Personality is the primary driver of all behaviors and the elements of personality are the same all over the world. By applying psychology and neuroscience, anthropology, sociology and linguistics we can create models which predict healthcare decision processes in HCPs and patients.
Employing this approach has profound implications, including:
• A restructuring of how we design research
• Having common segmentation models of HCPs and of patients which can be applied to all conditions and research objectives
• Changing the role of segmentation, positioning and message development projects and liberating budget for more advance types of research
• Providing tools for smaller companies and for rare and ultra-rare markets which are effective and affordable
• A fresh approach to understanding and remediating non-compliance and the nine month drop off in persistence
• Bringing Pharmaceutical companies and their sales forces closer to HCPs and patients
Join us to see the tools and research results which point the way to a whole new level of research impact
2. Design and methodology
3. Method for data collection
4. Reporting and analysis
5. Outcome and client benefit
But what about at the point of care or for acute issues? And how do you gain similar insights into your providers? Join Escalent as they share real-world experiences conducting immersion research in office, hospital, and other clinical settings. They will identify specific instances where you can benefit from Point-of-Care Immersion as well as the types of unique insights that result from a full 360o look into your patients, providers, care teams and institutions.
Conventional approaches for writing Segment Personas include (1) using the segment means; (2) basing Personas on the specific members of segments who are closest to the segment means; or most commonly, (3) writing fictional Personas from scratch. However, all these approaches have significant flaws. We present a new, data-driven methodology for developing Segment Personas that is demonstrably superior to the existing methods. Our algorithm selects the set of Segment Personas that, taken collectively, best capture the variance in the overall sample on the persona-defining attributes. We illustrate our methodology using data from a real segmentation study and compare and contrast the Segment Personas produced by the several competing methods.
The pharma industry spends $10B per year in DTC communication, almost all of which is aimed at patient acquisition, not patient retention.
Third party studies estimate that, in many cases (even in severe or life threatening conditions), adherence does not exceed 50%.
Especially for small molecule and high value large molecule drugs, boosting adherence to just 60% and/or deferring a loss of persistence would have a dramatic positive effect on industry profitability and investment in new drug research.
Why don’t we spend more on retention? Perhaps because we don’t know what to spend it on. We need a holistic and science based understanding of the issue.
Join this session to see robust research results on what really drives adherence and what can be done to improve it.
But lately, meaning has taken a hit. There’s so much data, so many voices, so many alternative sets of facts. Can we really know or believe anything anymore? And how does this affect brands? This talk looks at how brands have evolved over the past several years, including consumer, B2B, and pharma brands, specifically in psoriasis. In a world where meaning is eroding, are brands losing ground? Or by contrast, more essential than ever? The evidence may surprise you.
We believe BE can be applied more broadly and, when combined with the cutting-edge field of Artificial Intelligence (AI), provide the basis for even more thoughtful approaches in market research science. In this talk, we discuss how BE principles and AI technology can improve Target Product Profile research: an area where innovation has been lacking but is sorely needed.
But those insights don’t always take into account fundamental considerations that underpin typical assessments based on “likes” and “preferences”, and which are better indicators of whether an idea will fly or sink.
The fields of design and user experience can help here. These disciplines are reliant on insights to guide idea creation and development, and they have developed frameworks that can strengthen the insights that market research produces. These frameworks integrate seamlessly into a wide range of market research methodologies to provide clients with a clearer understanding of value, credibility, and adoption as it relates to evaluating new ideas.
This presentation will outline such a framework built around four lenses critical to informing innovation, and how they can guide market research to produce better insights and help organizations take smarter actions and make better decisions about how to innovate.
Adelphi Research will share cutting-edge AI solutions that can provide deeper insights for strategic decision making. They will reflect on their experiences partnering with global market research clients to develop and deliver these solutions, focusing on where it is best to leverage AI.
The key takeaways within the presentation will address 2 key questions:
Is AI really worth it? What applications have we used, how it benefited our clients, and what were the pain points along the way?
What caveats should you be aware of if you are going to implement the methods discussed in your research tomorrow?
We will share details about the frequency and seriousness of the problem, the fact that morally we should make sure that we don’t make the problem any worse, and the bottom line which is that burnout can be an important segmentation variable, especially when we are marketing/market researching products that place significant burdens on physician time and effort. We will share a case study from one they are currently involved in that includes a physician burnout aspect. We will explain how and why we wanted to include physician burnout in the study.
With a number of legacy med-tech firms, tech companies and start-ups jumping into the fray to “transform” and “disrupt” healthcare with AI, AI in healthcare continues to reside at the top of the Gartner hype-cycle. However, a series of stumbles through over-zealous claims and irrational extrapolation of big data from major players, have left many healthcare stakeholders befuddled and skeptical about the relevance of this approach in bringing better outcomes and lowering costs in healthcare. In this session, Dusty Majumdar and Daryl Travis will critically examine some recent misfirings with positioning AI in healthcare and how organizations can learn from the past to create the relentlessly relevant AI-based healthcare solutions that actually bring more of the much-needed humanity back into healthcare.
2. Future state of PMR
Join inVibe for an informative introduction to Speech Emotion Recognition (SER). In this session, you will learn how voice and SER research is conducted, key application areas across the lifecycle, and get a look at where voice is headed in the future. Finally, attendees will see examples of how SER can be used alongside AI and traditional research methodologies for a deeper understanding of your key customers.
In this session, we will cover:
1. Speech Emotion Recognition 101: Acoustics, discourse, and vocal biomarkers – oh my! Get familiar with the key elements of voice analysis.
2. Current Applications: Hear examples from real client projects where voice has been used to provide a clearer picture of the customer landscape.
3. The Future of Voice: Predictions and diagnostics: where will voice research take us in the future?
As these communications grow, companies are seeking better insights into who these consumers are, where they are socially present, what messages or themes are most likely to resonate with them, and how best to optimize engagement.
The goal of this presentation is to provide an overview of an innovative approach to using traditional behavioral and attitudinal segmentation techniques – and integrating social analytics – to gain a deeper understanding about consumer segments and how best to reach them. The session will include a case study that highlights how this integrated approach helps to make substantial improvements in targeting and allows marketing teams a better opportunity to optimize the impact of consumer promotion.
In this spirit we explore the Variance…Bias trade-off in linear modeling. Optimally we would like a low variance, unbiased prediction model. There are, however, times where a biased prediction is preferred. The presentation explores when this outcome is desirable and an approach to estimate the analytic model. This is NOT a grad-school talk and the concepts will be discussed with examples and illustrations. The goal is for the client side market researcher to be able to talk with their agency partners alternate approaches to analyzing quantitative data that might be more insightful.
Attendees will vote on their favorite presentation and the winner will be announced at this time. The winner will have a few minutes to accept the prize and summarize the key points of their award-winning talk.