OUR COMPLETE ANALYTICS ENGINE. BUILT ONCE, RUNS FOREVER.

We examine your last 90 days of revenue data, identifying growth trends, unexpected spikes or drops, and your top 10 performing products. You'll know exactly which direction your revenue is moving and why.

We map every step of your customer journey, from landing on your site to completing a purchase, and pinpoint exactly where visitors are dropping off. We compare mobile vs. desktop performance and identify your single biggest conversion leak.

Using a simplified RFM framework, we identify your top 20% most valuable customers, flag those at risk of leaving, and give you a prioritized list of who needs your attention right now.

Revenue is vanity, profit is sanity. We calculate the gross margin on your top 5 products and flag any that look like winners on the surface but are quietly draining your profit.

We segment your entire customer base into 8 actionable groups: Champions, Loyal, Potential Loyalists, At-Risk, Hibernating, Lost, New, and Promising. Each segment receives a specific marketing strategy tailored to their behavior.

We calculate each customer's lifetime value from their purchase history, then compare customers across acquisition cohorts and marketing channels. You'll see who generates the most value, which channels perform best, and how quickly acquisition costs pay back.

We bring all your marketing channels into one view: Facebook, Google, Email, Organic, Direct, and calculate the true cost and true return of each. No more ROAS numbers that look good but hide the real profit picture.

Using market basket analysis, we identify which products your customers buy together most frequently, which products are most often purchased after a specific item, and where your best bundling opportunities lie.

We identify customers showing strong signs that they may leave your brand based on their purchase and engagement behavior, so you can reach them before they become inactive.

Data Analyzed: 12-24 months of customer acquisition data.
Key Insights: We track every monthly group of customers acquired and measure how each cohort behaves over time: retention, revenue contribution, purchase frequency, and LTV progression.

Data Analyzed: Historical sales velocity, seasonality, SKU-level demand.
Key Insights: We build a data-driven revenue forecast for the next 90 days, including SKU-level demand projections for your top 20 products, seasonal adjustments, and three scenarios: best case, expected, and conservative.

Data Analyzed: COGS, returns, shipping, ad spend per product.
Key Insights: We calculate the true profit on every product, after deducting all costs. We then map profitability by customer segment and marketing channel to reveal where your real money is being made.

Data Analyzed: Historical promo codes, discount usage, margin erosion.
Key Insights: We analyze the true impact of every promotion you've run, measuring revenue lift against margin erosion and new customer acquisition. We calculate your optimal discount thresholds and build a Q4 promotional calendar with profit projections.

Data Analyzed: Return rates by product, category, supplier, and reason.
Key Insights: We analyze return rates by product, category, and supplier, and calculate the true financial cost of returns including shipping, restocking, and lost margin. We then identify the specific fixes (product descriptions, sizing guides, quality improvements) that will reduce your return rate.