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customer data & Analytics

We help businesses unlock the full potential of their customer data to drive smarter decisions, deeper insights, and better marketing outcomes. From building your data strategy to activating predictive analytics, we design systems that turn raw data into business intelligence.

Our approach is practical, we integrate data across platforms, create useful dashboards, and set up scalable data warehouses. Our data scientist brings custom modelling where it adds value, while AI tools (from GA4 predictions to anomaly detection) are woven in to enhance accuracy and efficiency. The result? A clear picture of your customers, actionable insights, and a data foundation built for growth.

Data Strategy Development

We help define your end-to-end data approach, from collection and governance to activation across channels.

We ensure your data is structured, accessible, and actionable, laying the foundation for AI-powered insights and personalisation.

We evaluate your data maturity, tech stack, and customer journey. Using a mix of strategic frameworks and platform tools (like GA4, CDPs, and CRM systems), we define a roadmap. Our data scientist contributes AI-led approaches for future-proofing your stack.

Data Warehouse Design & Setup

We design scalable, cost-efficient cloud data warehouses to centralise and unify data.

Enabling faster access to reliable data and fuelling AI-powered reporting and modelling.

We use platforms like BigQuery or Snowflake and set up pipelines from web, app, CRM, and media sources. Our team can assist with schema design and automated transformations (ETL/ELT), with AI-based tools supporting data cleansing and anomaly detection.

Predictive Analytics

We use historical data to predict future trends, behaviours, and outcomes.

Allowing your business to proactively respond—optimising marketing, inventory, customer care, and more.

We deploy machine learning models to forecast outcomes such as sales, churn, or lead quality. We leverage platform-native AI and custom models developed by our data scientist depending on your business case.

Customer Segmentation & Audiences

We build actionable customer segments based on behaviours, value, and lifecycle stages.

Improving targeting, personalisation, and ROI across acquisition, retention, and re-engagement efforts.

We apply clustering and classification models to identify distinct customer groups using first-party data. AI tools assist in dynamically scoring segments based on real-time behaviour (e.g. churn risk, likelihood to convert).

Customer Lifetime Value (CLV) Modelling

We predict the long-term value of customer segments based on historical and behavioural data.

Guiding smarter investment decisions in acquisition, retention, and up-selling.

We train models using your purchase and engagement data to estimate future value per cohort. AI techniques enhance the accuracy and allow dynamic updates over time.

Reporting & Dashboards

We build dashboards that track key metrics across digital performance, from traffic and engagement to revenue.

Giving your team real-time visibility into what’s working and where to improve.

We use tools like Looker Studio and Power BI, integrating data from various platforms. AI features like anomaly alerts, natural language query (e.g. “show me yesterday’s top campaigns”), and predictive widgets are included where possible.

Data Activation & Integrations

We make your customer data usable across channels for targeting, personalisation, and measurement.

Bridges the gap between data and marketing results through AI-powered automation and segmentation.

We integrate platforms (like CDPs, CRMs, and ad platforms) to sync segments and actions. AI capabilities within these tools (like audience expansion or lookalike modelling) are enabled and customised to your needs.

Attribution & Media Mix Modelling

We analyse which channels contribute to conversions and how to allocate budget for best ROI.

Improving performance by optimising spend across touch-points based on actual impact.

We use both rules-based and data-driven attribution models (including AI-powered approaches like Bayesian or Markov chains). For mature clients, we can develop lightweight econometric models with automated scenario testing.

Let’s work together.

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