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ALTERNA CX · REDDIT LISTENING REPORT · 2026

Amazon deals are everywhere. Trust is harder to find.

Do shoppers still believe the discount on the screen? We analyzed more than a thousand Reddit comments about Amazon Prime Day and Prime Big Deal Days to understand how price claims, promotional pressure and shopper skepticism shape the deal experience. Both events are over, but they offer the clearest preview of how shoppers will read discounts this Black Friday.

53.9%
COMMENTS ABOUT PRODUCT PRICE
8.4%
OF PRICE COMMENTS ARE POSITIVE
The context

The real question is no longer “How much is it off?”

Amazon held two major sales events in 2026: Prime Day on June 23-26 and Prime Big Deal Days on October 6-7, the latter across 22 countries. Big retail events create a familiar rush: limited-time offers, prominent discount labels and the fear of missing a better price.

But a discount means something only when its comparison price is credible. The U.S. FTC's guidance on former-price comparisons explains why an authentic prior price matters. In the EU, price-reduction guidance sets the lowest price of the previous 30 days as the reference for announced price reductions.

These standards provide context, not proof of a violation. Our study examines what Reddit commenters said and how they felt, not whether individual Amazon listings were actually mispriced.

Why look back now?

The sales are over. The lessons arrive just in time.

01

The next test is weeks away. Black Friday (November 27) and Cyber Monday (November 30) will put crossed-out prices on almost every retail site. How shoppers judged Amazon's discounts is the best evidence of how they will judge yours.

02

Skepticism doesn't reset. In our data, the tone barely moved between June and October (oCX -20.4 vs. -22.8). Shoppers carry their doubts from one sale to the next, so the next event starts where this one ended.

03

The lesson isn't only about Amazon. Any retailer showing a discount faces the same question this season: is the reference price credible? Getting it right before the campaign is easier than repairing trust after it.

01 / The headline findings

Four signals behind the discount trust gap

Price is not just one topic among many. It is the lens through which many commenters judge the entire promotion.

53.9%
Price dominates the conversation

More than half of all comments carry the “Product Price” topic.

Nearly 4× the next topic, campaigns (13.9%)
76.6%
Campaign talk circles back to price

Three in four comments about campaigns also mention price.

vs. 50.2% of all other comments
8.4%
Price talk rarely turns positive

Fewer than one in ten price comments were classified as positive.

vs. 15.2% of all other comments
11.7%
Shoppers name their price-checking tools

Share of comments that name a price tracker, price history, Keepa or CamelCamelCamel.

Their tone is far calmer (see section 04)
How to read these numbers: Topic and sentiment labels come from Alterna CX's AI analysis. The 11.7% figure comes from a separate keyword scan of comment text, not an AI topic label. The comments are a discussion sample, not a representative survey of Amazon customers.
02 / What people talk about

The conversation is about price credibility

Most frequent experience topics

Share of all comments with each topic label

MULTI-LABEL
Product price
53.9%
Campaigns / promotions
13.9%
Service quality
7.7%
Product quality
5.8%
Delivery time
4.1%
A comment can carry more than one topic, so percentages should not be added together. 25.7% of comments received no topic label.
03 / Sentiment & emotion

Negative voices outweigh positive ones. But most comments are neutral.

The story is more nuanced than a single negative score. Price skepticism often shows up as comparisons, observations and advice, which automated sentiment classifies as neutral.

How the discussion feels

Sentiment across all analyzed comments

Negative 32.9%Neutral 55.1%Positive 11.5%Unclassified 0.5%
2.8×as many negative as positive comments, for an overall oCX of -24.4. This describes the sampled threads, not all shoppers.

Emotion markers

Share of all comments with each emotion label

Anger
24.5%
Joy
14.3%
Trust
12.9%
Sadness
6.6%
Disgust
5.8%
A comment can carry more than one emotion label, and 36.7% carry none. A “Trust” label does not by itself prove trust in Amazon.

Price comments vs. everything else

Negative vs. positive, among comments that take a side (neutral comments excluded)

NEUTRAL EXCLUDED
Price comments3.4 negative for every positive
All other comments2.5 negative for every positive
NegativePositive
Insight: When price comments take a side, they lean clearly negative: about 3.4 negative comments for every positive one, compared with 2.5 in the rest of the conversation. Most price talk stays neutral, but the share that does express a feeling rarely celebrates a deal.

