Creator vetting won’t save you. Your measurement will.

Why brand safety shouldn’t end at the brief

In 2017, Disney cancelled its multimillion-dollar production deal with the biggest creator on YouTube. Felix Kjellberg, AKA ‘PewDiePie‘, had been part of Disney’s Maker Studios network for years; no competitor conflicts, with a vast authentic audience, and a content record that had cleared every reasonable check. The antisemitic content that ended the partnership wasn’t in any of it, that only came once the relationship had already started, not before.

And even though Disney ran their appropriate checks, they couldn’t have known it was coming. No content audit, conflict check or audience review would have caught what came after. Backward-looking vetting was never going to catch forward-looking behaviour. What could have caught it earlier though, and in time to act, is real-time data running through the campaign from day one.

Most existing vetting frameworks are built to protect investment in creator marketing (now a USD 40.5bn global industry) focusing on four backward-looking checks and they stop there. The moment the brief goes out vetting checks are forgotten, leaving brands with no visibility after day one.

Five checks, not four

There’s no need to panic and try to reinvent the whole vetting process to fix it, but adding a simple fifth check will turn the whole process around, making it actually useful and auditable.

Before a campaign launches, Hypetap Intelligence maps share of voice, sentiment, and category positioning for a brand and its peer set. That baseline is then the reference point the whole campaign runs against.

The pre-campaign Intelligence checklist:

1. 1. Profanity and content audit: past posts, comments, associations
   2. Brand conflict check: competitor partnerships over a defined window
   3. Audience authenticity: bot detection, fake follower analysis

• Past brand disclosure compliance

1. Pre-campaign baseline: share of voice, sentiment and consideration scores for your brand and peer set, captured before day one

Without that final step, you can prove you vetted the creator, but you can’t prove what the campaign did to your brand.

Vetting stops on day one. The risk doesn’t.

Real-time sentiment tracking should be the measurement layer that runs for the duration of a campaign, instead of a metric that’s just pulled at the end of it. A spike in negative engagement in creator comments (not the post itself, but the responses) often comes before a wider reputational problem becomes visible. In regulated categories: food, supplements, pharma, alcohol; category-level sentiment can turn against a brand with no connection to its campaign at all.  

Here’s how we’ve seen it play out: a wellness brand running a creator campaign watches post-level metrics track to target; reach and engagement are looking well and healthy. Then, a news story breaks, questioning ingredient safety in the category and the audience starts referencing it in creator comments and negative sentiment builds steadily. 

That gap between what a creator publishes and how an audience responds is frequently the first readable signal that something is going wrong. It’s also the signal most brands are set up to miss.

Hypetap Intelligence flags that divergence in real time; before it surfaces in the brand’s own reporting. The brand pauses activity on two creators, redirects spend to a third, and avoids pouring spend into a story that’s turning against the category. 

The brand safety case for category intelligence

Competitive voice is a brand safety question, not just a planning one. A creator who presented no conflicts at briefing might be found amplifying a rival’s narrative weeks into the campaign. A category-level controversy (remember Bud Light’s disastrous 2023 partnership with Dylan Mulvaney?) can reframe the environment your content is being exposed to without your creators doing anything wrong. If you’re not watching the category in real time, you’re not tracking brand safety.

Hypetap’s proprietary data platform, with over 10 billion data points, gives the visibility of the category alongside the campaign, providing brands with a live picture of where they sit in real time, rather than a simple historic snapshot. 

Separating campaign impact from category noise

Brands that run pre-campaign baselines come out of campaigns in a fundamentally different position. Hypetap’s effectiveness studies measure brand lift, consideration and category positioning against those baselines, so at close, brands can show what it changed – and not just that the campaign ran safely.

When you get measurement right, brand safety and brand growth become the same conversation.

Speak to us about your measurement approach.