Developing A Multi-Channel Ecommerce Strategy

You probably track result metrics. But do you track the levers behind them? Everyone wants to grow key metrics: AOV, LTV, etc. However, most dashboards stop there. They show what happened, not what to fix. Here’s what you should be managing: → AOV ↳ Average Discount ↳ Cross-sell Success Rate → Gross Profit ↳ COGS ↳ Net Return Impact → Conversion Rate ↳ Add-to-Cart Rate ↳ Checkout Completion Rate → CAC ↳ Product Page View Rate ↳ Ads CTR → Repeat Purchase Rate ↳ Time Between Purchases ↳ Email Click Rate → CSAT ↳ On-Time Delivery Rate ↳ Ticket Resolution Time → Organic Traffic ↳ Coverage Issues ↳ Keyword Rankings No one grows AOV by watching AOV. And growth comes from managing what’s underneath. This cheat sheet is a reminder: If you want to grow this… manage that. 📌 Save this. Share it with your team. Which of these levers do you track today?

I've built 3 companies from the ground up. Here's what I actually track. Most founders drown in data. They measure everything and understand nothing. I track 12 metrics. That's it. 1. Start with gross margin. If you can't make money on each sale, volume won't save you. Healthy margins fund growth. 2. Operating cash flow tells you if the business can fund itself. Cash is oxygen. Without it, nothing else matters. 3. EBITDA measures profitability at scale. It's how investors compare businesses and how you know if you're truly profitable. 4. Cash runway is simple math. How many months before you run out? Balance growth with survival. 5. Customer acquisition cost shows what it takes to win a customer. If you don't know this number, you're flying blind. 6. Customer lifetime value is the flip side. How much does each customer generate over the relationship? 7. The LTV:CAC ratio validates your growth strategy. Rule of thumb, above 3 is strong. Below that, you're burning cash. 8. Customer retention rate measures loyalty. High churn means weak product-market fit. Period. 9. Revenue growth rate shows momentum. Investors and buyers look at this first. 10. Net revenue retention shows if you're growing from existing customers. Over 100% means expansion covers churn. 11. Churn rate signals problems early. Rising churn is a red flag you can't ignore. 12. Burn multiple reveals capital efficiency. How much cash are you burning for every dollar of new revenue? I learned these across 40 years and 3 exits. Some the hard way. Track these 12 first. Ignore the rest.

Certainly, while wishlists have emerged as a valuable tool for gauging consumer interest, there are several other methods and metrics that e-commerce platforms can use to measure consumer interest: 1. Cart Abandonment Rate: Observing how many customers add products to their carts but don't complete the purchase can provide insights into potential hesitations or barriers. 2. Product Views: The number of times a product is viewed can indicate its popularity or interest level. 3. Time Spent on Page: Monitoring the average time consumers spend on product pages can hint at their level of interest. 4. Product Reviews and Ratings: A high number of reviews or ratings, even if mixed, can signify strong interest or engagement with a product. 5. Search Query Analysis: Observing which products or categories users are searching for on the platform can indicate trending interests. 6. Social Media Engagement: Shares, likes, comments, and mentions related to products can provide insights into consumer preferences. 7. Referral Traffic: Analyzing traffic from external sites or social media can show where the interest is coming from and which products are driving it. 8. Customer Surveys and Feedback: Directly asking customers about their preferences or interests can yield detailed insights. 9. Sales Data: A straightforward metric, but analyzing which products are selling the most can clearly indicate consumer interest. 10. Click-Through Rate (CTR): Observing how often people click on a product after seeing it in a recommendation or advertisement can be a strong indicator. 11. User-Generated Content: If consumers are posting pictures, videos, or blogs about a product, it showcases genuine interest and engagement. 12. Repeat Purchases: Products that are frequently repurchased can indicate high levels of satisfaction and interest. 13. Customer Service Inquiries: The number and nature of questions related to a product can offer insights into areas of curiosity or concern. 14. Heatmaps: Tools that show where users most frequently click, move, or hover on a page can help in understanding which products or sections grab their attention. 15. Newsletter and Email Open Rates: If consumers are frequently opening emails about specific products or categories, it can be an indication of their interest areas. 16. Retargeting Campaign Success: The conversion rate of retargeting campaigns can provide insights into the residual interest of consumers after their initial interaction. By leveraging a combination of these methods, brands can gain a comprehensive understanding of consumer interest, helping them to tailor their offerings and marketing strategies more effectively. #ecommerce #LinkedInNewsIndia

