Season 1, Episode 5: Revolutionising the Candidate Journey: Insights from Automated Analytics.

In the latest episode of the Automated Analytics Podcast, CEO Mark Taylor sits down with Jason Peecook, the face of Automated Analytics in the USA, to find out the transformative changes happening in the recruitment landscape, particularly with respect to the candidate journey on platforms like Indeed.

Revolutionising recruitment with Indeed’s smart match service

The discussion revolves around Indeed’s ambitious goal of improving their system into a smart match service, aiming to streamline the recruitment process by providing businesses with fewer but more relevant candidates, thereby increasing the hiring ratio. Powered by AI algorithms, Indeed’s platform will enable companies to match the right candidates with the right roles more effectively than ever before.

Optimising sponsored budgets and advertisement strategies

One of the key advantages of these changes is the ability for businesses to optimise their sponsored budget across multiple platforms while reducing expenditure on job advertisements. By leveraging Indeed’s algorithmic capabilities, companies can expect to see evergreen roles filled at a faster rate, even with reduced traffic, as the AI software intelligently identifies and prioritises the most suitable candidates for each position.

Empowering data-driven decision making

Automated Analytics is poised to play a crucial role in this transformation shift. The Dev team will provide comprehensive reports to facilitate collaboration between Automated Analytics and its clients, empowering them to make data-driven decisions and optimise their recruitment strategies.

Enhanced visibility for job applications

Furthermore, the new system promises enhanced visibility for job applications, ensuring that candidates have access to a higher volume of opportunities. This increased transparency will not only benefit job seekers but also enable companies to make more informed decisions about their hiring needs.

Strategic resource allocation

Importantly, the implementation of this system will enable companies to identify high-cost areas and allocate resources strategically. By analysing cost-per-hire metrics, clients can gain insights into the most effective recruitment channels and adjust their strategies accordingly, with the option to consult with the Customer Success team for further guidance.

Adapting to market dynamics

In terms of pricing, the system will adapt to market dynamics, with costs will be different based on factors such as location and competition. In competitive markets, where demand for talent is high, the cost per job application may increase significantly, reflecting the heightened competition for top candidates.

Rollout and implementation timeline

In certain areas there will be locations that require 25 pounds/bucks a day. This will generate enough sponsored jobs due to the cost-per-hire is a pound or a buck. In the more competitive locations, they can reach as high as 25 pounds or bucks, with the location being smaller and the amount applications increasing the competitiveness of this location will raise the price for each job application.

You can expect these systems to be in place with the Automated Analytics US team implementing this system by June/July, with the UK team expecting the new system by the end of the summer.

Conclusion

With the changes that Google are making you can expect a better candidate journey, the aim is to help clients optimise their budget cost while examining an organic list that with less names and more quality applicants to the sponsored role.

Where can you watch the episode:

You can watch the podcast at: https://www.youtube.com/@AutomatedAnalyticsPodcast

Where can you listen to the episode:

You can listen to the podcast at: https://podcast.automatedanalytics.co