Lead Scoring

Acquiring new customers is one of the central tasks in sales. Modern AI systems allow for precise estimation of closure probabilities and offers for your leads, thus reducing unnecessary acquisition efforts.

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Lead Scoring at a glance

Use Lead Scoring for data-driven evaluation of your leads

Challenge

Acquiring new customers is one of the biggest challenges for sales and marketing teams. When addressing new customers, available resources must be used as efficiently as possible. Especially in B2B sales, the efforts required to acquire new customers can be very high. Accurate evaluation and prioritization of potential leads is a crucial success factor.

Approach

With AI-based methods, you can evaluate the closure probability of specific leads in a data-driven and automated manner. Machine learning is used to learn from historical data which factors and characteristics of a lead influence this probability. This information is then used to calculate a score for current leads.

Result

The results of Lead Scoring can be used to prioritize specific leads and optimally utilize available resources. This prevents your sales teams from investing unnecessary effort in unpromising leads. At the same time, it ensures they can focus on the most promising contacts. To maintain established workflows, this information can also be directly integrated into your CRM systems.

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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R
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Tensorflow
Python
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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 Lead Scoring works

In lead scoring, the AI model learns which behaviors and characteristics were specific to leads that eventually made a purchase in the past. It then analyzes which of the current leads exhibit these behaviors and characteristics, indicating a high likelihood of interest in your product or service.

Benefits of AI-based Lead Scoring

Automated evaluation of leads

With Data Science and artificial intelligence, companies can calculate the closure probability of their leads in seconds.

Focus on promising leads

Sales teams can concentrate on acquiring the most promising leads.

More closures

AI-based Lead Scoring helps sales teams reach their goals faster, more frequently, and more efficiently.

More Insights

Lead Scoring provides insights into the motivations and characteristics of potential customers.

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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