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Behavioral Health Network Network Intelligence

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8-Facility Sample Network Demo Data

This is a sample intelligence report using illustrative data for a behavioral health network. No real network data is shown. ConversionSignal analyzes customer conversation patterns only. No clinical records, treatment data, or patient health information is ever accessed or stored.

This demonstration shows what ConversionSignal surfaces for a behavioral health network. The platform has analyzed 18,200+ illustrative inquiry conversations across 8 facilities to identify where admissions are converting, where they are dropping off, and exactly what is driving the performance gap between top and bottom facilities. All data shown is illustrative.

The Headline Numbers

$980 vs. $3,200
Best vs. worst facility cost per admission. A 3.3x gap across the network.
71% vs. 29%
Best vs. worst intake show rate. Facility 7 is losing more than half its scheduled intakes.
$28,400
Recoverable budget waste identified in the first analysis run.

The figures in this analysis are illustrative. No real network data is shown.

This platform works alongside your existing marketing and operations. No disruption. No switching. Just visibility you do not have right now.

Three questions your current setup cannot answer
What is your cost per admission at each facility right now? Is your intake show rate gap an advertising problem or an intake coordinator problem? What is closing that gap worth annually in census revenue?
Section 01: Network Overview

Network Overview

18,200+
Inquiry Conversations Analyzed
Pre-intake inquiry conversations analyzed across all 8 facilities over the past 12 months.
$1,840
Network Avg CPA (Cost Per Admission)
Total ad spend divided by new admissions. Network average. Facility 1 achieves $980.
47%
Network Avg Intake Show Rate
Percentage of scheduled intakes that actually show. Industry average is 42%.
$28,400
Recoverable Budget Waste
Monthly ad spend identified as recoverable budget waste. Found automatically in the first analysis run.
Section 02: Telehealth vs. In-Person

Virtual Intake vs. In-Person

38%intake show rate
Virtual Intake Appointments

Virtual intakes show at nearly half the rate of in-person. Scheduling window and confirmation cadence are the primary factors.

68%intake show rate
In-Person Intake Appointments

In-person intakes convert and show at network-leading rates. Highest length of stay correlation.

Why This Matters
A 10-point improvement in intake show rate across an 8-facility network, at an average program revenue of $18,000 per admission, represents approximately $2.4M in additional annual revenue. The gap between Facility 1 and Facility 7 is driven by intake coordinator response time and confirmation cadence, not clinical quality or program reputation.
Section 03: Facility Benchmarks

Facility Benchmarks

The table below ranks all 8 facilities by CPA (Cost Per Admission). Facility 1 and Facility 7 represent the two ends of the performance spectrum. The gap between them is not random. It is driven by measurable, fixable differences in intake coordinator response time, follow-up cadence, and scheduling practice.

FacilityCPA (Cost Per Admission)Intake Show RateAvg Length of Stay (days)Revenue MultipleStatus
Facility 1$98071%348.4xTop Performer
Facility 2$1,28062%316.8xStrong
Facility 3$1,54054%285.4xAbove Average
Facility 4$1,78048%254.2xAverage
Facility 5$1,98044%233.6xAverage
Facility 6$2,48038%212.8xBelow Average
Facility 8$2,72034%192.4xBelow Average
Facility 7$3,20029%182.1xCritical
The Facility 1 vs. Facility 7 Gap
Facility 1 acquires admissions at $980 each with a 71% intake show rate. Facility 7 costs $3,200 per admission at a 29% intake show rate. That is a 3.3x cost difference and a 2.4x show rate difference from two facilities in the same network running the same programs. The pattern analysis below identifies exactly what Facility 1 is doing differently.
Section 04: Facility Scorecard

Facility Scorecard

Each facility receives a composite performance score from 0 to 100, calculated from Cost Per Admission, intake show rate, average length of stay, and revenue multiple relative to network benchmarks. Scores update nightly as new conversation and pipeline data is processed.

