Let’s face it, we are in an era of Big Data in both professional and personal life. Every move seems to be captured and catalogued; ‘algorithm’ed’ and analyzed; Googled and graphed. In the market research realm, we at HSP have the distinct ability to sculpt enormous amounts of healthcare data into manageable, useable, insightful pieces of information for you and your market research team. Data that goes through HSP's rigorous and proprietary methodologies reveals the true story of your research and creates a reliable, rock-solid foundation of facts that has been mined, tested, scrubbed, and approved - upon which we can help you build for years to come.
Our proprietary approach to segmentation involves innovative, holistic simultaneous modeling of attitudes, behaviors, needs, marketing inputs, secondary data, etc.
We deliver precise and immediately implementable action plans for our clients.
Our sophisticated modeling framework accommodates a variety of sample designs and is adaptable for market expansion, cannibalization, TPP, and order-of-entry timing. Clients walk away with powerful, intuitive, interactive simulators with long shelf lives.
Our rigorous product launch and message testing techniques produce accurate and meaningful brand narratives. We are able to drill down on order, flow, key message elements, neurolinguistics, graphics, etc. while focusing on segments, specialties, and/or key competitors.
Our Smart ATUs are better than the industry norms because they are bi-directionally linked to all critical brand strategy issues. Plus our advanced analytics provide deep insights and are not just another unyielding data dump for our clients.
We conduct patient journey research with particular focus on segments, for maximum insights and relevance for our clients. Our expert interviews dig deep to define both common and less common pathways.
HSP has the unique ability to re-examine, re-run, and re-do clients' prior analyses that are perceived to be low-performing and under-delivering. We will recommend immediate next steps using your prior data vs. collecting and analyzing new data - saving you time, effort, resources, and money.