TRUSTED BY
FEATURES
Capabilities that Drive Loyalty
Customer data platform
By consolidating customer data from various sources, we can gain deeper insights into their preferences and tailor our products and services accordingly. This centralized approach, combined with real-time data analysis and AI-powered customer segmentation, enables us to deliver exceptional customer experiences and identify our most valuable customers.
Customer loyalty platform
A comprehensive tool to create tailored membership programs and boost customer engagement by providing personalized experiences and efficient management tools.
Key benefits include unified customer profiles, self-service marketing tools, increased program effectiveness, flexible offer management, targeted campaign management, and insights into individual customer engagement.
Offer / promotion and bostters creator
We help businesses increase sales by creating targeted offers and integrating with their systems. Our AI helps optimize offers for different customer groups, and we can conduct controlled experiments to measure effectiveness.
NPS
NPS measures customer loyalty by answearing question “how likely they are to recommend a brand”. Businesses use NPS to identify areas for improvement and reward loyal customers, ultimately strengthening their customer base.
Mobile / www CMS
Our mobile and web loyalty system offers a seamless customer experience, allowing for easy points accrual, redemption, and tracking across multiple channels.The mobile and web integration of our loyalty system provides valuable data insights that help us tailor marketing campaigns and optimize customer retention strategies.
Content and offer personalisation
We offer tailored recommendations, unique products, and targeted promotions for each customer segment to create a highly personalized shopping experience. Effective campaign management: We monitor customer engagement and manage campaigns across all or selected channels to ensure maximum impact and optimize customer satisfaction.
*supported by Ariadne AI
An advanced tool that allows marketers to personalize communications across all digital channels to maximize utilize the potential of available offerings. ARIADNE “knows” how to find the balance between satisfaction and sales (frequency of communication versus incremental sales growth).
Insights & Analytics
You can use LDE analytics to identify high-value customers, understand their purchasing behaviors, and tailor marketing strategies to maximize customer lifetime value. By analyzing loyalty program data, managers can measure the effectiveness of promotions, evaluate the ROI of loyalty initiatives, and make data-driven decisions to optimize the program's performance.
API
Our API offers a flexible way to integrate our loyalty system with existing business applications, allowing for seamless customer data management and personalized rewards. By leveraging our API, you can easily customize loyalty programs to meet specific business objectives, driving customer engagement and increasing sales.
INDUSTRIES
Tailored to the specific needs of complex industries
Challenges
Make use of returning customers’ potential
Distributed tools to support individual activations
Problems with using the collected customer data
Anachronistic programs and ways to engage customers
High competitiveness and low margins
Growing activity of global players
Lack of standardized experience
Solutions
Recording and analysis of each transaction
Digital loyalty solutions for smartphones
Personalized email, text message, push communications
Using gamification to engage customers
Automatic detection of changes and trends
Challenges
Increased number of visitors
Difficulty in identifying customers
No connection between offline and online transactions
No omnichannel view of the customer path
Ineffective pricing and product range management
Problems with using the collected customer data
Poor real-time campaign execution
Solutions
Recording and analysis of each transaction
Combining online and offline channels
Offer management to create campaigns and reward customers based on AI recommendations
Using data to build the best customer experience across preferred communication channels
Cross-sell and up-sell recommendations
Challenges
Lack of motivator to increase basket value
High market diversity and fear of losing customers
Lack of differentiators that work for the brand
Increase in consumers' environmental awareness
Transfer of many transactions from offline to online
Lack of actions to improve customer experience
Solutions
Recording and analysis of each transaction
Combining online and offline channels
Identifying customer preferences in brick-and-mortar stores
Real-time campaign execution
Visual recommendations of similar products
Challenges
Increasing demands on service quality
Ineffective online customer acquisition tactics
Anachronistic programs and ways to engage customers
The rise of direct delivery
Low customer return rate
Solutions
Recording and analysis of each transaction
Digital loyalty solutions for smartphones
Integrated campaigns between restaurants
Building an engaged community through targeted offers
Checking the level and type of engagement of individual customers
Challenges
Customers are moving their services to other operators
Lack of regular customer interaction
Strong need for personalization
Data integration with outdated and distributed tools
Poor real-time campaign execution
Investment in multi-channel communication platforms that combine AI with traditional service
Solutions
Recording and analysis of each transaction
Alignment of sending time with customer life-cycle and segment membership
Ranking to identify the most engaged customers
Multichannel recommendations
Automatic planning of engaging loyalty offers based on customer preferences
Challenges
Customers are moving their services to other operators
Lack of regular customer interaction
Strong need for personalization
Data integration with outdated and distributed tools
Poor real-time campaign execution
Investment in multi-channel communication platforms that combine AI with traditional service
