Market Expansion Report: BlankShirts.com

Prepared by Convexive | October 9, 2026

The finding in one line: BlankShirts advertises wholesale to the trade, which is going quiet in its reviews. Most buyers who name themselves now wear the clothes, and fit is their top complaint.

Based on 2,699 product reviews, 37 of the store's pages, three of its search ads, 11 rival home pages, Google's search data and six days of an intent data feed. How we did it is at the end.

BlankShirts sells blank clothing online. On October 7 and October 8, 2026, its page title, its home page text and the three search ads we read all used the word wholesale. The home page text named businesses, resale, screen printing and groups.

In its reviews, that trade has gone quiet. Review texts that state a business, a decoration job or a group fell from 75 to 23 between the 12 months to October 6, 2025 and the 12 months after. Texts that state a person who wears the clothes fell less, from 77 to 53.

So most buyers who name themselves now wear the clothes: 53 of the 78 texts in the last 12 months. Fit is their top complaint. Across all reviews, a fit miss comes with about half of the low ratings. The misses cluster on women's styles. There, about three fit answers in ten say the item runs small. On the other styles it is about one in twenty.

A review text states a buyer when the reviewer says who they are or what the clothes are for. A low rating means three stars or fewer. The label Our read marks our own interpretation. The store's pages were read on October 7, 2026. Search pages, Shopping pages and ads were read on October 8, 2026, and they change by day and place. The intent data feed was read on October 9, 2026.

What BlankShirts says, and what we found

Market 01: The trade

Status (our read): advertised to, and going quiet in the reviews.

Review signal. Of the 527 review texts that state a buyer or a use, 172 state a business or a decoration job and 80 state a group or an event. In three windows of 12 months each, the two together were in 52 texts, then 75, then 23. The last window ends on October 7, 2026.

All review texts fell too, from 643 to 396 in the last window, so part of the fall is fewer reviews of any kind.

What they praise. A business or a decorator praises how the blank takes decoration, in 68 of the 172. A group praises delivery speed, in 33 of the 80. Price is praised in 18 and in 17.

The search signal. On Google Trends, interest in the phrase "wholesale t shirts" in the United States fell 63% from 2021 to 2025, and "bulk t shirts" fell 44%. The phrase "blank t shirts" fell 11%. These are yearly averages of the index, pulled on October 8, 2026. Trends shows interest in a phrase. It does not show who searched or why.

Our read: two gaps between the pages and this buyer.

The first is the method. On October 7, 2026, the home page text named one decoration method, screen printing. In the reviews, vinyl, embroidery and sublimation are named in 101 texts and screen printing in 10. A print shop may review less often than a home maker, so this is a count of texts, not of shops.

The second is shipping. On the 11 rival home pages we read on October 7 and October 8, 2026, 7 stated a free shipping threshold, from $59 to $249. On the 37 BlankShirts pages we read on October 7, 2026, we found none. A 2024 reviewer who bought for a club writes: "The shipping fee is high, I have to pay 50+ dollars for a $600 purchase."

Who they are (sketches drawn from the reviews, not counts)

• The press-and-stitch maker. Works at home or in a small shop with a heat press, a cutting machine or an embroidery machine. Sells to customers. Asks one question of a blank: will my method hold on it.
• The event organizer. Buys for a team, a camp, a class or a family trip. Has a date. Praises the store when the box arrives early.

Ad angles in the buyers' own words

Angle 1: Takes vinyl, takes sublimation, takes a needle.

"Soft like cotton, takes sublimation really well, all of my customers have been very happy with these t-shirts" (2025)

"Love these shirts, they are very soft and vinyl sticks great on them." (2024)

"I use these to embroider on. They are high quality, for a great price. My end product looks very professional." (2025)

Angle 2: In stock by ten, shipped the same day. This angle repeats the store's own stated term. Its policy page said on October 7, 2026: "99% of all Orders ship same day for in stock items placed before 10am Pacific Time".

"I like the fact Blank Shirts ship the same day so I can tell customers that they will have their hoodie in one week!" (2024)

"We quickly needed some blank shirts for three girls volleyball teams. The ordering process was simple and we received them within a few days." (2025)

Positioning shift (our read): from wholesale blank shirts, to the blank that works with your method.

Market 02: The person who wears the clothes

Status (our read): most of the buyers who name themselves, and not named in the ads we read.

Review signal. A person who buys clothes to wear or to give is the stated buyer in 254 of the 527 texts. In the same three windows, wear was in 58 of 117 such texts, then 77 of 156, then 53 of 78.

Wear texts did not grow. They fell less than the trade texts did. Of the 78 texts in the last window, 74 come from incentivized reviews.

