How Your Job Ads Affect 90-Day Turnover
Early attrition is nearly always investigated as an onboarding failure. Often the decision that caused it was made months earlier, when the media was bought.
Do job ads affect 90-day turnover?
Ninety-day turnover measures the share of new hires who leave within their first three months. Advertising influences it because the audience you buy determines who applies: media optimised for application volume attracts people with weak fit and low intent, while media optimised toward confirmed hires and retention selects for people who stay. Onboarding can improve the number, but it cannot undo who was recruited.
Selection Starts At The Impression
Every media choice is a selection decision. Buying the cheapest clicks selects for people with the lowest cost of applying — which correlates poorly with fit and intent. Targeting by profession, credential, commute distance and relevant experience selects for a narrower, better-matched pool before a single application arrives.
What Early Turnover Actually Costs
The visible cost is re-advertising the role. The larger costs sit around it, and they repeat for every replacement cycle.
- Media spend repeated on a requisition you already paid to fill
- Recruiter and hiring manager hours spent twice
- Training and onboarding investment written off
- Lost productivity and coverage gaps for the team
- Pressure on remaining staff, which drives further attrition
Closing The Loop
To optimise for retention you have to be able to see it. That means tying hires and start dates back to the sources that produced them, then shifting budget toward the sources whose hires are still there at ninety days. TalentXi runs on your existing job feed and reports at publisher and placement level, so the loop can be closed without an ATS integration.
- Match hires back to the campaign and publisher that produced them
- Track ninety-day status by source, not just applicant volume
- Reallocate budget toward sources with durable hires
- Keep media cost and platform fee as separate, visible line items
Two Ways To Buy, Two Retention Profiles
| Optimised to hires and retention | Optimised to applications | |
|---|---|---|
| What the system rewards | Sources whose hires stay | Sources producing volume |
| Applicant pool | Narrower, better matched | Broad, mixed intent |
| Screening load | Lower per hire | Higher per hire |
| Signal used | Hire and start data | Click and apply counts |
Frequently Asked Questions
What is 90-day turnover?
The percentage of new hires who leave — voluntarily or not — within ninety days of their start date. It is one of the earliest reliable signals of whether a hiring channel is producing genuine fit.
How can advertising affect whether someone stays?
Advertising decides who sees the role and what they understand about it before applying. Targeting by profession, location and relevant experience produces a different applicant pool than buying the cheapest available clicks, and that difference shows up months later in retention.
Should I optimise campaigns toward retention instead of applications?
Where the data allows it, yes. If your hire and start dates can be matched back to the campaigns that produced them, optimisation can favour sources whose hires are still employed at ninety days rather than sources that simply generated volume.
What data do I need to connect ads to early turnover?
At minimum, a way to tie each hire back to the campaign or source that produced the application, plus start dates and ninety-day status. You do not need a live system integration; a periodic export is usually enough to close the loop.
Is early turnover always a recruiting problem?
No. Pay, scheduling, management and onboarding all contribute. But when one source consistently produces hires who leave early and another does not, that difference is a media problem and is fixable with budget allocation.
How long before changes in media show up in retention data?
By definition, at least ninety days after the first affected hires start. That is why leading indicators like qualified applicant rate and screen-to-offer progression matter in the meantime.