs to proactively detect them beforehand.
- Set up AI-powered retention strategies. Your AI system should be able to identify signals many months before customers leave your loyalty program
- Using AI, predict which customers could offer the highest lifetime value to your business, based on their spending
- Automate offering AI-driven customer rewards to stop members from cancellations and churn
5. Manage your loyalty programs with AI
When you run a loyalty program, you will have a lot of tasks to manage – from onboarding members to offering personalized loyalty incentives to sending updates and renewal reminders – the list is endless. Performing all these tasks manually is impossible. This is where you can use AI to streamline your loyalty program management.
- Set up an AI system that smartly allocates rewards based on the product margin, inventory levels, or other factors. This way, you can manage your program more effectively
- Enable automatic tier adjustments based on members’ behaviors, such as upgrades when their spending increases, and downgrades when it decreases
6. AI-based pricing strategies
Effective pricing strategies are critical to loyalty programs. Customers expect financial benefits and savings when they join loyalty programs. But to manually gauge and assess the best strategies for different customer segments can be difficult. Use AI and algorithms.
- Use AI to offer dynamic rewards based on product margins and customer value
- Develop triggers that prevent too much discounting on high-margin products for price-sensitive customers
- Use algorithms to identify how sensitive different customers are to various rewards
7. Enhance referral programs with AI
Typically, brands offer the same incentives for all referrals. But what if you personalized loyalty incentives or offered exclusive incentives to your loyalty program members? It would definitely enhance your referral and loyalty programs. Here’s how you can use AI for it:
- Use AI models to identify customers most likely to make successful referrals based on social media activity, review writing, and previous sharing behavior
- Create systems that offer different referral rewards based on a customer’s influence potential and the projected value of their referrals
- Use AI to analyze when customers are most receptive to referral requests and automate outreach during these windows
8. Manage your supply chain with AI
Ecommerce stores not only have to manage their regular inventory, but they also have to track their rewards program inventory. If you promise rewards to customers, you must ensure they receive it. That is why inventory management is critical for loyalty programs. Use AI for your eCommerce loyalty programs supply chain management.
- Use AI to create systems that predict reward redemption patterns based on point accumulation rates and seasonal factors
- Integrate your inventory with your rewards program and use AI to automatically adjust rewards availability based on inventory levels
- Set up AI systems that can suggest alternative rewards recommendations based on availability
How to employ AI for your eCommerce loyalty program
To use AI capabilities for your Shopify store, you must set up a strong foundation with smart features that use AI. One way to ensure this strong foundation is to use an efficient Shopify loyalty programs app, such as Appstle Loyalty & Rewards App.
With Appstle, you can build loyalty and rewards programs that are:
- Highly engaging and attract members
- Choose different types of loyalty programs
- Scale based on in depth performance analytics
- Gamify loyalty programs with exciting activities and rules
- Personalize loyalty points redemption for higher customer engagement
Install Appstle Loyalty & Rewards App on your Shopify store today!
