Calculating Strategic Drift

Measuring whether commercial execution follows strategy

Summary

A commercial organisation typically defines brand strategy in a set of human-facing documents: strategic imperatives, objectives, critical success factors, target customers, key messages, and budget allocation. That strategy is then briefed downstream across multiple teams, eventually becoming tactics that are executed through a set of operational platforms: campaign y, journey x, call plan z.

The connection from each strategic imperative, through the budget assigned to it, the campaigns, journeys, and content built for it, and the channel activity that delivered it, to each interaction with a healthcare professional enables an organisation to measure whether execution follows strategy. Where the connection holds, every interaction, every field minute, and every euro can be attributed to the strategic intent that justified it. Where the connection breaks, an organisation can only count activity and spend, and cannot state with specificity what either was for.

This article proposes a definition for strategic drift (the delta between strategy and execution), outlines commonly observed organisational breakages between strategy and execution, sets out best practice guidance, and illustrates the advantages of establishing an analytical capability that tracks each euro from intent to execution.

This paper is intended for life sciences companies.

1. Defining strategic drift

A commercial function performs three activities in sequence.

It sets a strategy to reach a commercial goal.
It allocates budget to the tactics chosen to deliver that strategy.
It assesses what the tactics returned, so that funding moves towards what worked and away from what did not.

The third activity makes the first two accountable. Without it, the brand strategy states that focusing on specialists with the differentiation message will grow share, and nothing ever checks whether that focus happened. Budget allocation becomes precedent plus negotiation rather than a decision informed by results. Last year's split becomes this year's baseline by default.

The trace is the record that makes the third activity possible. It has four links: each euro to the tactic it funded; each tactic to the objective it served; each objective to the imperative that justified it; each interaction to the tactic, objective, and imperative behind it. The trace is maintained continuously, not reconstructed annually, because a decision to stop funding a tactic this quarter is worth more than a report next year explaining why it did not work.

Strategic drift

Strategic drift is the accumulating divergence between the strategy an organisation agreed and the activity it funds and executes.

Figure 1. Strategic drift. Each stage moves a little from the one before it. The record shows the movement only at the end of the chain, if at all.

Four properties apply.

It compounds across tactics. Customers who are easier to reach receive more contact. Content that is familiar is used more often. Engagements that are loosely orchestrated, or targeted on inaccurate data, land approximately. Each moves execution a little away from the plan. Where orchestration takes delivered activity as its input, as next-best-action models, triggered journeys, and refreshed call plans do, the next decision is built on the last deviation, and the movement compounds rather than adds. No channel and no tactic is immune.

It is ignored by activity measurement. Where the trace is absent, the available measures are volume and coverage: calls made, emails sent, contacts reached. Those measures come as standard from marketing and sales platforms, so any organisation has them without further work. Satisfying them says nothing about how the volume was delivered or to whom, and a function managed on volume alone is blind to both.

It is a measure of alignment, not of quality. Drift does not say whether the strategy was right or the execution was good. Nor does it say whether a given element of the strategy delivered the impact it was set to deliver. It says whether what was executed is what was planned.

It is natively obscured. Strategy is defined upstream and briefed down through creative, customer engagement, media agencies, operations, and the teams beyond them. The briefing travels as documents and workbooks, each with its own version history, authors, storage location, and hand-typed inconsistencies. None of that is built for provenance or traceability, and none of it records how a line in one document relates to a line in another. Drift is not hidden by anyone. It is hidden by the medium the strategy travels in.

What is measured

Two figures.

Traceable share. The proportion of commercial activity with a recorded path back to a strategic imperative. Activity outside it cannot be assessed against intent at all.

Strategic precision. Of the traceable activity, the proportion that did what the strategy intended. An interaction counts only if it passes three checks:

Right customer: the customer was on the target list.
Right message: the message was the one intended for that customer at that stage.
Right channel: it arrived through the planned channel, within the planned contact frequency.

Both figures convert to money. Spend attached to untraceable activity cannot be assessed. Spend attached to traceable activity that fails a check did not go where the plan said it would.

2. Where the connection commonly breaks

Strategy is a set of deliberate choices: which customer segments matter this year, which claims lead, where budget concentrates, and what success means. Those choices are briefed along a chain of teams that develop the tactics and configure them for execution. By the time the strategy reaches an activation platform, its connection to what is about to be executed has been lost.

