1. Method – Lead Value
The Lead Value sales forecast model involves a careful analysis of your lead source’s historical data. Combined with AI lead generation insights, take the data points you get from this analysis to create a new forecast. The start of every customer’s journey can tell us much about how they’ll end their journey. You want to assign a value to each of your lead types or sources so you can get a better sense of the probability that each lead will bring to your business in terms sales or revenue. You’ll need:
- Average sale price by source.
- Leads per month for the historical data.
- Lead source lead to customer conversion rate.
There are a few calculations that come into play once you have these metrics in mind.
- Average Sale Per Lead Calculation – In order to get your average sale by lead, you simply have to analyse your data set for all of your customers and divide them up by source. For example, customers who request a demo could earn you $1,500 per customer while any lead from your website earns you $1,000 per customer.
- Average Lead Value Calculation – To get your average lead value, you multiple your average sale price by the average close rate for each lead source. For example, if you run a paid advertising scheme, and your leads from that earn you $2,000 at a 10% conversion rate, every lead would be worth $200.
- Number of Leads – You also want to know your number of leads, and you get this by dividing your total revenue goal by your average lead value. Say that your team achieved monthly revenue of $100,000 with an average lead value of $200. If you divide 100,000 by 200, you’d know that you would have had to generate 500 leads to hit your $100,000 revenue goal.
2. Method – Opportunity Stage
This method allows business owners to predict what opportunities are more likely to convert or close based on each stage of the customer’s journey. The further along the sales pipeline the person gets, the higher the chance is of closing the sale. For example, you could find that potential customers who schedule a call are 15% more likely to become your customers, but the customers who get to the demo stage are 35% more likely to convert.
The first step is to pick out a reporting period, and this can be monthly, quarterly or yearly. It depends on your sales team’s quota and your business’ sales cycle. Then multiply each deal’s value by the probability that it’ll happen and close. So, if you had a $1,000 potential deal with a closure probability of 40%, you’d get a forecasted amount of $600. When you have a total for every deal in your sales pipeline, add it up to get your complete forecast.
3. Method – Historical Forecasting
One of the most straightforward methods of sales forecasting is using historical forecasting. Look at your matching historical time period and assume you’ll get results that are either the same or slightly greater. However, you should use this as a benchmark prediction because it can vary from month to month.
For example, if your team sold a total of $80,000 through the month of October, you’d assume that they would sell at or around the same level going into November. If you look at your historical growth, you can make a more sophisticated sales projection. Let’s say you look at your historical data and you see positive growth of 6% to 8% each month. You could put out a conservative sales projection for November of around $84,800 based on your data.
4. Method – Multi-Variable Analysis Forecasting
One of the most sophisticated financial projections methods involves using predictive analysis. It draws from several factors, such as closing probability based on your lead type, average length of the sales cycle and sales team performance. Take a look at the following example.
You have a pair of sales reps who are both working on one account. Your first representative has a meeting on Friday with procurement, and your second representative just went before the buying committee and gave her very first presentation. If you look at your first representative’s success rate for this point in the sale process and combine it with the number of days left in the quarter and the deal size, he’s almost 40% more likely to close. This gives you a forecast of around $9,600.
Your second representative is only in the opening stages of the sale process, but her deal is much smaller and she has a higher close rate than the representative one. She’s 40% likely to make the sale, and this gives you a forecast of $9,000. When you combine these two numbers, your quarterly sales forecast for the two is $16,400.