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X replaces revenue sharing, Instagram curbs AI profiles, Snapchat unifies attribution

Three platform updates that matter for marketers: X replaces its old revenue sharing with Original Content Rewards, Instagram limits undisclosed AI personas, and Snapchat is rolling out Unified Attribution globally.

From Social Rocket editorial team

This text was created with AI assistance and reviewed editorially before publication. All sources are linked below.

Illustrative image: smartphone with social media apps
Photo: Julian / Unsplash

Three platform updates are especially relevant for creators and performance marketers: X is replacing its existing Creator Revenue Sharing with Original Content Rewards, Instagram is limiting the reach of undisclosed AI personas, and Snapchat is making its Unified Attribution available worldwide to app advertisers.

The changes address three different areas – creator monetisation, transparency around synthetic influencers and advertising measurement. For German teams, the X change is the most immediately relevant, because the new Rewards programme is explicitly available in Germany as well.

X launches Original Content Rewards and ends the old revenue sharing

X ended its existing Creator Revenue Sharing on 7 September 2026. Since 8 September, the platform has been gradually enrolling existing participants in the new Original Content Rewards Program.

The key difference is already in the name: X no longer just wants to pay for reach, but to define more precisely which content counts as monetisable at all. Payment is made for qualified impressions on the Home Timeline that come from Premium users. According to X, an impression only counts if at least 50 percent of the post is visible; duplicate impressions from the same account, as well as paid, artificially generated or fraudulent views, are excluded.

To take part, X requires, among other things:

  • at least 18 years,
  • an active X Premium, Premium+ or Premium Business plan,
  • at least 500.000 Home Timeline impressions from verified users in the past 90 days,
  • at least 500 verified followers,
  • as well as regularly published original content.

Germany is on the official list of available countries. According to X, payouts are made every two weeks from a minimum amount of 30 US dollars. For users outside the USA, Stripe remains the payout system; X Money is currently only the new payout channel for US creators.

The programme also draws a clearer line against reposts and aggregation. Copied, only minimally altered or primarily compiled content without a substantial contribution of its own is not supposed to generate qualified impressions. Automatically created or published content can also be excluded from monetisation.

With this, X is shifting its creator economy more strongly towards originality and a premium audience. You can find a broader comparison with YouTube, TikTok, Instagram and Snapchat in our overview of how social platforms pay creators 2026pay. At the same time, X's reach base in Europe remains under pressure: according to the latest DSA report, X continues to lose active users in the EU.

Instagram limits undisclosed AI personas

Instagram is simultaneously tightening its rules for profiles that depict an AI-generated person. The previous "AI creator" label was renamed "AI-generated profile" at the end of August.

What matters is not just the new name. Instagram can exclude profiles that show an artificially generated person and do not disclose this correctly from recommendations, or limit their reach. In particular, such accounts may reach fewer non-followers via Reels and Explore.

By contrast, anyone who correctly labels the profile as AI-generated should not be penalised merely for the label.

Important for ordinary creators and social teams: the rule does not automatically apply to every use of generative AI. Anyone who uses AI to edit images, write captions or create individual graphics does not have to label their entire profile as an "AI-generated profile". The obligation targets accounts where the person depicted is itself synthetic.

For brands working with virtual influencers or fully synthetic creator personas, labelling therefore becomes a direct question of reach – not just a question of transparency.

Snapchat rolls out Unified Attribution worldwide

For performance marketing, the Snapchat update is probably the most technically important of the three. Unified Attribution has been available worldwide to app advertisers since 31 August who use AppsFlyer or Adjust. Further Mobile Measurement Partners are to follow.

Snapchat combines its own platform signals with conversion and cross-channel data from the MMPs. Instead of using MMP data only retrospectively for reporting, these signals can now feed directly into campaign optimisation.

This is intended in particular to reduce an old problem in app marketing: platforms optimise for their own conversion signals, while media teams then evaluate success with an independent MMP. When the two systems deliver different results, contradictory decisions about budgets and scaling quickly arise.

Unified Attribution brings these layers closer together. According to Snap, app campaigns can now also be optimised in real time based on MMP conversions. In the Ads Manager, platform and MMP measurement are meant to converge more clearly in a shared view.

Snap publishes several positive test cases for this. However, these results come from individual advertiser tests and are not a general performance benchmark. The larger structural point is the change in optimisation itself: independent attribution is increasingly becoming an input for platform algorithms rather than just a reporting signal.

A similar development can be seen in automated campaign systems on other platforms. Reddit, for example, has now opened its AI-supported Max campaigns to all advertisers.

What marketers should take away

The three updates reflect three broader trends in the platform business:

  • Creator monetisation is increasingly tied to originality. X is replacing its previous revenue-sharing system with a programme that has much more concrete content rules.
  • AI transparency has algorithmic consequences. Instagram makes correct labelling of synthetic personas a prerequisite for full recommendation reach.
  • Attribution is becoming more part of optimisation again. Snapchat integrates MMP signals directly into campaign control, rather than simply placing them alongside platform data.

For creators and advertisers, this means fewer separate systems: content rules affect monetisation, transparency rules affect distribution, and measurement data increasingly feeds directly into delivery algorithms.

Sources