Key Takeaways:
- Cuebiq goes beyond surface-level metrics, showing which placements, formats, and audiences actually drive incremental visits across channels and regions.
- Our incrementality methodology uses causal machine learning to simulate a randomized control trial, isolating true campaign lift through behaviorally matched control groups.
- Audience targeting is built on real-world movement data, with 1,000+ pre-built segments and flexible custom options.
- Real-time dashboards reveal what’s working, what’s not, and where to optimize, so you can adjust in flight and maximize results while campaigns are still active.
Agencies and brands working with location data know that you’re not just looking for engagement. You’re looking for movement. And you’re under pressure to connect media exposure to real-world action, and to do it quickly, credibly, and at scale.
Cuebiq’s advanced measurement & targeting platform cuts through the noise, revealing the true impact of media across channels. Cuebiq is built on real behavioral signals, surfacing the right audiences to target, and powering real-time decisions that drive ROAS.
Cross-Channel Measurement: A Holistic View of Campaign Impact
It’s easy to spread your media across CTV, OOH, social, and display. It’s a lot harder to prove which ones are actually driving store visits and in-store performance.
Our cross-channel measurement tools show you exactly which channels, formats, and placements are delivering incremental visits and ROAS, across channels, formats, stores, and regions. It’s your media strategy’s source of truth.
Cuebiq measures performance across:
- Mobile and digital display
- CTV and streaming audio
- Social media and OTT platforms
- Out-of-home (OOH) advertising
Every touchpoint is linked to actual visits through location data and behavioral signals, with KPIs including incremental visits, cost per visit (CPV), and uplift.
Case in point: A leading home furnishings retailer used Cuebiq to analyze its regional media strategy, resulting in a 22.28% increase in visits from exposed devices, validated using Cuebiq’s advanced cross-channel attribution model.
Audience Targeting & Segmentation: Reach with Precision
Knowing who to reach and when is half the battle. Cuebiq gives agencies and brands instant access to more than 1,000 pre-built audience segments, plus the ability to build custom ones based on how people actually move and shop in the real world. Whether you need to activate based on loyalty, recency, frequency, or brand affinity, Cuebiq’s audience builder provides unmatched control.
Types of audience segments include:
- Geo-behavioral: Identify consumers based on movement patterns (e.g., gym-goers, commuters)
- Loyalty: Pinpoint high-frequency customers at specific locations
- Predictive: Target based on churn risk or future visit likelihood
- Seasonal: Align messaging with event- or calendar-based behaviors (e.g., Valentine’s shoppers)
- Branded: Reach fans of specific stores, restaurants, or entertainment venues
One campaign for a gaming brand used Cuebiq’s segments to target casino visitors, resulting in 85,300+ incremental visits at a CPIV of $1.46 and 5.22% uplift among non-loyal users.
Incrementality Measurement: Know What’s Actually Working
Measuring incremental visits is essential for understanding the real impact of advertising. It allows marketers to isolate the lift caused by a campaign from visits that would have occurred anyway.
Cuebiq solves this with a privacy-safe, causal framework for measuring the actual lift driven by advertising, simulating a randomized control trial. Instead of relying on assumptions or lookalike cohorts, Cuebiq dynamically builds control groups that closely match exposed users on behavioral dimensions like:
- Location patterns
- Device type
- Prior visitation behavior
- Media exposure history
This approach allows Cuebiq to isolate the true incremental impact of a campaign with statistical confidence. Key benefits include:
- Daily reports that reveal how exposure influences visitation
- Cost per incremental visit (CPIV) calculations
- Segment-level lift by audience type (e.g., new vs. returning customers)
Brands can act on these insights adjusting media allocations, optimizing creative, and identifying high-performing segments in real-time.
Learn more about how Cuebiq’s Incrementality helps advertisers cut through inflated metrics from legacy attribution tools, delivering statistically sound insights that shape more effective media strategies.
Data Science & Technology: Built to Measure What Matters
Cuebiq’s platform is built on a foundation of proven data science. A commitment to statistical rigor, academic collaboration, and customer-centric tools drives our innovation.
One example is the research behind Cuebiq’s Optimal Ad Exposure tool.
This interactive model analyzes real-world campaign data to identify when visit uplift begins to decline due to ad fatigue. For instance, in digital campaigns, visit uplift begins to slow around 30 exposures, peaks at 42, and then drops off. But not all channels behave the same. Out-of-home (OOH) ads, for example, follow a steadier curve: uplift builds more gradually and levels off, rather than falling sharply. Because OOH blends into the environment and doesn’t interrupt the viewer, it can remain effective at higher frequencies, unlike mobile ads, which often fatigue audiences faster.
Why does this matter? Because media waste is real, and overexposing users can burn through budgets without driving additional visits. Cuebiq helps brands avoid that trap by:
- Visualizing ad performance across exposure thresholds
- Enabling precise frequency capping
- Integrating exposure insights with incrementality data
Whether it’s a digital ad, a CTV campaign, or an OOH activation, Cuebiq helps marketers find the sweet spot where impressions drive action while avoiding diminishing returns.
Dashboard & Reporting: Actionable Insights in Real Time
Cuebiq’s dashboard gives marketers real-time visibility into which audience segments, media tactics, and store locations are actually driving visits, lift, and incremental ROAS. With daily updates, teams can monitor performance, track trends, and course-correct quickly without waiting for post-campaign recaps.
Capabilities include:
- Side-by-side views of exposed vs. control groups
- DMA-level and POI-level reporting
- Visual summaries of time-to-visit and dwell time
- Export-ready charts and summaries for stakeholders
Most dashboards show you what already happened. Cuebiq’s shows you what to do about it. Instead of waiting for post-campaign results, you can identify which placements and tactics are underperforming, double down on what’s working, and adjust while it still matters.
It’s real-time media intelligence, built for marketers who need to make moves, not just measure them.
Why Advanced Measurement & Targeting Matters
Location-based marketing isn’t getting any easier. Today’s agencies and brands are expected to deliver with less signal, more fragmentation, and stricter privacy guardrails. Cuebiq was built for this moment. Our tools are engineered to operate across fragmented media and stripped-down IDs, offering visibility you can trust and insights you can actually use.
Cuebiq’s advanced measurement & targeting solutions are:
- Privacy-compliant, using only opted-in, anonymized data
- Cross-channel-ready, working across mobile, OOH, CTV, and more
- Backed by science, built on causal inference and behavioral modeling, not black-box attribution
From reach to real results, Cuebiq delivers the clearest, most actionable picture of what’s actually driving visits, by which audience, through which channel, and at what cost. It’s much more than measurement. It’s the intelligence behind better targeting, smarter media spend, and stronger ROI.
