Earnings Transcript

The Earnings Transcript insight provides information extracted from a company's earnings call transcripts. This insight can be retrieved using the company's domain URL, the company's LinkedIn URL, the contact's LinkedIn URL, or the contact's email address.

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Note: the only current available parameters for generate-insights are contactEmail and contactLinkedinUrl.

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.

Earnings Transcript Insight

To retrieve the Earnings Transcript 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 = {
    "contactEmail": "[email protected]",
    "contactLinkedinUrl": "https://www.linkedin.com/in/johndoe",
    "companyUrl": "https://www.example.com",
    "companyLinkedinUrl": "https://www.linkedin.com/company/example",
    # You can use either contactEmail, contactLinkedInUrl, companyUrl, or companyLinkedinUrl
    "insightType": "EARNINGS_TRANSCRIPT"
}

response = requests.post(url, headers=headers, json=data)
print(response.text)

Response Format

The API will respond with the Earnings Transcript insight in JSON format. The response will contain an object with an insights array, where each element represents an insight extracted from the earnings call transcripts. Each insight object will have the following fields:

{
  "insights": [
    {
      "insight_id": 1,
      "subtype": "Product Launch",
      "pain_points_described": "Customers seeking to integrate AI-driven email outreach and automation into their workflows, high interest rates, inflation, international tensions, and upcoming presidential election affecting the enterprise technology market.",
      "excerpt": "We've done a lot of stuff on our product front in terms of leveraging some of our AI functionality and capabilities. It's our first full quarter. Customers have been able to leverage our IntentMail.AI, which we've seen a great retention, increase in usage from sales users that are in our platform that are leveraging our prospect-level intelligence for e-mail outreach and automation, again based on our prospect-level intelligence, and we combine it with our customers' most recent, the most relevant product marketing positioning.",
      "speaker": "Michael Cotoia, Chief Executive Officer",
      "transcriptUrl": "https://www.alphaspread.com/security/nasdaq/ttgt/earnings-calls/q1-2024",
      "keywords": [
        "AI functionality",
        "email outreach",
        "automation",
        "prospect-level intelligence",
        "retention",
        "usage",
        "product marketing"
      ]
    }
  ]
}

Field Descriptions

insights (array): An array of insights extracted from the earnings call transcripts.
subtype (string): The subtype or category of the insight, indicating the specific topic or area of focus.
pain_points_described (string): A description of the pain points or challenges mentioned in the insight.
excerpt (string): An excerpt or snippet from the earnings call transcript that supports the insight.
speaker (string): The name and title of the speaker who provided the insight during the earnings call.
transcriptUrl (string): The URL of the earnings call transcript from which the insight was extracted.
keywords (array of strings): An array of relevant keywords associated with the insight.

Use Cases

The Earnings Transcript insight is valuable for various use cases, such as:

Investor Relations: Analyze the insights from earnings call transcripts to understand a company's financial performance, strategic initiatives, and future outlook. This information can help investors make informed decisions and assess the potential of an investment opportunity.
Competitive Intelligence: Monitor the earnings call transcripts of competitors to gain insights into their strategies, product launches, market positioning, and challenges. This information can help inform competitive strategies and identify potential threats or opportunities.
Sales Enablement: Leverage the pain points and challenges mentioned in earnings call transcripts to tailor sales pitches and demonstrate how your company's products or services can address those specific needs. This can help establish credibility and relevance in sales conversations.
Market Trends: Analyze the insights across multiple companies in a specific industry to identify emerging trends, shifts in customer preferences, or technological advancements. This can help inform market research and guide product development or go-to-market strategies.
Risk Assessment: Identify potential risks and challenges disclosed in earnings call transcripts, such as market uncertainties, regulatory changes, or competitive pressures. This information can help assess the overall risk profile of a company and inform risk mitigation strategies.
Sentiment Analysis: Analyze the sentiment and tone of the management's statements during earnings calls to gauge their confidence, optimism, or concerns about the company's performance and future prospects. This can provide additional context and insights beyond the quantitative financial data.

By leveraging the Earnings Transcript insight, you can gain valuable information about a company's financial performance, strategic initiatives, challenges, and future outlook. This insight can inform various business functions, including investor relations, competitive intelligence, sales enablement, market trend analysis, risk assessment, and sentiment analysis.

🚧Note: the only current available parameters for generate-insights are contactEmail and contactLinkedinUrl.