What happens when you align product performance with sessions, conversion rate, advertising spend, stock on hand and sell-through date? You stop guessing and start making commercial decisions with real clarity. The best merchandise planners and marketers already know this: no metric in isolation tells the full story. The strongest teams are combining traditional planning metrics with ecommerce performance data to understand not just what is happening, but why. For DTC brands, bringing these data points together turns a messy performance picture into a simple set of actions: 🔍 1. Decide what to advertise more When a product has strong conversion, healthy margins and enough stock to support demand, but low sessions, it’s usually a sign that it needs more visibility. This is the sweet spot for scaling paid spend: the product already proves it can sell — it just needs more traffic. 💸 2. Identify what to mark down If you’re holding too much stock and the sell-through date is creeping up, yet conversion is weak even with steady sessions, discounting becomes a strategic lever. Markdowns help clear inventory without wasting ad spend on products the customer clearly isn’t choosing at full price. ✋ 3. Know when to pull back advertising High ad spend + plenty of sessions but poor conversion = a red flag. This is where you pause or reduce spend, diagnose the issue (price, positioning, creative, customer reviews), and redirect budget to products with stronger unit economics. Sometimes the best ROI comes from simply stopping the leak. When metrics live in silos, teams argue. When metrics connect, teams act. This is how modern DTC brands protect margin, improve cash flow and scale the right products at the right time.

𝗔𝗿𝗲 𝗬𝗼𝘂 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝗿 𝗣𝗶𝗰𝘁𝘂𝗿𝗲? Many sales and marketing leaders focus on metrics that matter to their individual teams. While tracking website traffic, lead volume, or pipeline velocity is common, have you stepped back to see how these numbers fit into your overall revenue engine? Below is a snapshot of the key metrics each function typically tracks—and the revenue engine metrics you should monitor together for a complete picture: 𝗙𝗼𝗿 𝗦𝗮𝗹𝗲𝘀 𝗟𝗲𝗮𝗱𝗲𝗿𝘀:  • 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆: How quickly deals move through your funnel. Faster velocity means efficient conversion.   • 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗥𝗮𝘁𝗲𝘀: The percentage of leads that turn into opportunities and closed deals.   • 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗗𝗲𝗮𝗹 𝗦𝗶𝘇𝗲 & 𝗪𝗶𝗻 𝗥𝗮𝘁𝗲𝘀: Indicators of deal quality and sales effectiveness. 𝗙𝗼𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗟𝗲𝗮𝗱𝗲𝗿𝘀:  • 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 & 𝗦𝗼𝗰𝗶𝗮𝗹 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Although often seen as vanity metrics, they offer a glimpse of initial interest.   • 𝗟𝗲𝗮𝗱 𝗩𝗼𝗹𝘂𝗺𝗲 & 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Focus on not just the number, but the qualification of leads (e.g., MQLs).   • 𝗟𝗲𝗮𝗱 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 𝗥𝗮𝘁𝗲 (𝗟𝗩𝗥): The growth rate of qualified leads, hinting at future sales potential.   • 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 & 𝗥𝗢𝗜: Which campaigns are truly driving valuable leads and revenue. 𝗙𝗼𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗟𝗲𝗮𝗱𝗲𝗿𝘀:  • 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 & 𝗖𝗵𝘂𝗿𝗻 𝗥𝗮𝘁𝗲𝘀: High retention and low churn show that your team is building lasting, profitable relationships.   • 𝗨𝗽𝘀𝗲𝗹𝗹 & 𝗖𝗿𝗼𝘀𝘀-𝗦𝗲𝗹𝗹 𝗥𝗮𝘁𝗲𝘀: Measure success in generating additional revenue from existing customers.   • 𝗡𝗣𝗦 & 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗛𝗲𝗮𝗹𝘁𝗵 𝗦𝗰𝗼𝗿𝗲𝘀: Gauge customer satisfaction and loyalty. 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗘𝗻𝗴𝗶𝗻𝗲 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝘁𝗼 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿:  • 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗙𝘂𝗻𝗻𝗲𝗹 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻: Track the seamless movement from MQL to SQL to closed deal.   • 𝗖𝗔𝗖 𝘃𝘀. 𝗖𝗟𝗩: Compare the cost of acquiring customers with the revenue they generate over their lifetime.   • 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Assess how well customer data is shared and used across teams for smarter targeting and personalization. Shifting your focus from isolated metrics to these holistic KPIs gives you clarity on where your revenue engine excels—and where it needs improvement. Together, these indicators provide a comprehensive view of how effectively your organization drives sustainable revenue growth. Are you ready to break down silos and embrace a holistic view of your performance metrics -  to unlock the full potential of your revenue engine?

