Store Performance

Store Performance

Overview

  1. Access real-time salon performance data from anywhere.
  2. Track progress across multiple branches or compare performance over different time periods (e.g., this month vs. last month).
  3. A centralized view for salon owners to stay informed and make data-driven decisions.

Performance Metrics

Key Performance Indicators (KPIs) Explained:
  1. Revenue
    Shows the total revenue generated by the store in the selected time frame. If revenue is $0.00, it typically means no bookings were completed that day or data hasn’t yet synced.
  1. Occupancy Rate
    Reflects the percentage of available slots that were actually booked. A low percentage may indicate underutilization of staff or services.
  1. Returning Customer Rate
    This metric shows what portion of customers visited the store more than once during the chosen time period. It’s a strong indicator of customer loyalty.
  1. Total Visits
    Tracks how many appointments or services were completed. This number helps assess the footfall and workload on a given day.
  1. Average Customer Revenue
    Displays how much revenue, on average, each customer brought in. It's useful for identifying high-value clients or services.
  1. Average Customer Repetition
    Indicates how frequently customers are returning. A repetition rate of 0 means no one has revisited the store in the given timeframe.
  1. Total Unique Visits (Lifetime)
    The total number of individual customers that have ever visited the store. This is a cumulative value and doesn’t reset with each time filter.
  1. Potential Monthly Revenue
    An AI-powered estimate that projects what the store could earn in a full month based on current performance trends, available slots, and pricing patterns.

Each performance tile includes a "View Recommendations" button. Clicking this will provide AI-driven suggestions tailored to improve that specific metric—whether it’s increasing customer retention, boosting occupancy, or optimizing revenue per visit.

Below the KPI tiles, you’ll also find visual elements like the Growth Chart and Category-Wise Revenue Distribution, which help you understand trends and revenue contributions by service categories.

AI-Powered Recommendations

The dashboard leverages AI to analyze trends and suggest:

  • Targeted marketing campaigns to recover lost revenue.

  • Improvements in loyalty programs to boost client retention.

🎯 Example Suggestions:

  • Recover ₹8.85 lakh by retargeting lost clients over 3 months.

  • Increase client retention by 25% by optimizing loyalty offerings.


Actionable Insights

Each performance metric is paired with tailored insights to help you act quickly:

  • Suggestions for boosting occupancy, such as special offers or recovery campaigns.

  • Revenue improvement tactics through personalized client engagement.


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