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McDonald’s:
More relevant menus. More personal offers.

Machine learning for localized menu recommendations and personalized offers across regional markets.

This engagement was delivered by members of the Deadbolt Digital team before the company was founded in 2026. Case study published .

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THE APPROACH / EXPLORE THE FLOW

Predictive modeling for regional menu preferences

THE OUTCOMES / AT A GLANCE

Six-month results

01 / RESULT87.4%Model prediction accuracy
02 / RESULT+23.6%Localized offer conversions
03 / RESULT+18.2%Recommendation engagement
04 / RESULT−14.8%Promotional spend per conversion

Figures reported for this engagement. Results reflect this client’s scope, timeline and market conditions, are not typical, and do not guarantee similar results for other projects.

01

The challenge

Preferences change from market to market. Menu recommendations and offers needed to reflect regional demand and customer behavior.

02

Our contribution

We contributed predictive models and data-processing workflows that translated regional purchasing patterns into localized recommendations and targeted offers.

03

Business impact

More relevant menu experiences, sharper promotional targeting, and data-informed decisions across markets.

INSIDE THE ENGAGEMENT

What we worked on

  • 01Predictive modeling for regional menu preferences
  • 02Data workflows for localized demand analysis
  • 03Recommendation logic for customer segments and promotional offers
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