Data & Analytics
We collect, analyze, and utilize data to optimize the entire customer lifecycle — from acquisition and lead generation to upselling, cross-selling, and churn prevention.
The potential of data and analytics.
Data only generates real value when it's interpreted correctly and used to inform sound decisions. We believe that data is the key that unlocks success. “No data. No analytics. No value.”
Our services
What we offer in the field of data & analytics.
Data Architecture
We lay the technical groundwork so that that customer data doesn’t remain siloed. Using a scalable data architecture, we define how data is collected, structured, and activated from the source to the touchpoint. The result: personalized, relevant customer experiences.
Data Platforms & Integrations
We integrate various martech systems (CRM, marketing automation, e-commerce) into a unified data ecosystem. This allows us to break down silos, create real-time transparency, and manage touchpoints using up-to-date customer data. That drives consistent experiences and higher CLV.
Analytics & ML Modeling
We turn customer data into actionable recommendations. Using analytics and machine learning, we identify patterns, predict behavior, and automate decisions — from next-best offers and churn prevention to dynamic segmentation.
Business Intelligence Reporting & Dashboards
We distill marketing and sales data down to the essentials: dashboards and automated reports that show you in real time what’s working — and what isn’t — from campaign performance to customer journey to ROI. Instead of Excel messes and outdated numbers, you get clear insights for informed decisions.
What sets us apart
No data, no value.Nothing works without data and analytics.
"We make data and analytics truly actionable rather than merely available. To do this, we implement integrated systems that operate automatically — with a direct impact on customer ROI.
We understand data, use analytics strategically, and consistently align both with customer value. In doing so, we combine consulting expertise, technology, and data intelligence into an approach that not only makes companies more efficient but also transforms them into sustainable, future-ready, data-driven organizations.”
Robert Schumacher, Director
CommonChallenges
Our customers aren't alone in facing these challenges. That's why we've worked to find the right solutions.
Fragmented customer views
Customer data is scattered across CRM, marketing automation, e-commerce, customer service, and other systems. No one has a complete overview of the customer journey: not marketing, sales, or support.
This is what we mean by impact.
More about us<15%
Expenditure for upselling and cross-selling
>30%
Reduction in attrition rate
25%
Increase in new customer acquisition rate
2x
higher qualified pipeline
Our references
Companies get data analysis that delivers real value with gateB.
Development of predictive models to identify cross-sell potentials and next best actions. Targeted support of B2B sales and customer service through prioritized recommendations that generate measurable impact: a revenue increase of 15 percent.
Swiss Post Ltd.
Design and implementation of a marketing analytics dashboard for different stakeholders and information needs. A unified KPI logic, role-based views, and clear insights enable faster decisions, and the tailored use for each target group ensures high acceptance.
Sika Switzerland AG
Design and configuration of a BSI solution including customer journeys or "stories," design implementation, data modeling, and interface connections. Implementation within six months delivers rapid ROI while integrated predictive models significantly reduce churn rates through precise scores.
Transgourmet
Development of predictive models to maximize fundraising revenue paired with the creation of a campaign dashboard for evaluation and optimization. Data-driven segmentation enables more precise targeting while focused management increases campaign impact.
Caritas Switzerland
Our software partners
We work with leading teams.
Sarah Iskander
Managing Director USA, Member of the Executive Board
We look forward to meeting you.
Our insights
Read the latest from our experts.
Frequently Asked Questions
Everything you should know about:
Why do so many enterprises struggle with a "fragmented view" of their customers?
A fragmented customer view happens when data lives separately across CRM, marketing automation, e-commerce, and service platforms, so no single team sees the full journey. gateB solves this with unified data architecture and platform integration that break down these silos and create real-time transparency across the customer lifecycle. gateB also consults clients on how to set-up a scalabe and AI ready data foundation and implements data platforms that allow to break down silos, speed up data processing and enable people and agents to take informed decisions.
What is the actual business case for investing in data architecture and analytics?
The business case is direct: gateB client outcomes include up to 2x higher qualified pipeline, over 30% reduction in attrition, and 25% higher new customer acquisition after implementing proper data architecture, integrated platforms, and predictive analytics. Without this foundation, personalization, forecasting, and churn prevention rely on guesswork instead of data.
What business value is to be expected when predictive analytics is applied to customer data?
gateB consults clients to find the highest value use cases to turn data into business value that’s measurable. Data driven value creation can be leveraged throughout the customer life cycle. We can see double digit percentage increases in conversion in the early funnel, when applying personalized messaging and targeting. We have been able to reduce customer churn with a data driven approach by more than 25% for clients such as Transgourmet or POS Malaysia resulting in revenue retentions that paid for the project within months.
What is the difference between BI reporting and predictive analytics?
BI reporting and dashboards show what already happened, such as campaign performance, journey metrics, and ROI in real time, while predictive analytics and machine learning forecast what is likely to happen next, such as churn risk or next-best-offer. gateB implements both, since dashboards without predictive models only describe the past, and predictive models without dashboards are hard to act on operationally. gateB brings deep data modelling competence that work closely or even embedded in clients data teams to create data practices that can last and profit from continuous learning and optimization approaches.