Data Solution

Data Analytics & Actionable Insights

Unified Business Intelligence Platforms

From fragmented databases to a single, real-time source of truth

Looker Studio Unified Data Analytics Dashboard Mockup
Focus Area
Data Integration & BI
Pipelines
ETL · Automated SQL queries
Dashboard Tech
Looker Studio · Custom React panels
Tracking
Segment · PostHog · GA4 API
Setup Time
3-5 weeks onboarding

100%

Attribution & Traffic Visibility

If you don't trust your tracking, you can't trust your decisions. Fragmented data across different marketing channels makes it easy to waste capital on ads that don't convert.

Our Data Analytics platforms unify your ingestion loops, clean transaction logs, and format Looker Studio dashboards to update every hour.

Know exactly which channel drives margin, and scale your spend with total certainty.

ETL Integration Looker Studio Dashboards Behavioral Mapping Attribution Modeling Cohort Retention Analytics
ETL Integration Looker Studio Dashboards Behavioral Mapping Attribution Modeling Cohort Retention Analytics
System Blueprint

ETL Pipeline Architecture

How raw transactional logs are fetched, normalized, and unified into Looker panels:

1. Raw API Fetch

Daily/Hourly CRON scripts trigger REST requests to fetch transaction logs, cost variables, and logs.

Shopify Sync Stripe Ledger GA4 Analytics

2. Cleansing & Indexing

Database cleanses transaction IDs, maps first-touch dynamic tags, and updates cohort indices.

Postgres Core Attribution Match LTV Modeler

3. Looker BI View

Renders clean interactive metrics, CAC updates, spend filters, and conversion funnel graphs.

Attribution Panel Looker Dashboards Hourly Refresh
Data Metrics

100%

Visibility across cross-channel attribution

+28%

Marketing ROI uplift from data optimization

-45%

Reduction in time required to generate reports

Hourly

Data synchronization rate of financial pipelines

01 — Context

The Data Silo Dilemma

Most scaleups operate with siloed information. Google Analytics lists one purchase total, Shopify shows another, and Stripe reports a third. This leads to reporting clashes and makes it difficult to calculate true LTV or CAC.

Marketing spends ad capital on campaigns that show high click counts but fail to generate long-term customer value. Without cohort retention analytics, this waste remains hidden.

Compiling weekly spreadsheets manually is slow, prone to errors, and stops executives from taking fast actions.

"Data is only valuable if it drives actions. Siloed metrics generate reports; unified data generates revenue."

We solve three main analytical friction points:

Siloed database systems
Incorrect attribution metrics
Manual dashboard updates
02 — Strategy

The Analytics Framework

We build unified pipelines that pull, cleanse, and structure your logs automatically. No more manual exports.

Repurchase Cohort Retention Grid

Cohort Users Month 1 Month 2 Month 3
Jan 2026 12,450 100% 45.2% 38.4%
Feb 2026 14,100 100% 41.8% 29.1%
Mar 2026 15,800 100% 44.6% 32.8%

01. Unify Data Pipelines

We connect APIs to a central warehouse node to build unified dashboards that update on a schedule.

Key Architecture Components

  • Automated ETL Loops: Sync Shopify, Stripe, Google Ads, and CRM data into one SQL database automatically.
  • Attribution Modeling: First-touch, last-touch, and linear models to find what actually drives transactions.
  • Hourly Looker Panels: High-impact Looker Studio dashboards tailored for your executive team.
  • Custom Cohort Retention: Track customer lifetime value (LTV) and repurchase rates month-over-month.
03 — Execution

Building the Ingestion Nodes

Reliable Ingestion Pipelines

We write secure connector nodes that ingest raw event data, format dates and currency, and resolve duplicate IDs:

Event Ingest De-duplication SQL Normalization Dashboard Refresh

Every click, cart addition, and purchase updates the data warehouse, so you see real-time performance on your monitor.

Cohort Analytics

Tracks customer repurchase rates over 30, 60, and 90-day periods.

