Retained vs contingency search: reframing the discussion around risk, not cost

Most organisations still approach hiring decisions, particularly at senior level, as a question of cost and speed.

Which model is cheaper? Which delivers CVs faster?

However, a more useful way to frame it is: which model most effectively reduces the risk of getting it wrong?

Because the data is unequivocal: hiring failure is neither rare nor inexpensive.

Research from SHRM suggests replacing an employee can cost between 50% and 200% of annual salary, rising sharply for senior roles. The U.S. Department of Labor estimates that even at a baseline level, a bad hire costs at least 30% of first-year earnings. In practice, for specialist or leadership hires, total impact can reach $240,000 or more, once productivity loss, disruption, and rehiring are factored in.

More recent industry data reinforces the scale of the issue: the average cost of a failed sales hire alone now exceeds $177,000. 

 

The key difference many hiring teams overlook

At a surface level, the distinction between the two recruitment models is well understood.

Contingency recruitment operates on a “no placement, no fee” basis. Retained search requires upfront investment and an exclusive partnership.

But the more meaningful difference sits beneath that structure: incentives.

In a contingency model, recruiters are rewarded for speed and volume. They may be working multiple roles simultaneously, often in competition with other firms, prioritising candidates who are immediately available and actively looking.

In retained search, the incentives shift. The search firm is engaged exclusively, with a mandate to deliver a successful outcome rather than a fast one. That typically allows for:

• deeper market mapping
• proactive engagement of passive talent pools
• more rigorous assessment of capability and cultural fit

What surprises many people is the news that passive candidates represent the majority of the market. Recent data shows 73% of professionals are not actively job seeking, but remain open to the right opportunity. 

Quite simply, a purely reactive approach automatically excludes most of the available talent pool.

 

Speed vs precision: a false trade-off

Contingency search often appears faster. More CVs arrive, more quickly.

But speed to shortlist is not the same as speed to successful hire.

Research indicates that while contingency models prioritise early candidate flow, retained models typically achieve higher completion rates – at Leonid this is 98% - compared to 50–70% in contingency search.

Organisations rarely fail to see enough candidates. They fail by selecting the wrong one.

And when that happens, the downstream impact compounds quickly:

• lost productivity (often 30–40% drag on team output) 
• extended time to productivity for replacement hires
• erosion of team morale (reported by 85% of HR leaders) 
• significant delays to strategic initiatives

From that perspective, what appears “faster” at the outset can ultimately extend the hiring cycle: sometimes by months.

 

The economic case for retained search

The most common objection to retained search is cost.

Typically, both models operate within a similar fee range. The real difference lies in when that fee is paid, not necessarily how much. 

But focusing on fee alone ignores the broader economics.

If a hiring mistake can cost 1–2× salary (or more), then even a modest reduction in failure risk produces a disproportionate return.

This is particularly relevant for leadership and specialist roles, where:

• the candidate pool is constrained
• success depends on nuanced capability, not just experience
• impact is organisation-wide

Retained search needs to be viewed less as a premium service, and more as a risk mitigation strategy.

 

When contingency still makes sense

In the right context, a contingent approach can be effective.

For roles where:

• the talent pool is broad and accessible
• requirements are clearly defined
• speed is the primary driver

In these situations, contingency models can deliver strong results quickly.

The issue arises when the same model is applied to business-critical hires, where the cost of failure materially outweighs the cost of search.

 

A more useful decision framework

Rather than defaulting to one model, organisations should calibrate their approach based on role criticality and risk exposure.

A simple reframing is useful:

• Lower-risk hires (volume, repeatable roles): optimise for speed and cost
• Higher-risk hires (leadership, transformation, scarce skillsets): optimise for accuracy and outcome

Because ultimately, the question is not:

“Which model is cheaper?”

It is:

“What is the cost of getting this hire wrong, and how do we minimise it?”

 

The Leonid perspective

As roles become more strategic (as they are in corporate governance and professional services as a whole) and the margin for error narrows, organisations are moving away from transactional recruitment models towards more structured, insight-led approaches to talent acquisition.

That includes:

• using data to define success criteria before the search begins
• mapping talent markets rather than relying on inbound applications
• assessing capability, not just experience
• treating hiring as a critical investment decision, not an operational task

Because in a market where the majority of top talent isn’t actively looking - and where the cost of failure continues to rise - the quality of the search process is often the single biggest determinant of hiring success.