Do Long-Term Creator Partnerships Actually Perform Better?

Audiences are loyal to creators. Deloitte's 2026 Digital Media Trends survey of 3,518 US consumers found that 70% of people who engage with creators return regularly to the same ones, and that purchase likelihood is 2.5x higher among consumers influenced by creators they trust. Every one of those effects is built from something that takes time to earn.

A one-off campaign buys a creator's reach at the exact moment when none of it has been earned on the brand's behalf. The relationship exists — it just belongs to the creator, and the brand is renting it for a single post.

Yes, and more than most media plans assume. Deloitte found 65% of US consumers engage with creators or creator-led content, and roughly 60% of those do so daily. Of the people who engage, 70% come back to the same creators rather than grazing whatever the algorithm serves.

The reason is topical, not incidental: 40% follow specific creators because those creators talk about subjects they care about. And the attachment is real enough to displace traditional media — close to half of Gen Z and millennial respondents report stronger personal connections to social media creators than to TV personalities.

That is a durable audience relationship, and it is already in place before any brand shows up.

Deloitte measured purchase likelihood against three conditions. All three are cumulative — they describe a relationship that has had time to form.

The scale of the behaviour is not marginal. Around 60% of US consumers who engage with creators made a purchase based on a creator recommendation in the previous six months. Among Gen Z and millennials that rises to 75%, averaging three creator-influenced purchases per person over the same period. Separately, 45% say creator-led ads feel more authentic than traditional advertising, and more than half say a trusted creator's recommendation influences what they consider buying.

Worth being precise here, because this is where creator-marketing content usually overclaims. Deloitte measured the audience's relationship with creators. It did not compare brand outcomes from long-term creator contracts against one-off ones, and it did not measure campaign ROI.

So the case for booking the same creator repeatedly is an inference from consumer behaviour, not a finding about contract length. The inference is straightforward: trust and perceived authenticity are the two largest multipliers in the data, both are earned over repeated exposure, and a single sponsored post gives a brand no mechanism to earn either. But it is an inference, and treating it as a measured result is how a reasonable argument turns into a bad statistic.

Three reasons follow directly from the numbers above.

The trust multiplier is the creator's, not yours. A first-time mention borrows credibility the audience extends to the creator. Audiences are good at telling the difference between a creator who uses something and a creator reading a brief once.

Authenticity reads as pattern, not tone. The 2.0x authenticity effect is not a copywriting problem. A creator who mentions a brand once, then never again, tells the audience exactly how deep the relationship went.

You restart the learning curve every time. Each new creator means a new brief, new context-setting, new rounds of revision, and no accumulated knowledge of what their audience responds to. The second and third collaborations are where a creator starts producing work that needs less correction — and one-off buying means never reaching them. We wrote about the operational side of this in why your best creators never come back.

Not the ones with the largest audience. The signal that matters is whether they deliver — posted on time, to brief, with usable assets and working tracking. Follower count predicts reach; it predicts nothing about whether the second collaboration will be easier than the first. That argument, and how to actually measure it, is in vetting creators on delivery, not just reach.

Two practical filters on top of delivery history:

• Topical fit over demographic fit. 40% of audiences follow a creator for the subject matter. A creator whose subject is adjacent to your category has an audience already primed for it.
• Whether their audience returns. The 70% repeat-engagement figure is an average, not a guarantee. A creator with high repeat viewership is compounding your exposure; one with high reach and low return is selling you an impression.

Compare the same creator's work to itself over time, not to the campaign average. That means reporting at the level of the creative rather than the ad, which most ad accounts do not do by default — one asset running across eight ad sets returns eight rows and no answer. The fix is covered in creative-level reporting.

Two further points worth holding onto:

Organic reach understates the relationship. If a creator's second or third post outperforms their first, that asset is a candidate for paid spend behind it — see turning creator posts into ads that actually run.

Give it more than one cycle. The multipliers in the Deloitte data describe consumers who already trust a creator. Nothing in a first collaboration produces that. Judging a partnership on its first post measures the wrong thing at the wrong time.

Look at your last four campaigns and count how many creators appear in more than one. If the answer is close to zero, you have been paying to introduce your brand to the same kind of audience repeatedly, and starting from nothing each time.

The audience is not the thing that needs convincing to come back. Deloitte's data says they already do — to the creator. The open question is whether your brand is in the room when they arrive.