使用Indicative的公司
It enables all businesses to track anything and everything on their web or mobile application on the cloud, and conduct sophisticated analysis such as segmentation, funnel analysis and cohort analysis with just a few clicks in a web browser.
使用Indicative的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"indicative\"
]
}"Technology
is any of
Indicative

员工数380收入$8.5MNon-profit Organizations
Indicative高置信度
员工数400International Affairs
Indicative高置信度
员工数39k收入$21BRetail Luxury Goods and Jewelry
Indicative高置信度
员工数51k收入$15BSemiconductor Manufacturing
Indicative高置信度
员工数391Business Consulting and Services
Indicative高置信度
员工数93Business Consulting and Services
Indicative高置信度
员工数1Government Administration
Indicative高置信度
员工数2.6k收入$285MIT Services and IT Consulting
Indicative高置信度员工数370International Affairs
Indicative高置信度
员工数3.9kFinancial Services
Indicative高置信度
我们拥有关于4,223家公司和用户使用Indicative的数据。我们的Indicative用户和客户列表可供下载,并附有重要的公司信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Indicative 用户
- 如何自定义此列表?
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知?
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始,当有新公司使用该技术时,您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM?
您可以将此数据导出为Excel文件,然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天刷新数据,以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Indicative is a powerful technology in the realm of Customer Analytics, offering cutting-edge solutions for businesses aiming to gain valuable insights into customer behavior and drive informed decision-making. Through advanced data analytics and visualization tools, Indicative empowers companies to unravel complex patterns in customer interactions, ultimately enhancing their overall understanding of user engagement and conversion metrics. By providing a comprehensive suite of features, Indicative equips organizations with the necessary tools to optimize their customer experiences and drive successful outcomes.
Indicative falls under the category of Customer Analytics, which revolves around utilizing data analysis techniques to understand and predict customer behavior effectively. This field involves interpreting customer interactions with businesses across various touchpoints to derive meaningful insights that can be leveraged to enhance marketing strategies, product development, and overall customer satisfaction. Through the use of sophisticated algorithms and data visualization tools, Customer Analytics platforms like Indicative enable businesses to delve deep into customer preferences, trends, and patterns, thereby enabling data-driven decision-making processes.
Founded in 2014 by Jeremy Levy and Andrew Weinrich, Indicative was born out of the founders' shared vision to revolutionize how businesses approach analytics and derive actionable insights from their data. With a mission to make data analytics more accessible and intuitive for companies of all sizes, Indicative set out to democratize the power of analytics and empower organizations to leverage their data effectively. Since its inception, Indicative has garnered recognition for its innovative approach to customer analytics, earning the trust of numerous businesses seeking to enhance their customer-centric strategies.
Currently, Indicative holds a competitive market share within the Customer Analytics category, thanks to its robust features and user-friendly interface. As businesses continue to prioritize data-driven decision-making and customer-centric strategies, the demand for advanced analytics tools like Indicative is expected to rise significantly. With a forecasted trajectory of growth in the coming years, Indicative is poised to further solidify its position as a leading player in the field of Customer Analytics, catering to the evolving needs of businesses seeking to unlock the full potential of their customer data.