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Web Plateau 2.0 · by PlateauTech.ai

Web Plateau

The Ultimate Intelligence Engine for Customer Experience Excellence

Enterprise user journey analytics — rebuilt on a ClickHouse medallion, with AI that shows its work.

15+Workspace modules
22Proven services
3Data layers · bronze silver gold
1Modern workspace
Use → or space to advance
Why 2.0

22 proven services, one modern surface

Version 2.0 is a ground-up rebuild of the platform's foundation — keeping every analytics capability customers rely on, and re-architecting everything underneath it.

Storage → ClickHouse

One analytical database

Events, sessions and configuration all live in ClickHouse — a bronze/silver/gold medallion plus a versioned config database.

Frontends → App Shell

One workspace

The stitched-together module frontends become a single React workspace — one sidebar, one design system, route-level code splitting, every page a lazy chunk.

Services → Kept & Proxied

Proven logic preserved

The 22 v1 analytics services are kept and proxied — not rewritten — while high-traffic reads are re-implemented natively over silver and gold for speed.

RudderStack ingestion — native ClickHouse destination dbt-tested table shapes & lineage graceful degradation: every read declares its data source
Data Architecture

Bronze, silver, gold. Sub-second by design.

Streaming freshness

Materialized views aggregate on insert, so headline KPIs are current the moment events arrive.

Query-time funnels

Funnels are computed at query time over sessions — change the steps and re-ask, no rebuild required.

Honest fallbacks

Every read carries an explicit data-source header — gold, silver or sample — so a demo never masquerades as production data.

The Workspace

Every module, one sidebar

Analytics
DashboardExplorerDiscovererAnalyzer
Audience
PersonasEngagementAttribution
AI
AI AssistantAI Recommendations
Workspace
Journey DesignerAutomationsData ManagementGovernanceConfigurator

Role-aware, data-driven, and consistent — descriptor-driven configuration screens, shared Zod contracts between client and server, and a design system carried across every page.

Discoverer

Discovery, not dashboards

The platform finds what you didn't think to ask.

  • Path discovery — the journeys users actually take, ranked and quantified.
  • Behavioural pattern mining — recurring sequences with support and lift, not anecdotes.
  • Process flow — a directly-follows graph with severity-graded bottlenecks, rendered as BPMN and Sankey.
  • Anomalies, drop-offs, correlations, trends — plus recent-vs-baseline signals with confidence.
signal checkout_abandon_rate ↑ 31% vs 28-day baseline
where mobile · paid-search sessions
bottleneck address_form → payment (severity: high)
confidence 0.87 · source silver.sessions
Analyzer

From funnels to friction — and traffic you can trust

Funnels

Window-based funnel analysis computed in the database, journey and path analysis, and channel breakdowns.

UX Analysis

Friction points, page performance, navigation analysis and error tracking — the "why" behind the drop-off.

Traffic Quality

Bot scoring, suspicious-session flags and traffic trust tiers keep automated noise out of your conversion numbers.

Engagement

Overview KPIs, heatmaps, cohorts, realtime view, engagement and user scoring, churn-risk — a full engagement suite.

Personas

ML clustering over behaviour builds personas and segments, with per-persona paths and journeys.

Attribution

Attribution modelling marts connect campaigns and channels to the conversions they actually produced.

Journey Designer & Automations

Design the journey you want — measure the one you have

  • Canvas editor with palette, inspector and conditional-logic — model the intended journey visually.
  • Per-journey analytics — Sankey flow, health score, funnel, engagement, step metrics and a session Gantt.
  • Journey comparison — designed vs discovered, side by side.
  • Funnels manager — reusable funnel definitions across the workspace.
  • Automations — scheduled and event-driven rules acting on the analytics surface.
  • Audience sync & messaging — push segments to ad platforms and reach users through email and SMS destinations.
AI Recommendations

AI that shows its work

Every number traceable to a row.

  • Grounded in your goals — declared KPIs, targets, funnel drop-offs and conversion performance feed every prompt.
  • Evidence, cited — each quantitative claim in a recommendation carries its source table and row.
  • Confidence is computed by the platform — never trusted from the model.
  • A measured lifecycle — proposed → accepted → implemented → measured, so impact is verified, not assumed.
recommendation simplify mobile address form
expected impact checkout conversion 3.2% → 3.9%
evidence[1] drop-off address_form 41% · gold.funnel_dropoffs #d-118
evidence[2] friction score 0.74 · gold.ux_friction #f-92
confidence 78 (computed) · owner growth team
AI Assistant

A copilot with guardrails

Streaming conversations grounded in a live business context — discovery summary, top signals, KPI-vs-target and open recommendations.

Curated tools

The copilot answers through read-only analytical tools — KPIs, funnels, signals, patterns, drop-offs and insight search — not free-form database access.

Guarded SQL

When it does query, it's a single SELECT against an allowlist with enforced limits, read-only execution and short timeouts — tested against injection corpora.

Cost under control

Multi-provider models (OpenAI and Anthropic Claude) behind one seam, per-request usage accounting, and an enforced budget gate.

switch the fleet's default model with a config row — no code change RAG over your own insights and a 230-topic taxonomy with built-in owners
Business Goals

Conversion is configuration, not convention

Declared goals

Any event category can be flagged as a business conversion goal — with one designated primary goal per deployment.

KPIs with targets

Declared KPI targets ground the AI layer, so "good" and "behind" are your definitions — not generic best practice.

Consistent everywhere

"Converted" always means the primary goal was achieved — in dashboards, funnels, personas and prompts alike. Per-goal conversion rates are computed query-time.

Grounded in your goals, not generic best practice.

Governance & Privacy

Enterprise governance, first-party telemetry

Governance workspace

Users and roles, compliance frameworks and rules, privacy controls and checks, audit trails, a data dictionary and security assessment — in the product, not a binder.

Secrets sealed

Connector and AI keys are write-only: sealed with authenticated encryption, surfaced only as masked hints, and never selectable at the SQL layer.

Respectful telemetry

Platform telemetry is first-party and dependency-free — no cookies, no third-party trackers, no query strings, and Do-Not-Track honored by default.

Deployment Model

Single-tenant by default, fleet-managed by design

Each customer runs their own frontend, gateway and ClickHouse — full data isolation by architecture. Operators manage the whole fleet from a separate Platform Console that is never in a tenant's serving path.

One-flow onboarding

The console provisions a tenant's entire data lake end-to-end — schema, config corpus, initial users — with a live step timeline.

Synthetic demo data

Deterministic, seeded demo traffic — from 1k to 250k sessions — shaped to the tenant's own event vocabulary and goals, and purgeable to the row.

Pull-based config

Instances pull their resolved configuration outbound with a scoped sync token — the control plane never needs inbound access to customer environments.

Your ClickHouse. Your data. Your telemetry. append-only audit of every operator action

From clickstream to recommendation
— one loop.

Ingest → refine → discover → assess → recommend → act → measure. Web Plateau 2.0 closes the loop between what your customers do and what your team does next.

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