[Secrets to Increasing Sales] Deep Dive into Targets with Inside Data

basic information

By integrating and analyzing inside customer data and scoring purchase likelihood, we can clarify the priorities that sales should pursue. We delve into common needs and trends of customers based on past success and failure data to design personalized approach strategies. By identifying the optimal timing for approaches based on data, the efficiency of sales activities increases, and unnecessary labor is reduced. By deeply understanding the target, it becomes possible to accurately draw out potential issues of customers during negotiations, thereby improving the quality of proposals. Collaborating with the marketing department based on the results of data analysis continuously improves the quality of leads supplied to the inside team. By establishing a data analysis framework within the organization, a reproducible sales generation foundation is created that does not rely on specific outstanding personnel. 【Strengths and Features】 ■ High-precision targeting leveraging inside data ■ Personalized strategy design based on customers' latent needs ■ A data-driven system that balances revenue enhancement and organizational establishment

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Are you able to utilize your inside customer data as a weapon for increasing sales? 'PROBiZZ' has revealed the secrets to deepening target insights based on inside data analysis. It is packed with know-how for pinpointing high-accuracy customers and concentrating sales resources effectively. We will help you establish data-driven sales techniques within your organization, eliminate dependency on individuals, and achieve sales growth. Download the materials now to discover the secrets to increasing sales through deep insights from inside data.

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Applications/Examples of results

- A SaaS company that had not been utilizing inside data implemented data deep-dive support from 'PROBiZZ', integrating web behavior data and CRM data to AI-score customer accuracy. As a result, the prioritization of business negotiations became clear, leading to a 20% improvement in the closing rate of field sales. - A financial services company facing challenges in deepening relationships with existing customers due to a lack of sales resources utilized 'PROBiZZ's data analysis expertise to identify customers showing signs of churn and those expected to engage in upselling and cross-selling. By focusing on high-probability customers, sales representatives were able to increase revenue from existing customers by 1.5 times in a short period. - A manufacturing company that had not advanced data collaboration between departments built a system to link inside data with marketing data with the support of 'PROBiZZ'. By executing a personalized approach tailored to target companies based on data, the quality of leads improved, and overall productivity in the sales process increased.