Total number of calls handled by the practice (incoming + outgoing) during the selected date range.
This KPI is a primary indicator of overall phone activity and demand. It helps practices understand workload trends and whether call volume is increasing or decreasing over time.
If Total Calls = 777 for the month, that number represents all answered and placed calls in the selected range.
Total number of inbound calls the practice received during the selected date range.
Incoming calls are the primary source of new patient inquiries and direct revenue opportunities. They show patient-initiated demand and are essential for measuring the effectiveness of phone coverage.
If Incoming Calls = 329, this indicates 329 inbound call attempts in the chosen timeframe.
Total number of outbound calls placed by the practice — this includes callbacks, confirmations, reminders, and collections.
Outgoing calls reflect proactive patient outreach and administrative workload. They also show how much effort staff spends on follow-ups that can convert missed opportunities.
Outgoing Calls = 523 indicates your team made 523 outbound attempts during the date range.
Calls categorized as scheduling-related: booking new appointments, rescheduling, availability inquiries, or confirmation conversations that relate to scheduling.
Scheduling calls are high-value interactions — they are the most likely to directly result in booked appointments and production. Monitoring scheduling volume helps measure demand and front-desk effectiveness.
Scheduling Calls = 429 shows how many conversations were identified as scheduling-related in the period.
Number of confirmed appointments that originated from scheduling calls within the selected date range.
This is the direct conversion metric showing the business impact of call-handling — booked appointments are the primary revenue driver tied to phone performance.
If Appointments Booked = 323, that means 323 bookings were completed as a result of scheduling calls during the timeframe.
A breakdown of incoming calls showing total incoming, how many were answered, how many were missed, and how many were missed during business hours.
This chart highlights immediate response gaps. Misses during business hours are particularly costly because they represent lost opportunities when staff should be available.
If Incoming = 329 and Answered = 223 (67%), then 33% were missed — prioritize reducing these missed calls during business hours.
A time-series (stacked bar) showing counts of incoming, outgoing, and missed calls over the selected period (daily, weekly, etc.).
This reveals daily and weekly patterns in call direction, enabling you to spot spikes, understand workload mix, and detect days with unusually high missed counts.
If Nov 12 shows a spike in missed calls, review scheduling and routing for that day to find the root cause (staffing, system outage, campaign spike).
Call volume aggregated by hour of day, showing when your practice receives the most calls across the selected range.
Hourly volume is essential for optimizing shift schedules and ensuring that peak times are covered by enough staff to answer calls promptly.
If 11:00–12:00 shows consistently high volume, add a dedicated receptionist for that hour to keep the answered rate high.
Trend of unique callers (distinct phone numbers) separated by incoming, outgoing and missed call direction. Each unique number counts once per period.
This distinguishes repeated attempts by the same caller from distinct new callers — a useful signal for marketing attribution and unresolved issues.
If Nov 5 reports 23 unique incoming callers, it shows 23 different numbers engaged your practice that day.
A breakdown showing total scheduling calls and how many of them were incoming vs outgoing, plus appointments booked from each segment (conversion rates by direction).
This helps you understand whether inbound scheduling or proactive outbound scheduling produces higher conversion, and whether outreach is effective.
If Incoming Scheduling Calls = 223 and Appointments Booked from Incoming = 203 (95% conversion), inbound booking performance is strong — replicate successful tactics.
This chart displays the total calls handled by the practice for each call type across the selected date range. It shows a stacked daily bar for every call type—such as Scheduling, Emergency, Rescheduling, Confirmations, Recare, Clinical, Billing, Insurance, Product Order, Verifications, Vendor, Other, and Incomplete calls.
Understanding the distribution of call types helps practices identify operational patterns and emerging needs. High volumes in certain categories often signal process gaps, staffing shortages, or areas requiring additional training. It also reveals how much time the front desk spends on clinical vs administrative vs operational conversations.
If November 13 shows higher-than-normal Billing and Insurance calls, the practice may prepare FAQs, staff scripts, or assign a team member dedicated to financial questions to reduce call time and improve patient experience.
Time-series and totals showing volumes for each call type: Clinical, Billing, Insurance, Recare, Product Orders, Verifications, Vendor, Other, etc.
Understanding which call types generate the most volume helps prioritize training, staff specialization, and operational improvements for high-friction areas.
If Insurance calls spike after a policy change, add a quick training note for staff to handle the new questions appropriately.
Charts that attribute new patients and new-patient calls to marketing sources (Direct, Organic, Paid, Facebook, Google, Bing, etc.), and show trends over time.
This is essential for marketing ROI — it reveals which channels bring real inbound call interest and new patient bookings, enabling smarter budget allocation.
If Google Paid produced 12 new patient calls on Nov 13 and 3 of those booked, measure cost vs booking to decide whether to scale that campaign.
This chart shows how many new patients were acquired from each marketing source within the selected time range. Sources include Organic, Paid, Platform-specific channels (Google, Bing, Facebook), Direct, or grouped categories such as “All Organic” or “All Paid.”
New-patient counts by source directly measure the effectiveness of your marketing channels. They reveal which campaigns generate the most real conversions, not just clicks or impressions. This allows practices to understand ROI on marketing investments and optimize budget allocation.
If “Facebook Paid” generated 18 new patients while “Google Paid” generated 12 during the same period, the practice may allocate more budget to Facebook campaigns for stronger ROI.