
When the Commercial Organization Pulls in Two Directions
A European luxury brand. Eighty years of history. A widening gap between its digital ambitions and the way its commercial organization makes decisions.
SECTOR
Luxury Goods
REVENUE
Approx: €600M
CHANNEL
Direct
(retail + digital)
ENGAGEMENT
GTM
CONTEXT
An organization performing well in most channels, and losing ground in one.
The company has operated profitably for over eighty years. Its physical retail network, distributed across Europe and Asia, performs in line with category benchmarks. Revenue is stable. The parent group, a large international conglomerate, applies periodic performance targets to each brand in its portfolio.
The pressure point is eCommerce. The brand launched its direct digital channel several years ago with meaningful investment in brand content, platform infrastructure, and paid media. Traffic volumes have grown. The conversion gap has not closed.
Over eighteen months, the brand’s eCommerce conversion rate ran approximately 35 percent below the category average. Retail performance continued advancing. The digital channel diverged.
A senior business consultant working with the C-suite at the brand level identified the pattern. Standard optimization initiatives had not moved the metric. The consultant proposed a structured diagnostic to locate the constraint before the parent group’s next performance review.
DIAGNOSTIC FINDINGS
Three structural breakdowns in the commercial decision system.
The diagnostic engaged respondents across the eCommerce team, the marketing organization, and the media coordination function. It identified three interconnected failures.
1. No shared metric of channel success
The eCommerce team and the marketing team operate from different measurement frameworks. Marketing tracks reach, engagement, and brand equity indicators. eCommerce tracks sessions, traffic sources, and conversion rate. The two sets of metrics are not linked. Neither function can act on what the other observes, because neither has visibility into a combined view of channel performance.
The media team, a three-person coordination unit managing two separate external agencies, operates across both briefs. One agency runs performance campaigns for eCommerce. The other runs brand campaigns for the marketing function. The briefs are separate. The coordination function has no authority to align them.
2. Performance feedback does not enter the decision cycle
When eCommerce conversion data signals a deterioration, the signal does not produce a decision in the same planning period. It is reported, discussed in cross-functional meetings, and documented. The decision cycle has no structural mechanism to incorporate it, escalate it, or act on it before the next review cycle. Feedback from the channel accumulates without translating into organizational response.
3. Incentive structures reinforce the divergence
Marketing is evaluated on brand objectives: reach, visual consistency, engagement rate. eCommerce is evaluated on transaction volume. Both teams are optimizing rationally within their own measurement framework. The optimization strategies they pursue operate on the same customer touchpoints, in opposite directions.
The diagnostic identified metric fragmentation as the primary constraint. The absence of economic feedback from the channel was a reinforcing condition. The incentive divergence was the structural driver of both.
ECONOMIC EXPOSURE
The quantified cost of the constraint.
The Clario scoring model applied to the engagement profile produced the following output:
| Annual Leakage Estimate | €14M – €19M |
| Capturable Revenue Upside | €19M – €51M |
| GTM Economic Base (GEB) | €84M |
| Basis | Gross margin portion i nfluenced by GTM decisions, 12–18 month horizon |
| Channel / Maturity | Direct / Growing |
Leakage is applied to the GTM Economic Base, not to total revenue. The GEB represents the portion of gross margin that is materially determined by the quality of go-to-market decisions over a 12 to 18 month horizon. For a direct-channel business at this maturity level, that figure is 14 percent of revenue.
Upside is applied to total revenue and reflects the benchmarked revenue impact potential available to a direct-channel business at this stage when decision system friction is reduced. The capture rate is scaled by current system effectiveness.
The two figures represent different economic frames and must not be summed. Together, they define the boundary of the problem.
These figures reframed the conversation at leadership level. The eCommerce underperformance had been treated as a channel optimization problem. The diagnostic placed it in economic terms that the CFO and the parent group could evaluate directly. The question shifted from why the conversion rate was low to what the current decision system configuration was costing the organization.
POST-DIAGNOSTIC SITUATION
A defined problem, a located cause, and a measurable starting point for recovery.
Clario identified the constraint and quantified its cost. Execution remained with the client.
With a located structural cause and an economic frame, the organization addressed specific decision system failures rather than running another optimization cycle on the wrong variable.
Actions taken over 12 months
- A unified commercial dashboard was built combining marketing and eCommerce metrics into a single view of channel performance, accessible to leadership across both functions.
- Decision ownership for eCommerce investment was defined across the media coordination unit, the UX team, and the eCommerce function. The two-agency structure was retained, but the coordination brief was redesigned around a single channel objective.
- The media coordination team was given a mandate to operate across a unified campaign architecture, replacing two separate briefs with one brief structured around a shared conversion and brand equity target.
Conversion Rate Progression
| Pre-diagnostic | 12-month target | Category benchmark |
|---|---|---|
| approx. 0,78% | approx. 0,98% | approx. 1,20% |
The gap has not closed fully. The 12-month target represents approximately 55 percent of the distance between the pre-diagnostic rate and the category benchmark. This is consistent with the capture rate implied by the diagnostic. Closing the full gap requires sustained alignment across the decision system, not a single initiative.
The direction is established. The economic frame produced by the diagnostic remains the reference point for the parent group’s performance review.