Facility 1

CPA$980
Intake Show Rate71%
Avg Length of Stay34 days
Revenue Multiple8.4x

Identify and replicate intake workflow

Top Performer
93

Facility 2

CPA$1,280
Intake Show Rate62%
Avg Length of Stay31 days
Revenue Multiple6.8x

Minor intake cadence improvements available

Strong
79

Facility 3

CPA$1,540
Intake Show Rate54%
Avg Length of Stay28 days
Revenue Multiple5.4x

Follow-up cadence is primary lever

Above Average
71

Facility 4

CPA$1,780
Intake Show Rate48%
Avg Length of Stay25 days
Revenue Multiple4.2x

Intake scheduling gaps identified

Average
63

Facility 5

CPA$1,980
Intake Show Rate44%
Avg Length of Stay23 days
Revenue Multiple3.6x

Response time and confirmation gaps

Average
58

Facility 6

CPA$2,480
Intake Show Rate38%
Avg Length of Stay21 days
Revenue Multiple2.8x

Virtual intake scheduling and coordinator gaps

Below Average
44

Facility 8

CPA$2,720
Intake Show Rate34%
Avg Length of Stay19 days
Revenue Multiple2.4x

Confirmation cadence and census gaps

Below Average
39

Facility 7

CPA$3,200
Intake Show Rate29%
Avg Length of Stay18 days
Revenue Multiple2.1x

Response time, intake show rate, and length of stay all require intervention

Critical
21
Section 05: Funnel Attribution

Funnel Attribution

The funnel below shows where the network gains and loses admissions at each stage. The biggest opportunity is not at the top of the funnel. It is in the middle. 3,962 intakes were scheduled. Only 1,862 showed up.

18,200
Inquiries
3,962
Scheduled Intakes
21.8% schedule rate
1,862
Showed
47% intake show rate
890
Admitted
47.8% admission rate

Biggest drop-off: scheduled intake to showed. The intake show rate gap between virtual (38%) and in-person (68%) is the single largest funnel leak.

The Biggest Lever in the Network
Improving the scheduled-to-showed rate by 10 percentage points from 47% to 57% would add approximately 396 additional shown intake appointments per year across the network without spending a single additional dollar on advertising.
Section 06: Intake Show Rate Intelligence

Intake Show Rate Intelligence

Intake show rate is the most controllable variable in the network. Unlike Cost Per Inquiry, which depends on market conditions and ad auction dynamics, intake show rate is driven almost entirely by internal processes: intake coordinator response time, confirmation cadence, and scheduling window. The gaps below are fixable.

Critical: Facility 7

29% intake show rate, 74% above network average CPA. First response time averaging 5.1 hours. After-hours inquiries receiving no response until the following business day. Intake confirmation sequence running 1 message instead of the 3-message cadence used by Facility 1.

Virtual Intake Show Gap

Network-wide virtual intake show rate is 38% vs 68% in-person. Prospective admissions who schedule a virtual intake within 24 hours of inquiry show at 54%. Those scheduled 3+ days out show at 19%. Tighter scheduling windows and same-day availability are the primary levers.

Section 07: Conversion Patterns

Conversion Patterns

ConversionSignal identified 4 statistically significant patterns that separate high-converting facilities from low-converting ones. These are not hypotheses. They are derived from 890 admissions compared against the 17,310 inquiries that did not convert.

First Response Timing

Inquiries contacted within 15 minutes convert at 2.6x the rate of inquiries contacted after 1 hour. Facility 1 averages 9-minute first response. Facility 7 averages 5.1 hours.

Program Inquiry Patterns

Substance use disorder inquiries convert at the highest rate (24%) followed by dual diagnosis (19%). Outpatient-only inquiries have the longest decision cycle (avg 7.2 touchpoints) but steady conversion when nurtured.

Follow-Up Cadence

Optimal follow-up: 3 messages over 48 hours. Facilities using this cadence schedule intakes at 31% vs 16% for single-message follow-up. Facility 1 runs this cadence automatically.

Scheduling Window

Intakes scheduled within 48 hours of first inquiry show at 62%. Intakes scheduled 5+ days out show at 24%. Same-day intake availability is the highest-impact scheduling change available.