Strategy is set, tactics are chosen, journeys and content are configured, and the activity is deployed. The platform records that campaign NX-24-EM-031 delivered 40,000 emails. It holds no record of which objective those emails served or what share of that objective's budget they consumed.

Tracking is typically treated as a last-mile activity, or a retrospective one. By then the strategic intent that shaped the earlier steps has passed through several hands and is no longer attached to anything the tracking can read. Intent is not carried forward through the chain; it is inferred backwards from the end of it.

Figure 2. Tracking is an end-of-chain decision. Intent is set at the start and passes through several hands before any of it is recorded in a form reporting can read.

The strategy did inform the tactics, the tactics informed the journeys and content, and those informed the activity. It did so through a series of meetings and briefing documents, and often systematically. The connection existed. It was never recorded in a form that survives the hand-off.

Not all hand-offs are equal

A map of how information moves from the strategic plan to the interaction, and back as reporting, shows where the trace breaks. Every point where one team hands something to another carries the risk of a break, and three questions at each hand-off locate it.

Briefed, or created? Information that originates at a step carries its own reasoning. Information that arrives as a brief inherits reasoning that should have travelled with it. Where a step creates something its brief did not ask for, the chain has forked.

Data, or information? Structured data can be referenced, counted, and joined. A document can be read by a person, and receives none of that scrutiny. Strategy is typically communicated as information in a document, and execution as data. That asymmetry is the reason the two ends of the chain do not meet.

Standard, or custom? Shared templates make hand-offs comparable across brands, markets, and agencies, and they allow information to be inherited as data at the points in the chain where it matters. Where each team uses its own briefing template, information flows inconsistently, and converting it into data afterwards produces quality problems that no downstream system can repair.

Why breaks matter

A break in the chain is a lost connection between strategic intent and execution. It presents as a question that cannot be answered from the record. Walked in order against a single strategic imperative:

How much budget was assigned to deliver against that imperative?
How was that budget split across creative?
How many healthcare professionals watched the initiation video, and how many downloaded the PDF?
What did each of those views or downloads cost?
How does that compare with the initiation webinar run for the same imperative?
How much did those engagements move the key results that measure the imperative?

Most organisations attempt question six while unable to answer question one. A break at any point makes every question below it unanswerable. Question six also requires outcome data and an attribution model, and sits outside the scope of this paper.

3. What good looks like

The trace holds when intent is captured at each hand-off and carried forward as data. Strategy informs the journey, the content, and the customer selection, and each of those records names the strategy record it was built from. Every interaction then has a recorded path back to what was intended.

Four levels are captured. Each references the level above it, and the interaction record at the base references all of them.

Figure 3. Four levels, one identifier. Each level references the one above it. The interaction record at the base carries a reference to all four, which is what makes the chain computable.

The interaction identifier is the load-bearing element. If an interaction record names the asset it used, the journey it belonged to, and the imperative it served, everything above it can be reconstructed. If it does not, no modelling higher in the chain recovers the link, because the activity that occurred has no address. Where the channel is the field force, the interaction record also carries duration, so that time is attributable in the same way as cost.

The connected record

One brand, one market, one plan year. Each record is held as data and references the record it was briefed from. An interaction record carries an identifier that resolves to one asset, one journey, and one strategic imperative. Figures are illustrative and describe no client.

State

Find

Click a record to trace it. Scroll to zoom, drag the background to pan.

Figure 4. The connected record. One brand, one market, one plan year; illustrative figures describing no client. Opens in practice, with the references typically missing from the record removed; switch to in theory to see every reference in place. Select any record to see its fields and its path to the imperative it serves.

Relationships

The records connect through a small set of named relationships: an asset serves an imperative, an interaction targets a customer, a tactic sits within a journey, an asset has an approval, a brand operates in a market. Vocabulary varies between organisations (strategic imperatives, critical success factors, pillars, objectives, key results); the relationships are written down once in the organisation's own terms.

Documenting what happens, not what should

The relationships document how the organisation allocates and executes today. Changing that comes afterwards, informed by what the record shows. Documenting how budget is actually allocated exposes how much of the decision is judgement, precedent, and negotiation, and the temptation at that point is to record the process the organisation would prefer to have. A model of an allocation method that was not followed produces findings about a business that does not exist.

