Opening conversations is really hard.
The best way to increase your reply rate? Use intent data!
This template enables you to search for companies that recruit specific job titles (using booleans).
For example, you're a Fintech company, and your buyer persona is a CFO... you'll target finance directors & co.
Why does it work? Simply because the budget is generally spent in the first 90 days for a new executive position. Yep, 90 days.
Check out this video tutorial by Mathilde, RevOps @Captain Data, who will guide you through this template. She introduces a transformative approach to prospecting by utilizing LinkedIn job searches to find and enrich companies actively recruiting.
Understanding and Managing Duplicates in the LinkedIn Jobs Workflow
In our LinkedIn Jobs workflow, encountering duplicates is a common occurrence due to the nature of the process. Let's break down the workflow to gain a better understanding and explore ways to manage and minimize duplicates effectively:
Search LinkedIn Jobs: the initial step involves launching the Search LinkedIn Jobs module with 26 inputs, representing 26 distinct LinkedIn job searches provided by the user.
Extracting Jobs: the robot extracts information from the provided job searches, creating a dataset that includes details about various job openings.
LinkedIn Profile Extraction: the workflow specifically focuses on retrieving LinkedIn profiles from the “Meet the hiring team” section of the job postings.
Company Info Aggregation: the extracted profiles are then processed to aggregate relevant company information associated with each profile.
The presence of duplicates arises from the data provided as inputs in the “Search LinkedIn Jobs” step. The robot retrieves information based on the specified searches, and if there are overlaps or similarities in these searches, duplicates may occur.
Best Practices to Avoid Duplicates
To enhance the workflow and minimize duplicate entries, consider implementing the following best practices by using segmentation with filters.
Utilize segmentation techniques by applying filters in your LinkedIn job searches. For instance, filtering jobs based on the “date posted” can help narrow down the results to recent openings.
Example: Consider specifying filters to retrieve jobs posted in the past month, week, or 24 hours to ensure the most up-to-date information.
Understanding the root cause of duplicates in the LinkedIn Jobs workflow provides insights into effective management strategies. By implementing segmentation and refining search criteria, users can enhance the accuracy and efficiency of their data extraction process while minimizing duplicate entries.
Leveraging LinkedIn Job Searches for Advanced ABM and Competitor Analysis
This method offers a strategic advantage for Account-Based Marketing (ABM) campaigns and competitor analysis, providing a unique angle for intent-based prospecting.
Identifying companies that are in a hiring phase signifies growth and potential pain points that your product or service can address. For example, a company recruiting for sales operations or business development roles might be scaling their sales team, indicating a need for solutions that streamline sales processes or improve team efficiency.
The Value of Intent-Based Prospecting
Shifting from generic outreach to intent-based prospecting allows you to craft messages that resonate deeply with your prospects. Knowing a company's current recruitment activities provides a conversation starter that is both relevant and timely, setting the stage for more meaningful engagement.
Setting Up the Workflow in Captain Data
Step 1: Conducting a LinkedIn Job Search
Start on LinkedIn with a job search tailored to your target criteria. Whether it's companies within a specific industry, size, or those offering particular job roles, refine your search to pinpoint companies that best match your ideal customer profile (ICP).
Key Filters for Your Search:
- Time Frame: Focus on job postings from the past 24 hours to ensure you're working with the most current opportunities.
- Job Type and Experience Level: Narrow down to full-time positions and specific experience levels to align with your targeting strategy.
- Keywords and Booleans: Utilize keywords and boolean searches to refine your results further, focusing on roles that directly relate to your offering.
Step 2: Extracting and Enriching Data with Captain Data
Once you've defined your LinkedIn job search, use Captain Data to automate the extraction and enrichment process:
- Find and Enrich Companies Workflow: Select this workflow on Captain Data to initiate the data extraction from your LinkedIn job search URL.
- Job Information Extraction: Captain Data retrieves detailed job and company information, including job ID, URL, application link, job poster contact information, and whether the position allows remote work.
- Company Insights: Gain comprehensive data on the company, such as domain, Crunchbase profile, employee range, funding events, and industry.
Step 3: Automating and Scheduling the Workflow
To maintain a continuous stream of fresh leads:
- Schedule Regularly: Configure the workflow to run daily, weekly, or monthly based on your needs, ensuring you're always capturing the latest job postings.
- Naming Conventions: Use clear naming conventions for each job run, especially if you're targeting multiple roles or industries, to easily organize and access your data.
Utilizing Extracted Data for Targeted Outreach
Armed with rich job and company data, your next steps involve crafting personalized outreach campaigns:
- Direct Contact: If the job poster's information is available, personalize your message to address the specific roles they're hiring for and how your solution can alleviate related challenges.
- Broader Outreach: For job postings without direct contact information, use the enriched company data to identify relevant contacts within the organization who might benefit from your solution.
By leveraging LinkedIn job searches and Captain Data's powerful extraction and enrichment capabilities, businesses can adopt a proactive and intent-based approach to prospecting.
This strategy not only enhances the effectiveness of ABM campaigns but also provides valuable insights for competitor analysis and market understanding.
With this workflow, differentiating your outreach and directly addressing your prospects' current needs becomes a streamlined and impactful process.