214 Applications, 12 Invitations, Opposite Outcomes
Two sellers in the same category listed the same product on TikTok Shop in the same month. The first put it on an open plan and collected 214 creator applications. The second invited 12 creators to a targeted plan and got 9 acceptances. On application count, the first seller won by a factor of eighteen. On credited GMV, the second seller won roughly three to one.
Now flip it. A different brand with a seasonal home product ran the mirror experiment. The open plan produced the month. The targeted plan produced almost nothing. Neither seller did anything wrong. They were running different catalogs, and the two collaboration types reward different conditions.
This is written for the seller running a US shop plus at least one Southeast Asian one. You carry 10 to 50 SKUs and you are deciding how to split a limited sample and commission budget between two collaboration types. Most sellers pick one and defend it for years. That is the actual mistake, and it is not the choice itself. It is treating the choice as one that holds across a whole catalog.
What Each Plan Actually Is
Both plans are easy to describe and easy to misunderstand. That is because most explanations talk about commission rates instead of talking about who holds the decision.
Open plan. You publish a product at a commission rate. Any eligible creator can find it, apply, and promote without a personal invitation. The creator chooses you. Your control sits in the rate, the product availability, and whether you approve requests.
Targeted plan. You invite specific creators by handle to promote specific products, at terms you set. The creator still chooses whether to accept. The difference is that you chose whom to ask. Volume is capped by how many invitations your market lets you hold open at once.
| Open plan | Targeted plan | |
|---|---|---|
| Who selects the creator | The creator selects you | You select the creator |
| Typical volume | High, unpredictable | Low, deliberate |
| Commission pressure | Rate has to compete visibly | Terms can be set per creator |
| Sample cost exposure | Hard to predict, often higher | Controllable, tied to accepted invitations |
| Best fit | Broad demand, clear search terms | Negotiable margin, known creator fit |
| Main failure mode | Weak applications dilute the rate | Invite ceiling forces painful triage |
The Real Difference Is Who Does the Choosing
Sellers keep comparing the two on commission percentage. That is the least interesting axis. A 15% open plan and a 15% targeted plan are not comparable offers, because the filtering work sits in a completely different place.
On an open plan, filtering happens after the creator has decided to promote you. You find out who is promoting by watching results. By then the sample has shipped and the content exists. Your correction is retrospective: change the rate, pull the product, or block a creator after the fact.
On a targeted plan, filtering happens before anyone promotes anything. You are the filter. That means your hit rate is bounded by the quality of your shortlist, not by platform volume. It also explains why the two plans fail in opposite directions when selection is bad.
A Bangkok brand manager put it plainly. “Open plan gave us reach we could not screen. Targeted plan gave us screening and no reach. We kept trying to pick one, and we needed both.” Their fix was not to choose. It was to split the catalog.
When the Open Plan Wins
The open plan pays when the product explains itself and the audience can find it without being pointed.
When search demand already exists. If buyers are typing the category into TikTok search, an open plan product gets found by creators chasing that same demand. The plan supplies distribution to demand that is already there.
When the product is cheap enough to sample at volume. Low unit cost makes a high application count tolerable. You can afford for eight of ten promoting creators to be mediocre.
When you do not yet know the category’s creators. An open plan is a discovery instrument wearing the costume of a sales channel. The application list tells you who is active in your category. That often includes creators no tool would have surfaced for you.
The limit is real. Open plans reward products with clear intent. They punish products that need explanation. A product requiring a demo or a fit explanation will draw applications from creators who do not understand it, and the content will underperform for reasons unrelated to ability.
When the Targeted Plan Wins
The targeted plan pays when the bottleneck is fit rather than reach.
When the product needs a demonstration. Anything whose value shows up only in use benefits from a creator chosen because their existing content already shows that use. That covers tools, devices, and garments with unusual sizing.
When margin supports per-creator terms. Targeted plans let you set a rate reflecting actual contribution. On an open plan everyone sees the same number, and cutting a rate for a small creator is not possible without changing the plan.
When sample cost is the binding constraint. If each sample is real money, sending twelve to creators you selected beats approving eighty applications you did not.
When you already have a shortlist. Targeted plans are the execution arm for work you have already done. Without a shortlist, a targeted plan is an open plan with worse reach. DAMI’s creator database is where that shortlist lives before it turns into an invitation list, which is why the two belong in the same workspace rather than in a spreadsheet and an inbox.