Solutions
Recording and analysis of each transaction
Alignment of sending time with customer life-cycle and segment membership
Ranking to identify the most engaged customers
Multichannel recommendations
Automatic planning of engaging loyalty offers based on customer preferences
Challenges
Distributed tools to support individual activations
Ineffective online customer acquisition tactics
Problems with using the collected customer data
Highly competitive spare parts’ market
Poor mapping and understanding of customer journey
Identification of the vehicle owner and also the vehicle user
Management and selective exchange of data between dealers
Loyalty-building and keeping in touch
Solutions
Recording and analysis of each transaction
Combining online and offline channels
Automatic detection of changes and trends
Real-time campaign execution
Personalized promotions and offers
Loyalty-building and keeping in touch
Challenges
Lack of proper discount management
Transfer of many transactions from offline to online
Increase in consumers' environmental awareness
Identification of the transaction, not the customer
Distributed tools to support individual activations
Solutions
Recording and analysis of each transaction
Combining online and offline channels
Cross-sell and up-sell recommendations
Personalized promotions
Offer management to create campaigns and reward customers based on AI recommendations
Challenges
Difficult to identify occasional vs regular customers
Identification of the transaction, not the customer
Distributed tools to support individual activations
Low customer loyalty and transaction frequency
Difficulty in building cross-traffic
Increasing demands on service quality
Lack of standardized experience
Solutions
Recording and analysis of each transaction
Facilitated customer retention procedure
Data segmentation including regular and occasional customers
Using gamification to engage customers
Integrated campaigns between restaurants
Activating customers beyond the purchase
Automatic detection of changes and trends
RECOGNITIONS
Ariadne AI
Ariadne focuses on maximizing incremental loyalty revenue by continually adjusting frequency and communication with the needs of specific customer microsegments. It is embeded in LDE as a continuously self-learning system for streamlining activities in the areas of marketing automation, CRM, reporting or building unique offers.
Hyperpersonalization
ARIADNE operates on the basis of based on microsegments. These are created dynamically for each period
Autocalibration
The AI models used inside ARIADNE automatically and continuously adjust to the current situation and consumer behavior
No-code
ARIADNE does not require the user to have any skills in the areas of programming, data science, statistics
Behavioral based
ARIADNE is based on the fact that the the consumer says the most and truest thing about themselves through their behaviors
Multi-faceted prediction
Of consumer behavior made possible by advanced models. AI Ariadne does not attempt to maximize (e.g., open rate) or minimize (e.g., unsubscribe rate) simple metrics
BENEFITS
Boost your current Loyalty Program – regardless of its type
Points loyalty program rewards customers for purchases or activities with points that can be exchanged for further benefits or in-kind rewards. The program incentivizes purchases at a single store over the long term and ensures higher loyalty.
Convenient and easy to budget
High perceived value
Easy to use
Incentivized customer identification
In a tiered loyalty program the customers, who make purchases and engage with the brand, advance to higher levels of membership and discover associated benefits. The program allows you to strengthen your relationship with your customers and keep them interested.
Long-lasting and gratifying relationship
Creation of a highly-targeted experience
High barrier to exit the program
Benefit levels differentiate the brand from the competition
In a rewards loyalty program the members receive prizes, discounts or vouchers for subsequent activities recorded on their loyalty card. Attractive prizes are a motivation to make further purchases.
Support for brand building
Easy to manage
High perceived value
Custom-fit customer experience
Cashback loyalty program offers customers a partial cash back for their transactions in the form of a discount they can use on their next purchase. In this way, the brand encourages repeat visits to its point of sale.
High perceived value
High customer return rate
Easy to use
Building customer engagement
Gamified Loyalty Program is a popular way to increase customer engagement in a loyalty program. Completing assigned tasks gives the participants a sense of satisfaction and increases purchase motivation, while making it easier for the brand to achieve business goals.
Motivation for periodic actions and activities
Engagement beyond transactions
Building positive experience
Encouraging customers to identify
Hybrid Loyalty Programs allow for any combination of program mechanics. Combining multiple elements can be the key to creating the perfect club member solution that fits your company's business strategy. Introducing hybrid loyalty programs is the optimal solution to encourage as many customers with different tastes as possible.
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Wide range of opportunities
Increase in various KPI values
Solutions flexibility
Tailored to customers’ needs and expectations
Coalition Loyalty Programs combine the benefits of multiple brands in one place. This increases the number of customers by encouraging them to take advantage of offers from different outlets simultaneously. The solution reduces service costs and grows the customer database, which is the first step to better personalization of offers and detection of new trends.
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Increased number of visits and repeat purchases
Customer ID allows you to recognize the customer at other points
Omnichannel customer profile viewpoint
Higher attractiveness due to integration of multi-tenant offers
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