Understanding the “status” of a restaurant Concept, one that reflects where it is in its life-cycle, can be important when choosing who to prospect in the foodservice space. In the account-based sales world, it is key to understand the current status in order to orchestrate all involved stakeholders (marketing, SDRs, AEs, etc.).

Background

Restaurantology can automatically detect a Concept’s status by analyzing its unit change, be it positive and negative, over time. The status is automatically evaluated each time verified changes occur during our monthly scans, and surfaced in the “Inferred Status” field on the Concept’s profile. This field is a formula field that combines the values in the “Unit Growth” and “Historical Closures” fields into a single value, using a specific logic.

Detection and Calculation

Using recent Unit Growth and Historical Closures as a guide, there are 16 resulting “Inferred Status” combinations that are summarized into one of six possible logical groupings:

• High Growth: Rapid unit growth, no (or negligible) historical closures
• Emerging:
  • Rapid growth, few historical closures
  • Positive growth, no (or negligible) historical closures
• Stable:
  • Rapid growth, moderate historical closures
  • Positive growth, few historical closures
  • No growth, no (or negligible) historical closures
• Stagnant:
  • Rapid growth, significant historical closures
  • Positive growth, moderate historical closures
  • No growth, few historical closures
  • Negative growth, no (or negligible) historical closures
• Declining:
  • Positive growth, significant historical closures
  • No growth, moderate historical closures
  • No growth, significant historical closures
  • Negative growth, few historical closures
  • Negative growth, moderate historical closures
• Struggling: Negative growth, significant historical closures

Using Inferred Status as a filter field

Inferred Status is available in both the Restaurantology Chrome extension and CRM integration products, where relevant fields can be viewed on Concept profiles and records, and can be incorporated into filters for advanced searches and restaurant industry reverse look-ups.