Tech Used
Technologies used by a company. Advanced version includes complementary and competitive technologies.
The Tech Used insight provides information about the technologies used by a company, including complementary and competitive technologies. This insight can be retrieved using either the company's domain URL, the company's LinkedIn URL, the contact's LinkedIn URL, or the contact's email address.
Additionally, a more advanced retrieval method allows for the inclusion of information about the user (seller), enabling the identification of complementary and competitive technologies relevant to the seller.
Note: the only current available parameters for
generate-insights
arecontactEmail
andcontactLinkedinUrl
.
- The system will pass back an array of insights, ranked by relevance.
- The below documentation still accurately covers our schema, and demonstrates what might exist in that array.
- Soon, you'll be able to specify certain insight types in your API request. Coming Q3 2024.
Retrieving Tech Used Insight
To retrieve the Tech Used insight using the Autobound Insights API, you need to make a POST request to the /generate-insights endpoint with the appropriate parameters..
import requests
url = 'https://api.autobound.ai/api/external/generate-insights/v1.0.0'
headers = {
'X-API-KEY': 'YOUR-API-KEY-HERE',
'Content-Type': 'application/json'
}
data = {
"companyUrl": "https://www.example.com",
# You can also pass in user and seller data for more relevant restuls
"insightType": "TECH_USED"
}
response = requests.post(url, headers=headers, json=data)
print(response.text)
Advanced retrieval
import requests
url = 'https://api.autobound.ai/api/external/generate-insights/v1.0.0'
headers = {
'X-API-KEY': 'YOUR-API-KEY-HERE',
'Content-Type': 'application/json'
}
data = {
"userLinkedinUrl": "https://www.linkedin.com/in/johndoe",
"contactCompanyUrl": "www.example.com",
"insightType": "TECH_USED"
}
response = requests.post(url, headers=headers, json=data)
print(response.text)
Response Format
The API will respond with the Tech Used insight in JSON format. The response will contain an array of objects, each representing a news event. Each object will have the following fields:
{
"data": [
{
"subtype": "Complementary",
"userCompany": "Autobound",
"contactCompany": "Cisco",
"contactCompanyUrl": "www.cisco.com",
"technologyName": "Outreach",
"technologyURL": "www.outreach.io",
"source": "https://www.outreach.io/resources/stories/cisco-customer-story",
// this source shows how Outreach, a company Autobound is complementary with, is being used by Cisco
"firstSeen": "2022-03-15T09:30:00Z",
"lastSeen": "2023-06-08T14:45:00Z",
},
{
"subtype": "Competitive",
"userCompany": "Autobound",
"contactCompany": "Smartline",
"contactCompanyUrl": "www.smartling.com",
"technologyName": "Regie.ai",
"technologyURL": "www.regie.ai",
"source": "www.regie.ai/customers",
// this source shows how Regie, a company Autobound competes against, is being used by Smartline
"firstSeen": "2022-03-15T09:30:00Z",
"lastSeen": "2023-06-08T14:45:00Z",
}
]
}
Field Descriptions
subtype
(string, optional): The subtype of the technology used. Possible values are "Complementary" and "Competitive". If not provided, it indicates a general technology used by the company.userCompany
(string, optional): The name of the user's (seller's) company. Only available when using the advanced retrieval method.contactCompany
(string): The name of the contact's company.contactCompanyUrl
(string): The domain URL of the contact's company.technologyName
(string): The name of the technology used by the company.technologyURL
(string): The URL of the technology used by the company.source
(string): The source or reference where the technology usage information was found.lastSeen
(string): The date when the technology usage was last observed, in UTC.firstSeen
(string): The date when the technology usage was first observed, in UTC.
Use Cases
The Tech Used insight is valuable for various use cases, such as:
- Competitive Analysis: Identify the technologies used by competitors to understand their technology stack, capabilities, and potential advantages or weaknesses. This information can help inform product development, marketing strategies, and competitive positioning.
- Sales Enablement: Provide sales teams with insights into the technologies used by their target accounts or prospects. This information can be used to personalize outreach, demonstrate industry knowledge, and position your company's offerings as complementary or superior to the technologies currently used by the prospect.
- Partnership Opportunities: Identify potential partnership opportunities based on the complementary technologies used by companies. If a company uses a technology that integrates well with your company's offerings, it may indicate a potential for collaboration or joint go-to-market strategies.
- Market Research: Analyze the adoption and usage of specific technologies across multiple companies or an entire industry to identify trends, market share, and emerging technologies. This information can help inform product roadmaps, investment decisions, and market entry strategies.
- Customer Success: Monitor the technologies used by existing customers to identify opportunities for upselling, cross-selling, or providing additional value through integrations or complementary offerings. Understanding a customer's technology stack can also help in providing better support and ensuring a seamless user experience.
- Thought Leadership: Leverage insights into the technologies used by companies to create thought leadership content, such as industry reports, blog posts, or webinars. By sharing knowledge and expertise about the latest technologies and their impact on businesses, you can establish your company as a trusted resource and thought leader in your industry.
By leveraging the Tech Used insight, you can gain a deeper understanding of the technologies used by companies, enabling you to make informed decisions related to competitive analysis, sales enablement, partnership opportunities, market research, customer success, and thought leadership.
Updated about 2 months ago