Creating Sustainable Quality Reach and Engagement for RWE through Contextual Mindset Targeting
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Owning the Break: Archer Launches First-to-Market Pause Ads to Capture Snack-Time Attention on CTV
From Standard Assets to High-Impact Experiences
The Mindset Graph™ decodes the "Why" behind consumer behavior by analyzing 30B+ daily signals across text, image, and video. We move beyond static profiles to find the exact moment of peak receptivity.
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Consistent receptivity intelligence across CTV, OLV, and High Impact. Every touchpoint informed by the same mindset layer, so each one builds on the last.
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Real campaigns. Verified outcomes. See what Mindset-powered media delivers, measured by independent third parties.
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See How Mindset Works For Your Campaigns.
Tell us about your goals, and we’ll show you where Mindset can make the biggest impact.
Common inquiries
Most MMM frameworks attribute performance to channel, spend, and timing. They do not capture whether audiences were in a receptive state when impressions were served, which means the model can show where results came from, but not why those placements performed better. Campaigns built on mindset add a dimension MMM cannot quantify on its own: the receptivity of the audience at the moment of contact.
Most attribution models, including last-click, multi-touch, and data-driven, track what a user did after seeing an ad. They do not account for the state the user was in at the time of exposure. Two identical placements can produce very different outcomes depending on audience receptivity. Attribution models that ignore mindset will often undervalue placements that perform well for reasons standard signals cannot detect."
A standard brand lift study tells you whether awareness, recall, or favorability changed. It does not explain what caused that change. Attentive Lift goes further by connecting attention quality and receptivity to brand outcomes, so you can see not just whether lift occurred, but which high-receptivity moments drove it. This is the difference between measuring an outcome and understanding its cause.
Most brand awareness measurement tracks impressions, reach, and recall, and treats all impressions as equal. The issue is that an impression delivered to an unreceptive audience performs very differently from one delivered in a moment of genuine openness. Awareness measurement that includes receptivity shows which placements actually contributed to building the brand, not just which ones were delivered.
Viewability confirms that an ad was visible. It does not confirm that the audience was ready to receive it. A fully viewable impression served to someone who is scrolling, distracted, or disengaged from the surrounding content will perform very differently from one delivered in a moment of genuine receptivity. Viewability is a necessary baseline, but it was never designed to predict performance.