Efficiency
Greater efficiency is driven by automating data processes to reduce resource requirements, in turn accelerating decision-making and minimising errors. We have saved thousands of hours and helped build confidence in data accuracy by identifying areas that need to be improved, and developing the logic to drive the automation.
Case studies
Explore our case studies to discover how Ipsos has supported other clients in strengthening and transforming their data strategy to deliver internal efficiencies.
France / Media & Tech
Crafting dynamic consumer profiles - aka Bots - with Ipsos’ AI-driven approach
Our client, a global telecommunications company, wanted to further activate survey-based consumer segments to help adapt and personalise marketing actions. Ipsos created a solution which allowed for a more nuanced, engaging and actionable understanding of consumer needs and preferences, and ultimately led to the development of a highly tailored marketing approach.
EMEA / Consumer Electronics
Developing an AI-enabled chatbot to improve team productivity
A multinational consumer technology corporation was looking for a solution to increase the productivity of their business sales operations unit. They were experiencing vast amounts of queries from numerous internal stakeholders and needed to streamline this process and enable other teams to self-serve. We created an AI-enabled chatbot which has already resulted in a 30% reduction in queries.
Multi-country / Healthcare
Synthesising knowledge on vaccine hesitancy using AI
Through the power of AI, our client wanted to strengthen their knowledge on vaccine hesitancy, and understand varying views based on different cohorts. Ipsos supported by leveraging generative AI to summarise over 100 reports, and synthesise this knowledge to understand overall summary, as well as summaries by market and specific target groups.
UK / Healthcare
Qualitative data analysis using AI
Our client sought to improve productivity by generating meeting transcripts which summarised and synthesised data and insights generated through group discussions. Ipsos supported by comparing results of the AI-enabled analysis to the original report, conducted by a human researcher, to establish how AI can be used to simplify complex project discussions.
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.
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.
UK / Events
Building a reporting framework from the ground up
Our client, a global events organisation, had huge amounts of disparate data and no centralised system to store, clean or analyse this data. They were struggling to generate data-driven insights which could guide the decisions from the C-suite and investors. We built a 'one stop shop' solution using Microsoft Azure and Power BI, transforming the way they were able to report.
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.
France / Media & Tech
Large scale mobility synthetic data
A major player in Out Of Home media in France wanted to assess campaign performance at a granular level, whilst considering contributing factors such as travel purpose, mode of transport and varying levels of footfall based on time of year. Ipsos were commissioned to consolidate open data with 3rd party data and survey data, and to then map this into a scalable Agent Based Model to create synthetic data.
US / Public Sector
Maximising public health campaign performance by leveraging third-party data and spatial analytics
In order to improve accessibility to healthcare services in disadvantaged communities, the client wanted to leverage third-party data on population figures and pharmacy locations, as well as factors around distance, lack of transport and attitudes towards vaccination. Ipsos consolidated these data sources, and used spatial analytics, to determine a strategy that would aid the distribution of public health services across multiple population segments.
UK / Hospitality
Designing the hotel room of the future
The Ipsos team deployed a multi-disciplinary approach to establish the next generation of hotel rooms for one of the largest hospitality businesses in the UK, achieving the Silver Award for 'Best Product or Service Development' at the UK Customer Experience Awards 2023. Using a blend of insight review, direct and indirect trend analysis, and customer journey interviews, we were able to boost customer satisfaction, customer experience and utlimately ROI.
Brazil / Automotive
Understanding the time effect on satisfaction
An automotive sales company were looking to understand their customer's perception and evaluate why satisfaction was changing over time. Using insights from a CX and syndicated study, Ipsos cross-referenced and analysed the data in order to understand why satisfaction was differing and map out actions that could improve the customer experience.
US / Retail & Consumer Goods
Optimising selling cycles in the CPG industry using predictive analytics
A client in the Consumer Packaged Goods industry were wanting to enhance their sales cycles and answer critical questions on consumer behaviour by leveraging third-party data and predictive analytics. Ipsos integrated large datasets at scale, and built a predictive model, in turn providing granular insights to aid the clients’ data-driven decision-making.
France / Financial Services
Improving customer profiling and targeting capabilities
A company within the bank insurance industry were looking to identify and profile ‘worthy’ individuals, as well as improve their capability to target these individuals. Ipsos conducted a U&A study to size their market and identify the best process for adapting the clients approach. We created a canonical segmentation solution to highlight opportunities for leveraging survey insights, enhancing operational targeting for client call centres, and to foster alignment between teams.
US / Healthcare
Tagging Physician population with segmentation solutions
Our client was facing fierce competition, both in the strict and the broader market. They needed to find a solution which helped them to refocus and strengthen their brand, particularly in the US, but also globally. By working with Ipsos, they were able to better understand their audience, and therefore optimise their marketing strategy so they could better target physicians based on their behaviours, attitudes and needs.
Germany / FMCG
Touchpoint efficiency for a new brand launch campaign
Leveraging marketing mix modelling, we helped a successful FMCG client to evaluate their marketing initiatives, post launching a new brand, so they could understand the performance of different touchpoints in order to maximise efficiency and ROI.
