Applied Marketing Data Science
Advanced analytics that make marketing decisions easier.
Once your data is connected and reliable, the next step is to use it in smarter ways. Applied Marketing Data Science uses advanced statistical methods and machine learning to answer harder questions, predict future outcomes, and reveal opportunities that standard reports cannot provide.
At MarketingLens, our data science team works alongside our marketing strategists so every model, forecast, and recommendation directly supports your growth goals.
Why Applied Marketing Data Science Matters Now
Many marketing teams have large amounts of data but struggle to extract timely and actionable insight. Without deeper analysis, opportunities are missed, and budget decisions are based on partial information.
Applied data science helps you:
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Predict which leads are most likely to convert and prioritise your spend accordingly
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Understand the real contribution of each marketing channel to revenue
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Identify high-value customers early and improve retention
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Detect patterns that improve targeting, messaging, and offers
This approach gives you clarity about what’s driving results and where to focus next.
How We Apply Data Science to Marketing
We design each project around your business model, available data, and commercial priorities. The techniques are advanced, but the outcomes are straightforward.
Conversion modelling and lead scoring
Forecast which leads are most likely to buy and use those scores to improve bidding, guide follow-up, and strengthen sales attribution.
Attribution, incrementality, and marketing mix modelling
Measure the impact of each channel on sales by combining online and offline data. We use both rules-based and statistical models to give you a complete, privacy-focused view.
Predicted customer lifetime value
Identify customers with the highest revenue potential early and adapt acquisition strategies to maximise long-term profit.
Data-driven segmentation
Use statistical clustering to uncover valuable customer groups. Apply these directly to ad platforms for more effective targeting.
Market basket analysis
Find product combinations that increase cart value. Use the findings for upsell campaigns, recommendations, or product bundling.
Specialised modelling
For more complex challenges, we also offer forecasting, optimisation, recommendation engines, and network analysis.
Data Science with Commercial Impact
We build models that are practical, explainable, and aligned with your growth objectives. Every project includes a clear plan for applying the results and guidance on how to use them effectively.
When to Focus on Applied Data Science
This service is especially useful when:
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You want to go beyond standard analytics and dashboards
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You need to focus investment on the most profitable opportunities
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You require better attribution in a multi-channel, privacy-first environment
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Your product range or customer base is large and complex
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You need predictive insight to guide strategic planning or investment decisions
Ready to See What Your Data Can Really Do?
Book a strategy session with our team. We will review your current data, identify where advanced analysis could have the greatest impact, and outline how we would approach the project.
From prediction to action, we make data science work for marketing.
Where Data Meets Decisions
Get in touch today to schedule your free strategy consultation.
BERTI B.
Head of Digital