Growth
Growth is fueled by combining various data sets to create deeper insights, improve models, and enhance commercial decision-making. By connecting data from areas such as research, sales, marketing, supply chain, and other sources, we can gain a clearer understanding of the 'what' and 'why', develop more accurate predictive models, and ultimately make quicker, more informed decisions.
Case studies
Explore our case studies to learn how Ipsos has helped other clients leverage their data more effectively to fuel growth.

UK / Consumer Goods
Reinventing data management with a future measurement framework
Our client was seeing significant shifts in consumer habits and a rapidly evolving data landscape; it was essential for them to adapt to this dynamic market in order to remain competitive. To circumnavigate these challenges, we created a solution which involved utilising multiple rich data sources, developing a change management programme and delivering a single source of insights through an interactive dashboard.

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.

UK / Consumer Electronics
Broadening performance insights with web scraping
A multinational consumer electronics organisation needed to find a solution which would enhance their understanding of their performance, and their competitors performance. We built a tailored web scraping solution, leveraging Microsoft Azure, Data Factory and SQL, to deliver broader, and more granular, insights into online performance.

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.

Germany / Healthcare
Recover and win back dissatisfied customers
Operating in the pharmaceutical industry, our client set us the challenge of identifying and predicting dissatisfied customers so they could increase customer satisfaction and reduce churn. Leveraging the client's CRM data, we achieved this by developing an AI model which determined the drop-out probability for each customer.

UK / Retail & Consumer Goods
Mapping the future of the food ecosystem
Using a blend of AI, forecasting models and live data streams, Ipsos identified key trends and statistical relationships that would impact future activity within the food ecosystem. As a result, the client benefitted from critical insights that would mitigate any potential negative future impact.

France / Customer Experience
Synthetic data: Gen AI-agents based surveys
Looking to benefit from better CX management, the client commissioned Ipsos to understand how they could leverage alternative data to augment the CX analytical pipeline. Incorporating Gen-AI to create a comprehensive dataset of customer experience, Ipsos uncovered more easily actionable insights and helped extract value from the clients’ existing data.

Multi-country / Retail & Consumer Goods
Crafting a future-proof innovation strategy for a global beverage company
Aiming to grow through innovation, a global beverage company wanted to establish areas of opportunity, and opportunity size, of new drinking occasions. Through the use of advanced analytical techniques, including building forecasting models and trends frameworks, Ipsos were able to identify high-potential consumer demand cohorts, and the key drivers of in-market trends.

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.

Germany / Financial Services
Segmenting and activating target groups using artificial intelligence
A key player in the financial services industry were faced with a significant challenge; their marketing team did not understand how to effectively segment, target and promote their diverse range of credit card services to indivduals. They needed a solution which could determine which product should be aimed at which customer to maximise cross and upsell opportunities.

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.

Multi-country / Healthcare
Identifying an optimal mix of digital channels to maximise reach
Our client's in-house digital marketing team needed to determine the optimal mix of digital channels so they could prioritise spending and maximise the reach of future campaigns. The Ipsos team conducted online surveys, and applied advanced analytics, to understand healthcare professionals attitudes towards certain channels and therefore identify the best way to target key audiences.

UK / Travel & Transport
Enhancing the understanding of online customer journeys
Our client sought to gain a deeper understanding of the online customer journey in the lead up to purchasing flight tickets. Through a variety of analytical techniques, including customer journey analysis, behaviour mapping and cohort analysis, Ipsos were able to identify the key user touchpoints and their significance in achieving conversion.

France / Retail & Consumer Goods
In real life contextualised U&A
A global leader in FMCG bodycare commissioned Ipsos to run a pilot study, and conduct advanced analytics, to establish how they could develop products or services that would contribute towards the reduction of water waste. Ipsos developed a three-tiered approach, combining first-party research data with behavioural insights and third-party open data, which helped the client establish a new water-saving initiative.

Germany / FMCG
Improving customer retention through segmentation
Our client, a manufacturer of coffee capsule systems, wanted to understand which customers were purchasing products from competitors, so they could devise a strategy to regain loyalty and improve customer retention. The Ipsos team created a solution by integrating CRM data with survey results to derive a measure for brand loyalty.