What Facility 1 Is Doing That Facility 7 Is Not
Facility 1 contacts new inquiries within 9 minutes on average, runs a 3-message confirmation sequence over 48 hours, schedules intakes within 48 hours of inquiry, and has same-day intake availability. Facility 7 averages 5.1 hours to first response, sends one confirmation message, schedules intakes 3 to 5 days out, and has no after-hours coverage. These are operational differences, not clinical differences.
Platform Recommendation
Conversion Playbook: What Top Facilities Do Differently

The platform analyzed 890 admissions and identified 4 patterns present in 80%+ of successful conversions but absent in 70%+ of lost inquiries.

Pattern 1: Early Discovery Question
Top facilities ask a discovery question within the first 2 messages ("What is going on right now?" or "What are you hoping to find in a program?"). Bottom facilities jump straight to insurance verification. Recommendation: Train all intake coordinators to ask at least one discovery question before discussing logistics.
Pattern 2: Response Speed
92% of converting conversations include a response within 30 minutes of the initial inquiry. Facilities with average response times over 2 hours convert at less than half the network rate. Recommendation: Implement a 30-minute response SLA for all new inquiries during business hours.
Pattern 3: Specific Next Step
Top facilities offer a specific intake time ("We have an opening tomorrow at 10am or Thursday at 2pm, which works for you?"). Bottom facilities say "We will call you back to schedule." Recommendation: Always offer two specific intake time options in the first scheduling message.
Pattern 4: Confirmation Follow-Up
Top facilities send a confirmation message within 1 hour of scheduling AND a reminder 24 hours before the intake appointment. Bottom facilities send neither. Recommendation: Automate confirmation and reminder sequences for all facilities.
Platform Recommendation
The Ad vs. Intake Coordinator Diagnosis: Facility 7

Facility 7 has the highest CPA in the network at $3,200 despite moderate ad spend. Inquiry volume is adequate. Inquiry quality scores are comparable to network average.

Platform Diagnosis
This is NOT an ad problem. The intake conversation analysis shows Facility 7's average response time is 5.1 hours vs the network average of 38 minutes. 64% of inquiries receive their first response outside of business hours with no after-hours coverage. Additionally, Facility 7's intake conversations score 26% lower on empathy and discovery dimensions.
Staffing
Implement after-hours intake response coverage. 64% of this facility's inquiries arrive between 5pm and 9am. Every hour of delay reduces conversion probability by 14%. In behavioral health, urgency is time-sensitive.
Intake Coordinator Coaching
Facility 7's conversations lack discovery questions. Top-performing facilities ask an average of 3.4 discovery questions before discussing insurance or logistics. Facility 7 asks 0.6. Train the team using the Conversion Playbook's discovery sequence.

Do NOT change the ads. The ads are working. The inquiries are qualified. The breakdown is in the intake conversation and response time. Changing creative would mask the real problem.

Section 08: Admission Retention

Average Length of Stay

Average length of stay determines census revenue. A facility with 34-day average length of stay versus 18 days is not a small difference. It is a 1.9x difference in revenue per admission.

Length of Stay Comparison

Facility 134 days
Network Average26 days
Facility 718 days

Facility 1's 34-day average length of stay is driven by: structured weekly check-in cadence with families, proactive care coordination at day 14 and day 21, and transition planning initiated at day 21 instead of at discharge. Facility 7 has no structured retention workflow. Implementing Facility 1's engagement cadence across the network would increase average length of stay by an estimated 4 days.

The Census Revenue Calculation
If the bottom 3 facilities (Facility 7, Facility 8, Facility 6) improved their average length of stay from 19 days to 26 days, still below Facility 1, the estimated additional annual census revenue across those 3 facilities is $1.2M at current admission volume and average daily rates. Facility 1's engagement cadence is documented and replicable across the network.
Section 09: Market Intelligence

Market Intelligence

ConversionSignal monitors competitive activity, ad market conditions, and demographic signals across all facility markets. The 3 alerts below were generated from the past 90 days of illustrative market data.

Alert

Elevated competitor activity detected near Facility 6 and Facility 8 markets

Two new behavioral health facilities opened within 10 miles of these facilities in the past 90 days. Cost per inquiry in these markets has increased 28% in the same period. Recommend creative refresh and program differentiation messaging.

