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 indonesia email list purchase 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.