Discipline

The record decays without capture. Data is recorded at each point in the chain, against the model, every cycle, by the team that owns the step. The discipline required is in recording, not in deciding: teams allocate budget, brief agencies, and choose channels as they do today, and each decision leaves a record in a defined place and shape. A step that skips capture puts a hole in the chain, and a hole upstream makes everything downstream untraceable regardless of downstream quality.

4. What you get

Take one brand with a €6.0m plan, one market, one plan year. Once the four levels are captured and the identifier is carried, the record answers: how much of that €6.0m delivered against what the strategy intended?

Figure 5b. Every interaction recorded; within it the traceable share; within that, right customer, right message, right channel and frequency. Where all three overlap is strategic precision.

All recorded activity forms the square: the total set. The outer circle is the traceable share, the recorded activity that can be traced back to strategy. In this example, 79% of interactions carry a path back to strategy.

Within that traceable share sit three overlapping circles: the interaction reached a target customer, carried the message intended for that customer at that stage, and arrived through the planned channel at the planned frequency.

The overlap of all three is strategic precision. In this example it is 40% of the total set of recorded interactions. In monetary terms, for this brand, that is €2.6m of €6.0m. The remaining €3.4m is either unassessable or failed at least one check. The rest of this section breaks the analysis down against those headlines.

Figure 5c. The €6.0m plan by what the record can say about it. Traceable and unassessable sum to the allocation; passed and failed sum to the traceable share.

The traceable share

Figure 6. Traceable share by channel. Interactions with a recorded path back to a strategic imperative, as a proportion of all interactions recorded for the brand in the plan year.

The first cut is by channel. Channel dictates how an interaction is recorded in the first place, so it is the dimension along which traceability varies most, and the natural place to split this figure. Here 79% of interactions carry a path back to an imperative. Field calls sit highest, because the call record names the asset and the asset names the journey. Marketing email is close behind, because the send carries a campaign identifier that resolves. Webinar and congress sit lowest, because attendance is logged against the event rather than against the message or the journey, and the event record was never linked to either. The 21% outside the traceable share, €1.3m of spend, is not assessed further in this section. It cannot be, until the identifier reaches those channels.

Check 1. Intended customer

Figure 10. Intended customer. Interactions delivered to each target segment and to customers outside the target list. Hover for the channel breakdown.

Of the traceable interactions, how many reached a customer on the target list. This is the first check because the other two depend on it: the intended message and the intended channel are both defined relative to a customer, so the record has to establish who was reached before it can ask what they received or how. Tier 1 received 35% of traceable interactions, tier 2 29%, tier 3 16%. 20% went to customers outside the target list, €0.6m of spend. Hover on a segment shows the channel split. Webinar and congress carry most of the off-target volume because registration was open. Field carries some because the call plan and the target list were built by different teams at different times.

Check 2. Intended message, to the intended customer

Figure 7. Intended message, intended customer. Interactions by key message delivered, crossed with customer specialty or with customer journey stage. Teal cells are where the message delivered was the one intended; red cells are not. Hover any cell for the count.

Of the interactions that reached a target customer, how many carried the message intended for that customer. Each key message is approved for an audience and written for a stage of the customer journey; each interaction names the customer's specialty and stage and the message delivered. The chart crosses them, by specialty or by journey stage. By specialty, the differentiation message, approved for specialists, reached general practitioners more often than either specialist group. By stage, the persistence message, written for adoption, went out at awareness and consideration in a quarter of cases. €1.2m of spend on target customers carried a message not intended for them at that stage. The usual causes are a message set approved for one audience and a call plan or journey built for another, or content that stays in rotation after the plan has moved on.

Figure 8. Field time, specialty visited against the approved audience of the message delivered. Each cell is minutes; shading is proportional.

For the field force the same check runs on minutes rather than interactions, because field time is the most expensive unit in the plan. 68% of field time carried a message to the audience it was approved for. 32% did not, roughly €0.9m of field cost. Two patterns account for most of it: general practitioners receiving specialist messages, and Specialist C receiving anything at all, since the plan carried no message approved for that audience. The first is a call plan question. The second is a content plan question.

