How to Turn Upper-Funnel Video Views into Offline Sales with a 24X ROAS
Updated: Sep 23
A common challenge for quick-service restaurants and omni-channel retailers is measuring how upper-funnel brand awareness campaigns directly impact real revenue. When a business relies on both digital orders and physical foot traffic, tracking the exact return on investment from video ads often feels like guesswork.
A fragmented, multi-channel social media strategy can quickly lead to skyrocketing acquisition costs without a clear picture of what is actually driving profitable sales. In one recent industry case study, a fragmented approach caused the Cost-Per-Acquisition (CPA) to spike to over five times the price of an average meal.
Here is how consolidating that strategy using AI-automated video and offline tracking turned upper-funnel views into a 24X Return on Ad Spend (ROAS).
The Strategy: YouTube AI, Multi-Format Delivery, and Relatable Creative
To bring costs down and accurately measure impact, the strategy was shifted to a unified digital video approach on YouTube.
Contextual Creative
Because meal decisions happen fast, the video creatives were designed to connect quickly through humour, sports, and family dynamics. The campaign was timed around a major global sporting event, capitalising on the high volume of consumers using smartphones and YouTube to watch highlights and engage in online discussions.
Multi-Format Optimisation
The campaign utilised both vertical video formats tailored for short-form mobile scrolling and horizontal layouts designed for living room TVs.
AI-Powered Ad Delivery
Instead of manually adjusting ad groups, the campaign leveraged automated video view algorithms. The AI dynamically delegated asset delivery across different formats and screens, ensuring each viewer saw the optimal ad at the perfect moment. This superhuman scale of optimisation freed the marketing team to focus entirely on high-level strategy and customer insights.
Closing the Measurement Gap with Offline Tracking
The most critical step in the campaign was connecting YouTube video views to physical in-store foot traffic.
By implementing advanced store visit tracking tools, the marketing team could finally see when a physical visit resulted directly from a previous online ad engagement. This capability closed a massive data gap and revealed a vital consumer trend: many price-conscious buyers were seeing the digital ads but choosing to bypass third-party delivery apps. Instead, they were calling local branches directly or walking into physical stores to collect their meals and avoid delivery fees.
By feeding this newly discovered offline conversion data back into the system, the algorithm became significantly smarter, allowing it to find and target similar high-intent customers who were likely to convert offline.
The Impact
Connecting online ad engagements to store visits fundamentally changes the role of top-of-funnel marketing. Upper-funnel video is no longer just an abstract brand awareness exercise. With Google AI features and offline tracking tools in place, it becomes a measurable performance engine that drives verifiable online and offline business outcomes.
What tools are you currently using to attribute your digital marketing efforts to physical in-store traffic?
Source: www.business.google.com
