LDE

Loyalty
drive enterprise

Software driven by data & artificial intelligence in order to build long-term relationships with customers

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

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