eCommerce Data Analytics

Can you tell me, right now, which marketing channel generated the most profit last month? Not revenue. Profit.

You have Google Analytics. You have Klaviyo reports. You have your Meta Ads dashboard. You have Shopify analytics. And every single one of them shows different numbers. Google says one thing. Meta says another. Klaviyo takes credit for half your revenue. And when you try to reconcile everything, the numbers do not add up. You are flying blind with a dozen dashboards.

The problem is not lack of data. You are drowning in data. The problem is nobody has connected it into a single source of truth. Attribution is broken because every platform overclaims. Customer acquisition cost looks different depending on which tool you check. LTV is a number somebody calculated once in a spreadsheet that has not been updated in a year. And nobody can answer the most basic question: which marketing dollars are generating profit and which ones are generating vanity metrics?

We set up eCommerce analytics that answer the questions that actually matter. Real attribution modeling that reconciles data across platforms. Customer cohort analysis that shows LTV by acquisition source. Channel profitability reports that account for all costs, not just ad spend. And dashboards that your team can actually use to make decisions every week.

Get Your Analytics Audit Report15 min. No pitch deck.

150+

Brands Served

$23M+

Revenue Driven

3-5x

Data Sources Connected

30%

Avg. Waste Identified

Your analytics are broken if you cannot answer these

  • What is our true blended CAC across all channels including organic?
  • Which acquisition channel has the highest customer LTV at 12 months?
  • What is our real ROAS after accounting for returns, COGS, and shipping?
  • Which products drive the most profitable repeat purchases?
  • Where should we move budget from and to right now to maximize profit?

If you cannot answer those questions in under 5 minutes, your analytics need work. That is what we fix.

What we do for Global brands

Attribution modeling

Multi-touch attribution that reconciles Google, Meta, Klaviyo, and Shopify data. Know what each channel actually drives versus what it claims.

Customer analytics

Cohort analysis, LTV by acquisition source, repeat purchase rates, and churn prediction. Understand your customers at a mathematical level.

Channel profitability

True channel P&L that accounts for COGS, shipping, returns, and all costs. Revenue is vanity. Profit is sanity.

Decision-ready dashboards

Weekly reporting dashboards your team can actually use. Not 50 metrics. The 8-10 metrics that drive decisions.

Like what you see?

Let's talk about your brand.

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How we work

Step 01

Analytics audit

Review your current tracking, reporting, and data quality across all platforms. Identify gaps and misconfigurations.

Step 02

Infrastructure setup

Tracking fixes, data connections, attribution modeling, and dashboard creation. The foundation for accurate data.

Step 03

Report delivery

Comprehensive analytics report with insights, anomalies, and specific recommendations based on what the data reveals.

Step 04

Ongoing analysis

Monthly analytics reviews, budget recommendations, and opportunity identification. Data without action is just decoration.

Why Global brands trust us

We have set up analytics infrastructure for 150+ eCommerce brands. Our analytics work consistently identifies 20-30% of marketing budget that can be reallocated for better returns.

Questions our best clients asked first

See where your marketing money is really going

Get an analytics audit report that identifies tracking gaps, attribution issues, and budget opportunities. Know exactly where to spend and where to cut.

Pick a Time

15 minutes. No pitch deck. Just your data and our honest take.

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