What the store's pages say to them. On October 7, 2026, the home page text named businesses and groups as buyers, and named no person who buys clothes to wear. One banner line on that page speaks to a wearer: "Keep warm and looking your best this season with a crewneck sweatshirt starting under $15." None of the three search ads we read on October 8, 2026 speaks to this buyer. All three came up on searches for the store's own name.

A second seller. We labeled 6,119 public store reviews of another blank clothing seller, from 2024, the same way. There, 232 texts state a wearer, 224 a business or a decoration job, and 66 a group or an event. So wearers are a large stated group in store reviews too. It is one seller and one year.

The search signal. Some reviewers say how they arrived: they wore a printed shirt, then searched for the brand. On Google Trends, the phrases "gildan t shirts" and "comfort colors t shirts" each stood above "wholesale t shirts" in 2024 and in 2025. The Comfort Colors phrase rose 93% from 2021 to 2025, and the Gildan phrase rose 10%. A decorator can search a brand too, so these phrases do not belong to wearers alone.

What they praise. Fit, in 97 of the 254. Businesses and decorators praise fit in 23 of the 172, and groups in 11 of the 80. Wearers praise price in 38.

Their top complaint. Fit is also the top complaint in the wear texts, in 39 of the 254. Garment quality is next, in 28.

The shipping minimum. The store's stated minimum for shipping and handling is $12.45. Its listing for one Gildan Heavy Cotton T-shirt showed $3.61 on Google Shopping on October 8, 2026. So on one shirt, the minimum is more than three times the shirt. The reviews do not say how many shirts a wearer buys, and one reviewer buys a dozen a year.

Two reviewers name the charge on a small order. One, in 2026: "I only bought two so I had to pay shipping." Another, in 2025, with four stars: "the shipping cost as much or more than the product itself and as a result, I will always look elsewhere before I order from this company again." Neither says who they are. These are two reviews.

Who they are (one reader tagged these in the 254 wear texts, so each count is approximate)

• The uniform of one. About 30 buy the clothes for a job: a welder, a construction worker, a man who wears a plain shirt under his work shirt.
• The hard-to-fit. About 22 state a big, tall, short or long body. One writes that shirts are hard to find in his size.
• The household buyer. A word search finds a husband in 24 of the wear texts and a child in 16.
• The label reader. About 12 first wore the garment as a printed item, then looked for the plain one.

Ad angles in the buyers' own words

Angle 1: The shirt your favorite shirt was printed on. Buy it plain.

"I bought a shirt from a band and they used this brand shirt. It was so comfortable I searched to find Next Level Apparel shirts and your website was the only one I could find where I could buy one or two shirts." (2025)

"I looked at the label and searched for the brand" (2025)

Angle 2: A dozen work shirts, one order.

"Every year I purchase a dozen of these shirts for work." (2021)

"I always wear these cotton long sleeve T-shirts as a base layer while welding at work." (2024)

Angle 3: Sizes that are hard to find.

"It's hard to find shirts for a guy my size, and these shirts did the job." (2024)

"Ordered big man 5xl polos for Husband to wear to work" (2024)

Positioning shift (our read): from wholesale prices for everyone, to the plain version of the clothes you already like.

Fit and the low ratings

The store's public reviews carry an answer to a fit question in 2,470 of the 2,699. The answers are the reviewers' own, not our labels.

• 2,150 say "True to fit", 197 say "Runs small" and 123 say "Runs large". So 320 report a fit miss, about one review in eight.
• A fit-miss review is a low rating 26.6% of the time (85 of 320). A "True to fit" review is a low rating 3.7% of the time (79 of 2,150).
• "Runs small" comes with the most low ratings: 68 of the 197.
• The feed holds 185 low ratings, and 164 of them carry a fit answer. Of the 164, 85 come with a fit miss.

The misses cluster on women's styles. On a women's style, 77 of the 264 fit answers say "Runs small". That is 29.2%. On all other styles it is 5.4%.

We do not know who wrote these reviews. It can be a woman who wears the shirt, or a decorator who buys for customers.

By year since 2020, that share runs from 13 of 32 to 11 of 18. In incentivized reviews, a fit-miss review is a low rating 22.1% of the time, against 2.8% for true to fit. In the other reviews it is 31.2% against 4.5%.

Wearers report a fit miss most often. They report one in 49 of 250 reviews. Businesses and decorators report 18 misses in their 164 answered reviews, and groups report 6 in 81.

Our read. A wearer tries the garment on, and a decorator often does not. So wearers may simply be the buyers who can judge fit.

Beyond women's styles, the misses are spread wide. 196 products have at least one fit miss. Among the 25 products with 15 or more fit answers, fit misses run from 8 of 34 on one style and 11 of 57 on another, down to 2 of 67 and 2 of 63.

