An ecommerce analytics dashboard that shows you which products, channels, and customers are actually making you money.
We build ecommerce analytics dashboards for DTC brands and multi-channel retailers — contribution margin by product, cohort LTV, inventory health, channel attribution, and the profitability view that Shopify analytics doesn't give you. Fixed scope, fixed price.
Shopify tells you revenue. Google Analytics tells you traffic. Meta Ads Manager tells you ROAS. None of them tell you net contribution margin by product, which customer cohorts are profitable after 90 days, or which SKUs are dragging down your average margin.
Ecommerce brands spend enormous energy optimising for the metrics the platforms surface: ROAS, conversion rate, revenue. Those metrics are necessary but not sufficient for running a profitable ecommerce business. The metrics that actually determine profitability — contribution margin per order after ad spend, COGS, fulfilment, and returns; customer cohort LTV at 30, 60, and 90 days; inventory carrying cost by SKU — require combining data from multiple sources that don't share data natively.
Shopify has revenue and order data. The ad platforms (Meta, Google, TikTok) have spend and attribution data. The 3PL has fulfilment cost data. The supplier has COGS data. Returns and exchanges sit in Return Logic, Loop, or AfterShip. Combining those five data sources into a margin-accurate, LTV-accurate view of the business is a data pipeline and analytics project that most ecommerce brands defer until they've scaled to a point where the lack of visibility is causing expensive mistakes.
The expensive mistakes tend to be specific: scaling ad spend on a product that looks profitable by ROAS but is unprofitable after fulfilment cost; running out of a high-velocity SKU because inventory planning was based on eyeballing Shopify rather than a systematic reorder analysis; retaining customers through discount promotions that mathematically make the second purchase worse than the first.
An ecommerce profitability dashboard that shows contribution margin by product and channel, customer cohort LTV, inventory turnover by SKU, and the unit economics that determine whether you're scaling a profitable business or scaling a loss.
Contribution margin by product
Revenue minus COGS (from purchase orders or supplier data), minus fulfilment cost (from 3PL or Shopify fulfilment), minus platform fees, minus ad spend attributed to that product (from ad platform data). Net contribution margin per unit and as a percentage of revenue per SKU. Ranked view — which products are most and least profitable.
Customer cohort LTV
Customers grouped by acquisition month and acquisition channel. Revenue per cohort at 30, 60, 90, and 180 days post-acquisition. Repeat purchase rate per cohort. CAC payback period by channel and acquisition cohort. Identifies which channels acquire customers who actually return.
Inventory health dashboard
Current inventory by SKU with days of supply at current sell rate. Reorder point alerts based on lead time and minimum order quantity. Slow-moving SKU flag (high days of supply vs. category average). Stockout risk ranking.
Channel attribution and blended ROAS
Ad spend and attributed revenue per channel (Meta, Google, TikTok, email, organic). Blended ROAS across all paid channels. New customer acquisition cost by channel. Channel performance trend over rolling 30-day windows.
Returns analysis
Return rate by SKU, return reason by SKU, net revenue after returns by product. Identifies products with high gross revenue but poor net revenue due to returns. Built on Next.js, Recharts, Postgres analytical schema, Shopify Admin API, Meta/Google Ads API, and 3PL data integrations.
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
An ecommerce profitability dashboard that shows contribution margin by product and channel, customer cohort LTV, inventory turnover by SKU, and the unit economics that determine whether you're scaling a profitable business or scaling a loss.
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Ecommerce brands scaling into 7 and 8 figures need profitability visibility before they make their next ad spend increase or inventory purchase commitment. A dashboard that answers the unit economics questions with a defined cost is a decision that pays for itself in prevented mistakes. Fixed scope, fixed price.
Questions, answered.
Multi-product ad attribution uses a combination of campaign-level targeting data (which product collection or SKU the campaign was optimised for) and order-level UTM parameters. Perfect attribution is impossible — we use a pragmatic approach that allocates spend at the campaign or ad set level to the product group and surfaces confidence level alongside the attribution.
Subscription products require LTV modeling that accounts for recurring revenue — the contribution margin calculation includes subscription revenue across the active subscription period. We design the subscription LTV model during discovery based on your subscription mechanics (fixed term, cancel-any-time, etc.).
Shopify order data refreshes via webhook (near-real-time for new orders). Ad platform spend data refreshes daily via Marketing API (Meta and Google APIs have a daily data delay for cost data). 3PL fulfilment cost data refreshes on whatever feed frequency your 3PL provides. Inventory data refreshes daily.
Contribution margin analysis, cohort LTV, inventory health, and channel attribution typically runs $30k–$60k. Multi-channel ad API integrations and subscription LTV modeling add scope. Fixed-price.
8 to 12 weeks for a production ecommerce analytics dashboard with margin and LTV visibility.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.