PROBABILISTIC IDENTITY RESOLUTION
v2.4.1-ALPHA
Session IDOPS-INITIALIZING
Grid Coordinates[649, 037]
System Uptime00:00:00
Zulu Time04:56:59Z
OPERATIONAL
IDENTITY_KERNEL_STABLEPROBABILISTIC_GRAPH_V4
IDENTITY RESOLUTION
System Capabilities:
📊 Built for Netflix Ads
81.4% Accuracy
12M Events/Hour
✓ GDPR Compliant
Production Grade
Targeting VectorRESOLUTION_HUB_V4
Signal Integrity98.2% OPTIMAL
DATA FLOW PIPELINE
Processed
45,678
Uptime
1500s
STAGE 1
RAW EVENTS
ACTIVE
TPS:1,250
LATENCY:12ms
STAGE 2
FEATURE EXTRACTOR
ACTIVE
TPS:1,180
LATENCY:24ms
STAGE 3
CLUSTERING ENGINE
PROCESSING
TPS:980
LATENCY:45ms
STAGE 4
ASSIGNMENT OUTPUT
ACTIVE
TPS:975
LATENCY:8ms
Queue Depth
142
Error Rate
0.02%
Avg Latency
22ms
Throughput
975/s
PIPELINE_ID: PIPE-8472-XVERSION: 2.4.1NODES: 4/4 ACTIVE
●ALL SYSTEMS OPERATIONAL
Performance Metrics
P99 Latency
104ms
Target: < 150msPASS
Accuracy
81.4%
Target: > 80%PASS
Throughput
12M/hr
Target: > 10M/hrPASS
Brier Score
0.12
Target: < 0.15PASS
SYSTEM LOG/var/log/tactical_ops
LOGS:0
Waiting for system events...
_
PID: 8616THREADS: 12BUFFER: 100KB
●LIVE FEED ACTIVE
Household Simulator
Speed:
Conversion Rate: 0.0%
SC
Sarah Chen
2 devices
Work Laptop
iPhone
MJ
Marcus Johnson
2 devices
Gaming PC
iPad
ER
Emily Rodriguez
2 devices
Android Phone
MacBook
Live Session Stream
Start simulation to see sessions
Identity Confidence
87%
8%
5%
Sarah87%
Marcus8%
Emily5%
Most Likely: Sarah (87% confidence)
Based on behavioral patterns, device fingerprinting, and historical data
Identity Graph Network
○ PAUSED
Nodes: 9Links: 6Sessions: 0
Legend
Person
Device
Conversion
Session
Static Layout • No Physics • Fixed Positions • Click nodes for details
Attribution Dashboard
Total Revenue
$0
Conversions
0
Avg Order Value
$0
Revenue by Person
Contribution %
Device Performance
What-If Comparison
Account-Level Attribution
Attribution MethodShared Credit
All household members share equal credit for conversions
Wasted Ad Spend
Budget distributed across all 3 personas without precision targeting
$0
Targeted Revenue
RECOMMENDED
Person-Level Attribution
Attribution MethodProbabilistic Match
87% confidence matching to specific individual (Sarah)
Precision Targeting
Ads targeted to specific buyer with personalized messaging
$170
Targeted Revenue
Business Impact
Person-level attribution enables targeted campaigns that drive higher ROI. By identifying Sarah as the primary decision-maker with 87% confidence, marketing spend becomes 3x more efficient compared to account-level approaches.