In the ever-evolving market research landscape, understanding the nuances of behaviour and decision-making is paramount for any business looking to thrive. As an expert in advanced analytics with over thirty years of experience, I’ve seen first-hand how conjoint analysis can unlock profound insights into preferences and motivations and guide strategic decisions across diverse industries. This method has proven invaluable in dissecting complex choices, enabling stakeholders to finely tune their offerings, optimise pricing strategies, and ultimately drive positive satisfaction, experience and loyalty.
In this blog, I will explore the transformative impact of conjoint analysis across a variety of business challenges. Drawing on real-world applications and leveraging the deep expertise we’ve built at Impact Health Ltd., I will explain how it can be applied effectively to deliver tangible outcomes; whether you’re looking to inform new product development, adjust pricing or category optimisation or innovate or differentiate within your market space, the insights garnered through conjoint analysis are indispensable
Conjoint Analysis Across Applications and Sectors
Conjoint analysis is a sophisticated and long-established statistical technique used in market research to understand how particular groups evaluate and make decisions about products and services. This method has become a cornerstone for businesses across various sectors due to its ability to decompose individual judgments into parts based on attributes of the products or services, such as price, features, efficacy/ safety, and more. It reveals how these components influence preferences and purchasing/ prescribing decisions, making it an invaluable tool for strategic planning.
Fundamental Principles and Execution
At its core, conjoint analysis involves presenting potential buyers or users with a set of alternatives where each alternative is characterised by several attributes. For instance, a nasal spray might be described in terms of price, efficacy claims, safety, dosage, and brand. The participants are asked to rank or choose between different combinations of these attributes. This process helps in understanding what combination of attributes is most influential and desirable among the target audience.
The execution of conjoint analysis typically follows several key steps. Firstly, the relevant attributes and their levels are defined based on market knowledge or exploratory research. These attributes are then combined into a set of hypothetical but plausible products or services, using an appropriate design algorithm. These product profiles are presented to respondents in a survey, where they are asked to evaluate them, simply by indicating their preferred options or usage. The data gathered is then used to model the preferences of the respondents, providing insights into the relative importance of each attribute and possible interactions between them.
Application Across Business Challenges
When applied with HCPs, conjoint analysis is particularly useful to understand prescribing or recommending preferences across a range therapies options or within certain groups of patients. This helps pharma companies inform forecasting models, help develop new products or line extensions or understand how new competitors or market developments change and shape the healthcare landscape.
For patients or healthcare consumers conjoint analysis helps tailor claims, packaging, and product offerings that align closely with personal preferences and the specific needs of their target customer. Companies can determine the optimal mix of claims, price, promotions and brand to that maximise satisfaction and purchase /usership rates. For example, by understanding that consumers prefer a sustainable solution but with high efficacy claims and fast onset which relieve key symptoms a healthcare company can strategically invest in content development and research that meet these preferences.
Strategic Advantages and Business Impact
The strategic advantages of conjoint analysis are numerous. It provides a robust framework for making data-driven decisions that can significantly impact a company’s profitability and market share. By understanding audience preferences at a granular level, businesses can align their product development and marketing strategies more closely with customer needs, reducing the risk of market failures and enhancing the effectiveness of marketing campaigns.
Moreover, conjoint analysis supports dynamic market scenarios. As markets evolve, the preferences captured through conjoint analysis can help businesses stay ahead by adapting their offerings promptly to changing expectations and market dynamics. This agility is particularly important in industries like pharmaceutical and consumer healthcare, where newer or cheaper/ generic products are introduced or new data or claims become evident leading to a rapidly evolving landscape.
Case Studies
The following case studies are projects conducted by Impact Health, which were usually preceded by qualitative research to refine the attributes and levels tested. This qualitative phase is crucial as it ensures that the conjoint analysis is grounded in reality, thereby enhancing the reliability of the results.
Multicounty Online Study with Rheumatologists: Informing in-Licence Opportunity for new Immunology Asset. Impact worked with a leading pharmaceutical company to understand the opportunity of a potential new therapy acquisition in the rheumatoid arthritis therapy area. We worked to a tight time-frame, as is common with go or no go decision making studies, and provided the client with robust insight on the potential uptake and likely target patient types to inform their business case.
UK Online Study with Vitamin and Supplement Consumers: Portfolio Optimisation. For a multinational vitamins manufacturer Impact undertook a strategic initiative to understand the likely effect of reducing the number of SKUs within our clients portfolio. The research helped understand the potential impact on sales but also the degree to which new and existing customers would switch to an alternative SKU within the same brand, a different brand, or leave the category all together. Results from the research helped our client optimise their portfolio so marketing attention could be focused on the brands which would deliver the highest uptake but still cater to comprehensiveness of the range.
International Research with Patients and HCPs: Novel Diabetes Injectable Device Testing. A leading manufacturer in the area of diabetes wanted to launch a new injectable device into the competitive diabetes therapy area. Our client wanted to understand which device attributes where most important to patients and HCPs to optimise the development and messaging ahead of launch. Conjoint analysis was used to evaluate preferences for various features, including usability, storage, and training requirements.
These case studies illustrate the practical application of conjoint analysis across different challenges, showcasing Impact’s ability to derive actionable insights that significantly benefit client strategies and market positioning.
Conjoint analysis is more than just a research technique; it’s a strategic tool that transforms raw data into actionable business insights. Whether it is for optimising product features, adjusting pricing strategies, or redefining market positioning, the insights provided by conjoint analysis are vital. Companies that harness this power effectively can enhance their decision-making processes, delivering products and services that truly resonate with their target market, thereby securing a competitive edge in the bustling marketplace.
About the Author
Dr. David Pearmain is a renowned market research expert, holding a Ph.D. in Stated Preference Techniques. With over three decades of experience, he leads the Advanced Methods team at Impact, specialising in the sophisticated application of conjoint analysis and related statistical methods. His work effectively combines stated preference and conjoint analysis, both of which dissect consumer preferences through hypothetical choice settings, to deliver strategic insights across therapy areas and stakeholders.