We all say we’re “data-driven.” But if the only number you track is revenue…  You’re just revenue-driven. That’s like calling yourself a chef because you know how to eat. Revenue is the scoreboard. But to actually win the game, you need to track the plays that create it. Here are a few I watch closely: 1⃣ Customer Acquisition Cost (CAC) ↳ Protects margins and reveals if growth is truly scalable. ↳ Rising CAC without rising LTV = red flag. 2⃣ Customer Lifetime Value (LTV) ↳ Shows the real worth of a customer over time. ↳ Informs how much you can afford to acquire them in the first place. 3⃣ Conversion Rate by Funnel Stage ↳ Pinpoints exactly where prospects drop off. ↳ Optimizing here often costs less than buying more traffic. 4⃣ Retention Rate ↳ Growth gets easier when your base sticks around. ↳ Higher retention means compounding revenue without compounding spend. 5⃣ Attribution Quality ↳ Without reliable attribution, you’re guessing where sales come from. ↳ Bad data = wasted budget and wrong bets. Being data-driven is about having a full picture, not just the scoreboard. Revenue tells you the “what.” The rest tells you the “why” and “how.” What’s one non-revenue metric you’d never stop tracking? ♻ Share this to help more brands go beyond “revenue-driven.” Follow me, Francesco Gatti, for more on data, retention, and ecommerce growth.

Dashboards don't make you a great analyst. Knowing which numbers actually matter does. Here are the 10 metrics every analyst should know by heart 👇 1 - Revenue Total income from products or services over time. Break it by product, geography, and customer cohorts. It's the foundation for every forecast and strategic decision. 2 - Growth Rate How quickly key metrics increase or decline. Analyzed MoM, QoQ, and YoY. Helps identify acceleration, stagnation, or early warning signals before leadership asks. 3 - Conversion Rate How effectively users complete desired actions. Segmented by channel, device, or geography. Small improvements here create outsized revenue impact. 4 - Customer Acquisition Cost (CAC) How much it costs to win one new customer. Always analyze alongside LTV. High CAC signals an inefficient growth strategy, not just a marketing problem. 5 - Customer Lifetime Value (LTV) Total revenue a customer generates over their relationship with you. Calculated using ARPU, churn, and lifespan. Healthy businesses maintain strong LTV-to-CAC ratios. 6 - Retention Rate How many users keep coming back. Analyzed through cohorts for deeper insight. Retention often matters more than acquisition and it's a direct signal of product-market fit. 7 - Churn Rate How many customers stop using your product. Essential for subscription businesses. Reducing churn frequently drives faster growth than acquiring new users. 8 - Average Order Value (AOV) Average revenue per transaction. Increasing AOV improves profitability without increasing traffic, one of the highest-leverage levers in e-commerce. 9 - Customer Engagement Metrics DAU, MAU, session duration, interactions. High engagement predicts long-term retention. It tells you whether users actually value the product — not just whether they signed up. 10 - Operational Efficiency & Profitability Cycle time, cost per unit, gross margin, net margin. Efficiency improvements directly impact profitability. Profitability determines long-term viability - everything else is vanity without it. Strong analysts don't track every metric. They track the right ones, align them with decisions, and communicate clearly with stakeholders. Mastering these 10 is where that starts. Which metric do you find most underused in your team? 👇

