How a Head of eCommerce uses ProfitPeak

A Head of eCommerce sits right between data, strategy, and execution, so no doubt, your day-to-day is very data-driven. ProfitPeak was designed to make data-driven decision making simple. Our dashboards, along with Sherpa AI will extract insights and help you to take confident action with AI recommendations in real time.

📊 Sales & Profit Performance on The Peak

• The Peak will assist you in tracking daily sales, AOV, profit and comparing against targets.

• Monitoring gross vs. net sales, to understand the impact of returns, discounts and margins.

• Keeping an eye on profitability by channel.

• Sherpa AI can help you understand and diagnose why any key metrics are either positive or negative.

👥 Customer & Behaviour Data on the Customer Lifetime Value and Retention Analytics 

• Analysing repeat purchase rates and retention cohort.

• Checking customer acquisition cost (CAC) vs. lifetime value (LTV).

• What are the brand, category, collection or products that drive LTV for the lowest CAC.
• What are the marketing channels that drive the highest LTV for the lowest CAC
• Know if customers bought this product, what are they likely to come back to buy next
• Where you have opportunities to increase retention by stopping drop off between orders

📈 Marketing & Traffic Insights on the Attribution Vertex 

• Reading channel performance reports (Google Ads, Meta, TikTok, email,  social, affiliates).

• Tracking ROAS/PROAS and monitoring budget pacing.

• Spotting trends in source traffic (organic vs. paid, new vs. returning visitors).

• Reviewing email/SMS campaign performance (open rates, click-through, revenue contribution).

• Diagnosing creative fatigue and which ads are showing signs of diminishing returns.
• Finding the channels, campaigns, ads and ad sets really driving new customer acquisiton. 
• Understanding product demand and balancing this with margins and SOH whether it be from paid, CRM or organic channels. 

📦 Trading & Merchandising Data on the Product Intelligence 

• Looking at sell-through rates by product/collection.

• Tracking inventory velocity (what’s moving fast, what’s ageing).

• Monitoring markdown performance and margin impacts.

• Ensuring availability of hero SKUs that drive the bulk of revenue and profit.

• Identifying underperforming products fast so that you can convert into cash sooner with less margin impact.
• Clearly understand you new customer acquisition products and which products your returning customers are buying.
• Understand size curve demand on a product/collection/category basis.

🧠 Strategic & Leadership Focus from your Sherpa AI Monday Emails 

• Using data to adjust forecasts and trading plans.

• Feeding insights into marketing, product and finance teams.

• Identifying new growth opportunities (markets, products, campaigns).

• Ensuring reporting is clear, visual, and consistent for leadership.