Insurance Service Network - Case 3

1. Client: Hxxxx Insurance Service Network  (Client names have been anonymized.)

2. Applied Solutions: AI-Powered Audience Analytics, Spatial Heatmap Analysis

3. Background: Unclear Effectiveness of Ad Content: Various insurance product ads were displayed on digital signage at the entrance, but there was no quantitative tool to measure which messages actually drove store entries.

• Disconnected In-store Experience: Since the movement of customers who entered after seeing an ad could not be tracked, it was difficult to optimize layouts and establish effective marketing strategies.
• Inefficient Branch Operations: Lack of accurate data on visitor patterns by day and hour made it difficult to manage consultants effectively, leading to missed consulting opportunities during sudden peak times.

4. Deliverables:  

• Ad-to-Inflow Attribution Analysis: Provides correlation data between signage viewers at the entrance and actual store entries. Offers insights for selecting high-performing ad content by analyzing demographic-specific attention and conversion rates.
• Customer Journey & Spatial Occupancy Analysis: Provides data on customer movement and dwell time within specific zones of the store to help establish operational strategies.
• Analysis Solution & Reports: Provides an analysis system and reports to monitor ad performance and visitor inflow patterns.

5. Key Achievements:  

• Increased Inflow Conversion and Optimized Customer Management.
• Ad Content Optimization: Analyzed 'Attraction Rates' (store entry after viewing an ad) using Vision AI to identify the most effective insurance content for different demographics, maximizing operational efficiency.
• Improved Layout through Spatial Analysis: Identified areas where customers stay the longest to optimize the placement of promotional materials and consulting zones, increasing engagement opportunities.

6. Testimonial:

"Data has become the compass for our marketing and operations."

"In the past, we often relied on vague assumptions when choosing which ads to run. After adopting the solution, we can now see in real-time which age groups respond to specific ads and enter the store.

Identifying where customers spend their time while waiting through Spatial Heatmap analysis was a major breakthrough. Since we adjusted our service guides and layouts based on customer flow, we have seen a noticeable increase in engagement. Now, all our operational decisions are backed by data."

— Team Leader of Hxxxx Insurance Service Team