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Grocery store loyalty programs promise savings but ChatGPT reveals how they can actually increase your spending.
Artificial intelligence broke down eight ways these programs work against your wallet and make you feel like you’re getting a deal.
base price trick
Some stores raise their regular prices and then offer “discounts” only to loyal members. ChatGPT said an item might have a base price of $5 and a loyalty price of $4. The discount only exists relative to an artificially high starting point.
You pay more overall because the increased non-member price is based on your expectations. $4 seems like a bargain, even though competitors can sell the same item for $3.50 without a subscription.
Locking the sale on the back of the card
Major chains like Kroger, Safeway and Publix require scanning a card or phone app to access weekly sales. ChatGPT said the savings don’t exist without a loyalty card, even if the product is the same.
This forces you to sign up for more programs, share personal data, and return to the store at promoted prices instead of shopping around.
spending limit game
Loyalty programs reward spending with points structures like one point per dollar or bonus points on select days. ChatGPT warns that this creates a psychology trap.
Offers like “Spend $40 this week and get $5 off next time” motivate you to reach for $40, even when you only need $25 worth of groceries. You simply purchase additional items or larger amounts to unlock rewards.
targeted manipulation
When you sign up with your phone number or email, the store knows what brands you buy, when you shop, and what deals you respond to. They send you tailored discounts on items you’ve already purchased.
ChatGPT compared this to dynamic pricing where companies use your data to influence decisions. Personalized offers skew your perception of price, even if total spending remains the same or increases.
Expiring promotions create urgency
Many loyalty deals expire within a few days. A coupon valid only this week puts pressure on you to make an immediate purchase. ChatGPT said this leads to buying things you wouldn’t otherwise buy, stocking up on things you don’t need, and losing savings if you go over your budget.
You think you are saving but your expenses increase.
unit price cheat
Some loyalty deals promote store brands or specific package sizes that seem cheap but cost more per ounce or pound than alternatives. ChatGPT gave an example where a loyalty deal is priced at $1.50 per box, but a competing wholesale brand is priced at $1.30 per box.
You think you got a deal but you actually paid more.
price anchoring psychology
Loyalty programs train buyers to believe that the selling price is the real price. This strengthens your sense of value and makes regular prices seem higher even when there is competition with other stores.
ChatGPT said this makes you more reliant on loyalty deals and less inclined to shop elsewhere for better baseline prices.
data is sold
Stores may share or sell your purchase data with brand advertisers and consumer analytics companies when you sign up for loyalty programs. ChatGPT explained that stores sometimes get paid to promote higher-margin items at the expense of actually lower-cost staples.
Your purchase history becomes a product that they monetize.
how to fight back
ChatGPT recommends always checking the price per ounce or pound rather than sticker prices. Don’t buy something just because it’s on sale. Buy it because you need it.
Use apps like Flipkart, Baskets or Instacart to compare prices at nearby stores before shopping. First set your budget, then use loyalty deals to stay within that budget.
If you’re uncomfortable with data tracking, shop at stores that don’t bind programs or pay cash without linking private information.
bottom line
ChatGPT said that loyalty programs do not inherently raise prices, but they hide the true cost of items, encourage more frequent and higher spending, increase psychological attachment to deals and hide real prices under promotions.
Savvy buyers look at unit prices, overall budget impact and real needs, rather than just deal labels.