If you sell online, you already know competitor prices do not stand still. Someone drops a price on Friday, raises it back on Monday and you may never find out. The question is not whether to track competitors, but how to do it without eating up your whole week.
In this post we look honestly at two paths: manual price monitoring with a table and open browser tabs, versus automated monitoring that checks prices for you. Neither is automatically the right choice. Let us see when a table is enough and where it quietly fails you.
How manual price monitoring actually works
The manual method is simple and you can start today. You build an Excel or Google Sheets table, put your products in one column and competitor names across the others. Then you open each competitor’s page, find the right product and type the price into a cell. Once you have gone through them all, you have a snapshot.
This works, and it works well when you have few products. With a dozen key products and three or four competitors you get an overview in a couple of coffee breaks. You see the numbers with your own eyes, you immediately grasp where you are more expensive and you know your assortment better than any tool anyway. For a small shop there is nothing to be ashamed of in tracking competitor prices by hand.
The problem is not the method itself. It shows up when the number of products, the number of competitors or the checking frequency grows. And usually all three grow at once.
Where the manual method starts to fail
Three things go wrong with manual monitoring and they get worse the bigger your shop grows.
First, time. The workload is not the number of products, it is products times competitors times frequency. Ten products with three competitors is thirty checks. A hundred products with five competitors is already five hundred checks every time you refresh the table.
Second, human error. When you enter five hundred numbers by hand, one lands in the wrong row, one stays stale, one you read with VAT and the next without. You do not notice the mistake until you make a bad pricing decision on it.
Third and most important is freshness. A table is a snapshot of the moment you looked. A competitor can drop a price on Friday evening for a campaign, hold it over the weekend and raise it back on Monday morning. If you check on Thursdays, that campaign simply does not exist in your table. You do not lose because you tracked badly, you lose because you tracked rarely.
A sample calculation: how much time it takes
This calculation is purely illustrative. Do not take these numbers as fact, replace them with your own and see what comes out.
Assume you have 100 products and 5 competitors. That makes 500 price checks. Say each check takes on average 20 seconds: open the page, find the product, read the price and type it in. For example:
- 500 checks times 20 seconds is roughly 2.8 hours per full round.
- Once a week, that is roughly 11 hours a month.
- Check twice a week and everything doubles.
And even after those hours you still only have a snapshot. The weekend campaign that ran between your checks stays invisible. The time cost is real, but the missing information is what actually costs you.
What automated price monitoring changes
Automated price monitoring does not do the same work faster, it does a different kind of work. Instead of taking snapshots, the tool watches prices continuously in the background and tells you when something changes.
Three things are fundamentally different here:
- Continuous checking. Prices update several times a day, not once a week. The Friday evening campaign gets recorded even while you sleep.
- Alerts at the moment of change. Instead of you hunting for changes, the change comes to you. For example, Comprice sends several alert types, including when a competitor lowers a price and when someone is now cheaper than you.
- Position history instead of a snapshot. A table shows today’s state. History shows patterns. You start to see that one competitor drops prices at the end of every month, or that a certain category always dips in season. Comprice keeps position history and shows competitor patterns like campaign timing and seasonality.
An important nuance: Comprice is advisory, not automatic. It never changes your prices for you. It shows what is happening in the market and you make the decision. The tool gives the information, you keep your hand on the pulse.
Honestly: the automated path has a cost too
It would not be fair to finish without the other side. Automated price monitoring is a paid tool. That means a cost a table does not have, and some setup, since you need to get your products and competitors into the system.
So the choice is not “good vs bad”, it is “what makes sense at your scale”. If you track ten products, a table is a perfectly decent solution and a paid tool would be overkill. If you track hundreds of products across several competitors and make real pricing decisions on those numbers, then manual monitoring becomes more expensive than it looks, because you pay for it in hours and in missing information. That is where automation starts to pay off.
To understand how continuous monitoring looks in practice, take a closer look at competitor price monitoring and how competitor tracking works. If you are ready to move past the table, also read how AI finds the same product across shops.
If you want to see how your own products and competitors look on one screen, Try it free or explore competitor price monitoring.