The Location Analytics module provides a comparative view of call performance, opportunities, sentiment, and task execution across all locations in your organization. It allows multi-location practices to understand which offices perform strongly, where operational gaps exist, and how patient experience differs by region.
This dashboard helps identify trends across locations for calls, bookings, task completion, and customer sentiment, enabling data-driven decisions to improve consistency and overall organizational performance.
What it means
Total number of calls handled across all locations in the selected timeframe.
Why it matters
Shows overall call volume across the organization and highlights which locations manage more patient interactions.
How practices use it
Evaluate staffing needs across locations
Compare call load distribution
Identify high-traffic practice areas
What it means
Total number of scheduling opportunities generated across all locations.
Why it matters
A high number indicates strong demand or strong call-handling workflows.
How practices use it
Compare opportunity generation by location
Identify growth trends
Assess lead flow consistency
What it means
Total number of opportunities converted into booked appointments across all locations.
Why it matters
Reflects overall booking performance organization-wide.
How practices use it
Identify top-performing locations
Evaluate team effectiveness in converting leads
Benchmark booking success rates
What it means
Percentage of calls across all locations where customer sentiment was classified as unhappy.
Why it matters
Highlights potential service issues or communication gaps regionally.
How practices use it
Compare sentiment issues across locations
Identify the need for training or staffing improvements
Monitor service quality over time
What it means
Average score of all scored calls across the organization.
Why it matters
Reflects the overall call-handling quality across locations.
How practices use it
Compare performance across clinics
Evaluate training impact
Identify consistency gaps
What it means
Shows incoming, outgoing, and missed calls for each location.
Why it matters
Reveals call traffic patterns and how each location manages call loads.
How practices use it
Identify locations with high missed-call counts
Balance call-handling responsibilities
Evaluate staffing alignment
What it means
Shows the number of scheduling opportunities generated per location.
Why it matters
Indicates demand levels and effectiveness of answering scheduling-related calls.
How practices use it
Compare performance between clinics
Determine opportunity volume per region
Assess impact of local marketing efforts
What it means
Percentage of new patient opportunities successfully converted into booked appointments at each location.
Why it matters
Highlights how well each clinic converts new patient calls into revenue.
How practices use it
Identify conversion strengths/weaknesses
Improve new patient handling scripts
Adjust training to reduce lost opportunities
What it means
Percentage of existing patient opportunities converted into bookings at each location.
Why it matters
Shows how efficiently returning patients are handled.
How practices use it
Compare follow-up performance by location
Identify operational gaps for existing patients
Improve scheduling consistency
What it means
Breaks down how many scheduling calls were received, how many were booked, and the performance of:
Incoming scheduling calls
Outgoing scheduling calls
Booking percentages for each direction
Why it matters
Provides a detailed view of scheduling efficiency per location.
How practices use it
Compare booking strength between incoming vs outgoing calls
Identify underperforming scheduling workflows
Improve time allocation to scheduling efforts
What it means
Percentage of unhappy sentiment calls at each location.
Why it matters
Shows which locations struggle with communication or service experience.
How practices use it
Flag offices needing customer service training
Compare sentiment trends
Improve patient experience based on regional insights
What it means
Average call score across all scored calls for each individual location.
Why it matters
Reveals call-handling quality differences across offices.
How practices use it
Benchmark performance between locations
Evaluate training needs
Identify high-performing locations
What it means
Percentage of auto-created tasks completed at each location.
Why it matters
Reflects follow-through consistency and operational health per clinic.
How practices use it
Identify backlogs at specific locations
Ensure patients receive timely follow-ups
Improve workload distribution
If one location handles significantly more calls, evaluate whether they need increased phone coverage.
High missed call rates often signal:
Understaffing
Inefficient call routing
Operational bottlenecks
If one location has low new or existing patient win rates, introduce targeted coaching.
Sentiment trends highlight communication gaps and patient experience issues.
Look for patterns like:
Strong incoming scheduling performance
Weak outbound follow-ups
Conversion inconsistencies
Large gaps may mean one location follows scripts and processes better.
A location with low task completion may need better workflow management or staffing adjustments.
Combine call volume, opportunities, sentiment, and task completion to guide:
Staffing allocations
Training programs
Marketing efforts
Use conversion and sentiment metrics to ensure each clinic supports overall organizational growth.
Share dashboards in team meetings to improve accountability and motivate performance improvements.