技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 设备与机械
适用功能
- 销售与市场营销
用例
- 资产跟踪
服务
- 培训
关于客户
Influitive 是一家成立于 2010 年的多伦多公司,专门从事倡导营销。该公司提供专业服务,帮助其他企业发现、培养和动员他们的拥护者,以加速销售并提高客户终身价值。 Influitive 拥有 200 名员工的团队,从事企业软件和网络解决方案行业。客户管理和增长高级总监乔恩·厄斯金 (Jon Erskine) 是Gong 的长期倡导者。 Influitive 是Gong 的早期采用者,在短暂转向竞争对手后,他们又回到Gong 来优化其销售和保留流程。
挑战
Influitive 是倡导营销领域的先驱,正在寻找一个能够对其销售、增长和客户保留产生重大影响的平台。该公司正在努力寻找可以为导致实质性改进的行动提供信息的见解。之前使用过的Gong平台的缺席,让许多销售代表感觉好像失去了最高效的工具。当 Influitive 转向竞争对手时,他们失去了对销售周期的全面了解,从交易健康状况到谈话轨迹,这以前有助于简化跨部门的工作。替代解决方案的设计似乎没有考虑到销售代表,导致生产力明显下降。
解决方案
Influitive 决定改回使用 Kong,此举使团队恢复了全速运作。该平台提供了增强的分析功能,使销售代表更加积极参与,并使他们能够实时优化新计划和目标。 Kong 的功能让 Influitive 能够清晰地了解所有面向客户的团队,帮助他们实现最佳工作。该平台还支持公司的增长和保留目标,特别是当 Influitive 收购了基于员工倡导的新产品时。凭借增强的分析能力和洞察力,Gong 可以更好地理解团队协作以实现目标。该平台能够提供对必要信息的即时访问,使该公司能够随时随地优化其流程,识别差距,而无需花费数小时的通话时间。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
![](/files/casestudy/Smart-Water-Filtration-Systems.png)
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
![](/files/casestudy/IoT-enabled-Fleet-Management-with-MindSphere.png)
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
![](/files/casestudy/Predictive-Maintenance-for-Industrial-Chillers.png)
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
![](/files/casestudy/Premium-Appliance-Producer-Innovates-with-Internet-of-Everything.png)
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
![](/files/casestudy/Integration-of-PLC-with-IoT-for-Bosch-Rexroth.png)
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
![](/files/casestudy/Data-Gathering-Solution-for-Joy-Global.png)
Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.