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[Guide to Visualizing Sales Performance] Explaining 5 Key Metrics and 5 Implementation Steps
"Sales performance varies from person to person, but I can't figure out why." "I can't predict this month's results until the closing date is near, so I'm late in taking steps to improve." Many sales managers and sales directors likely face challenges like these.
In this article, we’ll walk you through the challenges that visualizing sales performance can solve, the five key metrics to track, the five steps to implementation, how to address resistance from the field, and tips for maintaining the initiative.
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SUCCESS STORIES OF COMPANIES THAT HAVE ACHIEVED RESULTS WITH UPWARD
Visualizing sales performance is an initiative that transforms individual-dependent results into shared organizational data, thereby fostering reproducibility.
We’ll create an environment where the entire team can see not only the results—such as who generated how much revenue—but also the actions taken and the progress of each project.
Definition of Sales Performance Visualization
Visualization refers to making three key elements—metrics, actions, and progress—visible to sales representatives, managers, and, in some cases, senior management. Metrics refer to order values and conversion rates; actions refer to the number of client visits and sales meetings; and progress refers to information on the current stage of each project.
Only when all three of these layers are in place can we trace back and explain the reasons behind the results.
The Small and Medium Enterprise Agency’s Mira-Support Plus program explains that by establishing standard procedures for each process, high-quality sales activities can be conducted without relying on the individual skills of the person in charge. This approach aligns with the fundamental principle of visualization. By standardizing the necessary tasks and recording their execution as data, a consistent level of quality can be maintained regardless of who is in charge.
The Difference Between "Visualization" and "Presentation"
While "visualization" and "presentation" sound similar, they have opposite meanings. Visualization is a passive mechanism that allows the right people to understand the situation when they need to; the data is simply there, ready to be viewed whenever desired.
On the other hand, “visualization” refers to the active sharing of information, such as posting performance results in a list format. Posting the top salespeople’s figures on the wall is a classic example of visualization; while it can be motivating, it can also be perceived as nothing more than pressure by lower-performing members.
This article focuses on the former—creating an environment where data, including actions and progress, is presented transparently.
Why Visualization Is Necessary
The reason for rushing to implement visualization lies in the risks associated with reliance on individual expertise and the limitations of Excel-based management. If the reasons behind successful outcomes are confined solely to the rule-of-thumb knowledge of veteran employees, that know-how is lost the moment those employees are transferred or retire.
Even when using Excel or individual daily reports for management, if data entry falls behind, the information will no longer reflect the actual situation. A spreadsheet that someone has forgotten to update can no longer serve as a basis for decision-making. To prevent reliance on specific individuals and ensure that information is always up to date, it is worthwhile for the organization to take the step toward visualizing data.
5 Signs of a Sales Organization That Lacks Transparency
Organizations that lack transparency often exhibit common symptoms, such as being unable to review financial figures until the end of the fiscal month. If any of these apply to your organization, it’s a clear sign that it’s time to take action.
We can't predict our performance until the results are in
One obvious symptom is the inability to predict the final results by the end of the month. If project progress isn’t captured in data, managers have no choice but to piece together individual reports verbally, leaving the big picture shrouded in uncertainty.
As a result, measures can often only be taken after the figures have been finalized—by which point it’s usually too late.
I can't pinpoint where the struggling members are having trouble
It’s also common to be unable to pinpoint the cause even when some team members aren’t performing well. Without data on their activities and progress, it’s impossible to determine whether the issue is a lack of sales calls or whether they’re generating leads but failing to close deals.
If you tell someone to "try harder" without identifying the root cause, they won't know what to fix and will just end up spinning their wheels.
Best practices are not being replicated across the organization
The fact that the winning strategies of high-performing members aren’t being adopted across the team is a sign of a lack of transparency. log their log —specifically, which targets they approached, in what order, and how they secured the order—it’s impossible to replicate their success or provide effective coaching. Since the members themselves may not fully understand their own processes, it’s essential to clarify exactly which lists they targeted, what sales pitches they used, and what materials they provided.
