Talent Matching: A Paradigm Shift in Talent Management?

Matching the right talent to the right role matters. Many employers still hire from resumes alone. As the market changes, teams need a better way to read skills, map people to roles, and plan ahead. That is where talent intelligence comes in. It also supports skills-based hiring and AI talent matching.

Although tech is key to hiring, many talent teams still struggle to use newer tools like talent intelligence and talent matching. This article looks at external talent matching and how it can help you start your talent intelligence journey.

Defining Talent Matching and Talent Intelligence

Talent matching links external candidates to jobs that fit their skills. It helps people use their skills well, stay engaged, and support bigger business goals. Without tech, this work is slow and hard. It is tough to track changing skills and spot gaps in large teams.

Talent matching is part of talent intelligence. Talent intelligence uses people data to improve hiring, management, and retention. Talent intelligence platforms use AI to make matching easier. They can use employee data and market data, like candidate pools, skills, open roles, team makeup, and pay. This helps you spot talent patterns and see both current needs and the work setting.

While talent matching can improve talent acquisition and recruitment, it also has a wider ripple effect. A live data set that blends internal and outside workforce data can help with workforce planning, learning and development, and skill gap work. Here are some benefits of talent matching and talent intelligence for your team:

• Better learning and development plans for new hires
• Higher employee engagement and job satisfaction
• Clearer insight into your workforce mix and future talent needs
• Access to market and competitor hiring data
• Lower hiring costs and less waste, with more efficiency
• Better employee productivity and retention
• Stronger support for skills-based hiring

How Talent Matching Works

Talent matching platforms help companies place people in open roles with more care and less guesswork. Here is how talent matching works.

1. Insights from candidate behavior data

Talent matching platforms often use data to find and reach qualified candidates. This is called behavioral targeting. Like product ads that use browsing data, job ads can use a candidate’s behavior to show roles that match their interests.

Data can include visited sites, job ad clicks, time on site, location, browsing history, mobile app use, applicant tracking (ATS) data, and candidate relationship management (CRM) data. This mix of data is then studied and grouped.

From there, behavior patterns help define candidate groups. You can then focus your job ads on the right people. This improves conversion and cuts wasted recruiter time. It also supports programmatic recruitment advertising by putting the right ad in front of the right person at the right time.

Read more about behavioral targeting: As the Cookies Crumble: The Rise of Behavioral Job Advertising

2. Remove limits of keyword and title searches

Recruiters spend hours each week moving through hard systems to find talent. Job boards and ATS tools often lean on job titles and keywords to find matches. A search for ‘Program Manager’ can miss strong people who use a different title. It can also pull in false matches when the title fits but the skills do not.

These methods are basic and slow, and they often fail. AI talent matching goes beyond title and keyword search. It puts the focus on candidate skills and experience. Talent intelligence software can use one or more data sources to find patterns and improve job-candidate matches.

As our data science team explains, tools like Joveo can expand titles to include names like ‘Program Manager’ and ‘Project Manager’ to boost conversion rates. To remove location limits, Joveo can also make copies of a job for nearby locations to grow the talent pool.

Another key benefit of AI-powered search is that it puts candidates first. It also accounts for the many titles and job roles that exist in the market.

3. Bring back qualified candidates for new roles

Candidate rediscovery is a key part of your talent acquisition strategy. Over time, companies collect many resumes. Old tools are not built to store or find this data well. That means people who applied before, left the process, or did not reach the end may be missed. Then the hiring process starts again from scratch.

Talent intelligence platforms can handle large data sets and keep candidate data safe over time. With AI, they can rediscover and retarget strong candidates from past application cycles. They also keep profiles up to date, so matching is better when a new role opens.

Since these people already know your brand, candidate rediscovery can make it easier to bring them back into the funnel.

The Future of Talent Matching

As recession fears rise and the market shifts, talent acquisition is changing too. More teams now trust technological solutions like talent intelligence platforms to change how they hire and manage talent.

Talent matching is an AI-driven way to find relevant outside candidates for open roles. It is a data-based and clear strategy for better hiring. Talent matching solutions can widen your candidate pool with online behavior data, location data, browsing history, and search tools that include related titles and nearby locations. They also support candidate retargeting from past talent pools and match those people to current roles. That can help you start hiring faster.

Tools like Joveo cut the guesswork, complexity, and waste in today’s recruitment practices with more intelligence, more clarity, and more control. They deliver more relevant candidates and more confidence to employers around the world. To learn more about Joveo’s programmatic recruitment advertising offering, schedule a demo and see the platform in action. Follow us on Twitter and LinkedIn, where we share more on recruitment advertising.

Q&A

Question: How is talent matching different from traditional resume-based hiring?

Short answer: Talent matching looks beyond resumes, job titles, and keyword searches. It uses data and AI to read skills, experience, behavior, preferences, and fit. It can also find related roles, search nearby locations, and surface candidates that old systems miss.

Question: Why does talent matching fall under talent intelligence?

Short answer: Talent matching is one practical use of talent intelligence because it applies people data to improve hiring results. Talent intelligence uses internal and external workforce data, like skills, functions, team makeup, competitor hiring, open roles, and pay, to show talent patterns and help teams plan for now and later.

Question: What types of data can talent matching platforms use to reach relevant candidates?

Short answer: Talent matching platforms may use behavior and usage data such as visited websites, job ad clicks, time on site, location, browsing history, third-party cookies, mobile app data, ATS data, and CRM data. When these signals are studied together, the platform can group candidates and show job ads that fit their interests and behavior.

Question: How does candidate rediscovery help reduce recruiting effort?

Short answer: Candidate rediscovery helps companies reuse and re-engage strong candidates who already know the employer. That may include people who applied before, left an application, or reached an earlier stage. AI-powered talent intelligence platforms can store large candidate sets, refresh profiles, and match old applicants to new roles, so teams do not have to start from zero.

Question: What broader business benefits can talent matching provide beyond recruitment?

Short answer: Talent matching helps with more than hiring. It can support workforce planning, learning and development, employee engagement, productivity, retention, and skill gap work. By blending inside and outside workforce data, teams can better see their talent mix, spot future needs, and make smarter hiring and development choices.