Emily I build fare-tracking systems for a living. Last month I pointed the tools at my own inbox. Here’s the number, the 5-minute audit that finds yours – and how I stopped mine from growing.
By Ingrid Solveig Marsh, data scientist with 8+ years in fare-tracking systems
According to recent industry data, flyers now average $3,300+ a year on airfare. When I read that this spring, I didn’t doubt the number. I doubted myself.
The uncomfortable part: I track fares at the aggregate level for a living. I’d never once pointed the tools at my own wallet.
So I did what I do at work: pulled every booking confirmation since 2021 – 34 flights – and compared each price I paid against the lowest fare recorded for that route around my booking window.
My average overpay was $312 – inside the $200-$400 band that keeps showing up in fare data. Across 34 flights, that’s $10,608 in five years. I sat with that number for a while.
The part the folk wisdom got right – and the part it didn’t
Book on Tuesdays. Clear your cookies. Every travel forum has a version of this debate.
The folk wisdom is half-right: prices really do move constantly, and timing matters.
But it isn’t your cookies. Airlines aren’t watching your browser. What’s actually happening is continuous dynamic repricing – fares shift all day, on their side, for everyone.
And the big search sites often serve averaged or cached results. Genuine drops last minutes to hours. Error fares get corrected as anomalies.
So when you search, you’re sampling a moving signal at a random moment – you land near the average. At $200-$400 lost per flight, that’s roughly one extra trip a year that never happens.
Tomas ran the same audit
Tomas, a project manager I used to work with, books carefully – comparison sites, midweek searches, the usual advice.
He ran his own audit. Five minutes: search your inbox for “booking confirmation,” list what you paid, check what that route went for around the same dates.
His six bookings showed my pattern – an overpay in the low hundreds on almost every one. He wasn’t booking badly. He was booking blind.
Searching was never the problem. Searching was the paradigm.
That’s when it clicked for both of us: the problem isn’t how we searched – it’s that we were searching at all. A price that moves all day can’t be caught by a person who checks twice a week. It has to be watched.
At work, the answer to a moving signal is never “sample harder.” It’s continuous monitoring. RatePunk is the consumer version of that. You set your home airport, and it watches airfare 24/7 across airlines and booking sites. Every fare gets an AI Deal Score from 0 to 100 – based on price history, savings, route distance and timing – and only fares that clear an 80+ Deal Score reach you.
I set it up the way I’d set up any test. Three weeks in, an alert landed for a route I’d overpaid on twice: New York to London, $275 round trip – a fare that typically runs $898. Deal Score: 96. The screenshot below is the receipt.
One alert, bigger than my $312 average – the overpay I’d spent five years measuring, running in reverse.
The numbers: 300,000+ members. 4.7 stars on the iOS App Store, 4.6 on Google Play. And a filter that discards everything below an 80+ score (out of 100) before it ever reaches your inbox.
Other fares members caught that month:
→ New York to Lisbon: $170 round trip (rated 96/100)
→ Houston to London: $268 round trip, typically $815 (rated 96/100)
→ Los Angeles to Madrid: $177 round trip (rated 99/100)
How it works
1. Airport. Pick your home airport – or search city-to-city, or fully flexible (“Anywhere, Anytime”). Filters include last minute, long-haul, trending, beach and more.
2. Algorithm. It scans fare data around the clock and scores every fare from 0 to 100.
3. Alert. When something clears 80+, it arrives by email or push with route, dates, price and a direct booking link. RatePunk isn’t a booking site – you book through the link yourself.
The obvious questions
Is it legitimate? The 300,000+ members and app-store ratings are checkable, and you book through the airline or booking site yourself.
Will it work from my city? You choose your own home airport, and the flexible modes cover routes beyond it.
Sounds too good to be true. Right instinct. The honest answer is selectivity: most fares never clear an 80+ Deal Score, so what reaches you is the exception, not the norm. The promise is savings of up to 90% on flights, delivered to you – not every day, just when the data says so.
Setup takes about a minute. If a fare clears 80 for your airport, you’ll see what I saw. If nothing does, you’ve spent a minute.
Run your audit – then stop the bleed
My audit told me what five years of searching cost. Monitoring is what stops the number from growing — it’s how members are still catching 2024-level fares in a 2026 market. Tomas set his up the same week.
– Set your home airport once
– Let the algorithm watch fares 24/7
– Only 80+ Deal Score fares reach you
– Alerts arrive with dates, price and a direct booking link
P.S. You’ve already read this far. That means some part of you suspects you’ve been overpaying. The only way to know for sure is to turn on the alerts and see what shows up for your airport. The drops worth catching last minutes to hours – that alert above exists because software was watching when no human was.