Forget conversion rate and platform ROAS. After analyzing 4,000+ ecommerce brands, I found the 3 metrics that predict success better than anything else. 1. Brand Power This is a combination of direct traffic + organic traffic + branded search. Pro tip: To calculate this in Polar, you can create a custom metric with this advanced formula in 3 clicks. It proves your compounding marketing value. If people are actively seeking out your brand (vs. stumbling on it through ads), you're building a real asset. It’s a number you should see increase as your brand grows. 2. CAC by Product Most brands look at CAC as a single number. But tracking it by product reveals hidden opportunities. You can map the spend based on the landing page and the campaign name to figure out your hero product — the one that drives a significant portion of sales, customer acquisition, and brand awareness. Think of it like this: A beauty brand discovered their $10 moisturizer had a $2 CAC while their expensive products were much costlier to convert. That "low AOV" moisturizer became their best acquisition tool. 3. 180-Day LTV by Product Track the 6-month value of customers based on their first purchase to figure out which products create loyal customers. Sometimes your best entry point isn't your highest AOV product. It might be a cheaper product that will get people to come back. The problem with most platforms is they make these metrics hard to track. That's why we built them directly into Polar Analytics - just a few clicks and you can see exactly which products are driving your business forward. I’m curious: What other unconventional metrics do you track?

Met a founder last week who's done over $50M in sales, sold one of his brands for 7 figures, and now mentors thousands of sellers. One conversation completely shifted how I think about e-commerce metrics. The metrics that actually matter in e-commerce. Most founders I meet track revenue, conversion rates, and customer acquisition costs. This founder? He's tracking chargebacks, return rates, refund velocity, inventory turnover, storage fees, damaged goods, Amazon fee structures, seller account health scores, and about fifteen other metrics that quietly erode profitability. Here's why this matters: you can have amazing top-line growth while your bottom line slowly bleeds out through metrics you're not watching. The insight that hit different: In physical product businesses, the gap between gross sales and actual profit is massive. Every chargeback that hits your account. Every return that doesn't make it back to inventory. Every unit sitting in FBA warehouses racking up storage fees. Every damaged shipment. Every fee structure change from Amazon. These aren't just costs of doing business. They're the difference between a profitable brand and one that looks successful on paper but burns cash in reality. He's survived and thrived to $50M because he tracks the unsexy metrics that kill most e-commerce businesses before they realize what's happening. What I learned: Financial clarity in e-commerce isn't just about knowing your revenue and COGS. It's about understanding every single point where money leaks out of your business - the chargebacks, the returns, the storage costs, the account health penalties, the inventory shrinkage. E-commerce founders: if you're only tracking sales and ad spend, you're flying blind. The metrics that separate winners from losers are often the ones buried three layers deep in your seller dashboard. Zenith Jimmy Ku Nikhil Arora Evan Meagher, CFA Shreyas Manchanda Mayank Mihir Richard Pattle LVO Manuel San Miguel Brandon Weaver Marco Nobel Leon Fischer-Brocks Jake Rosenberg Robert Edwards CA (SA) Karl Johansson nitin kalwani