Retail Opening Hours: More Sales or Just More Cost?

Extending trading hours feels like an easy win: more time on the floor should mean more sales. But every extra hour also comes with wages, energy and often penalty rates attached. Whether longer hours actually pay off isn't a guess — it's a calculation you can run with footfall data you probably already have.

Start with the marginal hour, not the average one

The mistake most retailers make is looking at average daily sales per hour and assuming a new hour of trade will perform the same way. It won't. If you're considering opening an extra hour in the evening, what matters is the marginal hour — the specific traffic and sales you can expect in that exact window, not the average across the whole day.

This is where a people counting sensor earns its keep. Instead of guessing, you can look directly at your hourly traffic chart in BoostBI and see exactly how many visitors typically walk through the door in the hour you're considering adding.

The simple break-even calculation

Once you know the marginal hour's likely footfall, the rest is arithmetic:

• Expected visitors in that hour, from your historical traffic data.
• Expected conversion rate for that time slot — late evening browsing often converts differently to a lunchtime rush, so use the actual rate for that hour if you can.
• Average transaction value for your store.
• Cost of the hour — wages (including any penalty rates), energy, and any other marginal cost of staying open.

Multiply visitors × conversion rate × average transaction value to get expected revenue, then compare it to the cost of the hour. If revenue comfortably clears cost, the hour is worth trialling. If it's marginal, it's worth testing for a few weeks with the data running before you commit long-term.

Don't ignore staff and customer experience costs

A trading hour that's technically profitable on paper can still be a bad idea if it burns out staff rostered on a skeleton crew during a quiet period, or if a near-empty store during that hour hurts the perception of the brand. Traffic data tells you what's happening at the door; it's still a judgement call to decide whether that's the kind of hour worth keeping.

Testing before committing

The lowest-risk way to answer this question is a time-boxed trial: extend hours for four to six weeks, watch the hourly traffic and conversion data in BoostBI throughout, and make the call with real numbers instead of a single quarter's worth of anecdotes from the team.

If you're not sure whether your current data can answer this question yet, our Dashboards & KPIs guide walks through the exact metrics — footfall, conversion rate and peak hour — that make this kind of analysis possible.