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03 · Referral Performance

Shows closed-loop referral performance in one operating view: source, handoff, partner response, outcome, and attributable commercial impact.

Evidence: Live measured Modeled projection Illustrative demo
Baseline: prior comparable period. Satisfaction views use closed matters with survey responses.
Total Referrals
4,860
+46% vs prior period
Engagement Rate
82%
+11pp
Referral Revenue
$1.24M
+58%
Avg Satisfaction (NPS)
8.7
+0.7
Avg Resolution
39 days
-21%
Referral Pipeline 320 active
Sent
3
Criminal
Maria Nguyen
→ Smith & Associates
2h ago
Family
David Park
→ Watts McCray
5h ago
Immigration
Ahmed Hassan
→ Fragomen
1d ago
Acknowledged
2
Criminal
Tom Williams
→ Stary Norton Halphen
1d
Property
Li Wei
→ Maddocks
2d
Contacted
3
Family
Priya Sharma
→ Watts McCray
3d
Criminal
James Mitchell
→ Smith & Associates
5d
Immigration
Fatima Al-Rashid
→ Fragomen
4d
Engaged
2
Criminal
Sarah Chen
→ Smith & Associates
12d
Family
Michael Costa
→ Watts McCray
18d
Resolved
3
Criminal
Jenny Tran
→ Stary Norton Halphen
38 days
$0 (acquitted)
Family
Robert Zhang
→ Watts McCray
52 days
Mediated
Closed
1
Immigration
Anna Kowalski
→ Fragomen
67 days total
NPS: 9/10

Partner Scorecards

Partner Score Referrals Engagement Revenue Trend
SA
Smith & Associates
Criminal Defence
★★★★★
4.8
1,750
84%
$420K +18%
WM
Watts McCray
Family Law
★★★★
4.5
1,300
79%
$320K +14%
FR
Fragomen
Immigration
★★★★
4.3
880
76%
$220K +27%
SN
Stary Norton Halphen
Criminal Defence
★★★★
4.1
620
74%
$160K +9%

Referral Revenue (Monthly)

$74K
Sep
$88K
Oct
$96K
Nov
$92K
Dec
$104K
Jan
$116K
Feb
$121K
Mar
$131K
Apr
$143K
May
$155K
Jun
$170K — Current
Jul

Outcomes by Type

Closed matters (n=1,240) · Last 12 months
Settlement
42%
Mediated
28%
Court Award
14%
Withdrawn
10%
No Merit
6%

Client Satisfaction Distribution

Survey responses (n=2,840) · Response rate 83%
8.7
Average NPS across all referrals
9-10
52%
7-8
31%
5-6
12%
1-4
5%
Technical Architecture

How closed-loop referral tracking works

The challenge is not just making referrals — it's knowing what happened after handoff. Did the client engage? Were they satisfied? What was the outcome? The infrastructure below enables this across a network of legal service providers.

01
Handoff with attribution ID
When the intake operating system determines a matter is out of scope, it generates a unique referralId and posts a structured handoff payload to the vetted partner via webhook: matter type, jurisdiction, urgency score, and client consent token. The handoff is timestamped and logged against the originating conversation.
02
Partner outcome callbacks
As the matter progresses, the partner's system POSTs outcome events back to MB's webhook endpoint: client.engagedmatter.openedmatter.closed, each with a structured payload (outcome type, date, optional settlement value). Partners without API capability can use an email-triggered link or a simple partner portal form.
03
Independent satisfaction layer
At matter close, MB — not the partner — triggers a satisfaction survey to the client, using the referralId to attribute the response. This keeps the NPS signal independent of the partner relationship and attributable back to the referral source, pathway, and originating intake channel.
04
Attribution dashboard
All outcome events flow into the operating dashboard you're viewing now. Revenue, engagement rate, satisfaction, and outcome type are attributed to the originating referral source, partner, and matter type. This is the "closed loop" — the source of the data above.
Client challenge addressed: "We're interested in infrastructure that enables this kind of closed-loop tracking across a network of legal service providers." — MB Product brief. This is that infrastructure.
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