When brands compare price monitoring software, they tend to compare the wrong things. The demo shows a dashboard, the sales deck counts retailer logos, and the decision gets made on screenshots. But the variable that decides what you actually see, the one that separates competitor price tracking that works from a spreadsheet with a chart on top, is cadence: how often the tool checks each price. Two tools with identical dashboards and identical retailer lists will describe two completely different markets if one checks hourly and the other checks monthly.
Here is a real example from our own tracking. A laptop at a UK retailer started the month at its £999 RRP and hit a 30-day low of £829. In between, the price changed about 19 times. It dipped, recovered, dipped further, bounced back towards RRP, and some of those moves lasted less than a day.
Now run three tools over the same product:
Same product, same retailer, same month, three different stories. We published the full trace in a price can move 19 times a month, and it is worth a look: the raw sequence is far busier than most people expect.
A monthly check gives you direction of travel and that is all. It will tell you the market got cheaper over the quarter, which is fine for board reporting. It cannot tell you when a competitor moved, whether a move was a short promotion or a new everyday price, or who followed whom. By the time a monthly snapshot lands, most of the moves inside it have been and gone.
Weekly checks catch the durable stuff: a clearance that sticks, a promotional price that runs for a fortnight, a competitor stepping down a tier. In a slow category that might be enough. In consumer electronics it is not, because so much of the action happens inside the week. Weekend-only cuts, voucher windows, a rival testing a price on Tuesday and reverting on Thursday: a weekly check either misses these outright or catches one edge of them and misreads the whole picture. Our worked example is typical, with about 19 real changes compressed into roughly two observed ones.
Hourly tracking sees the market the way repricing engines see it, because that is the level at which they operate. Every event makes it onto the record: flash promotions, pricing errors that live for a few hours, MAP breaks that get quietly corrected before anyone senior notices, the competitor who drops at 6pm and restores at 9am. It is also the only cadence that produces a truthful lowest-in-window figure. If a product touched £829 for one afternoon, hourly data knows about it. Weekly data probably does not.
Cadence is not an analytics preference. It has a cost attached, and it shows up in a few predictable ways:
Most evaluation checklists start with the interface. Flip the order:
One thing anyone selling hourly tracking should admit: it produces noise. About 19 changes on one product is a lot of rows, and multiplied across a full catalogue and a dozen retailers it becomes far more events than a human can review. Some are trivial: a penny of rounding, a price that reverts within the hour. The answer is not to check less often. It is to collect at hourly resolution and filter at the alert layer, so notifications fire only on changes that mean something: a move beyond a set threshold, a new 30-day low, a break below RRP or MAP, a competitor undercutting a hero product. You want the complete record for analysis and a short, meaningful list in your inbox.
This is how Crawlbot is built. We track prices hourly across 34 consumer-electronics retailers in the UK, Poland, South Africa and the Nordics, roughly 7.4 million listings a month, with full price history, RRP and lowest-in-window per retailer. You can see every live listing of a product side by side (here is how that looks across every retailer and every price), and plans start with a 14-day trial. If you would rather see what hourly resolution reveals in your own category first, the free monthly report is the place to start.
7.4 million listings, 34 retailers across the UK, Poland, South Africa and the Nordics. Free monthly report: brand rankings, sponsored split, content benchmarks.
Download the Free Report