Data Science
We have a large team of data scientists and statisticians with wide sector expertise who are experienced in building bespoke forecasting, investment models and AI solutions so you can better plan for today, and predict for tomorrow.
Forecasting
Forecasting allows you to predict future market trends, volumes, revenues, profit or customer behaviour.
ROI Modelling
Understand the business actions that can drive growth and maximise your return on investment.
Targeting
By profiling consumers who buy your product you can more efficiently target key groups and tailor products.
Consumer Interaction
Gain a thorough understanding of your market category and the ways in which your consumers engage with it.
Consumer Journey Mapping
Enhance the mapping of consumer journeys for a more comprehensive understanding of touch-points and strategies for their activation.
Resource Planning
Identify the most influential factors that drive choice so you can focus resource, time and spend.
Case studies
Explore our case studies to discover how Ipsos has aided other clients by optimising processes, enhancing efficiencies, and facilitating strategic decision-making through the use of data science.
EMEA / Consumer Electronics
Using statistical modelling to aid strategic sales decisions
Our client, a global consumer technology company, was looking to streamline and expedite their sales forecasting process. By adopting a statistical modelling approach, utilising Python, the Ipsos team created a solution which reduced the sales forecasting process from 2 weeks to a matter of hours; increasing efficiency and aiding enhanced decision-making.
Germany / Non-Alcoholic Beverages
Price Optimisation for Non-Alcoholic Beverages
A leading manufacturer in the non-alcoholic beverage market was looking to identify growth opportunities and assess the competitiveness of their product pricing. The Ipsos team delivered this, and more, using a blend of choice experiment, volumetric analysis and a simulation tool.
France / Healthcare
Connected activation ready enriched segmentation
A global pharmaceutical company sought to optimise its’ digital impact on U&A-based segments by consolidating digital behaviour with consumers attitudes towards the client product. As a result, Ipsos developed a methodology that established optimal digital targeting and spend allocation, using a machine learning model, to help the client better target, and capture, opportunities from strategic segments.
India / Automotive
Predicting the future of the hatchback segment in India
A leading car manufacturer in India was facing a challenge; they were heavily invested in the hatchback segment, whilst the industry was seeing significant growth in larger vehicles. They needed a solution which provided future market insights to they could pivot their strategy and remain at the forefront of the automotive industry.
UK / Retail & Consumer Goods
Increasing call centre efficiency with propensity modelling
A multinational consumer goods company was looking to increase call centre efficiency by reducing the number of repeat callers. They needed a solution which could identify why people were calling, and the likelihood of repeat contacts. The Ipsos team addressed this challenge by building a propensity model, leveraging bespoke Python scripts.
India / Automotive
Predicting vehicle sales by modelling macroeconomic factors
Seeking to remain competitive and agile in a dynamic and ever-changing marketing, our client was looking for a solution which could generate insights around future demand. To address this, we created a bespoke predictive model which could be used as an algorithm for better future-planning.
Multi-country / Retail & Consumer Goods
Optimising marketing impact with multi-source prescriptive data integration
A major player in the beverage industry were looking to optimise their marketing investment and resource allocation to maximise marketing ROI. By consolidating multiple disparate data sources, Ipsos developed a machine learning predictive model which allowed the client to assess the impact of varying investments.
Brazil / Automotive
Redefined the audience
Ipsos were onboarded to support a key player in the automotive industry with their decision-making processes for new investments, specifically with regards to customer satisfaction, cost and deadlines. Through a unionized study of automotive quality, statistical modelling and the creation of an evolutionary target curve, we were able to have a positive impact on sales volumes and ultimately help the client to remain competitive.
Brazil / FMCG
Consumer perceptions and risks of downsizing
Our client was looking to understand the potential impact of a cost optimisation strategy, aiming to identify if a price increase would have a negative effect on sales. The Ipsos team conducted a qualitative phase and conjoint analysis, leveraging market data, to understand potential impact. In turn, this provided the client with insights that highlighted strategic considersations and aided effective decision-making.
US / Retail & Consumer Goods
Using predictive analytics to anticipate changes in coffee consumption
A food and beverage company wanted to leverage their first-party behavioural data to help anticipate potential changes in consumption patterns for their coffee products. Using our data science capabilities, Ipsos created a predictive analytics model, incorporating multi-source data, to forecast sales outcomes so the client could better position their products and remain competitive.
