We provide solutions and expertise in data science, statistics and analytics.
We specialise in work involving marketing and customers – using research and surveys, customer databases and user data.
Our clients include research agencies, media agencies, consultancies and brands. We’re very experienced at partnering with agencies and supporting them with designing and winning projects, as well as delivering them.
Our experience encompasses a wide range of business issues - such as segmentation, product & offer development, pricing, advertising and customer retention - across industries including FMCG, Retail, Technology, Media, Digital, Transport and the Public Sector.
Above all, we provide solutions that are not only robust & mathematically sound, but that are also carefully designed to meet the needs of the project or business issue.
Understanding the drivers of customer behaviour - acquisition, loyalty & retention, satisfaction & advocacy. Predicting and simulating behaviour under new scenarios, to drive business performance.
Combining rigorous analytics with deep expertise to deliver robust, intuitive market segmentations that provide the foundation for successful targetting, communication and product strategies.
Evaluating past perfomance and effectiveness with marketing mix and attribution models. Predicting future performance with market sizing, time-series analysis and pre-launch sales forecasting.
Applying state-of-the-art reseach methods like Conjoint analysis and Max Diff to understand consumer preferences and inform decisions around pricing, product development, branding and claims.
Visualising data to reveal patterns - perceptual maps for brand positioning, preference mapping to relate sensory characteristics to product performance and geo-mapping to understand outlet-level trends.
Analysing large and unstructured data - extracting themes and sentiment from text, modelling social graphs and creating complex predictive models with approaches like Neural Networks and Deep Learning.
Finding sweet-spots across a range of marketing issues, such as product ranging or media laydown with TURF analysis, or key investment points in the customer journey with structural equation modelling.
Identifying the most profitable or responsive customers to target. Developing recommendation engines to match individual customers with the most appropriate products, content or advertising.
Advising on data or analytics strategy, supporting an internal team, or designing a bespoke system or algorithm - we’re excited about creating solutions that work for your business.
Director
Dan founded Marquant to provide high quality analytics solutions to the marketing and research industries and to explore the growing customer insight possibilities created by technology and Big Data. Previously, Dan racked up 15 years’ experience in commercial data analysis and modelling at several agencies, with highlights including segmentation projects for FMCG multinationals and a broadcasting giant, sales forecasting for one of the most iconic new companies of the last 20 years, customer journey modelling for a home entertainment giant, data mining for another broadcaster, economic impact evaluation for a global sporting event and conjoint analysis for more clients than he can list.