The daily reports in Excel are not being updated, resulting in a discrepancy between the data and the actual situation
It’s common for data entry to be put off, causing daily reports to gradually diverge from reality. If you rely on memory to enter several days’ worth of data at once, the accuracy of the figures will suffer. Once trust in the data is lost, no one will look at it anymore, and the visualization itself will become nothing more than a formality.
5 Key Metrics to Track When Visualizing Sales Performance
Visualization should focus not only on outcome metrics but also on five key indicators, including the volume of activities and process progress. Simply checking the results won’t enable you to take steps toward improvement. Only by aligning the activities and processes that lead up to those results can you identify what needs to be corrected.
Order Conversion Rate and Deal Conversion Rate (Outcome Metrics)
The order conversion rate and deal conversion rate are key performance indicators that reflect the quality of our sales activities. They show the extent to which deals have resulted in orders and the extent to which leads have progressed to deals, providing insights into whether the team’s winning strategy is working. When these numbers decline, we investigate the causes by comparing them with the behavioral and process metrics discussed below.
Number of sales meetings and visits (key performance indicators)
The number of sales meetings and the number of visits are leading indicators that precede results. In field sales, the number of visits carries particular significance as a leading indicator.
Since the quantity and quality of sales calls directly impact orders received several weeks later, taking early action when the number of calls drops allows you to course-correct before the results become apparent.
Project Progress and Pipeline (Process Metrics)
Deal progress and the sales pipeline are process metrics that reflect future revenue. By tracking where each deal stands in the process—whether it’s at the initial contact, proposal, quote, or closing stage—you can predict future outcomes. If deals are stagnating at a specific stage, you can conclude that there is a bottleneck there.
KPI Achievement Rate
The KPI achievement rate is a metric that shows your current progress toward your goals. It allows you to check in real time how close you are to meeting the targets for the number of visits, sales meetings, and order value set at the beginning of the month.
For members whose progress isn't up to par, we can step in to provide support before the end of the month.
Gross Profit and Revenue by Customer Tier
Gross profit and revenue by customer tier are key indicators of profit quality. They help determine whether you are spending too much time on customers with high revenue but low gross margins, and whether you are allocating sufficient resources to your most valuable customers. By visualizing customer data, you can clearly identify where to focus your sales efforts.
Indicator
Category
Things to Look For
Order Conversion Rate / Deal Conversion Rate
Performance metrics
Is the quality of our activities effective?
Number of business meetings / Number of visits
Performance Indicators
Activity levels leading up to results (in field sales, the number of visits is key)
Project Progress and Pipeline
Process metrics
Predicted future landing points and areas of congestion
KPI Achievement Rate
Progress indicators
Current Progress Toward the Goal
Gross Profit and Revenue by Customer Tier
Revenue Metrics
Optimality of Resource Allocation
5 Steps to Implement Sales Performance Visualization
The implementation of data visualization proceeds in five stages, from defining objectives to selecting metrics, establishing input rules, sharing the data, and making improvements. If you skip any of these steps, you’ll end up with a situation where data accumulates but goes unused. Let’s move forward step by step, solidifying the foundation as we go.
STEP 1: Define the Purpose and Goals
First, we need to clearly define the purpose of the visualization. The metrics we should track will vary depending on the objective—whether we want to increase the order conversion rate, improve the accuracy of sales forecasts, or accelerate the onboarding of new hires. For example, if the goal is to train new hires, the visualization should be designed to focus more on process metrics—such as the number of visits and the rate of converting leads into sales meetings—rather than on results.
It’s also essential to set specific numerical goals. If you have a clear target—such as improving the order conversion rate within six months—you’ll be able to assess success or failure during subsequent reviews. If you start without a clear objective, you’ll only increase the burden on the front-line staff by turning everything into data.
STEP 2: Standardize the metrics to track and the sales process template
Next, we’ll narrow down the metrics we track and standardize our sales process across the entire team. We’ll define each stage—from the initial contact to order placement—using consistent terminology and ensure everyone shares a common understanding of what constitutes a sales opportunity. If our process varies, the same data can mean different things to different people, making it impossible to compare results.
