Scaled Media Performance

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Choose your preferred way to quickly see how predictive modeling and localized media activation drove measurable franchise-wide results. Watch the Case Study Video (5-Min Overview) | Read the Case Study Summary (2-Min Read)

The Challenge:

Fragmented Spend, Flat Growth

A national restaurant brand operating across 700+ locations was struggling with fragmented media spend, plateauing market share, and inconsistent performance. Without a unified, scalable media approach, both corporate and local teams lacked alignment and agility—local campaigns weren’t delivering ROI, and HQ couldn’t justify incremental investment.

Solution + Strategy

Our Strategic Playbook:

We deployed a precision media strategy across nine distinct channels and 29 unique platforms, powered by predictive modeling and localized optimization, to deliver scalable, franchise-wide performance.

• Predictive Intelligence:

• Custom predictive models tailored at the store level.

• localized activation:

• Geo-targeted paid social/search campaigns optimized by DMA.

• AI-driven scenario dashboard:

• Interactive, predictive scenario-planning tools for agile decisions.

• Balanced autonomy:

• Clear central strategy coupled with empowered local franchise decision-making.

Tailored Tactics for Every Market

Paid Social & Search:

Geo-targeted activations designed around each market’s most impactful channels, aligning spend precisely to store-specific goals.

Programmatic Display:

Dynamic creative templates allowed messaging to shift based on real-time market performance and local business objectives.

Flighting & Budget Shifts:

Dashboard-driven optimizations enabled continuous budget reallocation, quickly seizing opportunities to maximize local impact.

Franchise Empowerment:

Custom-built AI scenario planning tools provided clear insights, enabling franchise owners to confidently manage localized spend with oversight from corporate teams.

results + Impact

Proven Impact. Measurable Growth.

This operating-model shift proved that data-driven, locally empowered campaigns can drive consistent, scalable returns across an entire franchise network.

• 3.9 Billion total impressions delivered

• 2× Return on Ad Spend (ROAS) across key markets

• $129 M Incremental Online Revenue

• 26% Increase in Foot Traffic

• Elevated trust and increased local budgets

Data-driven forecasting:

Use historical data, regional insights, and predictive modeling to precisely plan and optimize local media strategies.

tailored local activation:

Customize media plans for each market, maximizing budget effectiveness and store-level outcomes.

Balanced decision-making:

Centralize strategic oversight while enabling franchise-level autonomy to swiftly respond to local opportunities.

clear, Measurable Results:

Demonstrate concrete ROI, including increased traffic, higher revenue, and improved ROAS.

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