Learn how to forecast your eCommerce growth

In a world full of AI tools, you don’t need complex algorithms or fancy solutions to make quick forecasts.

By analysing key metrics like historical sales data, website traffic, conversion rates, and average order values, you can create an actionable growth forecast. It doesn’t have to be scary to start forecasting your business’s future.

Understanding these metrics helps optimise marketing efforts, allocate resources, and set realistic goals. Additionally, tracking seasonal trends and market conditions refines your projections. 

This article guides you through the step-by-step process of forecasting eCommerce growth, providing practical tools and tips to help your business thrive in the competitive online marketplace.

Analysing Historical Sales Data

Your historical sales data is a goldmine of information. It reveals patterns and trends that are crucial for making future projections. By understanding your past performance, you can identify what worked and what didn’t, allowing you to make more informed decisions.

To begin, gather all your historical sales data. This includes total sales, number of orders, and sales by product category. Use spreadsheet software like Excel or Google Sheets to organise this data. Once organised, look for trends such as:

• Monthly/Yearly Sales Growth: Compare sales over different periods.
• Best and Worst Performing Products: Identify which products drive most of your sales.
• Sales Peaks and Valleys: Determine when you experience higher or lower sales.

Understanding these trends will help you forecast future sales more accurately.

Evaluating Website Traffic

Website traffic is a key indicator of your business’s online presence and potential sales. Use tools like Google Analytics, SEMrush, or Ahrefs to track your website traffic. These tools provide detailed insights into visitor numbers, behaviour, and more.

Analyse your traffic sources to understand where your visitors are coming from. Common sources include:

• Organic Search: Visitors finding you through search engines.
• Paid Search: Visitors from your paid advertising campaigns.
• Social Media: Traffic from platforms like Facebook, Instagram, and Twitter.
• Referral Traffic: Visitors from other websites linking to yours.

Identify patterns in your traffic data. For example, do you see spikes in traffic during certain times of the year or when you run specific campaigns? This information will help you forecast future traffic and potential sales.

Additionally, benchmark your conversion rate against industry standards to see how you stack up. Websites like WordStream and HubSpot provide valuable data on average conversion rates across various industries. Comparing your performance to these benchmarks can help you identify areas for improvement and set realistic goals.

Calculating Conversion Rates

Defining Conversion Rates and Their Significance

A conversion rate is the percentage of visitors who take a desired action on your site, such as making a purchase. It’s a crucial metric for understanding how effectively your site turns visitors into customers. 

If you have expected sales for a specific month, you can estimate an uplift in the conversion rate based on historical data from similar sales periods. Look at past performance during similar promotions or events and adjust your conversion rate expectations accordingly. This helps you create a more accurate forecast for those peak times.

Methods to Calculate and Improve Conversion Rates

To calculate your conversion rate, use the formula: 

Conversion Rate = ( Number of Conversions / Total Number of Visitors​ ) × 100

For example, if you had 500 conversions from 10,000 visitors, your conversion rate would be 5%. 

When looking at conversion rates, consider any upcoming sales or events. If historical data shows a 10% increase in the average conversion rate during similar sales periods, factor this into your forecast. For instance, if your usual conversion rate is 5%, and you expect a 10% uplift, your new estimated conversion rate would be 5.5%.

To improve your conversion rates:

• Optimise Your Website: Ensure a user-friendly, fast-loading site.
• A/B Testing: Experiment with different designs, headlines, and calls to action.
• Enhance Product Pages: Provide clear, detailed product descriptions and high-quality images.

Assessing Average Order Value (AOV)

The Average Order Value (AOV) represents the average amount spent each time a customer places an order. It’s a critical metric for forecasting revenue and profitability.

To calculate AOV, use the formula: 

AOV = Total Revenue​ / Number of Orders

To increase AOV:

• Upsell and Cross-Sell: Recommend higher-priced items or complementary products.
• Bundle Products: Offer discounts on bundled products to encourage larger purchases.
• Implement Loyalty Programs: Reward repeat customers with discounts or free shipping.

Incorporating Seasonal Trends

Seasonal trends significantly impact eCommerce businesses. Analyse your historical sales data to identify patterns related to holidays, seasons, or other events.

