How to Make Sales Forecast With Marketing Plans

Updated on October 31, 2024
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When it comes to driving a business towards success, few things are as interconnected as sales forecasts and marketing efforts. Knowing how to make a sales forecast allows businesses to predict future sales. 

Plus, an accurate forecast is crucial for planning inventory, budget, and staffing needs. On the other hand, marketing efforts are all about promoting products or services to boost those sales. The magic happens when these two elements work in sync, offering a roadmap for growth and stability.

Why is a sales forecast important?

Sales forecasting is essential for brand marketers as it informs marketing strategy, enables effective budget allocation, and enhances campaign planning. It fosters better coordination with sales teams by aligning marketing efforts with sales goals, allowing for targeted content creation. Additionally, it provides benchmarks for measuring marketing performance and supports product development by identifying growth opportunities. Overall, accurate sales forecasts ensure that marketing initiatives are strategically aligned with business objectives, maximizing their impact.

Read more: How Forecasting Helps Brands Drive Optimal Profitability

How to make sales forecast accurate with marketing plans

Imagine launching a new product but not telling anyone about it. Sounds like a recipe for a warehouse full of unsold inventory, right? That’s where marketing plans come in – they’re the megaphone that announces your product to the world. 

However, a marketing plan doesn’t just drive interest for new products, it also helps:

  • Seasonal brands align funding for distribution and supply chain management with their seasonal marketing efforts. 
  • High-base businesses drive the greatest marginal revenue on every marketing and distribution effort.

Marketing mix modeling helps align sales and marketing forecasts and allows businesses to ensure that their: 

  • Annual marketing plan matches the sales projections.
  • Promotional efforts are not just driving immediate sales, but also contributing to long-term business goals. 
  • Sales teams are equipped with insights from detailed marketing analysis and are better prepared to meet the demands of their target audience, leading to more accurate sales forecasts and a boosted bottom line.

Keep reading: How to Create a Marketing Plan Financial Forecast

Leveraging historical data to improve your sales forecast

Businesses that understand how to make a sales forecast report use historical data with current marketing plans. This dual approach not only offers a glimpse into past sales performance but also provides insights into how changes in marketing strategy and consumer behavior impact sales. By correlating historical data with current market conditions, companies can formulate more accurate and robust sales forecasts.

Historical sales data is the backbone of predictive analytics, enabling businesses to optimize future marketing spend based on past patterns. This data includes: 

  • Sales volumes, 
  • Revenue figures, 
  • Customer purchase behavior 
  • Seasonal trends 

By analyzing this information, companies can identify patterns and trends that are likely to repeat, and forecast marketing plans. For instance, if a product has shown a consistent increase in sales during the holiday season for the past few years, it’s safe to predict a similar uptick in the upcoming season and get the holiday planning right. 

Similarly, analyzing sales dips can help in adjusting stock levels or marketing strategies to mitigate potential losses. The integration of robust software tools enhances this process, allowing for the assimilation of vast datasets and precise analysis to inform decision-making.

How to create an accurate sales forecast

Here’s a simple 5-step guide to building an accurate sales forecast:

  1. Define Your Goals: Determine what you want to forecast (e.g., total revenue, specific product sales) and the time frame (monthly, quarterly, or annually).
  2. Gather Historical Data: Collect past sales data, market trends, and any relevant economic indicators that could influence future sales.
  3. Analyze Trends: Identify patterns in the historical data, such as seasonality or growth rates, to inform your projections.
  4. Choose a Forecasting Method: Select a suitable method based on your data. This could be quantitative (using statistical analysis) or qualitative (based on expert opinions).
  5. Calculate and Review: Apply your chosen method to project future sales, then review and adjust your forecast regularly based on actual performance and changing market conditions.

Case study: Successful sales forecasting with marketing strategies

A closer look at businesses that have successfully understood how to make a forecast for sales with marketing strategies reveals a pattern of targeted approaches and the adept use of technology. These case studies often highlight not just the synergy between sales and marketing teams but also the innovative use of analytics and market research. For example, a challenger brand used the Keen Platform to forecast sales and drive more profit and revenue with less investment.

