KlikNKnow
Customer
Loyalty
Analytics
System
Unlock smarter decisions and stronger customer relationships. Our customer loyalty analytics system combines AI, real-time insights, and powerful segmentation to help you track key metrics, increase retention rates, and drive the business impact of loyalty. This analytic system with a centralized loyalty marketing dashboard, real-time analytics, and easy-to-understand loyalty program metrics turn customer data into actionable insight.
Do you really know your
members and customers?
members and customers?
Customers did not complete their purchase.
Members are inactive and unengaged with your brand.
Lack of usable insights into customer behaviour.
Lack of repeat purchases or returning customers.
You’re unsure how to measure your loyalty program performance.
OUR SOLUTIONS
Customer Tagging System for
Loyalty Insights and Targeting
01 Custom Tags
Create your own tagging criteria to define and identify specific customer groups based on your business needs—for example, tagging customers who joined through a special campaign.
02 Behavior-Based Tags
Use loyalty member behavior to categorize customers by their actions—such as purchase frequency, loyalty program engagement, or repeat order patterns. This data feeds into our loyalty platform software, enabling deeper customer data analysis and predictive customer analytics.
03 Demographic-Based Tags
Segment customers by gender, age, income level, location, or education background. These demographic tags help craft personalized marketing strategies and align content with audience profiles across your loyalty program campaigns.
04 Customer Preference-Based Tags
Identify and group customers by their personal interests or preferences, enabling personalized product recommendations, marketing campaigns, or feedback requests.
USE CASE
E-Commerce
Customer Behaviour
Customer Behaviour
An e-commerce company can use tags like “Frequent Shoppers” or “Discount Lovers” to target specific segments with personalized promotions. This approach boosts engagement, deepens customer insights, increases conversion rates, and makes loyalty program analytics more effective.
Special Event Targeting
Invite customers tagged with “30 to 35 years old” to a Parenting & Family Workshop. This event is ideal for new parents to learn infant care tips or explore curated baby products based on their child’s age.
Loyalty Tier Targeting
Target members tagged as “Platinum” with exclusive early access to a new product launch. This shows appreciation for their loyalty and strengthens their connection with the brand.
Customer Segmentation
and Loyalty Data Analysis
01 Customer Segmentation
Group customers by behavior, supports both manual and AI-driven segmentation based on customer acquisition, purchase history, engagement, tags, location, and more. Combine analytics tools and tagging to highlight key metrics and deliver tailored messages for each segment, boosting engagement and driving better results.
02 RFM Segmentation
Enables businesses to categorize customers according to their Recency Score (how recently a customer made a purchase), Frequency Score (how often a customer buys), and Monetary Score (how much a customer spends). Help businesses identify high-value customers, engagement strategies, and improve overall marketing effectiveness.
03 Segment Movement Tracking to Reduce Churn
Tracks customer movement across segments, such as from loyal to churned customers, based on their level of activity and engagement. Allows brands to analyze appropriate actions, trigger targeted marketing automation messages, and deliver relevant content to retain valuable customers and attract potential ones.
04 Cross-Platform Segmentations
Aggregates data from various platforms such as websites, email, SMS, WeChat, Facebook, WhatsApp, Line, and more, to reveal how each customer interacts across different channels.
USE CASE
AI-Driven Member Profiling
AI can identify customers who drink latte as “Lactose Tolerant” or “Milk Lover” and those who prefer Americano as “Black Coffee Lover”. This analytics data gives cafes valuable customer insights for customized offers, helps coffee shops better understand member preferences and tailor their offerings accordingly.
Campaign-Specific Segmentation Selection
Enable behavioral segmentation, efficiently organize membership campaigns by targeting specific segments such as gender, age, product preferences, and demographics. For example, a healthcare company can focus on middle-aged customers, while a fashion brand can target women.
Social Content Specific
Deliver relevant knowledge and information to targeted customer groups with customer bahaviour analytic. For instance, a baby-focused business can share tips on newborn care and sleep schedules with new parents, while a supplement company can provide healthcare and Medicare enrollment information to seniors.
Measure Customer Value
Through Loyalty Analytics
01 Customer Lifetime Value Tracking
Customer Lifetime Value (CLV) measures the total revenue a customer is expected to generate throughout their relationship with a business. By analyzing purchase history, loyalty participation, browsing behavior, and signs of churn. These insights support repeat customer analysis, high-value customer identification, and smarter customer retention strategy development. Track how your loyalty program metrics evolve over time and build long-term loyalty with data to back every move.
02 Cross-channel Survey
Use ready-made survey templates to gather customer feedback across different platforms like WeChat, Whatsapp, Email, SMS, Facebook, and more. Utilize location targeting to reach the right people in the right places.
USE CASE
High Value Customers Segmentation
Allows businesses to pinpoint high-value segments such as VIPs, to deliver premium content and offerings. An airline can extend benefits like priority boarding, lounge access, and complimentary seat upgrades to their high-value VIPs.
Identifying High Churn Risk Customers
The customer loyalty analytics system identifies customers with low engagement rate or make purchases. A telecommunications provider can target customers with low value and a higher likelihood of ending their contract by offering tailored discount promotions. This helps convert them into high-value customers while effectively reducing churn.
Product Enhancement Feedback Collection
Use standardized survey templates to gather customer satisfaction feedback. These insights help identify customer value while guiding product improvements at the same time via multiple channels.
Business Predictions and
Data-Driven Loyalty Strategy
01 Single Customer View for Personalized Marketing
A consolidated profile that includes customer details, tags, RFM analysis, preferences, and purchase history. Understand customer behavior and preferences for more effective personalized marketing.
02 Marketing Performance Evaluation
Analyze the performance of both online and offline marketing efforts such as EDM (open rate, click-through rate), paid media (Facebook, Instagram, WhatsApp), and events (registrations, conversions). Ensure advertising effectiveness and better control of marketing budgets.
03 AI-Driven Recommendations
Using AI models to predict a customer’s next likely purchase, optimal timing, and relevant product suggestions, enabling businesses to plan highly targeted promotions. AI can also conduct market basket analysis using shopping cart data to recommend complementary products and increase cross-sell opportunities.
USE CASE
Customer Preference Prediction
AI analyzes past purchases, browsing habits, and style preferences to group customers into segments such as “Frequent Shopper,” “Seasonal Shopper,” and “Preferred Formal Style.” Using these insights, the brand offers personalized promotions, like 50% Off formal suits for those who prefer formal wear or summer clothing suggestions for seasonal shoppers. This leads to more accurate and effective marketing.
Content Interest
by Entry Channel
by Entry Channel
The CRM maps customer content interactions based on their first touchpoint. Customers from Instagram often engage with visual lookbooks and product launches, while email-origin customers prefer detailed product guides and reviews. These preferences are recorded in the Single Customer View to tailor future outreach.
PROVEN
LOYALTY WINS
Explores how businesses use our Customer Loyalty Analytics System to identify high-value customers, reduce churn, and optimize loyalty campaigns. With real-time metrics, behavior-based segmentation, and AI insights, they turned scattered data into personalized actions that boosted retention and repeat sales.
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We’re committed to fueling business growth
and enhancing customer retention.