Data science

Collecting and processing large volumes of data to create bespoke marketing solutions

We live in a world where data has become one of the single most valuable resources on our planet. Using data in the right way can be hugely valuable, and in the realms of marketing can provide companies with insight, strategies, and solutions to more challenging tasks and problems.

Our in-house team specialises in collecting and processing large volumes of data – be that numbers, text, images, audio or other formats – and leveraging that data to provide bespoke solutions to our client’s needs.

Project & market scoping

Starting with a clear understanding of the problem and anticipated output solution, as well as the challenges to overcome and potential limitations. This will include understanding the resources available in terms of a working dataset (or building one from scratch) and how it can be augmented to achieve a desired output.

Dashboards & reporting

Putting insights into action and using bespoke dashboards and reporting software to monitor performance over time. This is to check our model is working as expected with real word data (think under/over fitting) and having the desired effect.

Data visualisations & insights

Exploratory analysis and investigations on data, to discover patterns, remove anomalies and check hypotheses.

This is done through the use of summary statistics and graphical representations.

Data mining & pre-processing

Automating the collection of data through in-house tools, third party platforms and client databases.

Data before pre-processing is often messy and patchy – it needs to be processed and normalised before being put into action.

Data warehousing

Constructing high volume data capacity that can scale to meet your organisation’s marketing and customer support needs.

Data-mining & pre-processing

Using both supervised and unsupervised machine learning models to generate a desired output, prediction or insight. This is centred around classification, clustering, regression and dimensionality reduction. For example, classifying image alt text to optimise images (classification), grouping customers based upon their booking habits to create custom marketing plans (clustering) or forecasting seasonal sales (regression).

Case studies


The team at MADE.COM knew their product catalogue had huge search potential, but they didn't have the data to properly assess it, or the means to get the data on the scale they needed - which is where we came in.


We’ve worked with Expedia since 2014, with an evolving remit across both SEO and content. Find out how we carried out one of the most ambitious projects the partnership has seen so far - Large-scale keyword research and content strategy in five languages.


The Hotel Guru is a successful hotel curation website that came to us when they suffered a drastic drop in search rankings and traffic. The team tasked us with identifying what the cause of their ranking drop was and to devise a strategy to recover their position.


TravelSupermarket needed help producing multiple blog articles for 13 of their most popular European summer destinations. They wanted the blogs to be informative, factually accurate, and most of all, inspire travellers.


Discover how we work with EPS to produce an extensive range of B2B travel content across multiple formats and styles.


Find out how we helped Spire Healthcare with their digital transformation by developing a SEO and content strategy.


How we helped Quidco boost visibility and drive organic traffic in-depth keyword research and content strategy for 100 long form merchant pages.