QSR client outperforms campaign benchmark 1.4x-1.9x by engaging lapsed guests

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CHALLENGE

An international quick service restaurant (QSR) chain wanted to determine which campaigns would yield the highest ROAS using their newly expanded first-party data. Would reaching these guests with the right message at the right time drive visits and customer lifetime value (CLV) while preventing the dreaded customer churn?

SOLUTION

We collaborated with the client to identify and engage guests who had lapsed based on their previous purchase behaviors within the window of the last brand campaign using our proprietary machine learning (ML) algorithm.

Our advanced lifecycle model identified high, medium and low frequency customers that could be targeted.

The lapsed standard frequency customer outperformed the benchmark, and having tested the campaign with positive results, the client can continue with the lapsed guest strategy at scale, bringing in even greater returns over time.

QSR client measures positive campaign impact on new customer acquisition, incremental sales and CLTV

An international QSR wanted to determine how a recent product-driven offer performed across different customer segments, and measure how the offer impacted customer lifetime value (CLTV) as well.

QSR client uncovers 78M customers and outperforms ROAS benchmarks 5-6X

A QSR client was looking to identify and better understand their guests, as well as extend their targeting and attribution capabilities during media activation.