5 Ways That Recruitment Analytics Improve Manufacturing Hiring Campaigns

5 Ways That Recruitment Analytics Improve Manufacturing Hiring Campaigns

The manufacturing sector is constantly looking for new talent and people to power the industry forward. At the end of 2023, approximately 2.69 million people were employed in manufacturing across the UK. This number continues to increase steadily, which is why we focus heavily on supporting manufacturing recruitment.

One of the main issues in manufacturing recruitment is time to hire.  This is coupled with the need to keep costs streamlined, which means that HR and hiring managers must be informed about every part of a campaign.

In this article, we will look at how recruitment analytics are perfect for overcoming manufacturing challenges.

Table of Contents

Why Is Data Important Within High Volume Hiring?

Data is crucial for several reasons when hiring at high volume. Firstly, juggling lots of plates can mean hiring managers lose track of efficiency in favour of fighting fires. Data is essential for allowing these professionals to see how campaigns are performing and for making changes along the way. 

Within manufacturing, this allows top-level views to be seen, which allows real-time insights. If data is not available, hiring managers run the risk of haemorrhaging costs, losing talent to competition, and not filling essential positions, which affect the entire business.

What are occy’s Recruitment Analytics?

Our solution to gaining data insights is intelligent recruitment analytics!

occy recruitment analytics lets hiring managers monitor and assess the performance of a recruitment process easily. With in-depth job analysis such as cost and time per hire, we give you full visibility on spend for each job. 

As this is integrated into our complete software, the tools for making these changes are always available with just a few clicks. This is how we help companies hire faster.

How Do Recruitment Analytics From occy Improve Hiring Success?

In manufacturing, high volume hiring challenges within the current climate mean that being on the ball is essential. Thankfully, our software makes this possible without hiring managers having to dedicate any extra time to the task. Additional,  professionals can even spend less time on admin, thereby enhancing the candidate experience and fostering a more empathetic recruitment process.

The top 5 ways that recruitment analytics improve hiring for manufacturing companies are as follows:

Identifying Effective Sourcing Channels

Our recruitment analytics can help identify manufacturing positions’ most effective sourcing channels. Whether via your career site or simply from understanding where hires are coming from, more energy can be put into successful platforms.

By tracking and analysing data on the source of successful hires, recruiters can focus their efforts on channels that consistently yield high-quality candidates. Our analytics also highlight other trends, such as the best sources to use for certain positions or what platforms are best during certain seasons.

Optimising Job Advertisements

Alongside our professional copywriting services, analytics offer a great way to optimise campaigns.

They can provide insights into the performance of job advertisements, allowing recruiters to make data-driven decisions to edit content and update automations. By analysing metrics like click-through rates, conversion rates, and time-to-fill positions, recruiters can refine their job descriptions, titles, and keywords. Besides this being helpful, it will also attract more suitable candidates and improve the overall quality of applicants.

Streamlining the Screening Process

Recruitment analytics can automate and streamline the screening process to speed the process up. By analysing past hires and their success factors, these algorithms can help identify patterns and predict the likelihood of a candidate’s success in a manufacturing role. This enables recruiters to focus their efforts on the most promising candidates and reduces the time and effort spent on ineffective screening methods.

Check the Candidate Experience

Analytics also help manufacturing companies to secure talent from competition. This is thanks to metrics like application completion rates, response times, and feedback from candidates. By monitoring these metrics, bottlenecks can be identified and improved. 

A smoother hiring process can lead to higher satisfaction levels and, ultimately, attract more qualified candidates.

Data-Driven Decision Making

Finally is being able to make decisions with confidence. Recruitment analytics from occy deliver all data on a platter with segmented candidate and available information. This information allows factors such as skill sets and past performance to be assessed to make hires. 

This data-driven approach reduces the risk of biases and improves the overall quality of hiring decisions. 

Choose Recruitment Analytics from occy!

Overall, recruitment analytics can vastly improve manufacturing hiring campaigns by optimising sourcing channels, streamlining screening processes, enhancing the candidate experience, and facilitating data-driven decision-making. These improvements result in better-quality hires, reduced time-to-fill positions, and increased efficiency in the recruitment process.

Our recruitment analytics also provide important insights that enable manufacturing teams to continuously improve their time-to-hire. By tracking and analysing recruitment metrics, companies can identify areas of improvement, fine-tune their recruitment strategies, and implement data-driven changes to edit their hiring campaigns.

Are you ready to hire the right way? Book a demo with our team today!

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