Guides
Catching trends early

How to catch a category trend before it reaches your street

The job. Seeing a shift in what people want while you can still act on it.

Trend awareness in this industry is usually retrospective. A category becomes visible when enough operators have opened that it is obvious, which is precisely when the rent on the right unit stops being attractive.

The signals that arrive earlier are less comfortable to work with, because each one on its own is weak. A handful of new incorporations, a rise in a search term, three planning applications, a change in what reviewers mention. None of them would convince anyone in isolation. Together, and pointed at one specific area, they are a reasonable early warning.

The discipline is to look at all of them in the same place, at the same time, and to be honest that you are reading a weak signal early rather than a strong one late.

The method

  1. Separate the national story from your street

    Start by writing down what the trade press says is happening, then treat it strictly as a hypothesis to test locally. National direction and local reality diverge constantly, and the divergence is usually the commercially interesting part: a category that is shrinking nationally but absent locally can still be the right letting.

  2. Watch new company formations in the area

    New operators register before they open. Filtering incorporations by industry code and by registered address gives you a rough leading indicator of what people are about to try in a given place. Most will not open. The pattern across many of them still tells you something.

    • Companies House advanced search

      Filter by SIC code and incorporation date, then look at where the registered offices cluster.

      What it misses. Free and genuinely early. Registered office addresses are often an accountant's, not the trading site, so treat the geography as approximate.

  3. Read the planning and licensing pipeline

    Planning applications and premises licence applications are the most concrete early signal there is: somebody has spent money to ask permission. Set a habit of checking your boundary monthly rather than searching in a panic when a competitor opens.

    • The council's planning register

      Search applications inside your area by date, and read change of use in particular.

      What it misses. As close to a confirmed opening as public data gets. Refusals and withdrawals are part of the picture, so read the outcome and not just the application.

    • The premises licence register

      Published by the same council, usually separately from planning.

      What it misses. Catches food and drink operators who need a licence but no planning consent. Often the earlier of the two.

  4. Check whether demand is moving, not just supply

    New openings tell you what operators believe. Search behaviour tells you something about what people are actually looking for, and it is available by region and over time, which is what makes it usable rather than merely interesting.

    • Google Trends

      Compare category terms by region over a two to five year window, and read the rising queries.

      What it misses. Relative interest, not volume and not spend. Small geographies get noisy fast, so work at the level of the town or region rather than the street.

  5. Use reviews as the fastest-moving signal you have

    New operators accumulate reviews quickly, and the text changes before any aggregate does. Two things are worth watching: how fast a newly opened place is collecting reviews compared with established operators in the same category, and whether reviewers of existing places have started mentioning something they did not mention a year ago.

    • Review velocity on new openings

      Compare reviews collected in the first three months against a nearby incumbent's recent three months.

      What it misses. A fast, cheap read on whether something has landed. Novelty inflates it, so recheck at six months before concluding anything.

    • What reviewers mention now

      Read the most recent fifty reviews of the incumbents and note the subjects that were not there before.

      What it misses. The earliest signal in this list and the most labour intensive. It is also the one nobody else on your street is doing.

Where this goes wrong

Confusing seasonality with a trend

Almost every one of these signals has a seasonal shape. Always compare with the same period last year rather than with last quarter, and be suspicious of any finding that appears in a single quarter and nowhere else.

Reading only the survivors

It is much easier to see the operators who opened and stayed than the ones who opened and closed. If you only count what is trading today, every category looks more successful than it was. The closures are part of the trend and they are harder to find.

Acting on one signal

Any one of these is weak on its own. Search interest without openings is curiosity. Openings without demand movement is operators copying each other. Look for two or three pointing the same way before you move.

Or have it run for you

None of these signals is hard to check once. The problem is that the value comes from checking all of them, in the same area, repeatedly, and almost nobody sustains that by hand.

  • The category mix of an area, counted rather than estimated, so a shift shows up as a change in share.

  • Review text read across every operator in the area, which is where a change of subject surfaces first.

  • The same analysis on a comparison area, so you can tell a local shift apart from a general one.

  • Repeat runs that are comparable by construction, which is the only way a trend is visible at all.

What has changed around here?

Area Analysis

The current mix, the rating distribution, and the themes that recur across the area's operators, which is the baseline any trend is measured against.

Is this local, or is it happening everywhere?

Gap Analysis

Your area against up to three others on mix, performance, customer voice and momentum, which separates a shift in your street from a shift in the market.

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