What the store shows today. On the one product page we opened on October 8, 2026, the page showed a fit scale built from the answers, and each review showed its answer. That page gave no advice built on the answers, such as a note to order one size up.

What a miss costs the buyer. On October 7, 2026, the policy page said: "We do not offer direct exchanges. Instead, you must return the unwanted items and place a new order for the wanted items." The same page promised "a complimentary prepaid return shipping label". A new order is a new shipment. On the 37 pages we read that day, we found no exception to the $12.45 minimum for it.

Reviewers write it plainly. One, in 2024: "Be warned, these shirts run small. Order larger then you would normally purchase." Another, in 2022, with one star: "THIS IS THE SMALLEST 2XL I HAVE EVER SEEN."

Outside this store. A survey of clothing sellers points the same way. In a 2023 survey of 100 decision-makers at US apparel brands and retailers, size or fit was the top reason for returns of online orders, named by 53% (Coresight Research, April 4, 2023; the report was paid for by a maker of fit tools).

Our read. A fit miss and a low rating come from the same reviewer in the same review, so this is a link and not a proven cause. Only the store knows its returns.

Outside the reviews: the most-read shirt page that week

Reviews show who already bought. An intent data feed shows what people read. It is a commercial record of page visits on sites that carry ads, in the United States.

We asked it one question. In one week, which page about making or changing a shirt at home was read the most?

It was not a page about printing. It was a page that shows a woman how to cut a unisex T-shirt so it fits: shorter sleeves, a wider neck, a shorter hem. Its title promises "a More Feminine Fit".

That page drew 178 internet addresses in six days. Of the other 8 shirt pages on the chart, 6 name tie-dye.

Our read. This is the store's fit complaint, seen from outside the store. A woman who wants a plain shirt has two choices, and both can miss. The women's cut runs small. The unisex cut is straight, and she fixes it with scissors.

What the feed cannot say. It is one feed and six days. It counts internet addresses, not people. On the one day we checked, October 6, 2026, it held no visit to this store's own site.

The search page for its own name

We searched Google for the store's name five times on October 8, 2026, from five places in the United States.

• The question "Is blankshirts.com legit?" showed among the related questions in 3 of the 5.
• A page from another review site showed in 2 of the 5, with a rating of 2.15 from 7 reviews.
• Other sellers' ads showed in 2 of the 5. Their ads offered free shipping, same day shipping and free returns for 100 days.

On October 7, 2026, the store's public feed held 2,699 reviews. Their mean score is 4.74 by our count, 2,311 of them are five stars, and 1,296 of them are incentivized.

Our read. A business that has bought here for years does not ask if the store is real. A person buying one shirt from a store they do not know may ask.

Five moves, no new products

Each move is a test. Each names a number the store already holds.

Move 1: Open a front door for the wearer. One page and one ad group written to a person who wears the clothes, on the brand phrases above. Use the reviewers' words from Market 02. Measure orders of one to three pieces from those ads against the wholesale ad groups.

Move 2: Test how a small order is charged and shown. Show the shipping charge for one, two and three shirts on the product page, or test a different charge for a small order. Measure small orders started and finished.

Move 3: Test a threshold for the large order. Seven of the 11 rival home pages we read state one. Test free shipping above a set order value. Measure the share of orders above that value, before and after.

Move 4: Turn the fit answers into advice. Start with women's styles. The store's own answers can rank its styles by fit misses. On the styles with the highest share of "Runs small" answers, test a note to order one size up, and test a size exchange that ships as one order. Measure "Runs small" answers and low ratings on those styles.

Move 5: Speak to the maker by method. Sort blanks by what they take: vinyl, sublimation, embroidery and dye. On October 7, 2026, the blog tagged posts by method, and the menu on the home page had no entry for a method. Measure visits and orders from those pages.

What to watch

1. Does wear stay above half of the texts that state a buyer? Count the 12 months to October 2027. Here it is 53 of 78. Under 50%, the finding no longer holds.
2. Does the trade stay quiet? Count the texts that state a business, a decoration job or a group in the same 12 months. Here it is 23, after 75 the year before. Back above 50, it was one quiet year.
3. Does a fit miss still come with a low rating far more often? In the last 12 months a fit-miss review was a low rating 25.9% of the time, and a true-to-fit review 2.2%. If the first rate is under twice the second in the 12 months to October 2027, the link has weakened.
4. Does the wholesale phrase stay below the brand phrases? Compare the 2027 yearly averages on Google Trends. Here, in 2025, the Gildan phrase is at 51.0 and the wholesale phrase at 33.1 on one scale (Google Trends). If the wholesale phrase is back above the Gildan phrase, the turn has reversed.
5. Do women's styles still run small more often? Here, 29.2% of the fit answers on women's styles say "Runs small", and 5.4% on the other styles. If the first share is under twice the second in the 12 months to October 2027, the gap has closed.

