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Gong Forecast Reduces Tackle.io's Forecasting Time by 40%
技术
- 网络安全和隐私 - 身份认证管理
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 教育
- 石油和天然气
适用功能
- 销售与市场营销
用例
- 需求计划与预测
- 库存管理
服务
- 培训
挑战
Tackle.io 是一个零工程平台,提供上市解决方案,帮助 B2B 软件公司通过云建立、运营和扩大销售规模,该平台在预测方面面临着重大挑战。该公司每周花费 10 多个小时执行预测任务,其中包括浏览电子表格、拼凑数据以及与销售领导和销售代表进行无休止的对话。这不仅耗时而且效率低下。该公司的销售领导者专注于一对一的预测,从而占用了宝贵的领导和辅导时间。这开始给公司的销售副总裁 Jeramee Waldum 带来压力,他正在努力建立一个不属于超高压模式的销售组织。
关于客户
Tackle.io 是一家位于爱达荷州博伊西的公司,成立于 2016 年。该公司拥有 200 名员工,从事企业软件和网络解决方案行业。 Tackle.io 提供了一个零工程平台,帮助 B2B 软件公司通过云建立、运营和扩大销售规模。该公司正处于高速增长模式,并花费大量时间在与预测相关的任务上。该公司的销售副总裁 Jeramee Waldum 和收入运营总监 Kate Gallucci 正在寻找一种解决方案,使预测过程更高效、更省时。
解决方案
Tackle.io 实施了Gong Forecast,这是一种工具,可以帮助确定要关注的交易并将其带到顶部。这使得预测过程更加高效和准确。公预测还提高了数据完整性,提供了更准确的截止日期和更完善的预测类别。该团队不再需要依赖电子表格进行预测。该工具紧密的 Salesforce-Gong 双向实时集成可带来更清晰的数据并更好地洞察客户数据。 Kong Forecast 的简单性导致了 Tackle.io 内的高采用率。所有代表都按照统一的节奏进行预测,周一上午进行预测,代表/经理在周一的某个时间进行一对一的会议,销售管理和领导层会议在周二讨论公司汇总预测。龚预测还帮助 Tackle 团队了解如何最好地采取行动。
运营影响
数量效益
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