Applied experience case study
From account chasing to evidence-led opportunity management
B2B manufacturing | Commercial data | Commercial leadership
A UK B2B manufacturer already held the commercial data needed to understand where future order intake was likely to come from.
The challenge was identifying the relevant signals, interpreting what they meant and converting the findings into a practical process the sales team could understand and use.
The work combined analysis of opportunity dependency, historic conversion yield and salesperson-specific sales lag with hands-on commercial leadership to redirect activity towards the opportunities most capable of becoming orders.
“The data established what needed to change. Commercial leadership turned that evidence into a process the team could act upon.”
85.1%
Lag-aligned opportunity dependency
Most turnover was associated with earlier opportunity activity when assessed against the observed commercial lag.
3.0 months
Average opportunity-to-order lag
The average was approximately 91.8 days, with meaningful differences between individual salespeople.
10.4%
Historic lagged sales yield
Used to estimate the opportunity value required to support the remaining sales target.
40.3%
Observed increase in average daily order intake
Comparing the defined period before implementation with the period following the new commercial process.
Context
The commercial context
The business generated the great majority of its future turnover through enquiries, quotations and live commercial opportunities.
However, sales-management activity was still being directed mainly at account level.
The team had been encouraged to:
- —
call the largest accounts
- —
visit established customers
- —
focus on historically important relationships
- —
produce forward sales forecasts by customer
- —
project future revenue based heavily on account expectations
Customer relationships remained important, but the process did not consistently test whether each forecast was supported by sufficient live enquiry or opportunity activity.
In some management discussions, substantial future sales values were being forecast for accounts that had generated little or no relevant enquiry activity during the period in which orders would normally need to originate.
At the same time, some salespeople held a large volume of live opportunities and struggled to determine where their attention should begin.
The brief
The commercial question
Did the business need more enquiries, or did it need a better method of identifying, prioritising and converting the opportunities it already had?
The objective was not simply to produce another dashboard.
The analysis needed to determine:
- —
how dependent future turnover was on earlier opportunity activity
- —
the normal time between an enquiry or opportunity and a resulting order
- —
how that lag differed between salespeople
- —
the historic commercial yield achieved from opportunity value
- —
how much opportunity value was required to support the sales target
- —
whether each salesperson held sufficient opportunity cover
- —
which live opportunities justified immediate management attention
- —
where ownership, qualification, timing or conversion needed to improve
Inputs
The evidence reviewed
- —
enquiry and opportunity values
- —
enquiry and opportunity dates
- —
opportunity ownership
- —
commercial stage
- —
live opportunities
- —
tender-stage opportunities
- —
orders expected to be placed
- —
Closed Won activity
- —
historical turnover and order intake
- —
salesperson-level conversion performance
- —
salesperson-level commercial lag
- —
sales targets and remaining target requirements
- —
unallocated or unowned opportunities
The information already existed within the business. The value came from checking the quality of the data, aligning it to the commercial process and identifying which measures provided useful management signals.
Method
From commercial data to a planning bridge
The analysis did not rely on one simple correlation between opportunity value and monthly turnover.
Instead, it treated enquiries and opportunities as necessary commercial inputs and assessed whether their value, likely conversion and expected timing were sufficient to support future order intake.
This provided a practical planning bridge between the sales target and the level of opportunity activity required to make that target credible.
The work included:
- —
checking the proportion of turnover supported by earlier opportunity activity
- —
measuring the average and median opportunity-to-order lag
- —
comparing lag by salesperson
- —
calculating historic lag-adjusted sales yield
- —
estimating the opportunity value required to support the remaining target
- —
comparing required opportunity value with the current annualised pipeline
- —
identifying coverage gaps by salesperson
- —
reviewing the distribution and ownership of live opportunities
- —
separating a shortage of opportunity from a problem of focus or conversion
Result
What the evidence showed
The analysis identified an overall lag-aligned opportunity dependency of approximately 85.1%.
This indicated that most turnover was supported by opportunity activity created during an earlier commercial period when adjusted for the observed sales lag.
