Turns out most founders donāt track competitor pricing until itās too late
Hey everyone š
A couple weeks ago I shared that I was building a small tool to stop manually checking competitor pricing pages.
Since then Iāve been talking to founders on Reddit, X, and here to understand how people actually track competitors.
A few interesting patterns started showing up:
ā¢ Most founders donāt track competitor pricing continuously
ā¢ They usually check only when changing their own pricing or positioning
ā¢ Some founders told me theyāve missed competitor pricing changes for weeks
One founder even mentioned losing several deals because a competitor quietly dropped their pricing and they didnāt realize until much later.
Which made me rethink something about the product.
Maybe the real value isnāt constant monitoring.
Maybe itās more like:
āDonāt let a competitor change pricing without me knowing.ā
So now Iām experimenting with a very simple workflow:
Paste a competitor pricing page ā get notified if something meaningful changes.
No dashboards, just alerts.
Still very early, but Iām curious:
How do you personally keep track of competitor pricing or plan changes?
Do you:
ā¢ check manually once in a while
ā¢ use some kind of monitoring
ā¢ or mostly ignore competitors?
Would love to hear how others handle this.
The distinction worth drawing is "did it change" vs "what changed."
Most monitoring tools solve the first problem. The second is where the operating value lives, classifying whether a pricing change is a downmarket move, a packaging consolidation, or a quiet test changes what you do with the information. A system that can't tell you which one it is shifts the interpretation burden back onto you, which is most of the work you were trying to avoid.
We ran into this building Metrivant , our answer was to run deterministic classification before any AI layer touches the signal.
This maps to a broader pattern I've noticed: founders are way better at tracking external signals (competitors, market trends) than internal ones. I run a small macOS tool business and I was totally blind to how much my own AI API costs were drifting month to month until I started actively monitoring them. Turned out my Claude API spend had doubled in 6 weeks because of context window changes I hadn't accounted for. The "notify me when something changes" model you're describing is exactly right. Nobody wants another dashboard to check. They want to be told when something material happened so they can decide whether to act.
Spot on about dashboard fatigueāthatās the thinking behind the notification-first model. Iād rather give founders their time back than another tab to keep open.
That API cost jump is a perfect (and painful) example of how quietly these things can creep up. Out of curiosity, was it a surprise invoice that tipped you off, or did you just happen to notice it while checking usage?
Your pattern matches what I've seen too. Most founders check competitor pricing reactively - when they're about to change their own pricing, or when they lose a deal and wonder why.
The problem with continuous monitoring is that price alone is usually a lagging signal. By the time a competitor has quietly dropped their price and you've noticed and responded, you've already lost some deals. The real question is whether your pricing is causing you to lose deals you should be winning, which is hard to know from just watching a pricing page.
That said, the "notify me when something changes" use case feels genuinely useful. It's the same reason people set up Google Alerts - not because they're obsessively tracking, but because they don't want to miss something material without at least knowing it happened.
One thing worth testing: whether the signal that actually matters to founders is a price change, or a positioning change. Competitors often adjust how they describe value (feature bundles, what's in which tier) without changing the number. Sometimes that's more important than the price itself.
Good problem to work on - the boring manual checking is exactly the kind of thing worth automating.
Thatās a good call on pricing being a lagging indicator.
In a number of situations, the number itself doesnāt change, but the way the value is presented changes.
Thatās actually something Iām experimenting with detecting as well, not just the raw price change but plan structure and feature changes.
Curious, when you identify this with your competitors, whatās your current process for usually discovering this? Is it manual or through customer feedback?
Honest answer to your question, we mostly ignore competitors š
Running app development agency for 7 years and I check competitor pricing maybe twice a year. Usually when we are thinking about changing our own rates.
But your observation about the silent price drop is very real. In services business we see this more with Upwork agencies. Someone quietly lowers their hourly rate and starts winning projects you were winning before. You only notice when win rate drops.
The alert approach makes more sense than dashboard honestly. Nobody wants one more thing to check daily. But a notification that says "this competitor just changed their pricing page" is something you would actually act on.
Simple and useful. Good direction.
One question, are you planning this for SaaS only or service businesses also?
Glad the alert-first approach resonates. The āwin rate dropā moment is exactly when most founders seem to realize theyāre already behind.
I initially focused on SaaS since pricing pages are fairly structured, but youāre right ā service businesses probably have the same issue with silent rate changes.
If you got an alert that a top competitor just updated their rates, what would you actually do next with that information?