Why Most Ecommerce Businesses Fail to Scale Past Their First Year
Many eCommerce companies are not unsuccessful because the product was poor or the founder lacked dedication. Failure is often a result of the strategy that was effective in the first three months not being the right strategy for the following nine months. The tactics that help you launch a business, such as paid ads, the founder managing each order themselves, or relying on instincts rather than data, can be detrimental to your business when scaling it.
The CAC trap nobody talks about until it’s too late
Social media advertising tends to be the go-to for most direct-to-consumer businesses and it’s proven effective with results often coming in quickly. The issue is that ad costs only go up as you become more successful, and if those costs outgrow the lifetime value of your customers, you’re still stuck in the red.
Surviving brands tend to do a solid job of calculating the lifetime value of their customers and it shouldn’t just be about how much a customer spends initially. You don’t just want to make that customer purchase again; you want them to continue buying. If it costs more to gain a new customer than it does to earn another purchase from an old one, you’re spending too much on marketing.
Scaling the wrong things first
Scaling too fast is a common mistake made by many ecommerce businesses. For instance, they find a Facebook ad that performs well at a moderate cost, then they double their budget. They soon realize that performance has deteriorated. The ad is still functional, but the sales funnel couldn’t cope with the sudden increase in traffic.
Site loading time, checkout process, customer services, and return management are not marketing issues, but are all related to conversion rate and repeated purchasing behavior. If the conversion rate in your store is 1%, and you double the money on traffic, you will have twice the visitors and almost constant customers at double the price.
Optimization of the conversion rate should come before traffic growth, not after. The brands that understand this early become aware of real data on behavior – depth of scrolling, lost customers, process of abandonment of the cart – and will eliminate any problems before they start spending on traffic. Looking at Shopify ecommerce case studies, you can see how some popular brands made this transition. They used the cleanup as a basis for growth, instead of using growth as a secondary aspect.
Cash flow collapse during momentum
One of the most common failure scenarios for entrepreneurs is that the business is making progress. Orders are increasing. Revenues are growing. And then the company goes bankrupt. It sucks, but order volume and revenue numbers don’t pay the bills – cash does. And cash comes with a horrible timing lag. You have to pay your suppliers today, but your customers won’t pay you for another 30 to 60 days. That lag gets exponentially worse as you grow. Poor inventory management further exacerbates the problem. Too much inventory ties up money; too little drives customers away and damages your reputation at the most vulnerable point in your company’s development. They’re just starting to trust you, and you let them down.
Brand differentiation isn’t optional
If customers don’t have a compelling reason to choose your product over others, they will default to using price as a comparison point. In this case, you will constantly be lowering your prices to compete with others, and as the competition does the same, your profit margins will drop.
So if you don’t have a real brand differentiator you’re forced into a pricing war you probably will lose. This is a dangerous place to be for startup companies. Those just starting out need cash-flow and profits, not a pricing race to the bottom.
Making decisions from data, not conviction
It is helpful to rely on the intuition of the founder in the beginning. Time is short, there is very little data, and confidence is essential to overcome doubt. However, at a certain point, the business must be based on the reality of what customers are actually valuing, not your hypotheses about what they should value.
This requires knowing which products garner the highest levels of repeat purchase intent, which channels are generating the best LTV customers (not just the cheapest first purchase), and where customers are abandoning the purchase funnel. For virtually every founder, the answers are not what they expected. The pivot from “what I believe about my customer” to “what my data is telling me about my customer” is one of the most important transitions of a company’s lifecycle.
Most ecommerce companies that fail in year one fail not because of false demand but because their operational underpinnings never scaled to meet their ambitions. Scaling isn’t doing more of what worked in month one – it’s having a set of systems that will work with or without your direct involvement.
