Its main goal and essence is to make sales transparent and use this information for effective work with clients. So how can this help?
Solving problems during purchase
The best option would be to analyze all transitions and find weak points, because of which some customers refuse to purchase. Let's assume that the percentage ratio is as follows:
90% of people came through the ad but did not leave a request. Perhaps because of the unconvincing offer.
Of those who left a request, 70% did not visit the store. One of the reasons was the high price, which they learned about in a conversation with the manager.
About 66% did not make a purchase kazakhstan phone data even when they went to the store. Maybe the product they needed was not there. Or in reality it was not what they imagined.
Thus, it turns out that only 100 people out of 10,000, that is, only 1%, reached the payment stage.
Solving problems during purchase
Source: shutterstock.com
Other examples of what else could go wrong:
Online advertising has the wrong message - maybe there is no minimum price. This leads to a lot of non-targeted conversions, and the PR costs are not recouped.
The sales department cannot cope with a large number of requests. There are two reasons for this: either too low productivity or insufficient personnel for the current traffic. These are the funnels that can help in assessing the effectiveness of managers.
Control of sales specialists' work
The data for this funnel shows at what stage each employee's clients are being dropped.
Let's consider the following situation: 100 applications are received per week from advertising, but only 10 of them result in a purchase. Funnel analysis shows that most contracts are targeted, and the biggest losses occur after contacting the manager. The reasons may be different: unresolved objections, insufficient information about the product, etc.
Sales information will help you conduct an audit and find out the following:
where do solvent clients come from;
at what stage do they leave;
which managers close deals better/worse than others;
at what stage deals fail, what sales processes need to be optimize