Practical Techniques: Improving Target Accuracy with SQL Utilization
We will reveal the practical methods of a company that reviewed the definition of SQL, reduced unnecessary sales effort, and increased the conversion rate of business negotiations.
**Benefits** - Stable increase in the number of deals acquired through improved SQL accuracy - Reduction of unnecessary responses in inside sales - Prioritized approach to high-probability targets 'PROBiZZ' dramatically enhances targeting accuracy and sales efficiency by optimizing the definition of SQL (Sales Qualified Lead). Unlike traditional subjective criteria, it allows for the design of SQL evaluations based on numerical and behavioral standards, enabling accurate lead assessment across the entire organization. Additionally, by utilizing call logs and data from past cases, it achieves precise condition design and continuous PDCA (Plan-Do-Check-Act). This establishes a system that only hands over high-probability leads to sales, significantly contributing to improvements in deal conversion rates and order rates. Furthermore, 'PROBiZZ' also supports the customization of SQL definitions according to industry and product characteristics, allowing for immediate results post-implementation. 'PROBiZZ' provides comprehensive support from SQL definition to operational improvement, structurally enhancing your company's sales capabilities.
basic information
If the accuracy of SQL improves, the waste in sales activities will drastically decrease, allowing for a focus on targets that directly lead to contracts. 'PROBiZZ' defines the criteria for SQL based on behavioral logs and customer attributes, enabling data-driven sales. In inside sales, we prioritize only the cases that should move to the next phase without allocating resources to low-probability leads. This allows for efficient allocation of on-site resources, improving both the meeting setup rate and the quality of meetings. The definition of SQL is not a one-time task; it is designed to continuously improve accuracy through ongoing analysis. By implementing 'PROBiZZ', the path to closing deals becomes clearer, optimizing sales strategies. 【Strengths and Features】 ■ Clarification of judgment criteria through numerical definition of SQL ■ Establishment of optimal processes in collaboration with the sales field ■ High-precision targeting based on historical data
Price information
Are you struggling with repeatedly approaching potential customers without seeing results, and experiencing low conversion rates that are exhausting your sales team? With the introduction of 'PROBiZZ', why not redefine your SQL and significantly improve the accuracy of your target selection and the efficiency of your sales resources? Please take a look at our materials first.
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Applications/Examples of results
- Design SQL criteria based on customer inquiries and behavior logs to efficiently extract high-quality leads and pass them to the sales department. - Share and collaborate on SQL definitions as a bridge between the marketing and sales departments, achieving improved order rates and activities that are convincing to the sales field. - Establish a system to regularly update and improve optimal SQL criteria by running PDCA based on past negotiation logs and contract data, categorized by industry and representative.