Three months apart, the same skepticism

Comments around Prime Day (June 23-26) compared with comments around Prime Big Deal Days (October 6-7)

JUNE VS. OCTOBER
Prime DayJune threads
-20.4oCX
31.0%Negative
54.3%Mention price
Prime Big Deal DaysOctober threads
-22.8oCX
30.5%Negative
58.7%Mention price
Insight: The tone barely moved between the two events, while price took up slightly more of the October conversation. Skepticism did not reset with a new event: shoppers brought it with them.
04 / Beyond the percentage-off label

A recurring habit: verify the deal before buying

11.7%
OF COMMENTS EXPLICITLY MENTION PRICE HISTORY OR TRACKERS

For many commenters, a discount needs a second opinion.

Commenters describe checking historical prices, using trackers and comparing the sale price with the regular price. A keyword scan found these explicit mentions in 11.7% of comments, and 80.8% of them also carry the price topic. That is a lower bound for explicit mentions, not a measure of how many shoppers actually use price trackers.

Price checkers sound calmer

Comments that mention price history or trackers compared with all other comments

NEW FINDING
Mention price checking11.7% of comments
All other comments88.3% of comments
NegativeNeutralPositiveUnclassified
Negative16.7%vs. 35.1% elsewhere
Anger15.8%vs. 25.6% elsewhere
oCX-7.5vs. -26.7 elsewhere
Insight: Commenters who check price history are about half as likely to sound negative. Knowing the real price seems to turn frustration into calculation. This is an association, not proof of cause: many of these comments are tips and advice for other shoppers.
PATTERN 01

“What was the price last week?”

Commenters question whether the crossed-out price is the right comparison. Past purchase prices and price histories become their reference points.

PATTERN 02

“Is this worth buying now?”

Shoppers compare offers with prices at other retailers and sometimes decide not to buy when the savings are unclear.

PATTERN 03

“Is the urgency manufactured?”

Some commenters link timed drops and promotional labels to pressure to buy quickly, while others still describe finding worthwhile offers.

These patterns come from a qualitative reading of the comments and are not separately quantified topics. Individual statements reflect perceptions, not verified evidence of deceptive pricing.
05 / What the findings mean for CX

Where retail brands can rebuild deal credibility

Discounts create urgency. Trust comes when customers can understand the value without becoming their own pricing investigators.

01

Make the reference price easy to understand

Explain what the discount is compared against, including any relevant terms. A percentage without credible context invites skepticism.

02

Keep the promotion and checkout consistent

Make sure the offer, eligibility conditions and final price tell the same story across every channel.

03

Watch for skepticism, not only complaints

62.5% of price comments are neutral. Comparisons and doubts inside neutral comments reveal trust concerns that overall sentiment misses.

04

Track the emotional response to campaigns

Watch for rising anger, confusion and purchase hesitation around major events and specific offer mechanics.

05

Use customer language to prioritize fixes

Connect pricing feedback with campaign execution, product information, support and retention signals.

Bottom line

The markdown gets attention. The explanation earns trust.

When shoppers feel they need to verify every claim, how the sale is presented matters as much as the price itself.

From listening to action

See the trust signals behind every campaign with Alterna 3.0

Bring unstructured feedback together, identify the themes behind shifting sentiment and turn emerging friction points into prioritized actions.

First Glance

Spot emerging issues and unusual changes without digging through dashboards.

Alterna AI Assistant

Ask questions in plain language to explore why customer trust is changing.

Insights to action

Share findings with the right teams and help them prioritize corrective steps.

Research methodology & limitations

What the data can and cannot tell us

Source & coverage

More than 1,000 comments from public Reddit threads about Amazon Prime Day, Prime Big Deal Days and discount credibility, posted between March 13 and October 17, 2026. About 98.5% of comments are in English. Data snapshot: October 19, 2026.

Analysis

Sentiment, emotion, experience topics and the 0-10 comment score behind oCX were assigned by Alterna CX's AI models. oCX ranges from -100 to +100: the share of comments scored 9-10 minus the share scored 0-6. Labels can overlap, and shares are based on all comments unless stated otherwise.

Price-checking scan

Tracker and price-history mentions come from a case-insensitive keyword scan for Keepa, CamelCamelCamel, price tracker, price tracking and price history, including simple variants. It does not capture all comparison shopping.

Limitations

The threads were selected on purpose and often focus on skepticism. They do not represent Amazon customers, global consumers or actual purchases. Price histories, sale claims and alleged misconduct were not independently verified. Neutral sentiment is not evidence of brand trust.

Know what customers question before trust starts to slip.

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