Conversion Rate Benchmarking

The "average ecommerce conversion rate" is 2-3%. Bet you’ve read that number on every benchmarks page. Well, it's useless. We pulled first-party data from 21 Shopify stores doing $688M in combined annual revenue. 161 million sessions over 15 months. Here's what our data shows. - A $45 product converts at nearly 6%. - A $400 product converts around 1%. Blending those into one "average" hides everything that matters. AOV is a far stronger predictor of conversion rate than industry. Stores selling under $60 had a median CVR of 4.63%. Stores above $200? Median of 0.95%. That's a 5x difference based on price point alone. So when you're comparing your 1.2% conversion rate to some generic "2-3% average" and panicking, you might be outperforming your entire peer group. Or you're selling $40 products at 2% and leaving serious money on the table. Context changes everything. We broke down the full dataset by price point, device, funnel stage, revenue tier, and seasonal trends. Read the full 2026 benchmarks report here: https://lnkd.in/dCZVKwGM

Amazon sellers are burning cash on PPC because they don't know what good performance actually looks like. Your 8% conversion rate isn't bad if you're selling $200+ products. Context beats blanket benchmarks every time. The reality check: → $20-30 AOV: 10-15% conversion is normal → $100+ AOV: 3-6% is solid performance   → Higher prices = lower conversion rates (it's psychology, not failure) Where most sellers compete: $15-60 AOV gets 70% of ad spend. Easy to enter, brutal competition. The hidden opportunity: $60-120 AOV is the sweet spot. Less crowded, better margins, still scalable. Why your CPCs keep climbing: Higher AOV means higher bids. Amazon's algorithm knows you can afford it. Category champions: → Beauty & Personal Care: 21% conversion → Food & Beverage: 17% conversion → Supplements: 16% conversion Big spenders win for a reason: Brands spending $60K-120K monthly convert best. More reviews plus more data equals customer trust. Don't judge your performance by generic industry benchmarks. Your category, strategy, and results matter most. #AmazonPPC #PPCBenchmarks #EcommerceStrategy #AmazonAds

Are you converting your Developer Product or API inbound leads to trials or paid customers? Traffic from SEO & content, doesn’t necessarily translate to sales. You have to successfully guide developers through the entire user journey. Let’s look at different stages of engagement and the gates that your leads have to go through: 1. DISCOVERY Your lead-gen lands curious developers on your website. They’re probably evaluating a dozen competitive solutions, so you’ll need to be very clear about what your product does and what its benefits are. - Gate: Prospects understand what they can achieve, and signup is painless - Benchmark: A good goal for signups is 5%. Exceptional organizations have upwards of 15%. 2. LEARNING Give developers easy examples and above all make it easy for them to make something happen with your API or tool quickly! - Gate: “Time To First Hello World” measured in minutes - Benchmark: Activation rate upwards of 20-40% 3. SUCCESS Developers are engaged in the trial period and use your docs, SDKs, support resources. They code and publish a simple app or workflow using your product. This is where they might sign up for a credit-card tier or feel they’d like to talk to someone. - Gate: Share code with others and able to understand your pricing - Benchmark: Upwards of 10% Free-to-Paid conversion. The highest achievers can do 25%. 4. RETENTION Watch out for signs of decreasing consumption. Get your customer success engaged and ensure developers have access to your community resources. Invest in uptime, security and sane updates! - Gate: Increasing consumption and no major issues - Benchmark: Net dollar retention > 100% from negative churn and expansion. Aim for 150% Let me know in the comments if these numbers resonate and also which stages you’re having trouble with. #API #DeveloperExperience #DeveloperMarketing

Last week, a productivity tech founder shared his numbers with us: - 2% conversion rate - $575 cost per win - 47 calls scheduled last month He thought it was brutal. But then I asked if he had cross-checked his results with any other biz ever. He told us no. So we run a little social experiment together, reaching out to 15 other SaaS founders (not our clients) to compare notes. Their numbers? Almost identical: 1-3% website conversion $400-700 cost per client signed 30-60 demos per month 6-8 months to optimize But here's what's fascinating... The startups that eventually succeeded didn't have better initial numbers. They just stayed in the game longer. 𝗧𝗵𝗲 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁𝘀: Month 8: Lead quality improves Month 12: Cost per demo drops Month 15: Referrals kick in Month 18: Brand awareness compounds The data shows a clear pattern: Those who quit at month 6 or 9 never saw the breakthrough. Those who pushed through month 18 built sustainable businesses. 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: Our struggle isn't as unique as we think. Our metrics aren't unusually bad. The only real failure? Getting fret by looking at every other startup online declaring they booked hundreds of calls each month. True number or not, it created a false sense of success which you shouldn't pressurize yourself on. Anyone else facing similar numbers?

I often get asked how to determine what makes a good conversion rate in a given category. Here's my approach to tackling this question. Scenario 1️⃣: Existing Products in the Same Category If you already have products in the same category, there are several ways to gauge what a good conversion rate (CVR) is: ● Brand Metrics: This tool provides insights into the top and median CVR for your category. By far the best place to look into. ● Search Query Performance (SQP): A valuable resource to understand the market's conversion rate at the keyword level. However, it's crucial to have a solid foundation in SQP to avoid being misled by the data. Scenario 2️⃣: Entering a New Niche This scenario can be trickier as you need to estimate the average CVR to gauge performance and plan budgets or rankings. ✅ Here's my method: Product Opportunity Explorer (POE): By combining search terms and products data, you can calculate total clicks and purchases for each term. This data allows you to estimate the conversion rate at the search term and niche level. Keep in mind, this is an estimation based on products capturing 80% of the clicks in the niche. It's a baseline to understand the average, but to succeed and launch effectively, you need to aim higher than the average. Want a copy of my template? Let me know in the comments!