STEP 3: Design data entry rules and measures to reduce the workload
Once the format has been decided, establish rules regarding who enters the data, when, and to what extent. It is also crucial to simultaneously design ways to reduce the burden of data entry. If you only enforce strict rules while neglecting the effort involved, staff will put off entering data, and the data will become outdated.
For example, if you set up log immediately after a visit, log accurate log while their memories are still fresh. Ease of entry is a key design element that determines the quality of the data.
STEP 4: Visualize data on the dashboard and create a space for sharing
We compile the collected data into a dashboard and make it available in a central location where everyone can access it. When key metrics are visible on a single screen, managers and team members can discuss matters based on the same set of facts. By creating opportunities for shared discussion—such as reviewing the dashboard during weekly meetings—data becomes an integral part of the decision-making process.
STEP 5: Implement a cycle of reflection and improvement
Finally, we use the data to reflect on our performance and drive the cycle forward to inform our next steps. Visualization does not end once the data is compiled; rather, it serves as the starting point for moving toward prediction and improvement. The Ministry of Internal Affairs and Communications’ White Paper on Information and Communications Technology outlines that data utilization evolves in stages, progressing from visualization to predictive analytics, automation, and optimal control. Visualization represents the first step on this ladder.
During your review, use pending cases and a decline in the number of visits as a starting point to determine specific actions. Don’t just stop at looking at the data; make it a habit to use it to inform your next steps.
If you want to start visualizing your sales performance without the hassle of data entry,
UPWARD is an SFA/CRM system designed specifically for field sales that allows you to manage everything log to dashboard metrics on a single screen. If you’d like to learn how to implement visualization that works best for your company, please schedule a free consultation or demo.
Addressing On-Site Resistance and Obstacles to Visualization
Many failures in visualization stem from the burden of data entry and concerns about monitoring, but these can be avoided through careful design. Focusing on human psychology rather than technology is the key to ensuring successful adoption.
The psychological resistance to being micromanaged
One common concern among team members is the anxiety that their actions are being micromanaged. Furthermore, displaying performance metrics in a public list is a classic example of a practice that amplifies the pressure of feeling burdened by quotas. If you only list results or consistently adopt an attitude that criticizes their actions, team members will become intimidated, and they will develop a resistance to data entry itself.
The solution lies in designing a system that ensures actions and processes are evaluated fairly, rather than focusing solely on results. By including metrics such as the number of client visits and the steps leading up to a sales opportunity in the evaluation criteria, the efforts made before results are achieved will be properly recognized.
It is important to demonstrate through our operations that data is used not to judge individuals, but to support one another as a team.
A stumbling block that becomes a mere formality due to the burden of data entry
Another pitfall is the system becoming a mere formality due to the hassle of data entry. When teams are required to enter data for multiple visits all at once at the end of the day, putting it off becomes the norm, and eventually, no one enters the data anymore. A dashboard with missing data loses credibility, and the visualization becomes nothing more than a hollow gesture.
Here, too, the key to a solution lies in reducing the workload. By minimizing the time and effort required for data entry, frontline staff can continue their work without undue strain. The idea of using systems to absorb this burden prevents the process from becoming a mere formality.
Building Consensus Among Members and Highlighting the Benefits
To reduce resistance, it is essential to demonstrate the benefits to team members and gain their consent. Specifically, explain the advantages, such as how visualization ensures that their efforts are fairly recognized and how it allows them to quickly identify any stumbling blocks and receive support.
For example, having a system in place that allows team members to discuss improvement strategies with their manager when the number of visits drops provides them with peace of mind. Rather than simply announcing the purpose of the initiative, the process of designing it together while listening to feedback from the front lines fosters a sense of buy-in.
Tips for Maintaining Sales Performance Visibility and Utilizing Tools
The key to sustaining data visualization lies in automating data entry and establishing the habit of using data to inform decision-making. Maintaining the process is harder than getting it started, and if you stumble here, all your efforts will go to waste.
Automate data entry to minimize the workload
The key to consistency is minimizing the effort required for data entry. By using automatic location detection, the system can determine which customers have been visited, freeing staff from the bulk of manual data entry.
log can be completed on the spot using a mobile device, there’s no need to enter data all at once after returning to the office. A system designed to leverage location data fundamentally reduces log.
