CAPACITY BASED MCDELIVERY

TitleCAPACITY BASED MCDELIVERY
BrandMCDONALD'S
Product / ServiceMCDONALD'S PRODUCTS - ALL OF THEM
CategoryD01. Use of Data
EntrantOMD SINGAPORE, SINGAPORE
Idea Creation OMD SINGAPORE, SINGAPORE
Media Placement OMD SINGAPORE, SINGAPORE

Credits

Name Company Position
Elisa Chua OMD Singapore Business Director
Sadhan Mishra OMD Regional Business Director
Karen Soo OMD Singapore Digital Director
Melissa Tan OMD Singapore Associate Manager
Riddhi Parekh OMD Singapore Specialist, Performance Media

The Campaign

Linking real-time McDonald’s customer delivery order via an API, processing it using a custom-built script, then pushing it dynamically into Google AdWords for paid activation, we were able to create a Capacity Based Search Advertising model based on live restaurant data. The Capacity Based Search Advertising System is designed as an always-on system that keeps track of demand and supply of McDelivery in Singapore, reacts to different scenarios and automatically decides the media bid price and Ad copy to be delivered in a specific neighbourhood– all in real time. Thus, if demand spikes in an area and delivery wait time is compromised, search spend in the area decreases immediately in response. In areas where there was excess capacity, spends were pushed up and the ad copy celebrated the low wait time.

Creative Execution

1. Singapore is divided into more than 25 neighbourhoods using Google’s hyper-local targeting capability. 2. A real-time data feed (API) into McDonald’s nation-wide delivery management system is set up to access customer delivery wait time by neighbourhood every 5 minutes. 3. Using a custom-built coding script, neighbourhoods are then categorised as high, medium or low capacity in real time as demand fluctuates. 4. A set of capacity-based media activation rules in Google AdWords’ determine how aggressive spends would be in each neighbourhood and what messages would be served – all optimised in real-time. If capacity went up so did search spend levels and the creative celebrated a lower wait time. If capacity went down search spend levels dropped. Ads were paused altogether in neighbourhoods that were not able to deliver due to high demand.

Results

The campaign was a huge success, delivering incremental growth from an existing leadership position. 1. More cost-efficient delivery orders. • 35% increase in average monthly ROAS (Return on Ad Spend) in Sep/Oct 2016 vs. target of 10% 2. Increased demand for delivery to restaurants that could accommodate additional demand. • 9% increase in monthly delivery revenue in Sep/Oct 2016 attributed to SEM vs. target of 2% The Singapore success story is now serving as a template for real-time data-driven marketing globally within McDonald’s. “The pilot has been successful and we are planning to roll this out in more markets.” – Silvia Lagnado, Global CMO, McDonald’s Recognition received so far: • Silver Lion at Cannes • Gold: Festival of Media Global • Gold: Festival of Media APAC • Gold: Cristal Awards • Silver: The Internationalist

This case clearly demonstrates smart use of real-time data to create to increased relevance of media spend and messaging to consumers at a hyper-local level. To maintain competitive advantage for McDelivery (McDonald’s food delivery service), we identified a way to maximise McDonald’s biggest strengths–the breadth of their store network and the depth of their owned data. We created an agile ad delivery system in partnership with Google, which responded to real-time restaurant capacity to dynamically change ad-spend and messaging in each delivery neighbourhood. This initiative has proven to be a runaway success in Singapore and is becoming a global initiative.

To maintain a competitive advantage, we had to maximise McDonald’s biggest strengths–the breadth of their store network and the depth of their owned data-to unlock the potential of every restaurant. We focused on innovation within paid search as the channel consistently delivered maximum ROI for McDelivery. Partnering with Google, we developed a global first for any brand in any category; mapping real-time restaurant-level data against paid search spends level via a live API. If demand spiked in an area and delivery wait time was compromised, search spend decreased immediately in response. In areas where there was excess capacity, spends were pushed up and the ad copy celebrated the low wait time. Through this Capacity Based Search Advertising System, each restaurant across 25+ zones in Singapore was able to churn the optimal level of orders and manage customer expectation, resulting in better use of ad-dollars efficiency and a better customer experience.