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? The budget is generally spent in the first 90 days for a new executive position, that's it.
Check out this video tutorial by Mathilde, RevOps @Captain Data, who will guide you through this template:
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 delve into 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.
- 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.
Understanding Duplicate Issues
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:
- 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.