Utilizing SFA/CRM Dashboards
To make the most of the data you’ve collected, we’ll build our system around SFA/CRM and dashboards. If integration with platforms like Salesforce is in place, log will be linked to existing customer information and deal data, eliminating the need for duplicate data entry.
By automatically aggregating metrics on the dashboard, managers can shift their focus from compiling data to analyzing it and making decisions.
Visualize field sales visit data on a map
One of the unique strengths of field sales is the ability to visualize visit history using a map-based UI. By seeing on a map who has visited which areas and how many times, you can immediately identify any uneven distribution of visits or uncovered areas, which helps optimize visit planning. List figures
The map brings to life the true nature of these activities in a three-dimensional way—something that simply looking at them wouldn’t reveal.
At companies that have implemented UPWARD, it has become standard practice log the spot immediately after a visit. This eliminates the need for overtime to prepare daily reports or for managers to rely on memory, allowing them to grasp their team’s activities within the same day. By letting the system handle data entry, the process of visualizing team performance becomes a sustainable part of daily operations.
Try it out for yourself and see how it works with zero data entry required
With UPWARD, automatic location detection and mobile data entry minimize log, and you can track your visit history on maps and dashboards. The quickest way to see how your company’s sales data will look is to check out a demo.
Summary: Visualizing sales performance is just the starting point
Visualizing sales performance begins with recognizing the issues within an organization that lacks such visibility. It then progresses to selecting the five key metrics to track, implementing a five-step process, addressing potential resistance from the front lines through thoughtful design, and ensuring sustainability through automated data entry. Visualization is not an end in itself, but rather the first step toward the next stage: forecasting and improvement.
Visualization refers to a system where everyone can view three layers—metrics, actions, and progress—on the same screen.
In addition to results-based metrics, you should track behavioral metrics such as the number of sales meetings and visits, as well as pipeline process metrics.
The implementation process consists of five steps, ranging from defining objectives to standardizing metrics, establishing input rules, sharing information, and driving improvement.
Much of the resistance on-site stems from concerns about the burden of data entry and monitoring, which can be mitigated through careful design and measures to reduce that burden.
The key to continuity lies in automating data entry and establishing operational practices that utilize data for decision-making
Let’s start by identifying the issues within your organization and narrowing down the metrics to track.
Frequently Asked Questions About Visualizing Sales Performance
Q: What is the difference between visualizing sales performance and "presenting" it?
Visualization is a passive mechanism that allows the right people to understand the situation when they need to. In contrast, "displaying" refers to an active form of sharing, such as posting a list of performance results; while this can be motivating, it can also put pressure on lower-performing members. This article recommends the former approach—a system designed to provide a fair view of data, including actions and progress.
Q: Can I visualize sales performance in Excel?
If it’s a small-scale operation, you can start with Excel. However, if data entry falls behind, the information will become out of sync with reality, which risks undermining trust in the data and causing people to stop using it altogether. If you prioritize automating data entry and eliminating duplicate entries, using an SFA/CRM system is a more sustainable option.
Q: Won’t there be resistance from the front lines when we start implementing visualization?
If you focus too much on publicly displaying performance metrics, it can create psychological resistance due to the feeling of being monitored. However, if you design the system to ensure that actions and processes—rather than just results—are presented fairly, and clearly demonstrate the benefits to team members to gain their buy-in, you can minimize resistance.
Q: How can we track field sales (door-to-door sales) activities?
It is effective to track the number of visits as a leading indicator and automate log using automatic location detection. Viewing visit data on a map-based UI reveals areas with high concentration or gaps in coverage, which helps optimize visit planning.
Q: When starting a visualization initiative, which metrics should you track first?
While it depends on your objectives, it’s often easiest to start with outcome metrics—such as the order conversion rate—and behavioral metrics—such as the number of sales meetings and customer visits. In field sales, the number of customer visits serves as a leading indicator, so we’ll use this as a starting point and gradually add behaviors and processes.
A full overview of the benefits and best practices of the introduction of the system