The average opportunity-to-order lag was approximately 91.8 days, or three months. The median was 92 days and 75% of the relevant outcomes occurred within approximately 108 days.
However, the overall average concealed meaningful salesperson-level differences.
Individual average lag range
1.7 – 3.4 months
One standard forecasting window could not be applied equally to every salesperson.
Weighted historic lagged sales yield
10.4%
Used to assess how much opportunity value was required to support the remaining sales target.
At total-business level, annualised opportunity value was approximately £121m compared with a calculated requirement of approximately £111m.
This suggested that the business held sufficient opportunity value overall.
However, the position was not evenly distributed.
- —
some salespeople required more opportunity value
- —
some held sufficient opportunity value but needed stronger conversion and prioritisation
- —
some had substantial live pipelines but lacked a clear starting point
- —
some opportunities required better ownership and qualification
- —
forecast timing needed to reflect salesperson-specific lag
- —
account-level projections were not always supported by current opportunity evidence
The business did not have one universal lack-of-enquiry problem. It had an uneven combination of opportunity cover, focus, ownership, timing and conversion.
Forecast credibility
Challenging forecasts with evidence
No enquiry does not always mean no future revenue. Repeat orders, timing effects and other commercial routes may still contribute.
However, in a business where the great majority of turnover was supported by earlier opportunity activity, a substantial account forecast with no corresponding enquiry or opportunity evidence had limited credibility.
A salesperson might forecast significant revenue from a customer several months ahead.
The new process allowed management to ask:
- —
What live opportunity supports the forecast?
- —
When was the opportunity created?
- —
Is it within the salesperson’s normal lag window?
- —
What stage has it reached?
- —
What action is required to progress it?
- —
Does the salesperson’s overall opportunity value support their target?
- —
Is the expected conversion consistent with historic performance?
This moved forecast discussions away from unsupported expectation and towards evidence-led commercial judgement.
The shift
From account-led activity to opportunity-led management
The analysis showed that the existing management process was directing attention at the wrong level.
The previous question
“Which accounts should we call or visit?”
The new question
“Which live opportunities should we progress, why are they the priority and what action is required to move them towards an order?”
Customer relationships remained important, but activity became connected to current commercial evidence rather than historic account status alone.
Process
Turning the analysis into a practical operating process
A new dashboard and commercial-management rhythm were introduced around the measures that could influence future order intake.
The process provided visibility of:
- —
total enquiry and opportunity value
- —
required opportunity value against target
- —
historic conversion and lagged sales yield
- —
average lag by salesperson
- —
live opportunities
- —
orders expected to be placed
- —
tender-stage opportunities
- —
opportunity age and expected timing
- —
current ownership
- —
unallocated opportunities
- —
forecast evidence
- —
specific actions required to progress each priority
The dashboard was not intended to replace the CRM or create another reporting layer.
Its purpose was to help management and the sales team determine:
- —
where attention should be focused
- —
which opportunities justified immediate intervention
- —
where more enquiry activity was required
- —
where opportunity value was already sufficient
- —
where conversion or timing was the primary constraint
- —
which forecasts lacked supporting evidence
- —
which opportunities needed clearer ownership or qualification
Adoption
Why the team bought into the change
The process was not introduced as a generic sales methodology or imposed as another instruction to make more calls.
Each salesperson could see the logic through their own commercial data.
They were shown:
- —
their typical sales lag
- —
their historic conversion or yield
- —
their current opportunity value
- —
the opportunity value required to support their target
- —
the strength and stage of their live pipeline
- —
where their forecast was supported by evidence
- —
where additional enquiry, focus or conversion activity was required
This made the management change easier to understand and adopt.
A salesperson with insufficient opportunity value could see why additional enquiry generation was necessary.
A salesperson with a substantial live pipeline could see that the priority was not necessarily more leads, but better qualification, ownership, focus and conversion.
“The team did not simply receive a new process. They could see the evidence behind it in their own performance, which made the change credible and practical.”
Implementation
Commercial leadership made the analysis actionable
Producing the analysis was only the first half of the work.
