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Consumer Facing -‐ Data Analy5cs Led by Loyalty Programs, this segment is where personaliza5on happens to consumers in the stores
Loyalty Programs
Loosing its sheen with high street and bridge to luxury brands
Capturing the consumer Perfect Customer Iden3fier
Segmentation and Campaign Management
Not Differen3ated
BeSer Targe3ng Piggyback on Loyalty programs for Distribu3on
Do not own the source of data Easy for Loyalty Programs to provide Difficult to showcase results 3me over 3me where low wallet share of consumer with one retailer
Clienteling Solutions
Not as Consumer Engaging
Integrated across various data sources High Relevance Complements Sales Associate
Needs Integra3on Across Various Data systems
Personalization, Omnichannel Enablement and Consumer Connect drives the maximum ROI for a retailer
Retailer Facing -‐ Data Analy5cs To beBer understand consumers and op5mizes stores, products and staff, Retailer Facing Data Analy5cs solu5ons have been the poster child of retail tech for the beBer part of the previous decade
Purchase Behavior - POS, Loyalty, Inventory
Data captured at the end of shopping journey, post-‐hoc analysis
Understand Buying Behavior Piggyback on POS, Loyalty and Inventory for Distribu3on
Browsing Behavior - Video, BLE, WIFI
Leakage in capturing data
Understand Behavior that leads to Buying Own the source of data
Need to install addi3onal hardware Not totally passive; Need to get consumers to download app or opt into services
Important to own sources of data and integrate across all. Major drawback is that these are just observers, not interceptors to consumers to influence purchase
Virtual Dressing Rooms, Sharing via Email/Whatsapp
SoLoMo Based Apps
Point of Sale, Payment, Loyalty
Value lies with one who controls consumer experience whilst owning and inventing new sources of data in the store that understand shopping
- Drive Shopper Engagement and Enhance Experience - Invent and own new sources of Data in the Retail Environment - Understand Shopper Behavior to Sell More and Sell Better