Thoughtful, educated, questioning, rigorous

We are

Marketing Investment Quants
We remove wastage from the process of attracting and keeping your customers.

Using our consumer behaviour prediction models


We build consumer behaviour models from corporations’ internal, partner and public data sources, sometimes so-called ‘big data’ and frequently a mixture of smaller, more structured data.
With different layers of data sources, we create insight and competitive advantage for our clients, often by testing against predictive models, whether from micro insight for budget optimisation or macro for consumer trend observations.
We sample from the best academic economic thinking and alternative perspectives on consumer prediction models. We apply it to common market statistical analysis and predictive modelling for consumer control group ‘test and learn’ disciplines.
We have experience in applying different model types for more relevant domain and industrial sectors. For instance, the Consumer Packaged Goods industry is often focused on econometric modelling, albeit it largely, offline. Alternatively, the eCommerce transactional retailers, travel and utility industries are concerned with ‘attribution models’, whilst in B2B, we often deploy propensity models to prioritise sales contact activity.
We continue to test our belief that a small raft of models trumps one or two algorithms in predicting scenario planning, despite additional complexity brought to projects.


We focus on the exchange of ideas and different perspectives between experienced mathematicians and market strategists; a combination that delivers our clients vital competitive advantage repeatedly.  We encourage members of our team to bring fresh progressive perspectives to model building.  Our team consists of…

  • Data Analysts
  • Strategists
  • Technologists
  • Project Managers
  • Economists
  • Statisticians
  • Engineers
  • Operations Director

Our industry domain experts have experience in media buying, CRM, social media network analyses, consumer acquisition and retention strategy. Typically, they have a minimum of 10 years experience in the field and C-suite advisory skills.

We benefit from our geographical location allowing us to access some of the world’s best thinkers on model design and data manipulation. Members of our team are University of Cambridge alumni, providing close links to industry collaboration. We also actively participate in the local data and modelling network meetings for the exchange of perspectives  and innovation.


Use our team for additional capacity or unusual challenges

Organisational Capacity

Many of our clients have Business Intelligence teams and data scientists amongst their customer insight teams, but they use us for rapid deployments or addressing discrete challenges. Equally, some clients chose to delegate the provision of data-driven competitive advantage to us as a trusted partner.

In both situations, we focus on productivity in optimising budgets and reducing waste. Our pre-occupation with productivity from the agile method, means that we deploy our people where and when their skills are needed, so you are not delayed or paying for expensive people to ‘sit on the bench’ or awaiting client feedback.

We will save your company a significant amount of time (or agency costs) in a week, using our semi-automated process to:

  • Prepare the data
  • Analyse it
  • Find insights
  • Recommend actions against your KPIs

Using our analysts recommendations, we will accelerate your data-driven decision making to a state of persistent testing.

We aim to provide knowledge transfer in most areas where we can help clients to become more data-driven in their decision making by driving down the Test & Learn cycle time to create iterative incremental optimisations more frequently.

Most of our models and underlying technology infrastructure are ‘always on’  which means that a great deal of time in data preparation and engineering is saved in the provision of our services.


Some clients have data-engineering teams, some chose to rely on us to integrate the core infrastructure required for data-driven decision making. We call this the ‘data backbone’ of any program of on-going optimisation. If required, we help select the best in class technology, especially with ETL technologies, we do the integration, stabilise the APIs, assemble DMPs and data warehouses, build single customer views, dashboards, etc. We are fundamentally, always trying to remove the baggage for our clients to focus on the model refining that delivers competitive advantage.

Elegant solutions require deep technical understanding to simplify the operation by clients and our own team. Our machine learning, semi-automation technologies, data-preparation algorithms, etc. all serve to reduce time spent preparing data and maximise time spent opting the model.

Finally, some of the so-called ‘big data’ challenges we face require significant computational power and for this, we can call on the University of Cambridge’s high performance computer cents, to crunch through datasets.

Tell us a little about yourself

We love a good challenge. Whether you’ve got a question, or a hypothesis you want proven or disproven, we’d love to explore it with you.

3 Laundress Lane

Email: contact@cambridgedata.com

Call: +44­­ ­­(0) 1223­ 398 333

via this form.