A customer can't often decide to buy immediately after viewing an ad or description of an offer. In many cases, making a purchase decision, especially in a subscription-based (SaaS) business model, requires direct experience with the product. In such conditions, a significant part of the customer acquisition task falls on the product itself.
Test launches and trial version activations
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Analysis of test launches and installations is critical for assessing the effectiveness of the sales department: the more of them, the higher the chances of attracting "ready to buy" clients at the next stage. In addition, this allows you to receive a large volume of feedback from the target audience.
Consumers who progress japan email list to this level of the sales funnel are usually more easily converted into transactions than those who only showed interest through advertising or visited the USP page. Analyzing the monthly dynamics of this indicator is a powerful tool for monitoring the effectiveness of the existing sales funnel.
Improving conversions also helps you better understand your ideal buyer persona and the best offer for them.
Sales structure
The best metrics for sales analysis include closed deal data. They can help you identify the most effective channels for successfully closing deals. For example, you can determine which types of interactions most often lead to sales: cold calls, emails, or personal contacts.
It is important to know which communication method is most effective. First impressions play a key role in the decision-making process, as there may not be a second chance to impress. An email that is poorly designed and written can permanently ruin the perception of your company.
When sales staff receive data on the types of contact options with the target audience that lead to successful deals, they can be directed down the right path early in the process.
Case: VT-metall
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Average conversion time
The time period required for a customer to move from the interest stage to making a purchase is measured by the average conversion time metric. To calculate it, the period spent by each lead to make a purchase is taken into account. Then, based on the collected data, the average indicator is calculated.