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Our Predictive Intelligence Methodology

Translating complex data into meaningful marketing actions

Derivanteq’s process blends deep analytics, automation, and machine learning to help users make smarter marketing decisions. Our goal is clear: strategic optimisation at every stage, from insights to execution.

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Meet Our Expert Team

A diverse group unified by expertise in marketing technology and analytics

Amy Jennings

Amy Jennings

Chief Data Officer

Data Strategy
Experience
Location
London

Expertise

Predictive Modeling
Data Integration
ML Deployment
Process Automation

Amy leads platform strategy, guiding the design of custom analytics to drive measurable outcomes.

Skills

Leadership Data Analysis Problem Solving Innovation
Raj Patel

Raj Patel

Head of Product

Product Vision
Experience
Location
Manchester

Expertise

Platform Innovation
User Experience
Customisation
Cross-Channel

Raj ensures Derivanteq’s tools are intuitive and forward-thinking, always informed by client needs.

Skills

Product Design Agility Communication Analysis
Helen Moore

Helen Moore

Lead ML Engineer

ML Solutions
Experience
Location
Bristol

Expertise

Algorithms
Data Engineering
Insights
Supervised ML

Helen manages machine learning integration, focusing on scalability and transparency of campaign insights.

Skills

Coding Collaboration Problem Solving Critical Thinking
Thomas Green

Thomas Green

Client Success Manager

Client Care
Experience
Location
Leeds

Expertise

Support
Onboarding
Communications
Solutions

Thomas supports client onboarding, ensuring a smooth experience and ongoing communication.

Skills

Empathy Organisation Service Responsiveness

How Our Process Works

Turning marketing data into actionable, optimised decisions

1

Aggregating Your Data Sources

We connect with your existing marketing and analytics platforms for unified data collection across all channels.

Minimal disruption to your current workflows.

2

Analyzing Campaign Performance

Our system highlights strengths and underperforming areas through robust analytics and visual dashboards.

Provides a true picture of marketing impact.

3

Predictive Modeling and Insights

Machine learning models forecast the effectiveness of each campaign and channel in advance.

Empowers more strategic decision-making.

4

Automated Optimisation Actions

Budgets and resources are reallocated automatically toward channels showing the best metrics.

Enables ongoing adaptation and improvement.

How We Compare to Others

Understand what sets Derivanteq apart in the market

Key Features
Feature highlights
Derivanteq
Proprietary machine learning models and real-time budget optimisation
Other Marketing Platforms
Standard analytics with manual adjustments
Predictive Campaign Engine
Forecasts outcomes before spending begins
Automated Budget Redistribution
Adjusts channel spend automatically
Unified Analytics Dashboard
Combine all channels for clear insights
Transparent Custom Reporting
Generate tailored analytics reports
Proactive Channel Recommendations
Suggests adjustments using performance
Total Features
5
2

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