Most outreach plans are built on a number somebody guessed. This one is built on a number the platform returns: the creator list attached to one specific product, pulled for the Thai market on 5 November 2026.
The product is an ฿11 underwear listing that has sold 2.8 million units and cleared ฿25.3 million in GMV. It is not a premium item, it is not a brand, and its creator list is not what a thirty-person brand expects to see when it opens one for the first time.
This is written for the apparel brand or agency running ten to fifty people in Thailand, already sending outreach, and still not sure whether the list it is sending to looks like the market. It covers what the top of the Thai product list is actually made of, what one product’s creator list contains, and what both mean for the next batch you send.
What the Thai market looks like from the product list
Pulling the Thai competitor product list sorted by units sold returns 538,590 products. The top ten is not a fashion story. It is tissue paper, face masks, seed packets, bin liners, sheet masks, underwear, soap, bread and a cleanser.
| Product | Price | Units sold | GMV |
|---|---|---|---|
| Tissue paper | ฿5 | 6.6M | ฿50.6M |
| Face mask | ฿5 | 5.5M | ฿14.8M |
| Bin liners | ฿10 | 3.2M | ฿56.9M |
| Underwear | ฿11 | 2.8M | ฿25.3M |
| Facial cleanser 300ml | ฿95 | 2.5M | ฿656.6M |
Two rows explain the whole market. The ฿5 face mask sold 5.5 million units and made ฿14.8 million; the ฿95 cleanser sold less than half as many units and made forty-four times the GMV. Volume and money are not the same leaderboard, and an apparel brand reading the units ranking for inspiration is reading about a business it is not in.
The ฿11 underwear row is the interesting one for apparel, because it sits at the crossing point: a real garment, a price low enough to be an impulse buy, and enough volume to build distribution on. That is why its creator list is worth opening.
Inside one product’s creator list
Opening the creator list for that listing returns twenty accounts per page, sorted by units sold, with follower counts and GMV bands attached to each. The follower distribution is the part nobody expects.
Seventeen of the twenty accounts have fewer than 15,000 followers. Three are above it, at roughly 25,000, 38,000 and 50,000. The smallest account on the page has 525 followers and shows a GMV band of ฿310,600 to ฿3,106,000. A 1,103-follower account sits in the ฿100,000 to ฿1,000,000 band. A 3,635-follower account sits above ฿1,000,000.
Read that again as a sender of outreach. The accounts generating this product’s volume are not the accounts a brand shortlists when it filters by follower tier. If the batch was built at “20,000 followers and up”, it selected the three rows that are least representative of how this product actually sells.
The industry mix is equally unhelpful as a filter. Alongside the expected womenswear and underwear accounts, the same list contains home supplies, household appliances, baby and maternity, phones and electronics, furniture, sports and outdoor, and one account whose main category is football content. A cheap, broadly useful garment travels across audiences that a category filter would exclude.
Why small accounts carry cheap volume
A ฿11 item does not need an audience of persuadable buyers. It needs a lot of small audiences seeing it once. The economics favour breadth: a 2,000-follower account that posts once and drives twenty orders is worth more, at this price, than a 200,000-follower account that posts once and drives two hundred — because the small account costs a sample and no fee negotiation.
That is the mechanism behind the follower distribution, and it is why copying the strategy without copying the price band fails. A ฿700 garment does not work this way: at that price the buyer needs a reason, and reasons come from accounts with enough reach to build one. The same roster applied to a premium SKU produces volume without margin.
There is also a quiet operational advantage. Small accounts reply faster, ask fewer questions, and accept a product-only deal. A team of ten to fifty people can run a hundred of them with the same effort it takes to run ten mid-tier negotiations, which matters when the whole strategy depends on throughput. That throughput only holds if the sample side is not manual: DAMI’s sample workspace clears requests from accounts that already meet preset conditions, so a hundred cheap approvals do not become a hundred small decisions.
What this changes about your outreach list
Three adjustments, in order of how much they change the outcome.
First, filter by whether an account has sold this category, not by follower band. The signal that predicted performance on this listing was participation, not size. DAMI’s creator filtering exposes sales history alongside follower count precisely so the two can be read separately rather than as one ranking. If you want to run that filter against your own category before the next batch, opening a DAMI account is faster than rebuilding the list by hand.
Second, widen the follower floor deliberately instead of inheriting a default. If the product’s price supports impulse purchase, a floor at 1,000 followers is rational; if it does not, a low floor will produce reach with no conversion. The floor should be a decision about price, not a habit.
Third, size the batch to the price. A cheap SKU justifies 100–200 contacts per round because the cost per contact is a sample; a premium SKU justifies twenty carefully negotiated ones. Both can be run in DAMI’s outreach setup with different group sizes, and the per-group limits are the same either way — what changes is how many groups you open.
One limit worth stating before this becomes a rule. The creator list attached to a product is the list the platform surfaces for it, not a census of everyone who has ever posted about it; treat the counts as a sample of who is currently attached, not as the total population. And GMV bands are ranges, so two accounts in the same band can differ by a factor of ten. The distribution is the finding, not the individual rows.
FAQ
Should I only invite creators with under 15,000 followers?
No. The distribution describes how this product sells, not a rule for yours. It is evidence that follower tier is a weak filter at a low price point, which is a different claim.
How many creators can one person realistically manage?
Around fifty active conversations at a time before replies start slipping, which is why batch size matters more than list size. The launch sizing model works through the arithmetic per price band.
Does this hold outside Thailand?
The follower distribution is market-specific; the mechanism — cheap items travel through small accounts — is not. Check your own category’s list before importing the pattern, because the price point that triggers it differs by market.
Open one product’s creator list in your own category this week and count how many accounts sit below your usual follower floor. That number is the size of the audience you have been filtering out. The workflow from the full database down to a shortlist covers how to rebuild a list around that count, and the DAMI workspace is where the product data and the creator list sit together, so the next batch is built from what sold rather than from what looks impressive.
