Was the Price Raised Before the Sale? How to Check
A '40% off' badge can sit on a price raised days earlier. How a pre-sale price rise inflates a discount, and a 6-step manual check, with a worked ₹ example.
On this page
Was the price raised before the sale?
Short answer
You can only tell by comparing the sale price with what the exact same item cost in the weeks before the sale. The percentage badge cannot answer it, because it measures against the MRP or a crossed-out price. A pre-sale rise shows up as a higher price in the last few days than in the weeks earlier.
That is the whole idea. The rest of this page shows how a price rise before a sale can make a discount look bigger, how to check it by hand with a phone and a notebook, what one independent site says it found, and what you cannot know.
This is the practical companion to is that discount real?, which explains how MRP and reference prices work, and to MRP vs selling price, which covers the percentage arithmetic. Here the focus is narrower: the weeks before a big sale, such as the Great Indian Festival, Big Billion Days or a Diwali sale. We do not name sale dates, because we have not verified them.
How can a price rise make a discount look bigger?
A discount badge compares the sale price with a reference price. If the reference is the MRP, it does not move when the selling price does. So if the selling price drifts up before the sale and then comes down, the badge still reads as a large cut against the MRP, even though the price ends up near or above where it began.
Nothing in that needs a villain. Prices on large marketplaces change with stock, competing sellers, supplier cost and automated repricing. A rise before a sale can be a deliberate move or ordinary movement that happened to come first. A price record shows what happened, not why. So this page describes a mechanism and a check. It does not accuse any store.
What should you compare?
Four numbers decide it. The badge is only the last one.
| What to compare | Where to find it | What it tells you |
|---|---|---|
| Price 30 days ago | Your screenshot, an earlier order, or a price-history view for that exact listing | The ordinary price before anything was moving. This is your benchmark. |
| Price a week before the sale | A screenshot or history view from the last 7 days | Whether the price climbed in the run-up. A higher figure here than 30 days ago is the signal. |
| Sale price | The cart, not just the listing, including delivery and checkout fees | What you would actually pay. |
| What the badge says | The percent-off on the listing | Only the gap to the reference price, usually the MRP. It says nothing about the weeks before. |
What does it look like in rupees?
The numbers below are made up to show the pattern. They are not from a real listing, and no real product or seller is meant.
| MRP | ₹9,999 |
| Typical price, weeks 4 to 2 before sale | ₹6,499 |
| Price in the 5 days before sale | ₹7,499 |
| Sale price, badge reads '40% off' | ₹5,999 |
| Real saving against the typical price | ₹500 (about 7.7%) |
Three percentages come from the same four prices:
- Against the MRP: (9,999 − 5,999) ÷ 9,999 = 40.0%. This is the badge.
- Against the price in the last few days: (7,499 − 5,999) ÷ 7,499 = 20.0%. A real drop from the last price you saw.
- Against the typical price: (6,499 − 5,999) ÷ 6,499 = about 7.7%. This is the saving that matters if you were willing to buy a month ago.
The badge is correct arithmetic. It is also the least useful of the three, because it ignores that the price climbed by ₹1,000 before it fell. If you wait for a normal price in a quiet week, you might pay ₹6,499. The sale price is lower than that, but nowhere near 40%.
Why does the last week matter most?
Most shoppers open a product page for the first time when the sale starts, so the only price they have to compare with is the crossed-out one. The price from three weeks earlier is the one that tells you what the item ordinarily costs, and the price from the last few days is the one that shows whether anything moved. Keep both in view. If the two are close, the sale price is a fair comparison. If the recent one is clearly higher, trust the older one.
How do I check a sale price by hand? A 6-step check
- Choose the exact item. Write down the model, size, colour, variant and seller. A different variant or seller often has its own price, and mixing them is how people think a price rose when it did not.
- Record the price today, with the date. Take a screenshot with the date and time visible. Note the MRP and the selling price separately.
- Repeat every few days. Two or three weeks gives you an ordinary price: the one that appears most often. Note the lowest as well.
- Look at the last week on its own. If the price is clearly higher in the final days than in the weeks before, you are seeing a run-up.