Take into account major sales periods of the year, such as Afterpay sales in March and August, Black Friday, Christmas, and the End of Financial Year (EOFY). These periods often see spikes in sales and should be factored into your forecasting to ensure accuracy and preparedness.

Adjusting Forecasts Based on Seasonal Variations

Adjust your forecasts to account for these variations by re-evaluating key metrics like conversion rates and historical data on traffic. For example, if you typically see a 20% increase in traffic during the holiday season, incorporate this uplift into your forecast. Look at past conversion rates during these peak periods and adjust accordingly.

Consider industry trends and seasonal uplifts as well. For instance, if industry data shows a trend of increased online shopping during Black Friday, use this information to predict a similar uplift for your business.

To make these adjustments:

• Revisit Conversion Rates: Look at past holiday season conversion rates and adjust your current forecast. If your conversion rate was 5% last holiday season and you expect similar conditions, use this rate in your forecast.
• Analyse Historical Traffic Data: Check traffic increases from previous years during major sales periods. If you had a 30% traffic increase during last year’s Black Friday, plan for a similar uplift.
• Incorporate Industry Trends: Use industry reports and trends to anticipate market behaviour. If reports suggest a 15% rise in online shopping during a specific period, adjust your forecast to reflect this trend.

Monitoring Market Conditions

External factors like economic conditions, industry trends, and competitor actions can impact your growth. Staying informed about these factors helps you make more accurate forecasts.

To stay updated:

• Industry News Sites: Regularly visit sites like Search Engine Land, eMarketer, and Retail Dive for the latest industry news and trends.
• Google News Alerts: Set up Google News alerts for relevant keywords such as “eCommerce trends,” “online shopping,” and “digital marketing.”
• Market Research Reports: Access reports from firms like Statista, Nielsen, and Forrester for in-depth market analysis.
• Social Media and Forums: Follow industry leaders on LinkedIn and Twitter, and join forums and groups related to eCommerce.
• Competitor Analysis: Keep an eye on your competitors’ activities through their websites, social media, and press releases.

Adapting Forecasts to Market Changes

Regularly review and adjust your forecasts based on market conditions. Business plans typically call for 6-12 month forecasts, but since we don’t have a crystal ball, it’s important to remain agile. Aim to review trends and forecasts monthly and quarterly to stay in the loop and reflect market trends throughout the year. This agility will help you stay competitive and responsive to changes in your industry.

Step-by-Step Guide to Combining Metrics

1. Compile Historical Data: Gather sales, traffic, conversion rates, average order value (AOV), cost per click (CPC), and click-through rate (CTR%) data.
2. Analyse Trends: Look for patterns and seasonal trends. For example, examine performance by hour and day—are weekdays better than weekends? Identify the best times to push spend to maximise performance.
3. Set Baseline Forecasts: Use your historical data to set initial projections of performance forecast data.
4. Incorporate External Factors: Adjust for market conditions and competitor actions.
5. Refine Forecasts: Continuously update your forecasts with new data.

Utilise tools like Excel, Google Sheets, or specialised forecasting software to create your growth forecast. Templates can help simplify the process and ensure all relevant data is included.

Practical Tips for Accurate Forecasting

Common Mistakes to Avoid

• Ignoring Data: Always base your forecasts on actual data, not assumptions.
• Overcomplicating the Process: Use simple calculations and tools.
• Failing to Adjust: Regularly update your forecasts with new data.

Best Practices for Continuous Improvement

• Regularly Review Data: Make it a habit to review and update your data.
• Stay Informed: Keep up with industry trends and market conditions.
• Seek Feedback: Use customer feedback to improve your forecasting accuracy.

Accurate forecasting is a powerful tool that can drive your eCommerce success. By leveraging simple calculations and understanding key metrics, you can create realistic and actionable growth projections. 

This empowers you to make informed decisions, optimise your strategies, and ensure your business thrives in a competitive landscape. While we can’t predict the future with certainty, using our performance data allows us to make informed decisions daily and weekly. 

By following these simple forecasting steps, you can be proactive about your spend and performance, providing a solid foundation for your eCommerce growth and achieving sustainable success.

If this process seems overwhelming, reach out to us at the Digital Oasis. We can assist with forecasting and help your business meet its goals. Let us help you navigate the complexities and optimise your ad spend for the best results.