Predicting the best offers for customers

Data-driven marketing is the future. How can decisions about the right offer, the right time and the right channel be made? Already today data support us in making the right decisions.

You can do the same for your CRM and marketing communication. But completely automated – and in real time. Completely geared to the customer and his needs, to optimal value control and cost reduction, data-driven offer logics are the next development step in every company. No matter whether B2C or B2B, whether highly standardised products or custom tailoring. Smart solutions also help to make your customer relationships even more sustainable and to exploit added value.

Data-driven marketing is the future. How can decisions about the right offer, the right time and the right channel be made? Already today data support us in making the right decisions. You can do the same for your CRM and marketing communication. But completely automated – and in real time. Completely geared to the customer and his needs, to optimal value control and cost reduction, data-driven offer logics are the next development step in every company. No matter whether B2C or B2B, whether highly standardised products or custom tailoring. Smart solutions also help to make your customer relationships even more sustainable and to exploit added value.

The goal of data-driven offer logics (also known as Next Best Activity/Offer) is to provide the customer with an individual and at the same time value-enhancing product recommendation when contacting the company. For this purpose, the purchasing behavior of the customer base is analysed and based on the results, the purchase probability of each customer for relevant cross-selling products is calculated. The most promising products can then be offered to the customer during the next contact with the company’s customer service or in the log-in area on the website.

In the long term, Next Best Offer not only helps to increase customer value, but also to strengthen the relationship with the company by ensuring that marketing activities are highly individualised and utilised at the right time.


Benefits

  • Increase in value of the customer base through maximum absorption of the willingness to buy

  • Cost optimisation through highly automated processes

  • Increase of data availability and quality through fully automated data feedback

  • Reduction of channel costs and optimisation of commissions through faster and more targeted offer management

  • Increase of sales figures in the sales channels

  • Increase in customer profitability (Customer Lifetime Value)

  • Introduction or optimisation of sales in service

  • Sustainable increase in turnover of up to 20%

  • Cost reduction in the channels due to shorter consulting time and low drop-out rates

Ansprechpartner: Stefan Meyer-Spickenagel
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