- On sale day, compare the cart price to the typical price, not to the MRP. Include delivery and any fee added at checkout. In September 2025, India's consumer regulator fined a company where the page said "MRP inclusive of all taxes" but extra GST was added at checkout, according to Prasar Bharati.
- Decide on need first. If the real saving is small and you do not need the item this week, wait. If you do need it, a small real saving is still a saving.
Amazon India has an in-app price history view, reported by Business Today in November 2025, with 30 and 90 day windows. Features change, so open a product in your own app to see what is available now. Where it is there, it can stand in for steps 2 to 4.
What does a one-day screenshot habit give you?
You do not need a tool to start. One screenshot a day of the five or ten items you are watching costs under a minute and gives you something a badge never will: your own dated record.
- A baseline. After a week you know the ordinary price and its normal wobble. A change of a few rupees is noise. A jump of ten percent or more stands out.
- A run-up check. If you shot the price a week before, you can see whether the days before the sale were higher.
- Proof of your own comparison. You are not relying on memory, and you are not relying on anyone's claim about what the price was.
It has limits. It covers only items you thought of in advance. It misses short price dips between shots. And it takes discipline for a few weeks. For a handful of items you care about, that is a fair trade.
What does independent data say?
Here we cite one source, and only as its own claim. PriceHistory.app, a price-history site, says it audited 325 products across two festive seasons (2024 and 2025), comparing the lowest sale price with each product's own recent selling price. It reports that 79% beat their pre-sale price and 19% were marked up beforehand. For Flipkart's Big Billion Days alone it reports 83% and 19% across 183 products, and for Amazon's Great Indian Festival 73% and 20% across 142 products.
We have not checked those figures, and they are not HAULS data. PriceHistory.app itself notes that figures are indicative, that very short flash sales may be missed, and that its audit uses actual selling prices, not the struck-through MRP, so it cannot confirm or rule out MRP inflation. Read it as one outside view: on its own numbers, most tracked products did get cheaper, and a minority were raised first. That is exactly why checking each item is worth doing.
A useful habit when you read any such audit: ask what window it called "before", how it defined "marked up", and whether it covers your category. A site that tracks phones may say nothing about shirts, and an average across many products does not tell you about the one in your cart.
What are the honest limits?
- You cannot see the past. Without an earlier record, no one can prove a pre-sale rise to you from the listing alone.
- A short history is a weak signal. Three days of data tells you much less than thirty.
- A rise is not proof of intent. Stock, supplier cost and repricing all move prices.
- Flash prices can be missed. A price that lasts an hour may never show in your screenshots.
- Your item may differ. A different seller, bundle or variant can have a different price history.
- We offer no legal conclusion. Whether a price display is misleading is for the regulator.
Where will HAULS fit?
HAULS is pre-launch. The browser extension does not exist yet, nothing is for sale and no payment is taken. When it launches, it is meant to show the prices it has observed for a product over time, so a sale price can be compared with the weeks before instead of with the MRP alone. A price it has not watched is meant to be marked unknown, never guessed.
Price History is planned to show the observed range on the product page. Honest Discounts is planned to apply the check above to a badge. Buy or Wait and Impulse Check are planned to help with the decision. Method details are on the methodology page.
HAULS has a commercial interest in this topic, and we would rather say so. For the tool landscape, see how to choose a price tracker in India. Store pages exist for the Amazon price tracker, Flipkart price tracker and Myntra price tracker. More explainers are in the guides. If you want to hear when the extension ships, join the waitlist.
How this page was checked
Last verified: 8 October 2026. PriceHistory.app figures were read from its own pages on that date and are reported as its claims. The regulator case comes from the Prasar Bharati report. The rupee example is illustrative and its arithmetic was checked. If anything here is out of date or wrong, tell us through the about page and we will correct it.
Sources & further reading
Keep reading
Discounts & DealsIs That Discount Real? How to Check Before You BuyA 50% discount tells you how today's price compares with the printed MRP. It doesn't tell you how today's price compares with what the product has actually sold for recently. Here's how to tell the difference.
Price IntelligenceDifference Between MRP and Selling Price, and How to Calculate Your Real DiscountA discount percentage is measured against two different numbers, MRP or recent selling price, and they can tell opposite stories. Here's the actual math, with worked examples across electronics, fashion, and groceries.