SBI | GTM Insights

Developing Accurate Sales Forecasts

Written by Norman Behar | Nov 13, 2023 6:00:00 AM

Sales forecasting is not just another corporate chore. It is the cornerstone of informed decision-making and the financial roadmap that keeps your organization on course. However, many managers wonder if they need to take on this responsibility. Let’s explore who should be in charge of sales forecasting, why it is so important, and how to engage your team to gain unique insights.

Why is Sales Forecasting Important?

Here are 5 reasons why forecasting is essential for any sales organization.

1. Strategic Decision-Making

Sales forecasting serves as the foundation for making informed and strategic decisions. It provides the insights to set targets and shape the sales team's strategy. Without a reliable forecast, you are essentially navigating blindfolded.

2. Resource Allocation

A precise sales forecast helps you distribute resources efficiently. Whether assigning sales reps to specific opportunities, setting marketing budgets, or planning inventory, your forecast ensures that resources are used where they will have the most impact.

3. Performance Measurement

Sales forecasting provides a benchmark against which actual performance can be measured. It is not just about holding people accountable; it is about identifying areas for improvement and celebrating successes.

4. Budgeting and Financial Planning

Your financial health relies on accurate revenue projections. You can plan budgets, set financial targets, and manage cash flow effectively with a reliable sales forecast.

5. Risk Mitigation

In business, there is always an element of risk. However, sales forecasting helps you manage that risk. By foreseeing potential challenges, you can take proactive steps to mitigate them. Whether adjusting your strategy or diversifying your product offerings, a good forecast gives you a heads-up on the road ahead.

Who Is Responsible for Sales Forecasting?

The primary responsibility for sales forecasting falls on the shoulders of the sales manager. While sales reps are closest to the customers and individual opportunities, the sales manager ultimately holds the key to a precise forecast.

Sales managers have the dual responsibility of preparing forecasts and ensuring they are accurate. Creating accurate predictions involves a three-step process:

1. Objective Criteria

Each stage of the sales pipeline needs clear, customer-driven criteria. For instance, defining a proposal stage should not be limited to submitting a proposal; it should include customer-centric actions, like scheduling a review meeting. Think objectivity and customer focus at each forecast stage.

2. Win Rate Analysis

Understanding historical win rates is vital. If 35% of proposals in your pipeline historically result in closed business, that is your win rate to apply. This factor ensures a realistic projection.

3. Velocity Tracking

To avoid "bloated pipelines," setting time limits for each pipeline stage is crucial. Stale opportunities should be eliminated from the forecast. A proposal, for example, might reasonably stay in that stage for around 30 days. However, if an opportunity surpasses this threshold without advancement, it is time to reset the clock.

Why Should Sales Managers Be Developing Sales Forecasts?

Relying solely on sales reps to generate forecasts is risky. As driven as they may be, sales reps often differ in their outlook.

Optimistic reps might overestimate deal closure percentages and timelines, while more conservative ones may underestimate, sometimes indulging in "sandbagging." This disparity necessitates the involvement of sales managers who must bring objectivity into the mix.

How Can Sales Reps Support Managers During Sales Forecasting?

While managers play a crucial role in the process, sales reps can contribute significantly to the accuracy and effectiveness of forecasts.

Here are 5 ways sales reps can support managers during the sales forecasting journey.

1. Accurate Data Entry

Sales reps are the ones in direct contact with customers and opportunities. Their responsibility is to ensure that all relevant information is accurately entered into the CRM system. This includes details about leads, deals, and the progress of each opportunity.

2. Clear Communication

Sales reps should keep their managers updated on the status of deals, potential roadblocks, and any changes in customer circumstances. By fostering transparent dialogue, sales teams can ensure forecasts are based on the most current and relevant information.

3. Realistic Deal Assessment

Sales reps can provide honest assessments of the likelihood of deal closures and the expected timelines. Reps can contribute to a more accurate forecast by avoiding over-optimism or undue pessimism. Clear-eyed assessments help set realistic targets and manage expectations.

4. Customer Insights

Sales reps have a direct line to customers and can offer valuable insights into customer behavior, market trends, and changing needs. Sharing these insights with sales managers can help fine-tune the forecast and adapt sales strategies to evolving customer demands.

5. Feedback Loop

Sales teams should establish a feedback loop where sales reps can give input and feedback on the forecasting process. Their on-the-ground experiences can lead to process improvements, making the forecast more effective and relevant.

Conclusion

In sales, forecasting is a practical necessity, not just another task. It guides your strategic decisions, helps allocate resources efficiently, measures performance, facilitates budgeting, and aids in risk management.

The sales manager’s role is critical in ensuring accurate forecasts. Sales managers can follow a three-step process that brings objectivity into forecasting: objective criteria, win rate analysis, and sales velocity tracking.

However, while the primary responsibility for sales forecasting rests with sales managers, it is essential to note that this isn't a solitary endeavor. Being close to customers and opportunities, sales reps play a crucial role. Their interactions and data collection are instrumental in ensuring the forecast's accuracy.