The last-mile problem in an omnichannel world

A meticulously crafted, multi-million-dollar omnichannel strategy can still fail to generate meaningful engagement with HCPs. This gap between strategic vision and the real-world execution is what we call "the last-mile problem". It remains a critical and often costly point of failure where even the most well-designed plans will fall short.

“Execution is the graveyard of strategy.”

For too long, this has been unfairly viewed as a failure of execution by field teams, but the reality is more systemic. We believe the core issue lies in the outdated operational architecture (think of fragmented data, rigid planning processes, and misaligned measurement) that can no longer support modern, customer-centric ambitions.

This challenge is compounded by what we call the "Black Box" problem: a persistent inability to prove a causal link between marketing activities and commercial outcomes.

Don’t take us for our word. According to Accenture, only 25 % of pharma companies believe they have the right metrics and measurements in place to make effective marketing investment decisions¹. When sales targets are met, the dangerous assumption is that all tactics were effective, making it impossible to distinguish impactful initiatives from wasted resources. This lack of clarity prevents proper optimisation and leaves marketing leaders without the evidence needed to make genuinely data-driven decisions.

With this article series, we aim to provide a solution. Drawing on our extensive expertise in connecting strategy and execution for leading life sciences companies, we introduce a new, strategically coherent framework for collecting, analysing, and acting on data. In this first article, we break down why traditional measurement models are failing and present a customer-centric, horizontal flow model designed to shed light on the "black box" and address the last-mile problem. In next month’s article, we offer a practical roadmap to turn data from a retrospective reporting tool into a forward-looking engine for operational excellence.

The Diagnosis: Why Traditional Measurement Fails

The root of the "Black Box" problem lies in a foundational mismatch: we are trying to execute sophisticated, customer-centric strategies on an operational infrastructure built for a simpler, brand-centric world. The stakes for getting this right are higher than ever. According to Veeva Systems, more than 80% of all HCP interactions are now digital, yet the most effective content is three to four times more engaging than the worst-performing content.² This effectiveness gap shows that simply "being digital" is not enough. This architectural failure manifests in several interconnected ways.

1. The Tyranny of Activity Metrics

Success is too often measured by simple activity metrics, such as the number of calls made or emails opened, rather than by the real impact on customer behaviour and perception. These are famously called "vanity metrics. They are easy to measure, but provide little insight into the quality or value of an engagement.

“A high open rate doesn't mean the message resonated or influenced clinical thinking.”

The damaging result of this volume-based approach is clear: research from ZS Associates shows that nearly 50% of HCPs feel "spammed" by pharmaceutical companies³, a clear sign that relevance is being sacrificed for reach. This focus on volume over value means there is neither the incentive nor the data to improve the quality of engagement that defines "last mile" success.

Analogy: The Birthday Party

Think of planning a birthday party.

Your Objective is to have a genuinely happy and memorable celebration^.

KPIs (Key Performance Indicators) would be outcome-based measures that directly reflect this goal: your personal happiness score (e.g., 9/10) or the attendance of your closest loved ones.

Metrics are all the other things you can count: invitations sent, total attendees, or presents received. Sending 200 invitations (an activity metric) doesn't guarantee a happy party if your closest friends don't show up (the outcome). In pharma, we often celebrate the 200 invitations sent, without knowing if the right people came or if anyone actually had a good time.

2. The Flawed KPI Pyramid and the "Missing Middle"

The traditional KPI pyramid model, while logical on the surface, is a primary contributor to the "black box". It aggregates all metrics at its base, co-mingling real-time operational metrics (like email clicks) with long-term, lagging strategic outcomes (like market share).

This highlights a risky assumption: if the ultimate business outcome is positive, then all involved activities must have been successful. The main flaw of this model is its failure to include the "missing middle': the crucial campaign effectiveness layer. The pyramid jumps from measuring tactical outputs directly to final business results, without properly assessing whether marketing efforts effectively advanced HCPs through their decision-making process. Questions like, "Can you prove which sequence of touchpoints was most effective at shifting HCP perception?" or "Do you have a metric for 'engagement quality' beyond clicks and views?" often remain unanswered.

3. Fragmented Data and Siloed Operations

Critical data is often locked away in functional silos, leaving field teams without the 360-degree customer view needed for an intelligent "last mile" conversation. This is a widely recognised challenge. A recent Deloitte report found that while 90% of biopharma executives agree that a holistic, 360-degree customer view is critical, less than 20% believe their organisation has the capabilities to deliver it effectively⁴. In many organisations, brand and campaign planning processes are slow, sequential, and disconnected from field realities, resulting in a persistent gap between central planning and real-world execution. This fragmentation makes it nearly impossible to gain a holistic view of marketing performance or accurately attribute impact to specific initiatives.

Sources

1. Accenture (2023). "Seen, heard, and valued: A new marketing model for a new pharma ecosystem."
2. Veeva Systems (2024). "Pulse Field Trends Report."
3. ZS Associates (2023). "Future of Commercial" and "HCP omni-channel engagement" reports.
4. Deloitte (2024). "2024 Global Life Sciences Outlook: A bold new science of health."