Conversion Rate Optimisation

For local services in trades, hospitality and clinics: 2.5 to 4 percent of website visitors taking a meaningful action (booking, quote request, call) is healthy in 2026. For ecommerce: 1.8 to 3 percent for considered purchases, 2.5 to 4.5 percent for repeat-purchase categories like food and drink. Most UK SMB sites we audit convert at 0.8 to 1.4 percent because the booking or enquiry flow buries intent under unnecessary friction. The first sprint usually doubles that number inside 6 weeks.

For most SMBs, no. A/B testing only earns its keep above roughly 8,000 monthly sessions on the page being tested, because under that volume tests rarely reach significance inside a useful timeframe. We use sequential, hypothesis-led changes instead: fix the obvious first, measure on bookings rather than clicks, and only spin up VWO or GA4 experiments once volume justifies it. If a vendor is selling you a £400 a month testing platform on 2,000 sessions, walk.

Taking a deposit, or a card capture, at the booking step. Across the salon, beauty, clinic and trade clients we have run this for, deposit logic cuts no-shows by 60 to 80 percent and lifts revenue per visitor by 18 to 35 percent because each booking is now genuinely confirmed. The conversion rate dips by 8 to 12 percent because some buyers won't enter card details upfront, but the no-show drop more than compensates. We pair it with a clear refund window and a five star deposit copy block.

Every engagement starts with a baseline: 30 days of session data, primary conversion volume, secondary action volume, and revenue (where available). Changes are shipped one at a time where possible, tagged in GA4 with a release marker, and measured against baseline for at least 14 days before the next change ships. We report on bookings or revenue, not click-through rate. If a change moves clicks but not bookings, we revert. Full audit trail in a Notion or Looker doc, your data, your account.