Why has Advance's Speed Perks loyalty program enrollment rate declined by 25% since the latest website redesign?

Introduction

The recent 25% decline in Advance's Speed Perks loyalty program enrollment rate following the website redesign is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications for the loyalty program and overall customer experience.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking the redesign might have introduced usability issues. Has there been a significant increase in customer support tickets or negative feedback specifically related to the enrollment process since the redesign?

Why it matters: This helps pinpoint if the redesign directly impacted user experience during enrollment. Expected answer: Yes, there has been an increase in support tickets related to enrollment difficulties. Impact on approach: If confirmed, we'd focus on UX improvements in the enrollment flow.

• Considering potential technical issues, have there been any reports of increased page load times or error rates during the enrollment process since the redesign?

Why it matters: Technical performance issues could be deterring users from completing enrollment. Expected answer: Some intermittent slowdowns have been reported, but no significant error rate increase. Impact on approach: We'd prioritize performance optimization if confirmed.

• Thinking about visibility, has the placement or prominence of the Speed Perks enrollment call-to-action changed with the redesign?

Why it matters: Reduced visibility could explain lower enrollment rates. Expected answer: The CTA was moved from the homepage to a submenu. Impact on approach: We'd consider redesigning the navigation and CTA placement.

• Regarding user segments, has the decline in enrollment been consistent across all customer types, or are certain segments more affected?

Why it matters: This helps identify if the issue is universal or specific to certain user groups. Expected answer: New customers show a more significant decline compared to returning customers. Impact on approach: We'd tailor solutions to address the most affected segments.