We will thoroughly introduce the process of understanding the definition of SQL and enhancing the quality and outcomes of lists, along with examples.
**Benefits** - Improved deal closing rates through SQL-focused filtering - Efficient extraction of promising leads - A results-driven list completed in a short period 'PROBiZZ' emphasizes the clear definition and utilization of SQL (Sales Qualified Lead) in creating lists to maximize sales results. By narrowing down not just by lead count but by conditions such as "currently active" and "involved in decision-making," a more practical approach becomes possible. 'PROBiZZ' is designed to analyze the likelihood of deals and order trends by industry, allowing for the optimal target audience to be listed. Furthermore, based on feedback from the sales field and the processes leading to orders, evaluation criteria and workflows for list creation have been templated. Among the companies that have implemented it, there are examples where re-evaluating the SQL definition has doubled appointment rates, proving that it is designed to lead to results. 'PROBiZZ' serves as a powerful tool for companies that prioritize the quality of targeting, connecting them to deals in the shortest distance possible.
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basic information
To create a high-quality sales list, it is necessary to have a perspective that goes beyond mere data collection and focuses on "who will buy." 'PROBiZZ' organizes the definitions and conditions of SQL, enabling the extraction of targets that can be approached immediately. This reduces unnecessary approaches and improves the overall productivity of sales activities. Additionally, it allows for the quick preparation of lists with a high probability of leading to business negotiations, accelerating the speed of sales initiation. Even if there is no in-house know-how, a system can be established to achieve stable results by following templates and examples. 'PROBiZZ' provides comprehensive support from list building to approach, tailored to the growth phase of the sales organization. 【Strengths and Features】 ■ Support for list creation based on SQL definitions ■ Target extraction design that enhances negotiation probability ■ Implementation possible in a short period using templates
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For those who want to create a sales list that directly leads to results. At 'PROBiZZ', we share successful case studies and practical know-how on target design using SQL. If you are looking to increase your appointment rate or improve your sales efficiency, please start by downloading our materials to check information that can help solve your company's challenges.
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Applications/Examples of results
- Company A, a human resources service provider, improved its appointment acquisition rate by 1.7 times by redefining SQL and reviewing extraction rules, significantly reducing the workload for the sales team. - Company B, a SaaS provider, implemented industry-specific SQL patterns, enhancing targeting accuracy. This reduced unnecessary approaches and doubled the deal conversion rate. - Company C, which deals with educational products, utilized the 'PROBiZZ' templates to organize the initial target list within three weeks, allowing negotiations to start on the same day.
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Company information
Engine Co., Ltd. offers the inside sales support service 'PROBiZZ' to structurally solve sales challenges for companies. Aiming to streamline the sales process and maximize results, customization tailored to corporate needs is possible. An experienced dedicated team handles everything from creating target lists to outreach and setting up business meetings. Through data-driven strategy design and KPI management, continuous improvement and reproducibility of results are achieved. Additionally, we support the visualization and analysis of sales activities by utilizing the latest tools and technologies. With a proven track record across various industries, we provide services backed by reliability and performance. Engine Co., Ltd. offers a new standard of sales support that realizes the "systematization" of sales and the "reproducibility" of results.