Segmentation Models - Store and Consumer Data Categories

Slide Content

The PowerPoint slide presents a comparison between "Store's Profile" and "End-consumer's Profile" as part of segmentation models based on the characteristics of Point of Sale (POS) or customer shopper profile. The Store's Profile includes geographical location, store location type, store type, store size, and footfall. These aspects cover the physical attributes and consumer traffic of a retail establishment. The End-consumer's Profile covers purchase type, demographics, purchasing power, and behavior, detailing consumer's buying habits, socioeconomic status, and personal interests.

Graphical Look

• The slide is split into two main columns with contrasting blue and orange header backgrounds.
• Each column represents a different profile type - "Store’s Profile" is on the left and "End-consumer’s Profile" is on the right.
• Iconographic images represent each profile; a storefront for the Store’s Profile and a user silhouette with gear shapes for the End-consumer’s Profile.
• Bullet points under each header describe specific attributes or characteristics relevant to the profiles.
• The slide background has a watermark effect featuring abstract shapes and, possibly, small images related to retail environments.
• There are no visible footers or references to external websites in the provided image.

The slide has a modern, professional design with clear segmentation between two sets of data. The icons and color scheme are used efficiently to distinguish between the profiles (store and end-consumer) visually.

Use Cases

• This slide could be utilized in a marketing presentation to explain the segmentation strategy of a retail business.
• It might be used in a sales training to educate staff on the importance of understanding different market segments.
• This would be suitable for a business plan pitch or investor presentation to showcase a targeted approach towards customers.
• It can be integrated into an internal strategy meeting where the focus is on optimizing store layouts and maximizing consumer engagement based on data insights.