We design and build analytics dashboards that bring store sales, marketing spend, customer behavior, product performance, and executive KPIs into one clear reporting system — so your team can make faster, smarter growth decisions.
Less time spent preparing manual reports
Dashboard can unify store, ad, email, and CRM data
Real-time or scheduled business performance visibility
Typical timeline for a focused analytics dashboard build
Analytics dashboard development becomes valuable when sales data, marketing spend, customer behavior, and product performance are spread across too many platforms. A custom dashboard gives your team one reliable view of business performance.
We do not build dashboards just to display charts. We build decision systems that connect your store, marketing, customer, and revenue data so your team can understand performance and act faster.
The best analytics dashboard projects usually begin with one high-value decision area: marketing spend, sales performance, product profitability, customer retention, or executive reporting.
Your store sends order, product, customer, refund, and discount data into one dashboard so your team can track revenue performance clearly.
Store data is pulled from Shopify, WooCommerce, Magento, or a custom ecommerce backend
Orders, products, customers, discounts, refunds, and payment data are cleaned and structured
Revenue KPIs are calculated using your business logic
Dashboard displays sales, AOV, product performance, and customer segments
Teams use insights to optimize products, campaigns, and operations
A custom analytics dashboard gives your business a reporting system designed around your exact metrics, data sources, and decision-making process.
Bring store, marketing, product, and customer data into one trusted reporting interface.
Calculate revenue, ROAS, CAC, LTV, MER, refunds, and margin the way your business defines them.
Teams can quickly see what is working, what is declining, and where to take action.
Connect acquisition, purchase behavior, retention, and repeat revenue in one analytics layer.
Shopify, Meta Ads, Google Ads, Klaviyo, GA4, and spreadsheets all provide useful data. But when teams need one accurate business view, a custom analytics dashboard gives better clarity and control.
| What matters | Manual spreadsheets | Platform reports | AnalyticsForge dashboard |
|---|---|---|---|
| Sales visibility | Manual exports | Limited to store data | Unified revenue dashboard |
| Marketing attribution | Hard to reconcile | Channel-specific | Cross-channel performance view |
| Metric definitions | Inconsistent formulas | Tool-defined | Custom business logic |
| Product analytics | Time-consuming | Basic | SKU, category, and margin insights |
| Customer LTV | Difficult to calculate | Limited | Cohort and retention dashboards |
| Executive reporting | Prepared manually | Spread across tools | Real-time leadership dashboard |
| Data trust | Error-prone | Different numbers everywhere | One source of truth |
| Decision speed | Slow to update | Slow and fragmented | Fast, visual, and actionable |
You do not need a perfect data setup before we begin. We help define metrics, map data sources, clean the reporting logic, and design dashboards around the decisions your team needs to make.
Review your store, marketing platforms, data sources, current reports, and business KPIs.
Clarify metric logic for revenue, CAC, ROAS, MER, AOV, LTV, cohorts, margin, and retention.
Integrate store, ad, email, payment, CRM, or spreadsheet data into the analytics layer.
Clean, structure, and transform raw data into reliable reporting tables and metrics.
Create dashboard wireframes, chart hierarchy, filters, views, and user flows.
Develop the dashboard, data pipelines, visualizations, filters, and role-based views.
Refine KPIs, optimize performance, add new dashboards, and expand data coverage over time.
Replace these sample outcomes with real client results, dashboard screenshots, or analytics case studies once available.
The team needed one view of orders, revenue, refunds, discounts, and product sales. We built a custom dashboard that replaced manual weekly reporting.
Growth team needed to compare spend, ROAS, CAC, and channel performance across Meta, Google, and email. We built a dashboard that connected spend to store revenue.
A store wanted to understand repeat purchases, retention, cohorts, and customer quality. We built LTV and cohort dashboards based on purchase behavior.
Clear answers so you know what to expect before creating a custom ecommerce analytics or business intelligence dashboard.
Book a free analytics review. We'll look at your store, marketing channels, current reports, and business goals — then recommend the most practical dashboard to build first.