Next step

We can run this study on your own store: your reviews, your pages, your ads and your market. To start, book a conversation with Convexive.

How we did this

The reviews. On October 7, 2026, we collected every review that the store's review system showed in public: 2,699 product reviews, written from August 2012 to that day. One buyer often posts the same text on several products, so we counted 2,481 different texts for anything about who buys. For the fit question we counted reviews, because each review answers for its own product.

The labels. A language model read every review and recorded what the reviewer states: who is buying, what the clothes are for, the praise and the complaints. The rule was to tag only what the reviewer states. In 527 of the 2,481 texts the reviewer states a buyer or a use. A wearer buys for themselves or for a named person. A group buys for a team, a school, a church or a family event. An AI reader then read those 527 in full, one at a time. A language model and an AI reader did the reading, not a person.

The windows. We compared three windows of 12 months each. The last one runs from October 7, 2025 to October 7, 2026.

The model test. Before this study we tested the model on 319 reviews of another seller that carry reference labels. Its buyer label agreed with the reference in 307 of the 319. It named a buyer or a use the reference did not have in 4 of the 260 reviews with none, and it missed one in 3 of the 59 reviews that have one.

The store's pages. We read 37 pages of the store's website on October 7, 2026, and one more product page in a browser on October 8.

The outside data. Apart from the intent data feed, all of it was read on October 8, 2026, except one rival home page read the day before. Google Trends for the United States from January 2021. Google search for the store's name, five times. Three of the store's search ads, which came up on those searches. Google Shopping for three styles, once each. The home pages of 11 other sellers, one read each. One published survey on returns. The second seller's reviews are public store reviews, collected in October 2026.

The intent data feed. A commercial feed of page visits on sites that carry ads, in the United States. We read it on October 9, 2026. It held six days of data, with visits dated October 1 to October 7, 2026. The first and the last of those days were not complete. We counted visits to pages whose address names a decoration method or a shirt project. We asked the feed for counts only: we took no email, no internet address and no record of a person from it.

In those six days, 4,217 internet addresses read such pages. An AI reader read, one at a time, the 39 page addresses that 15 or more internet addresses visited, and tagged each page from its address. Of these, 9 are about a plain garment. We opened the most-read of the 9 on October 9, 2026, to read its title.

Women's styles. A women's style is a product whose name says Women's, Ladies or Missy. The fit answers on those products are the reviewers' own.

The Shopping prices. A Shopping listing is one color and one size. The store's listing for its most reviewed shirt, which has 159 reviews, was a colored shirt in size L at $3.61. The like listing was a colored shirt in size L at another blank seller, at $2.65. On the two other styles we searched, another blank seller's listing was lower than the store's: $3.49 against $4.39, and $7.26 against $10.44. Colors and sizes differ across those listings. All of these are Google Shopping, one pull each.

Limitations of our approach

1. Counts, not buyers. Review counts are not customers or sales. Only the store knows its order mix.
2. Most texts name no buyer. Only 527 of the 2,481 do. In the last 12 months the base is 78 texts.
3. Product reviews. They are about the garment, and that favors reviewers who wear it. The second seller's store reviews are one check against this, from one seller and one year.
4. Incentivized reviews. The store's public feed marks 1,296 of the 2,699 reviews as incentivized, and 250 of the 264 from 2026. Of the review quotes in this report, 9 of the 16 come from reviews with that mark.
5. One pull. Each search page and each Shopping page was read once, on one day. Prices, ads and results change. A Shopping price leaves out quantity discounts.
6. Interest, not volume. Google Trends is an index of interest in a phrase. It does not count searches, and it does not say who searched.
7. Fit and low ratings. The link between a fit miss and a low rating is not a proven cause. Wearers may report more fit misses because they are the ones who try the garment on. A review of a women's style can come from a decorator, not from the woman who wears it.
8. One reader made the tags. The counts of about 30, about 22 and about 12 are approximate.
9. The pages are a sample. We read 37 of the store's pages and one home page for each of 11 rivals. We did not read text inside images. A store may state a shipping offer or size help on a page we did not read.
10. Sketches, angles and moves. The buyer sketches, the ad angles and the moves are our own writing. No ad and no move was tested.
11. The feed is a small window. One feed, six days, and sites that carry ads. An internet address is not a person. We tagged pages from their addresses and opened one of them. One page that many people read in one week is a signal, not a measure of a market.