Attribution Matching

Resolves first-touch click data with bottom-of-funnel Stripe checkout details.

Custom BI Dashboards

We compile custom Looker Studio dashboards tailored around your specific team KPIs. Instead of loading dozens of generic charts, we design focused dashboards that highlight exactly where your budget is performing.

  • Unified customer acquisition cost (CAC) tracking
  • Real-time ROAS metrics calculated across Facebook & Google
  • REP productivity metrics and sales speed tracker
  • Cohort LTV modeling to guide long-term acquisition spend

The goal is: making metrics clear, reliable, and actionable.

Workflow Comparison

Centralizing Database Control

Siloed Analytics Legacy Method
  1. Managers log into Facebook Ads, Google Ads, and CRM separately
  2. Manually export CSV spreadsheets (every Friday)
  3. Align data columns, fix typos, check calculations manually
  4. Deliver static report to executive board, hope data is accurate

Time Spent: 6-8 Hours every week. Guesswork on attribution.

Centralized Engine Modern Method
  1. Ingestion scripts pull event data via Webhooks automatically
  2. Central database cleanses logs and merges user sessions
  3. SQL scripts match ad cost to Stripe transaction IDs
  4. Looker Studio dashboard updates hourly for total visibility

Time Spent: 0 Hours manual updates. Accurate multi-touch attribution.

Data Outcome

Database Optimization Impact

Below are performance metrics tracked across enterprise accounts post analytics integration:

Analytical Metric Before Integration After Integration Performance Change
Attribution Match Rate 62% (Estimated) 98.4% (Verified) +58.7% Visibility
Reporting Time Lag 7 Days (Weekly batch) Hourly refreshing Real-time decisions
Monthly Reporting Labor 24-32 Hours 0 Hours (Automated Looker) 100% Labor Saved
Data Discrepancy Rate 12.5% (Average) < 0.5% (API validated) Clean Audit Logs

Financial Impact Example

+$124,000

Reallocated from failing campaigns using attribution insights

Unified attribution data showed that one of the client's high-budget ad campaigns was generating leads that bounced immediately without repurchasing.

We reallocated that budget to a lower-cost search campaign showing high customer lifetime value, boosting overall margins immediately.

Make ad decisions based on verified ROI, not click volumes.

The Core Wins of Unified Analytics

Clean data pipelines provide security and clarity across your corporate operations:

01.

Reliable Performance Metrics

Every purchase ID is cross-checked to guarantee 100% report reliability.

02.

Instant Decision Making

Review campaign metrics every hour and adjust ad budgets based on live trends.

03.

Cohort Repurchase Tracking

Uncover customer lifetime value trends to guide your growth investments.

Data Perspective
"RedRuby integrated our Shopify, Stripe, and ad channel databases into one Looker panel. We now track CAC and repurchasing cohorts hourly, saving us days of manual spreadsheet formatting every month."

Financial Director

Elevate Academy

Ready to Centralize Your Data?

We will audit your data architecture and build automated pipelines to give you complete visibility into your margins.

Get A Data Ingestion Audit
  • Hourly Ingestion pipelines
  • Looker Studio Setup & Custom Panels
  • Cohort repurchase tracker
  • API Credential Audits & Access Setup
Expert Q&A

Frequently Asked Questions

How does RedRuby build custom data analytics platforms?

We develop unified analytics platforms by configuring cloud ETL pipelines to BigQuery, consolidating disparate database models, and building interactive, clean Looker Studio panels showing complete customer LTV maps.

What are the benefits of unified attribution dashboards?

Unified dashboards map the entire B2B or patient journey by linking marketing spends directly with client actions, indicating exactly which channels are driving profitable outcomes.

Can database solutions connect with Google Analytics 4 (GA4) and Looker Studio?

Yes, our integrations link GA4 stream data with backend SQL tables using safe API connectors, giving you real-time visibility into attribution, cohorts, and customer repeat purchases.

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