Behavior is not random.

It is structured, but not yet understood.

CLICKS
8.2M
DROP-OFFS
412K
PURCHASES
62.1K
CHURN
4,201
EVENT STREAM · LIVEINGESTING
07:32:09.925DROP-OFFu_38z8es · session#0000.63σ
07:32:09.925SCROLLu_mmddz0 · session#0010.45σ
07:32:09.925SCROLLu_7r7x6t · session#0020.56σ
07:32:09.925CHURNu_zp51di · session#0030.19σ
07:32:09.925EXITu_febukv · session#0040.69σ
07:32:09.925EXITu_lfwtx6 · session#0050.41σ
07:32:09.925SCROLLu_a3txay · session#0060.45σ
07:32:09.925EXITu_ypaolv · session#0070.55σ
07:32:09.925CHURNu_zofv7h · session#0080.26σ
07:32:09.925HOVERu_ah4nyp · session#0090.57σ
07:32:09.925DROP-OFFu_22bg69 · session#0100.59σ
07:32:09.925CLICKu_fvt4i2 · session#0110.33σ
07:32:09.925EXITu_vqwb4v · session#0121.29σ
07:32:09.925EXITu_box10q · session#0130.66σ

Fragmented signals,
reconstructed into
real journeys.

The Journey Reconstruction Engine assembles individual paths from raw events, merges them into clusters, and resolves clusters into behavioral archetypes — without sampling, without aggregation, without losing the individual.

LANDINGSEARCHADAPPEMAILREFERRALBROWSE-INTENTn = 9,494COMPARISON-LOOPn = 4,313CONVERT-READYn = 7,402EXIT-RISKn = 2,133
RECONSTRUCTION STATE12.0%
fragments1.42M
paths84,201
clusters12
archetypes6
SYSTEM OUTPUTS
Behavioral Segments
6 archetypes
Intent Patterns
23 inferred
Friction Points
11 hotspots
Conversion Triggers
9 detected

Analytics shows what happened.
Sentio explains
why.

Every observation resolves into a behavioral pattern with a causal mechanism — not a metric, not a trend, not a "suggested action".

Inferences are generated by the system, not authored.

INFERENCE · 001CONFIDENCE 94%
OBSERVATION

Users churn 48h after pricing page exposure

resolves to
VALUE-MISMATCH PERCEPTION

Anchored on competitor pricing accessed in prior session. Perceived value gap exceeds tolerance threshold (Δ=0.42).

n = 4,201
INFERENCE · 002CONFIDENCE 88%
OBSERVATION

High engagement, low conversion in 'Plus' tier

resolves to
DECISION-ANXIETY CLUSTER

Feature parity across 3 tiers triggers paralysis. Hover-time on comparison row exceeds 14s in 72% of sessions.

n = 9,118
INFERENCE · 003CONFIDENCE 91%
OBSERVATION

Repeated visits without purchase, 5–9 day cycles

resolves to
COMPARISON-PARALYSIS PATTERN

Cross-referencing 2–3 alternatives. Decision held in suspended evaluation until external validation signal arrives.

n = 12,604
INFERENCE · 004CONFIDENCE 86%
OBSERVATION

Onboarding completion drops at step 3

resolves to
COGNITIVE OVERLOAD VECTOR

Working-memory load spikes from 3.2 → 7.4 units. Field density exceeds processing budget for primary archetype.

n = 2,847

A cognitive system,
not a dashboard.

MOD/01

Behavioral Signal Engine

Ingests raw events across web, app, product, support, payment and offline touchpoints. No sampling.

1.42M signals/sONLINE
MOD/02

Journey Reconstruction System

Rebuilds continuous user journeys from fragmented sessions and cross-device identity.

84,201 paths activeONLINE
MOD/03

Intent Inference Model

Infers cognitive intent and motivation behind action sequences using latent behavioral structure.

23 intent classesONLINE
MOD/04

Friction Detection Layer

Localizes friction at the micro-interaction level and attributes it to cognitive cause.

11 hotspots resolvedONLINE
MOD/05

Conversion Driver Engine

Isolates the behavioral triggers that move users from intent to commitment.

9 drivers detectedONLINE
MOD/06

Churn Causality Mapper

Traces churn back to its originating perception event, not its terminal action.

ΔT-pred: 48hONLINE

Run a behavioral
diagnosis on your
surface.

Sentio simulates a partial diagnostic on your live property — friction localization, churn projection, and conversion optimization potential. Full inference report unlocked on access.

INPUT / TARGET SURFACE
Website URL
Business Type
Monthly Traffic

Est. 10–15s · partial output

DIAGNOSTIC OUTPUT · STREAMIDLE
01 · Ingesting behavioral signals
02 · Mapping user journeys
03 · Detecting behavioral clusters
04 · Inferring intent patterns
05 · Identifying conversion friction points
// awaiting input — system idle
Friction Score
/100
Complexity Index
σ
Churn Risk
Optimization Potential

Outcomes, not
testimonials.

FINTECHCS-014

Onboarding friction resolved at cognitive layer

Identified working-memory overload at KYC step 3; restructured field grouping.

Churn %
PRE
18.4
POST
9.2
Conversion %
PRE
2.1
POST
3.8
Retention Accuracy
PRE
64
POST
81
churn
-50%
conv
+81%
retention
+17pts
E-COMMERCECS-027

Comparison-paralysis cluster converted

Detected 12,604 users in suspended evaluation; deployed cohort-specific commit trigger.

Churn %
PRE
22.1
POST
14.8
Conversion %
PRE
1.4
POST
2.9
Retention Accuracy
PRE
41
POST
58
churn
-33%
conv
+107%
retention
+17pts
SAASCS-041

Pricing-page value mismatch repaired

Causally traced 4,201 churn events to pricing exposure; recalibrated tier framing.

Churn %
PRE
8.6
POST
4.1
Conversion %
PRE
4.1
POST
6.7
Retention Accuracy
PRE
72
POST
89
churn
-52%
conv
+63%
retention
+17pts

Customers do not behave
randomly. They follow
hidden structures.

Sentio reveals the structure behind every action.

DEPLOYED WITH

Enterprise, SaaS, e-commerce, fintech, subscription, and consumer-scale product teams.

SYSTEM

Sentio Customer Behavior Intelligence System · behavioral explanation infrastructure.

ACCESS

Distributed under operator agreement. access@sentiohq.net

SENTIO© 2026 · ALL OBSERVATIONS RESERVED