Efficiency in action

Efficiency / France / Media & Tech

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.

Efficiency / Multi-country / Automotive

A global vehicle manufacturer wanted to understand the relationship between CX and future sales. Consequently, Ipsos were onboarded to conduct and analyse a wide-scale research study, merge survey feedback data with sales data, and model a CX impact simulator to demonstrate value gained or value lost as a result of varying user experience.

Efficiency / UK / Retail & Consumer Goods

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.

Efficiency / Brazil / Financial Services

Our client, an organisation operating in the financial services industry, needed to find an optimal way to increase brand performance with limited media investment. Ipsos were commissed to analyse the impact of different media channels on the brands KPIs, ultimately supporting their media investment strategy and driving efficiencies.

Efficiency / US / Financial Services

A North American bank tasked Ipsos with identifying the value of investing in CX and pinpointing the diminishing point of return. Through the creation of an interactive simulator, Ipsos were able to provide the client with a detailed analysis of the impact of enhanced UX and it’s influence on ROI, split out by customer segments.

Efficiency / UK / Events

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.

Efficiency / UK / Retail & Consumer Goods

A large retail chain sought to understand the potential impact of enhanced CX on sales. By integrating survey data with longitudinal sales data, Ipsos were able to map out the relationship into an interactive simulator to illustrate potential gains or losses as a result of increased or decreased satisfaction.

Efficiency / Brazil / Automotive

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.

Efficiency / Multi-country / Retail & Consumer Goods

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.

Efficiency / France / Healthcare

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.

Efficiency / US / Retail & Consumer Goods

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.

Efficiency / US / Retail & Consumer Goods

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.

Efficiency / France / Financial Services

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.

Efficiency / US / Healthcare

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.

Efficiency / India / Automotive

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.