Advertising Case Studies | GumGum | Real Brand Outcomes
We Succeed When Our Clients Succeed
Honest Company Sees 15% Purchase Intent Increase with Pause Ads
Honest Company Sees 15% Purchase Intent Increase with Pause Ads
increase in purchase intent
01012345%
increase in brand consideration
01012345%
Creating Sustainable Quality Reach and Engagement for RWE through Contextual Mindset Targeting
Creating Sustainable Quality Reach and Engagement for RWE through Contextual Mindset Targeting
viewability for total campaign (75% benchmark)
012345678901%
minutes of time on site (1:15 benchmark)
012345:0120+
Boosting brand awareness 22% for Scotiabank’s Scene+ credit cards
Boosting brand awareness 22% for Scotiabank’s Scene+ credit cards
increase in brand awareness
012012%
increase in brand favourability
010%
Raising the Stakes with Betty’s Attention-Driven Gaming Strategy
Raising the Stakes with Betty’s Attention-Driven Gaming Strategy
of those exposed have or will take action
012345601234%
increase in brand awareness once optimal attention threshold was reached
01012%
Make it Scotch Beats Ad Benchmarks When Healthier Choices Are Top of Mind
Make it Scotch Beats Ad Benchmarks When Healthier Choices Are Top of Mind
CTR on Velocity
01.0120%
Viewability on Velocity
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The Methodology
From Standard Assets to High-Impact Experiences
Understand Mindset
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.
Explore Mindset
Across Omnichannel Media
Consistent receptivity intelligence across CTV, OLV, and High Impact. Every touchpoint informed by the same mindset layer, so each one builds on the last.
Explore Omnichannel
Better Results
Real campaigns. Verified outcomes. See what Mindset-powered media delivers, measured by independent third parties.
Explore Results
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Frequently Asked Questions
Common inquiries
How does media mix modeling account for audience mindset?
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.
What do standard marketing attribution models miss?
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.
What should a brand lift study actually tell you?
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.
What's missing from most brand awareness measurement?
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.
Why isn't ad viewability enough to measure campaign effectiveness?
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.