Common sales forecasting challenges

Despite the best efforts, companies often encounter challenges in predicting sales, leading to inaccuracies and missed opportunities. Some common pitfalls include:

  • Over-reliance on historical data and intuition without considering market changes.
  • Failure to integrate sales forecasts with current marketing strategies.
  • Lack of communication between sales and marketing teams.
  • Neglect of external factors such as economic shifts, competitor actions, and regulatory changes.

To avoid these pitfalls, businesses should embrace a holistic view of sales forecasting that incorporates both internal data and external market analysis. Regular updates and reviews of forecasts are crucial, as they allow for adjustments based on new data and market feedback. 

Enhancing sales forecast accuracy requires a multifaceted approach that includes the strategic use of historical sales data, integration with up-to-date marketing analysis, and regular updates to the model. 

Tools and software for integrating sales forecasts into marketing plans

Integrating sales forecasts into marketing plans doesn’t have to be a daunting task. Using sales forecasting software like the Keen Platform makes this seamless, enhancing the collaboration between sales and marketing teams. 

Our software integrations and easy-to-use data management APIs stand out for their ability to streamline processes and improve accuracy in forecasts. This allows for the automation of data collection and reporting, significantly reducing the time spent on manual data entry and increasing the time available for strategic analysis.

The key benefits are:

  • Automatically update sales forecasts based on real-time marketing performance.
  • Streamline communication between sales and marketing teams, ensuring both have access to the latest data.
  • Enhance demand planning by incorporating detailed marketing analysis into the marketing forecasting process.

With these capabilities, companies can move beyond simple predictions and towards creating more strategic marketing plans that are directly tied to sales forecasts, enabling a more dynamic approach to targeting and customer engagement.

Continuously refining your sales forecast with marketing insights

The key to effective sales and marketing synergy is the ability to quickly and accurately share data between teams. The Keen Platform software excels in this area, offering robust integrations with various sales and marketing tools, helping teams overcome the conflict that often exists. 

How AI makes sales forecasting easier

The dynamic nature of the market means that sales forecasts need to be regularly updated to remain relevant. Incorporating marketing insights into this updating process is crucial for maintaining accuracy. Thankfully, machine learning-driven MMM platforms like Keen offer tools that help refine forecasts by analyzing the impact of marketing strategies in real time. The user-friendly interface of the platform makes it a breeze to learn how to make a sales forecast for a business plan.

The platform’s AI reports enable quick insights and standardized report decks for key stakeholders in the organization. These AI reports can analyze vast amounts of data and industry benchmarks to identify trends, opportunities, and potential threats, helping develop a successful marketing mix strategy.

Furthermore, standardized report decks make it easier to communicate these insights with key stakeholders in the organization, ensuring that everyone is on the same page and can make informed decisions. By leveraging these reports, businesses can:

  • Identify which marketing strategies are driving sales and adjust forecasts accordingly.
  • Discover new marketing opportunities or emerging challenges that could affect sales outcomes.
  • Maintain a high level of accuracy in marketing sales forecast by spend by constantly refining them based on the latest market data.

Real-time insights generated by AI in the Keen platform

Incorporating AI-driven insights into the sales forecasting process not only improves its accuracy but also enhances the overall strategy-planning process within an organization. This ongoing refinement ensures that businesses stay ahead of market trends and can adjust their approaches in a timely manner, maximizing opportunities for growth and reducing the risks associated with inaccurate forecasting.

Create synergy between sales forecasting and marketing with Keen

Unlocking the full potential of your business strategy significantly hinges on learning how to make a sales forecast while creating a synergy with marketing . When the marketing and sales teams are aligned, the result is not just an enhancement in forecast accuracy but a robust, agile strategy that’s more attuned to market realities and customer needs. This collaboration empowers businesses to navigate market complexities with greater confidence and precision, ultimately driving performance and growth.

By leveraging the power of marketing mix measurement tools, like those offered by Keen, businesses can elevate their sales forecast and transform their marketing strategies from good to great. These tools allow for:

  • Predictability: Emphasizing data-driven marketing that maps out future scenarios with precision.
  • Repeatability: Crafting strategies that can be replicated across different markets and customer segments.
  • Scaling: Ensuring strategies are flexible and scalable to meet growing business needs.

Integrating sales forecast practices with Keen marketing analysis, particularly utilizing advanced platforms, not only bolsters the accuracy of sales predictions but also enhances the overall effectiveness of marketing plans. This synergy is the cornerstone of a successful, forward-thinking business strategy.

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