The Invite Ceiling and What It Forces
Targeted plans are capped. The exact number of concurrent invitations varies by market and by account, and it changes over time. Any figure quoted here would be wrong within months, so check your own affiliate module before planning around it. What does not change is the consequence. The ceiling forces triage.
Three operating rules follow once you accept the cap.
Never fill the last slot with a marginal creator. That creator occupies a slot a better fit could use next week. Leave it empty.
Track acceptance rate, not invitation count. A 20% acceptance rate means your shortlist is wrong, not that creators are rude. Most of the time it means the offer read as a mass message.
Recycle rejections deliberately. A creator who declines is information. If three in a row decline for the same stated reason, that reason is your real problem. It is very rarely the commission rate.
Running Both Without Corrupting Your Numbers
Most catalogs should run both. Put open plans on the two or three products with obvious demand and targeted plans on everything else. Trouble starts when you compare the two afterwards, because both produce orders that land in the same reports with no field naming the plan.
Tag at the product level rather than the creator level. Keep open-plan products in one category grouping and targeted-plan products in another. That way export rows can be separated later. Without separation, you will attribute a targeted-plan win to whatever open plan happened to be running that week.
This is where the invite ceiling stops being an administrative detail and becomes a data problem. Tracking which creators sit on which plan, which invitations remain open, and which products are live takes bookkeeping that goes wrong quickly in a spreadsheet. DAMI’s targeted plan module keeps that state in one place rather than in a shared sheet. The alternative reliably produces double invitations and stale listings. Whatever tool you use, the requirement is the same: one source of truth for plan state.
The Split Is Not Fixed for the Year
The ratio between the two plans should move, and the sellers who get this wrong treat last quarter’s split as this quarter’s plan.
Open plan share should expand when you add products with obvious demand, when you enter a market where you do not yet know the creators, and when your sample budget grows faster than your shortlist. It should contract when margin tightens, when a product needs demonstration, or when your open plan is producing applications from creators whose content does not fit.
Review the split once a quarter, and review it against this question: which products did we put on an open plan that needed a person to explain them? That question catches more bad allocation than any dashboard will. DAMI’s plan management keeps both lists visible in one view, so the quarterly review does not start with two exports and a manual comparison.
Where the Data Gets Ambiguous
Two situations produce numbers that cannot be compared, and both are common in the first quarter of running both plans.
A creator on an open plan who was also invited. If a creator finds the open plan product and promotes it while a targeted invitation is pending, the order can land under either relationship. The commission may resolve correctly and the attribution will not.
A product that moved between plans mid-cycle. Orders before and after the switch sit in the same report with no field recording when the change happened. Put the switch date in your own notes. Without it, month-over-month comparisons on that product are meaningless, and teams routinely read a plan change as a performance change.
Frequently Asked Questions
Can a creator be on both an open plan and a targeted plan for the same product? Usually not for the same product at the same time. Forcing it creates commission ambiguity that is not worth the upside. Run different products on different plans instead. If you truly need one creator on both, put the second product on the other plan.
Does the open plan rate have to be competitive with the category? Visibly, yes, because creators compare. But a high rate on a product nobody wants still produces no sales. Raising the rate buys application volume. Product quality buys conversion. Fix the product before touching the rate.
Is a targeted plan always better for high-ticket products? Usually, but the reason matters. High-ticket products need explanation, and explanation needs a creator whose content already does that explaining. If you cannot name three such creators, your targeted plan will underperform an open plan. A shortlist is the precondition, not the output.
What happens to invitations that are never accepted? They occupy a slot until they expire or you withdraw them. Withdraw stale invitations deliberately. An unmanaged queue is how teams end up believing the ceiling is lower than it actually is.
Should new sellers start with an open plan? Yes for the first month, but not to make sales. Use the first month to learn which creators are active in your category and which product phrasing draws them. Then build targeted plans with that knowledge. Selling is the second objective of that month, not the first.
Pick by Product, Not by Preference
Both experiments came out opposite because the sellers ran different catalogs. The 214-application product had obvious search demand and a low unit cost. The 12-invitation product needed a demonstration and cost real money per sample. Each seller did the right thing for their product, and each would have done the wrong thing for the other’s.
So stop asking which plan works. Ask which products in your catalog explain themselves. Put those on an open plan and spend your invitation ceiling on the ones that need a person to make the case. That split is the whole strategy, and it is a catalog decision rather than a platform one.
If you are still setting the rate itself, the commission benchmarks by category show where rates actually sit before you commit to either plan. See how the DAMI workspace tracks open and targeted plans side by side on the product page, or create your account and split your own catalog this week.
