Score human and AI-generated content across 40+ dimensions before you publish. Powered by years of real human studies & behavioral science research.

New York, New York
Joined March 2021
The most expensive habit in marketing analytics is averaging good data into a single number. The compounding cost lives in three places. Misallocated spend, brand equity exposure and opportunity cost. Read more: xstereotype.com/blog
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"Runners welcome. Walkers tolerated." Up on a Boston flagship window. Down within a day. The creative wasn't bad — it just tested with the target and forgot about the 30,000 people walking past the window. sgbonline.com/exec-nike-take…
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The ad industry just hit $1 trillion in annual spend. Three out of four marketers admit they can't properly measure where it goes. #AdTech
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Only 24% of #marketing teams have achieved personalization at scale — but the harder gap isn't infrastructure. It's what goes through the pipeline. Brands keep upgrading delivery. Content calibration is still mostly intuition
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47% of a campaign's success comes from creative effectiveness. Most teams still find out how their content lands after launch — after the budget's already gone. Fix the sequence with #XStereotype. #ContentStrategy
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90% of #marketing orgs now use #AI agents in their stack. Most are also consolidating to fewer tools. Fewer platforms making more decisions creates new concentrated risk.
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40 million ads scanned by AI-powered regulators this year. Enforcement just flipped from 'someone complains' to 'we find it ourselves.' Governance isn't overhead anymore — it's a moat. #AIRegulation
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46% of #GenZ trusts TV ads. 61% distrust social media ads. The generation raised on feeds trusts the format that never pretends to be anything but a commercial. Maybe transparency beats camouflage — even in advertising. marketingweek.com/report-gen…
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Multi-variable segmentation outperforms single-dimension targeting by 20-30%. Most creative briefs still start and stop at "Gen Z." The audience has more dimensions than the label. #MarketingData
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40% of #marketers want to pre-test creative before launch. Only 24% do. We built @XStereotype to close that gap — 40+ predictive dimensions, demographic-level scoring, seconds not weeks. xstereotype.com
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$57B flowing into AI ad platforms this year -- will be interesting to see if CTRs move closer to #Google benchmarks.
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Brands spent 2024 saying "use AI for everything." Now they're stamping "human-made" on ads like it's organic produce. Neither position was based on whether audiences actually respond. We just traded one assumption for a trendier one.
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Brands are paying 3x Meta CPMs to advertise inside ChatGPT. The pitch: reach people mid-decision. The risk: the ad's presence makes the decision feel less trustworthy. Pricing in trust before you can measure it is a bet.
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Brand safety by exclusion worked when content was mostly human-made. With #AI content projected to hit 90% of everything online this year, the only viable play is defining what good looks like — not trying to block everything else.
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Disclosure frameworks for #AI ads assume brands know what's AI-generated in their own pipeline. Most don't. That's a gap no regulation can close — only internal governance can.
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The brand safety conversation usually gets stuck on placement, but how do you know your content actually lands? IAB research confirmed what sharp teams already suspect. 82% of ad execs believe Gen Z and Millennials feel positively about AI-generated ads. The real number is 45%
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Ads are now inside #AI chat answers. The user asked a question expecting a simple response. What they may get is a sponsored one. How will that impact consumer trust?
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