It is essential to understand consumer behavior, even when they are not yet customers. The visitation and lead generation phase encourages research and evaluation of leads, consumers, customers and their purchasing preferences during forecasting.
This information serves as a basis for understanding more about the target audience and outlining future goals and objectives taking into account their movement in all environments inside and outside the company.
The internet is full of disconnected and decentralized information about consumers' shopping habits and research. Using intelligence tools to capture, filter and analyze a large volume of data can be added to the analysis process carried out by the forecast.
As a result, financial planning tends to be leaner, list building for mlm clearer and more objective, regarding marketing and sales practices, including investments in campaigns and promotional and discount actions in the final phase of the sales funnel .
Investment forecast
Let's assume that the company wants to invest in information control and management tools, acquiring specific systems to transform data into information and does not yet know whether it will have enough profit for an expensive acquisition.
Forecasting helps to make this decision without limiting the manager to buying only after the money comes in. There will always be business risks — which in a way is healthy for competitiveness — but financial forecasting makes it possible to make investments to accelerate the growth process without affecting cash flow.
Step by step guide to correctly applying the sales forecast
The correct application of sales forecasts and solid revenue forecasts depends on the use of specific indicator data, such as average ticket, conversion rate and average sales value . We will now find out what each of these means.
Average sales ticket
The average purchase value of each customer corresponds to the average ticket, that is, the value of sales per customer divided by the total number of completed sales, will be used in applying the forecast.
The average ticket can be calculated using two simple formulas:
Average Ticket = gross revenue / sales volume
Or