The findings then had to be translated into:
- —
clear priorities
- —
practical management questions
- —
ownership
- —
salesperson-specific actions
- —
a repeatable review rhythm
- —
dashboard visibility
- —
leadership challenge
- —
follow-up and accountability
Commercial experience was used to determine how the findings should be discussed with the team, where management attention should be applied and how the new process could be introduced without becoming an administrative exercise.
- 01
Analyse
Identify the commercial signals, lag, yield and opportunity requirements.
- 02
Interpret
Determine what the findings mean for the target, each salesperson and the wider team.
- 03
Prioritise
Identify the opportunities and commercial gaps that require attention first.
- 04
Implement
Introduce the dashboard, management rhythm, ownership and actions.
- 05
Embed
Use the process consistently, challenge forecasts and maintain team accountability.
Outcome
Observed change in order intake
Before the new process was implemented, average daily order intake across weeks 10 to 18 was approximately £40,200 per working day.
Following implementation, average daily order intake across weeks 20 to 31 was approximately £56,400 per working day.
This represented an observed increase of approximately 40.3%.
Equivalent average weekly order intake increased from approximately £201,000 per week to approximately £282,000 per week — an observed difference of approximately £81,000 per week.
Average daily order intake, not average order value. The transition week between the two comparison periods is excluded.
Methodology note
The comparison is observational and does not establish that the new process alone caused the full improvement.
Order intake may also be affected by market demand, project timing, customer mix and the timing of individual large orders.
However, the improvement followed a defined change in how commercial activity was prioritised, managed and reviewed, and the new process gave the team a more evidence-based method of deciding where to focus.
Reflection
What made the difference
- —
the business already held useful commercial data
- —
the data was checked for relevant signals and trends
- —
opportunity value was assessed against historic yield and future target requirements
- —
timing was adjusted for salesperson-specific commercial lag
- —
the analysis distinguished opportunity shortage from conversion and prioritisation problems
- —
management activity moved from general account contact to specific live opportunities
- —
the dashboard translated analysis into clear priorities and actions
- —
team members could see the rationale through their own data
- —
commercial leadership was used to implement and embed the process
The analysis identified what needed to change. Commercial leadership showed how to make the change happen.
Both practices
Where analysis and commercial leadership meet
B2B Forecasting & Commercial Insight
The data was reviewed to identify opportunity dependency, historic yield, salesperson-specific lag, coverage gaps and the level of opportunity required to support future order intake.
The analysis converted existing CRM information into a practical planning bridge between commercial activity and the sales target.
Commercial Leadership Advisory
The findings were translated into a new operating process, dashboard, management rhythm and set of salesperson-specific priorities.
Commercial experience was used to gain team buy-in, focus activity and embed clearer ownership and accountability.
Neither element would have been sufficient on its own. The data created the rationale for change; commercial leadership converted that rationale into action.
Limitations
Methodology and limitations
This was not presented as evidence of one universal linear correlation between monthly opportunity value and monthly turnover.
The analysis instead assessed commercial dependency, historic yield, conversion, opportunity coverage and timing.
The approach recognised that:
- —
opportunity creation is a necessary input to future order intake in this business
- —
opportunity value alone does not guarantee an order
- —
conversion varies by salesperson, customer and opportunity type
- —
commercial lag varies materially across the team
- —
CRM quality and stage accuracy affect the reliability of the output
- —
management judgement remains necessary
- —
observational before-and-after comparisons do not prove causation
The findings were specific to the business, time period and data analysed. They should not be assumed to apply universally without testing another organisation’s own commercial data and operating model.
This case study is based on anonymised commercial work undertaken within a live UK B2B manufacturing environment and does not imply a formal external Xenon Insight appointment.
Related case study
From enquiry data to a practical revenue forecast
Next step
Does your team have too few opportunities—or simply too little visibility and focus?
Xenon Insight helps B2B firms examine the commercial data they already hold, identify what is supporting or constraining future performance and translate the findings into a practical operating process.
The work can combine commercial analysis with hands-on leadership support, helping management understand both what needs to change and how to implement it.