The leadership team thought they were ahead of their drug launch schedule.
Phase II data were in. The mechanism looked differentiated. Manufacturing timelines were locked. A polished launch deck laid out market size, peak sales, and a confident path to approval. On paper, everything was moving in the right direction.
Then the questions started to surface. Regulatory feedback hinted at endpoint uncertainty. Early payer conversations raised doubts about differentiation. Internal teams began describing the asset in subtly different ways, each reasonable on its own, but none aligned.
By the time the company reached Phase III, the narrative was already fractured.
The launch did not fail because the science broke.
It failed because the strategy had quietly unraveled years earlier.
The Scale of the Problem Is Larger Than It Appears
Across the industry, this pattern is far more common than most executives like to admit. Launch failure is often framed as a commercial or market access problem that arises after approval. In reality, many of the most expensive missteps are locked in long before pivotal trials begin.
Analyses on drug launch performance highlight how systemic this issue has become. A substantial proportion of new molecular entities fall short of their initial revenue forecasts within the first two years on the market, even when clinical endpoints are met, and regulatory approvals proceed largely as planned. In several therapeutic areas, fewer than half of launches reach even 70% of projected uptake in the early post-approval window.
What is striking is not just the frequency of underperformance, but its consistency. These are not outliers driven by sudden competitive entries or unexpected safety signals. They reflect structural weaknesses in how the launch strategy is conceived and when it is taken seriously.
When companies are forced to revisit positioning, value narratives, or access assumptions late in development, the consequences are no longer abstract. Trial redesigns, delayed submissions, narrower labels, and conservative coverage decisions compound into lost time and lost revenue that cannot be recovered.
Why Launch Strategy Breaks Down So Early
Launch planning in pharma is still treated as a downstream activity. Clinical teams optimize for statistical success. Regulatory teams focus on approvability. Commercial teams model opportunity using historical analogs that may no longer reflect current market dynamics.
Each function performs well against its own objectives. The system fails because no one is accountable for coherence.
Across disciplines as varied as behavioral science, journalism, and strategic communications, the same principle emerges: people do not make decisions based solely on data. They make decisions based on whether information fits into a clear, consistent narrative. When that narrative is fragmented, confidence erodes, even when the evidence itself is strong.
In pharma, fragmentation is often mistaken for rigor. Multiple perspectives are welcomed, but rarely reconciled early enough to shape development decisions. The result is a portfolio of technically correct choices that do not add up to a compelling whole.
The Assumption That No Longer Holds
For years, the industry operated under the reassuring belief that if the data are strong enough, the strategy will sort itself out.
That belief is becoming increasingly untenable.
Regulators are signaling expectations earlier and with greater specificity. Payers are shaping access criteria well before approval. Sites and patients are responding to trial burden and real-world feasibility as much as to clinical endpoints. Each stakeholder interprets value differently, and those interpretations begin to diverge long before Phase III readouts.
When companies wait until late-stage development to reconcile these perspectives, they are no longer setting strategy. They are responding to constraints that have already solidified.
Case in Point: When Alignment Comes Too Late
Consider a familiar scenario in oncology.
A mid-sized sponsor advances a novel therapy with strong biomarker-driven Phase II data. Clinical teams frame success in terms of surrogate endpoints that clearly demonstrate biological activity. Commercial teams position the asset within a crowded indication, emphasizing sequencing and convenience. Regulatory teams raise questions about the durability of response and long-term outcomes.
Individually, each perspective is defensible. Collectively, they describe three different products.
By Phase III, these differences become embedded in trial design. Endpoints satisfy one audience but leave others unconvinced. Comparator arms reflect legacy standards rather than evolving practice. Patient populations drift away from those most relevant to payer decision-making.
When late-stage feedback forces course correction, it feels abrupt. In reality, the warning signs were present from the beginning.
What Executives See Too Late
By the time most teams are forced to confront launch positioning in earnest, the opportunity to shape it has largely passed. At that stage, decisions are no longer strategic. They are defensive, aimed at mitigating risk rather than creating advantage.
Broader analyses of recent launches reinforce this pattern. Drugs that enter late-stage development with a clear, internally aligned value proposition tend to encounter fewer downstream access and uptake barriers, even in competitive categories. The difference is not the volume of data generated along the way, but the clarity of purpose for which those data were intended from the outset.
Reframing Launch as a Phase I Discipline
The most resilient launches are not built in the final years before approval. They are shaped from the outset by a unifying strategic narrative.
This is not about marketing language. It is about coherence. A clear through-line that connects clinical intent, regulatory expectations, access realities, and patient experience allows teams to anticipate friction rather than react to it.
When launch strategy is treated as an evolving discipline rather than a late-stage deliverable, regulatory questions become inputs to the design rather than obstacles to approval. Access concerns shape endpoints instead of constraining coverage after the fact. Development decisions reinforce one another rather than pulling in different directions.
The Strategic Takeaway
The most expensive launch failures rarely announce themselves in the data.
They are embedded in assumptions that go unchallenged for years.
Phase III does not determine whether a launch will succeed.
It reveals whether leadership asked the right questions early enough to make success possible.
Moe Alsumidaie is Chief Editor of The Clinical Trial Vanguard. Moe holds decades of experience in the clinical trials industry. Moe also serves as Head of Research at CliniBiz and Chief Data Scientist at Annex Clinical Corporation.




