Long before a buyer asks about your product range or your brand story, they will ask for numbers — and the numbers they ask for are remarkably consistent across deals. Understanding which metrics carry the most weight, and how they're calculated, lets you present your business in the language buyers actually use to make decisions.

Why buyers standardise on a small set of metrics

Professional buyers, whether a strategic acquirer, a private equity-backed aggregator, or an individual purchasing through a broker, evaluate dozens of businesses a year and need a fast, comparable way to size up opportunity and risk. A small set of metrics — customer lifetime value (LTV), customer acquisition cost (CAC), gross and net margins, and churn or repeat-purchase rate — lets them benchmark your business against every other deal they've seen, rather than evaluating it purely on its own terms.

If you can't produce these figures quickly and confidently when asked, it signals either that you don't track your unit economics closely, or that the numbers aren't flattering enough to have been calculated and shared proactively. Either read damages credibility before a single financial statement has even been reviewed.

LTV and CAC: the ratio that matters most

Customer lifetime value is the total gross profit (not revenue) a customer generates over their relationship with the business, and customer acquisition cost is the fully-loaded cost of winning that customer, including paid media, agency fees and a reasonable allocation of marketing salary time. Buyers generally want to see an LTV:CAC ratio of at least 3:1, with the underlying trend (is the ratio improving or deteriorating as the business scales) often mattering more than the single current figure.

  • LTV should be calculated on gross margin, not revenue, or it materially overstates the true value of a customer relationship.
  • CAC should include the full cost of the acquisition function, not just ad spend, to avoid understating the real cost of growth.
  • Payback period (how many months until CAC is recovered) is often requested alongside the ratio, particularly for subscription or repeat-purchase brands.
  • Cohort-level LTV trends, showing how recent customer cohorts compare to older ones, reveal whether unit economics are improving or eroding.

Margin structure: gross, contribution and net

Gross margin (revenue less cost of goods sold) is the starting point, but sophisticated buyers dig deeper into contribution margin — gross margin less variable costs like payment processing, fulfilment, returns and customer acquisition — because this is the figure that actually determines whether growth is profitable growth. A business with healthy gross margin but thin or negative contribution margin is, in effect, buying revenue rather than building a sustainable operation.

Net profit margin, after fixed overheads, matters for understanding the cash the business genuinely throws off, but buyers know that owner-run businesses often carry discretionary costs (a company car, above-market owner salary, family employees) that distort reported net margin, which is precisely why SDE and EBITDA adjustments, covered in our companion article on valuation methodology, exist.

Churn and repeat purchase rate as a proxy for durability

For subscription or repeat-purchase e-commerce models, churn rate (the percentage of customers lost in a given period) is one of the single most scrutinised numbers in a sale process, because it directly predicts future revenue durability without any further customer acquisition spend. A monthly churn rate that looks acceptable in isolation can compound into a materially different annual customer retention picture, so present both monthly and annualised figures.

Key takeawayA business with modest but stable churn, growing LTV:CAC, and clean contribution margins will often command a stronger multiple than a faster-growing business with deteriorating unit economics, because buyers are pricing durability and repeatability, not just current-year revenue.

Presenting metrics buyers will trust

Raw claims about LTV, CAC or churn carry little weight unless they're reconcilable to your underlying platform data — Shopify, Klaviyo, your subscription management tool and your ad platforms should all tell a consistent story when a buyer's due diligence team cross-checks them. Build a simple metrics dashboard well ahead of any sale process, updated monthly, so that the numbers you eventually present have a demonstrable track record rather than appearing freshly assembled for the transaction.

Buyers are also comparing your metrics against sector benchmarks they've built from other deals, so understand roughly where your business sits relative to typical UK e-commerce benchmarks in your category before you're asked — being able to explain a metric that sits below category average, with genuine context, is far better than being caught unprepared.

Getting the groundwork right before you go to market

The businesses that achieve the strongest outcomes are rarely those that scramble to calculate these metrics once a buyer conversation has started — they are the ones that have been tracking LTV, CAC, margin structure and retention as core management metrics for years beforehand. If you're even loosely contemplating a future sale, treat building this reporting discipline now as one of the highest-leverage things you can do for eventual valuation, well before you engage a broker or begin building a data room.

Related Considerations for UK Retailers

None of the decisions above happen in a vacuum, and it's worth thinking about how key metrics buyers look for: LTV, CAC, margins and churn explained fits alongside the other choices you're making as a UK online retailer. If you haven't already, Managing Cash Flow, Inventory Financing and Profit Margins in E-Commerce is a useful companion read on this exact point.

For related reading: This connects directly with Finding UK-Based Wholesalers and Manufacturers: Where to Look, which walks through the practical detail. We cover this in more detail in Managing Amazon Seller Performance Metrics and Account Health, which is worth reading alongside this piece.

Related reading