Watch

Insurance verification messaging saturation in Facility 4 market

Google auction CPC for behavioral health insurance keywords has increased 34% in this DMA over 60 days. Current creative leads with insurance verification. Outcome-focused and family-support messaging recommended.

Opportunity

Underserved market identified near Facility 3 with limited program options

Census data shows high need indicators (opioid prescription rates 2.1x national average, limited outpatient options). No residential behavioral health facility within 20 miles. Targeted digital radius campaign recommended.

Platform Recommendation
What the Platform Recommends

Market Divergence: Facility 3 vs Facility 1

Facility 3 runs identical creative to Facility 1. Facility 1 produces inquiries at $82 cost per inquiry. Facility 3 produces at $164. Demographic analysis shows Facility 3's service area indexes 41% higher for families with adolescents and young adults. The current creative uses individual recovery messaging that resonates in Facility 1 but underperforms in Facility 3's family-centric market.

Headline Change
Replace "Take the first step toward recovery" with "Your family does not have to navigate this alone. We are here for all of you."
Ad Copy Direction
Shift from individual-focused recovery messaging to family support and involvement messaging. Emphasize family therapy components, visiting policies, and family education programs.
A/B Test Recommendation
Run the family-support variant against the current variant for 14 days at equal budget split. Expected cost per inquiry reduction: 25 to 35% based on comparable market patterns.
Section 10: Time Intelligence

Time Intelligence

Prospective admissions do not inquire uniformly throughout the week. The heatmap below shows when the highest-converting intake windows occur across the network and where current coverage is not aligned with that demand.

Peak Conversion Windows

Mon
Tue
Wed
Thu
Fri
Sat
Sun
7am
8am
9am
10am
11am
12pm
1pm
2pm
3pm
4pm
5pm
6pm
Peak
Average
Low
5
Coverage Gaps Flagged
14
Bid Adjustments Recommended
Tue 9-11am
Best Network Window
5 Coverage Gaps Costing Scheduled Intakes
The network has 5 identified time windows where inquiry volume is high but intake coordinator coverage is low or absent. Tuesday 9-11am is the single highest-converting window in the network. Three facilities have no scheduled intake coordinator coverage during this window. Shifting one staff hour to cover this window at those 3 facilities is the highest-ROI scheduling change available with no additional headcount required.
Platform Recommendation
Bid Adjustment Recommendations

The network spends ad budget evenly across all hours. But cost per admission varies by 3x depending on the hour of day. Inquiries arriving Tuesday through Thursday between 8am and 11am convert at 2.6x the rate of inquiries arriving after 6pm. However, 36% of total ad spend is allocated to evening and weekend hours where conversion rates drop below 12%.

Increase bids 40%
During Tuesday through Thursday 8am to 11am. This is the highest CPA efficiency window in the network.
Decrease bids 25%
During Saturday and Sunday. Lowest conversion, highest cost per admission.
Decrease bids 30%
During weekday evenings after 7pm. Inquiries arrive but no intake coordinator coverage, resulting in 6+ hour response gaps.
Estimated Annual Impact
Shifting 20% of weekend and evening budget to peak weekday morning windows is projected to reduce network CPA by 18 to 25% with no increase in total spend.

Staffing note: If evening intake coordinator coverage is added at Facilities 6, 7, and 8, the evening bid decrease should be revisited. The low evening conversion rate is a staffing gap, not an inquiry quality issue.

Section 11: Ad Intelligence

Ad Intelligence

Ad spend efficiency varies significantly across facilities running the same campaigns. The table below shows where budget is working and where it is not. The $28,400 recoverable budget waste below requires no additional budget, only a shift in allocation from underperforming to proven campaigns.

FacilityMonthly SpendCPA (Cost Per Admission)Admissions/MoRevenue MultipleEfficiency
Facility 1$14,700$980158.4xOptimal
Facility 2$13,400$1,280106.8xStrong
Facility 3$12,300$1,54085.4xGood
Facility 4$11,600$1,78074.2xAverage
Facility 5$10,900$1,98063.6xAverage
Facility 6$9,900$2,48042.8xUnderperforming
Facility 8$8,200$2,72032.4xUnderperforming
Facility 7$9,600$3,20032.1xCritical

$28,400 recoverable budget waste: Shifting $4,800/month from Facility 7 and Facility 8's lowest-performing campaigns to Facility 1 and Facility 2's proven creative and audiences would add an estimated 4 additional admissions per month at current conversion rates.

