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How EY can help
The challenge is increased by new factors such as workforce and talent shortages, particularly for in-demand skillsets. These workforce issues were cited in 2024 as the biggest challenge by Life Sciences CEOs in EY’s CEO Confidence survey and make it harder to assign adequate resources to each new launch. Broader workforce shortages are also hitting the healthcare ecosystem increasing the challenges for provider systems to get up to speed with new products and protocols, which potentially slows the pace of implementation.
With the frequency of future product launches, the strain on existing systems and resources will only increase, piling more pressure on launch strategy.
To build more confidence in their upcoming product launches, companies need to concentrate on the four interconnected capabilities of launch strategy:
- Strategy driven by insight into drug value proposition differentiation, communication, supporting evidence and product positioning
- Agile launch control of market shaping, market development and ecosystem partnerships
- Market pull through of launch strategy through customer engagement and future operating models
- Leading edge capabilities in commercial and medical insights and analytics, leveraging generative AI (GenAI) to deliver faster insight into action
In a crowded and dynamic competitive market, how do you differentiate your drug’s value proposition?
The crux for any life sciences asset is the value (clinical, economic and societal) it delivers, and companies need to communicate this upfront and effectively through a clear value proposition. Efficacy and safety are the key drivers of a drug’s value proposition, but even those drugs with a clean safety profile and transformative clinical trial results need strong value communication, robust supporting evidence, and clear product positioning to meet – or surpass – revenue expectations in the current market environment.
Delivering on the value proposition goes well beyond reporting out clinical trial results, and having a successful commercial launch begins long before a product ever reaches the approval stage. While scientific publication of results and noise in the market around that publication are still crucial pieces of the clinical trial communication, disseminating and communicating value must go further. As therapies become more tailored to sub-groups and even individuals, the messaging around them from the commercial team has to reflect this personalized approach, honing in on the precise data points that will resonate with each healthcare provider and patient.
Technology allows companies to delve deeper into clinical trial results, as well as real-world data, and find the nuances that are going to resonate with ecosystem stakeholders including physicians, payers, providers and increasingly the patient community. Data and analytics leveraging artificial intelligence (AI) allows companies to capture, clean, pseudo-anonymize, interrogate, and ultimately analyze the data that has been collected around a drug more efficiently. This process can then help determine whether your product is similar, the same as, better than, or superior to the competition. The goal for any drug launch is to find a way to communicate the drug’s value in a simple, clear, consistent and compelling way.
The product portfolio mix for life sciences companies is growing more complex across different therapeutic areas and also geographies. Alongside new launches of potentially mass-prescribed treatments for high-prevalence diseases, the next generation of innovative new products includes high-complexity Advanced Therapeutic Medicinal Products (ATMPs). The same commercialization strategies that support potential blockbusters such as the GLP-1 agonist drugs for obesity and other chronic conditions will obviously not be suited to high-cost specialist personalized treatments like cell and gene therapies. Companies need the ability to shape compelling value stories across their entire portfolio of launches, from primary-care products to personalized therapies at the cutting edge of science – and they need to identify the right stakeholder audiences in each case and tailor the narrative to them appropriately.
Optimizing this process is paramount. Ensuring data quality, facilitating integration, and enabling real-time data sharing amongst stakeholders — physicians, payers, patients, and others — is crucial. It is essential to have people in your workforce or from a third party that are capable of filtering through extensive data and distilling it into a compelling narrative or story that is aligned with the commercial ambition and strategy for the current and future portfolio.
What does it mean to shape and develop the market?
Communication of data must go one step further and encompass market and policy shaping, or the building of the market environment to facilitate access and drive product uptake. Once a company has built the right workforce of talent that can filter data into a story that encapsulates the drug’s value, it’s imperative to build relationships within the wider sphere of direct and indirect influence to support commercial goals.
This means engaging across the ecosystem of stakeholders who might encounter your drug, and going beyond the traditional triad of physicians, payers, and patients to also include regulators, other government bodies, patient advocacy groups, and academics. Increasingly also involving wider health ecosystem partnerships and collaborations with other manufacturers and private sector organizations.
Preparing the market for a drug launch begins well before commercialization. EY’s assessment shows that the launch trajectory for new products is critical to their chances of realizing their potential value. Each product has an anticipated revenue curve before it can maximize its peak sales potential, but delayed time to market and slower than anticipated adoption can see products fall below that trajectory, setting companies on course to miss targets in ways it can be difficult to recover from (see Figure 3).