Check 3. Intended channel and frequency, to the intended customer

Figure 9. Intended channel and frequency. Four cuts of the same record: contacts per customer against plan, the distribution of customers by contacts received, channel mix planned against delivered, and same-message duplication across channels.

Of the interactions that reached a target customer with the intended message, how many arrived through the planned channel, within the planned contact frequency. The plan set both for each audience: specialists six contacts a cycle, mainly face to face; general practitioners three, mainly by email and webinar; payers two. The four views show contacts per customer against plan, the distribution of customers by contacts received, channel mix planned against delivered, and the same message arriving through two or more channels within seven days. Specialists averaged 7.4 contacts against six, and one in five received ten or more. General practitioners averaged 4.9 against three, with field time standing in for the webinar built for them. Half of general practitioners received the same message through two channels inside a week, most often a rep email following a call that had already delivered it. Over-contact and duplication typically arise where channels are orchestrated by separate teams, each executing its own plan against the same customers.

Check 4. Investment aligned to strategy

Figure 11. Investment aligned to strategy. Spend that reached the right customer, right message, right channel, in total and by imperative. A statement about intent, not outcome.

The three checks resolve to money. Of €6.0m allocated, €4.7m is traceable, and €2.6m of that reached the right customer with the right message through the right channel. The by-imperative view splits the same figure: expanding the treated population converted 46% of its allocation, in-class share 48%, access 33%. Access is the imperative most often cut at the next planning round, and the record shows its problem is precision rather than funding: it is the least well executed against its own plan. This is a statement about intent, not outcome. It says where the money went where the plan said it would.

Measured within the cycle

Figure 12. Measured within the cycle. Traceable share and strategic precision, recalculated from the record each week. The dashed line marks the mid-cycle review.

The record is captured at the point of interaction, so both figures recalculate weekly rather than at the end of the cycle. Read over time they measure two different capabilities. The traceable share measures the organisation's ability to measure omnichannel at all: how much of its activity can be assessed against intent. Strategic precision measures its ability to orchestrate omnichannel: how much of that assessable activity did what the plan intended. Here the traceable share rises steadily as tracking is brought forward in the chain. Strategic precision flattens in weeks five and six, the mid-cycle review moves field time back towards specialists, and precision rises twenty points over the second half. A quarterly report would have shown the result the following quarter. The weekly reading showed the problem with six weeks left to act on it.

5. Reflections

Omnichannel has become a word the industry is tired of. It arrived as a promise, right customer, right message, right channel, and it has since been attached to expensive platform purchases and reorganisations, most of which delivered a wider set of channels and a larger volume of activity.

The promise itself was reasonable. Right customer, right message, right channel is a statement about intent, and activity records by default do not carry intent.

The data strategy set out in this paper is not an alternative to omnichannel. It is the precondition for knowing whether omnichannel is happening effectively. Omnichannel is not a measure of the strategy itself; it is the capability to orchestrate that strategy across channels accurately, and that capability can only be assessed against a record of what the strategy intended.

Do you measure strategic drift today? Is the figure improving each cycle? And if the answer to either is no, what is the word omnichannel currently describing in your organisation?

About the author

Tom Botting is an omnichannel and data strategist for pharmaceutical commercial organisations. He works between the business and the build: defining target outcomes with commercial teams, then setting the requirements and working with data and technical teams to deliver them. He has led transformation programmes in-house and as a consultant. He is Consulting Delivery Lead at Forge DC, working with top-20 life sciences companies across the US, Europe, and Asia Pacific on customer engagement, data strategy, and AI. Before Forge DC he spent four and a half years at a global pharmaceutical company as Digital Customer Engagement Director for Europe and Canada.

About Forge DC

Pharmaceutical marketing teams are entering a period in which AI tools personalise at scale, orchestrate journeys, and generate content. Each of those depends on data that is structured, connected, and reflects the strategy. Forge DC builds that foundation: content, customer, channel, and impact data connected into a single record that serves the teams who make decisions and the AI tools they use.

We have worked for more than a decade at the intersection of marketing, technology, data, and customer engagement in pharma, including the years in which omnichannel moved from a term to a board mandate. That experience shapes how we approach AI: the opportunity is real, and it depends on the data foundation beneath it.