Platform Recommendation
Campaign Deployment Recommendations
Immediate Action
Deploy top-performing campaign creative to Facilities 4, 5, and 6. These facilities share demographic overlap with top performer Facility 1. Expected cost per inquiry based on Facility 1 performance and demographic similarity: $72 to $96.

Do NOT deploy to Facility 3 without creative modification. Facility 3's demographics diverge significantly from Facility 1. Deploy the market-intelligence-adjusted variant instead (see Market Divergence prescription above).

Budget Recommendation
Reallocate $2,400 per month from Facility 7's underperforming Brand Awareness campaign (currently producing inquiries at $164 cost per inquiry) to fund the top-performer rollout at Facilities 4, 5, and 6.
Section 12: Sample Report

Sample Facility Report

ConversionSignal generates a monthly intelligence report for each facility. The report summarizes performance trends, flags emerging issues, and provides specific recommended actions. Below is a sample report for Facility 7, the network's highest-priority intervention.

Facility 7, Monthly Intelligence Report

Behavioral Health Network | March 2026

Illustrative Sample
Executive Summary

Facility 7 is the network's highest-cost, lowest-converting facility this period. CPA of $3,200 is 74% above network average. Intake show rate of 29% is 18 points below network average. Three specific operational gaps have been identified as the primary drivers. All three are addressable without additional ad spend.

MetricFacility 7Network AvgGap
CPA (Cost Per Admission)$3,200$1,840+74%
Intake Show Rate29%47%-18pts
First Response Time5.1 hrs38 min-4.5 hrs
Confirmation Messages13-2
Avg Length of Stay18 days26 days-8 days
Revenue Multiple2.1x4.8x-2.7x
Top 3 Recommended Actions
  1. Reduce first response time to under 15 minutes for all new inbound inquiries. Current 5.1-hour average is the single largest driver of the intake show rate gap. Inquiries contacted within 15 minutes convert at 2.6x the rate of inquiries contacted after 1 hour. Recommended: implement after-hours inquiry notification and assign a dedicated first-responder intake coordinator.
  2. Implement a 3-message confirmation sequence over 48 hours for all scheduled intakes. Facility 7 currently sends 1 confirmation. Facility 1's 3-message cadence is correlated with a 42-point intake show rate advantage. Sequence: confirm immediately at scheduling, reminder 24 hours before, reminder 2 hours before.
  3. Move intake scheduling window from 3-5 days out to within 48 hours of inquiry. Prospective admissions scheduled within 24 hours show at 54%. Those scheduled 3+ days out show at 19%. Enable same-day intake slots and prioritize rapid scheduling.

Estimated Impact: Implementing all three recommendations is projected to bring Facility 7's intake show rate from 29% to approximately 52% within 60 days, based on network pattern data. At current scheduling volume and an average program revenue of $18,000 per admission, this represents approximately 28 additional admissions per year and an estimated $504,000 in incremental annual census revenue.

Generated by ConversionSignal

The ConversionSignal Opportunity
Based on 18,200+ illustrative analyzed inquiry conversations, a behavioral health network like this would have three primary census revenue levers that require no additional ad spend: (1) Close the intake show rate gap from 29% to 50% at the bottom facilities, estimated impact: $2.4M in additional annual census revenue. (2) Implement Facility 1's response and confirmation cadence across the bottom 3 facilities, estimated impact: 36 additional admissions per year. (3) Reallocate $28,400 in monthly ad spend from underperforming to proven campaigns, estimated impact: 4 additional admissions per month. Total estimated annual census revenue impact: $3.2M+.
ConversionSignal analyzes customer conversation patterns only. No clinical records, treatment data, or patient health information is ever accessed or stored.
Ask about any facility, metric, or opportunity. Try: "Why is Facility 7 underperforming?" or "What would fixing intake show rate be worth?" or "What should we do first?"