Selected industries

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:

  • 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  • Data integration with outdated and distributed tools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:

  • 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:

  • 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:

  • 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

Challenges:

  • Digital transformation
  • Highly competitive market
  • Data integration with outdated and distributed tools
  • No omnichannel view of the customer path
  • Problems with using the collected customer data
  • Strengthening vigilance and preventing scams

Solutions:

  • Recording and analysis of each transaction
  • Alignment of sending time with customer life-cycle and segment membership
  • Customer service automation based on synchronized data
  • Multichannel recommendations
  • Detection of changes and trends, including customer abuse

Ready to cooperate?

If you are interested in our offer, have a brief for us or you want to know how we can support your business, write to us.
© 2021 Loyalty Point sp. z o.o.