Up-Selling and Cross-Selling

Customer-specific Up-Selling and Cross-Selling are common methods in marketing and sales. By applying AI, suggestions can be calculated even more precisely and successfully.

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Up-Selling and Cross-Selling at a glance

Increase your revenue through effective Cross-Selling and Up-Selling campaigns

Challenge

When conducting up-selling or cross-selling campaigns, it is essential to target individuals who are highly likely to respond to the offer. Often, the selection process for such campaigns is still carried out manually using simple rules or heuristics, resulting in success rates that often fall short of expectations.

Approach

AI-based models for calculating the up-selling or cross-selling probability allow for the automated and precise identification of customers who are highly likely to respond to your offer. Historical customer data (e.g., from the CRM) is used to train the AI models. The advantage lies in the parallel analysis of various customer attributes and characteristics. Furthermore, the models can continuously learn and become more efficient over time.

Result

AI enables a very specific focus of up-selling and cross-selling campaigns on the most promising customers. This allows a shift from broad marketing actions to targeted campaigns. This use case can be excellently integrated into other tools, such as marketing automation tracks. Finally, your customers also benefit from AI-based approaches, as they are only presented with relevant offers.

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Data and AI open up new potentials

How Up-Selling and Cross-Selling work

In up-selling and cross-selling, the AI model learns which behaviors and characteristics were specific to customers in the past who responded to certain offers. It then individually analyzes which customers from the current customer base exhibit these same behaviors and characteristics. It is assumed that these customers are highly likely to accept the up-selling or cross-selling offer.

Benefits of AI-based Up-Selling and Cross-Selling

Automated Up-Selling and Cross-Selling

With artificial intelligence, you can continuously calculate more reliable response probabilities without manual effort.

Efficient campaigns

By applying AI, companies can more precisely target customers who are highly likely to respond to the offer.

Satisfied customers

With more precise target group definition, your customers receive only the offers relevant to them.

More revenue and higher margins

Naturally, selling additional or higher-value products also leads to an increase in revenue.

Interested? Let's talk!

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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