Get 37% of Sales via Loyalty Members

NEWTON, MA - July 09, 2024 

Paytronix published 2024 Paytronix Loyalty Trends Report. It found that the 75th percentile of loyalty transactions are 30% of their sales from loyalty program members.

The report helps restaurants and c-stores improve guest engagement and boost their loyalty programs.

“The first step toward a more effective loyalty strategy is to evaluate your current program's performance by assessing key metrics like penetration, growth rate, discount levels, and whether members' behaviors align with your corporate goals,” said Jeff Hindman, Paytronix CEO.

“With the 2024 Paytronix Loyalty Trends Report, we’re helping brands understand their program’s strengths and weaknesses and then providing the necessary guidance to create a more dynamic offering that aligns with critical goals, including customer engagement, profitability, and customer lifetime value.“

Understanding the Findings

Key findings from Paytronix Loyalty Report include:

Engaging Guests

The best quick-service restaurants (QSRs) have 62% monthly loyalty program member retention rate. The best full-service restaurants (FSRs) keep 57.8% of their loyalty program members month-to-month.

C-stores lead, with the best having an 85% retention rate.

Getting More Loyalty Members

The best QSRs sign up 110 new loyalty members each month. FSRs get 70 new members monthly. Leading c-stores add an average of 36 new members each month.

Personalization 

Over 70% of brands’ campaigns are grouped. Less than 10% of campaigns used predictive model scores.

Email is Top 

More than 80% of campaigns rely on email. 

Average Spend Per Visit

For QSRs, the average spend per visit is $19.05 for brands in the 50^th percentile and $30.16 for those in the 90^th percentile. For FSRs, it’s $39.35 and $77.49, respectively; and for c-stores, $13.03 and $24.30.

Methodology

The 2024 Paytronix Loyalty Trends Report explains how to use your data. It helps brands compare their own results.

The report also examines program features, such as:

• Personalization 

• Data analytics 

• Program design 

• Emotional engagement 

• Targeted messaging