CleanMetrics.io - Presentation Demo | Romanov

Demo for potential prospect client in the Laundromat software business. Unified analytics, marketing attribution, and customer lifecycle tracking for multi-store laundromat portfolios. From ad click to in-store repeat visit -- see everything.

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Project Overview

CleanMetrics.io was conceived as a strategic analytics prototype to demonstrate how laundromat operators can finally see everything that matters — from marketing performance to customer retention at both store and portfolio levels.

Instead of siloed data — where ad clicks, POS sales, loyalty behavior, and visit patterns live in separate systems — CleanMetrics brings them together. The platform reveals not only what customers did, but how and when they did it: from first touch through repeat visits, average revenue per customer, and long-term lifetime value.

This demo was created to position a next-generation SaaS solution for multi-location laundromat businesses — a space that increasingly demands actionable data intelligence without complexity.

My Role

Lead Product Strategist, Architect & Prototype Developer

Defined product vision for unified analytics tailored to laundromat portfolios
Built data aggregation and attribution logic
Designed dashboard layouts and visualizations
Implemented core front-end analytics interface
Structured lifecycle metric pipelines and customer journey flows
Created a compelling demo narrative for potential client engagement

The Problem

Laundromat owners and operators face significant intelligence blind spots:

Marketing channels are tracked separately from sales systems
Ad performance metrics don’t connect to real customer value
Repeat visit patterns and customer retention are hard to quantify
Store performance is often evaluated without longitudinal insight
Data sits in silos (POS, ad platforms, loyalty platforms, foot traffic counters)
No unified view of customer acquisition → retention → revenue

This makes it extremely difficult to answer core business questions like:

Which ad campaign actually drove paying repeat customers?
How long until a new customer becomes a loyal one?
Which locations have better customer lifetime value?
Are promotions driving customers who return?

Without a unified analytics platform, decision-makers guess — instead of optimize.

My Solution

I built CleanMetrics.io as a demo prototype that bridges these gaps by unifying disparate data flows into a coherent, actionable analytics experience tailored for multi-store laundromat portfolios:

Defined end-to-end customer journey tracking — from ad click to store visit and repeat action
Architected a multi-store data model that allows aggregated and per-location insight
Designed marketing attribution logic that ties revenue back to first touch and channel performance
Built lifecycle tracking metrics showing repeat visit trends, retention curves, and LTV
Created an intuitive dashboard with visualization components showing insights at a glance
Delivered contextual filter controls to segment by location, campaign, date range, and customer cohort

The platform was built not as a generic analytics tool, but as an industry-specific intelligence system providing immediate operational value to laundromat owners and operators.

Customer Intelligence

Unified profiles with identity resolution across card systems and locations. Full lifecycle and transaction history.

Portfolio Dashboard

Aggregated KPIs, revenue trends, customer segments, and store performance across all locations at a glance.

Store-Level Analytics

Drill into any location. Daily revenue, transaction trends, segment composition, and a live activity feed.

Marketing Attribution

Full-funnel tracking from ad click to in-store repeat visit. True CAC, ROAS, and channel-level drill-down.

Customer Segmentation

Five lifecycle stages -- New, Recurring, Occasional, At-Risk, Lost -- with trends and movement tracking.

Achievement Metrics

Unified disparate data sources into a coherent journey view
Showcased true attribution for marketing spend across channels
Visualized customer retention and repeat visit patterns over time
Delivered dashboard analytics for both aggregated portfolio level and single store insight
Demonstrated actionable KPIs like lifetime value (LTV), churn rate, and conversion back to spend
Enabled operators to see which marketing dollars actually translate into repeat revenue

This demo transformed what had been disconnected metrics into a single source of truth — helping business leaders see beyond vanity metrics toward real operational impact.

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