Visualize optimal targets with AI and data, and realize a supportive inside sales foundation that increases deal conversion rates and LTV.
**Benefits** - Establish a system that quantifies the ideal customer profile and allows concentration on high-conversion opportunities. - Re-evaluate leads using AI, continuously operating from lead generation to deal creation. - Quickly maximize CVR, deal conversion rates, and LTV while supplementing labor shortages. 'PROBiZZ' provides a target determination model based on an AI engine that has learned from tens of thousands of sales contact data and deal results, tailored to industry and product characteristics. During implementation, past leads are rapidly cleansed, enhancing data quality through deduplication and attribute completion, visualizing high-accuracy ICP and priorities within a week. Through bidirectional collaboration with MA, we continuously update scores, automatically issue tasks, and learn from the results of calls and emails on a daily basis. Dedicated consultants and operations teams work alongside to design and implement the verification, improvement, and expansion of ABM hypotheses on a quarterly basis, taking responsibility for behavioral changes in the field. Security complies with P Mark standards, ensuring safety through minimal design of personal information and encryption, while the learning model supports decision-making with explainability metrics. 'PROBiZZ' possesses operational know-how that balances short-term deal creation with medium- to long-term LTV enhancement, achieving continuous improvement through reports that demonstrate cost-effectiveness in numerical terms.
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From the first month of implementation, the priority of existing leads becomes clear, reducing unnecessary approaches and allowing sales efforts to focus on companies with a high likelihood of turning into deals. AI integrates industry trends and signals to suggest optimal timing, increasing response rates for calls and emails, and reducing the cost of acquiring initial contacts. By simultaneously improving both the quality and quantity of deals without increasing manpower, it becomes easier to achieve short-term numbers while also developing a mid- to long-term pipeline. Essential decision-making materials for ABM are visualized on a dashboard, facilitating smooth cross-department collaboration with common KPIs for marketing, sales, and customer success. By quantitatively sharing winning strategies for deals, improvements to scripts and playbooks can be made, leading to a reduction in onboarding time. Continuous A/B testing and model updates help maintain performance without degradation, allowing for high levels of LTV and ROI while minimizing reliance on advertising. **Strengths and Features** - Continuously improves target accuracy and deal conversion rates through AI and supportive operations, maximizing results. - Enhances data quality and operational efficiency in a bundled manner through bidirectional integration with CRM/MA. - Achieves sustained growth and clarifies return on investment through reports that visualize results numerically and improvement cycles.
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In this article, we will guide you on how to translate the target setting concepts and successful case studies introduced into specific actions optimized for your company's market and products, using a free diagnostic report based on real data and an implementation manual. Please start your journey towards achieving results by downloading the materials from 'PROBiZZ' or scheduling a one-on-one consultation. Currently, we are also including a collection of success patterns and an evaluation checklist that can be used directly for internal proposals, and same-day reservations for the initial limited online demo are available.
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Applications/Examples of results
- Import lead and deal history from the past three years, automatically perform deduplication, attribute completion, and assign purchase signals, share the ideal customer profile and priority by industry on a dashboard, and from the following week, start a first contact approach with optimized scripts only for high-scoring companies, while automating the measurement of the activity levels of the representatives to visualize inconsistencies. - The marketing side will rearrange white papers and webinar initiatives according to the personas, issues, and timing suggested by AI, while the sales side will strengthen contacts through a multi-touch approach integrating calls, emails, and LinkedIn, with response rates and conversation logs learned by the next day and reflected in the next priority list, and the flow for complementing BANT deficiencies will also be templated. - After receiving an order, collaborate with customer success to score usage levels and churn risks, automatically detect signs of upselling and cross-selling, and sales will present proposals based on success stories of implemented companies to the ABM list, update winning strategies in monthly reviews, achieve both an increase in LTV and a decrease in churn rate simultaneously, and simultaneously deploy initiatives to induce referrals with a high order probability.
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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.