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How Many Formula Revisions Are Normal Before Approval?

If you've just received your second or third sample round and it still isn't quite right, you're probably wondering whether that's normal or a sign something has gone wrong. There'

OEditorial: OEM Thailand· 4 min read
How Many Formula Revisions Are Normal Before Approval?

If you've just received your second or third sample round and it still isn't quite right, you're probably wondering whether that's normal or a sign something has gone wrong. There's no fixed number written into any contract — but there is a predictable pattern to how formula development actually unfolds, and knowing it helps you judge whether your project is on track or stuck.

Why there's no fixed number of revisions

Contract manufacturers don't quote a revision count upfront because the number depends entirely on how specific your brief was, how complex the formula is, and how fast feedback moves between you and the lab chemist. A simple single-function moisturizer with a clear reference sample usually settles faster than a multi-active serum, a fragrance blend meant to match a discontinued product, or a supplement with specific actives and taste requirements. Rather than promising '2 rounds' or '5 rounds', a responsible manufacturer will explain what drives the count in your specific case and let the process confirm it round by round.

What typically happens round by round

The first sample usually reflects the brief as written — texture, scent direction, color, basic performance. This is rarely final; it's a starting point to react to. The second round adjusts based on your written feedback: thickening or thinning a texture, dialing fragrance intensity up or down, correcting color, tweaking pH or spreadability. By the third round, most formulas are converging on approval, with changes becoming smaller and more specific — a slight stickiness, a faster absorption, a less overpowering scent. If you're still requesting major changes past this point, it's worth asking whether the original brief was clear enough, or whether new requirements are being added mid-process.

What typically happens round by round — how many formula revisions are normal before approval

What pushes the revision count higher than expected

A few patterns reliably add rounds: vague or shifting briefs ('make it feel more premium' without defining what that means in texture or scent terms), feedback from multiple internal stakeholders arriving in separate, sometimes contradictory batches, chasing a specific reference product without providing it early, or adding new requirements (a new claim, a new active, a different packaging interaction) partway through. None of these are failures — they're just things that add time, and recognizing them early lets you tighten the process rather than keep cycling.

What you can do to keep revisions efficient

The brands that reach approval fastest tend to do a few things consistently: they provide a reference sample or very specific sensory description before round one, they consolidate internal feedback into one clear document before sending it back, they prioritize which attributes actually matter (texture over fragrance, or vice versa) instead of flagging everything at once, and they test samples under realistic conditions — on skin, over a few days, not just a quick sniff test in the office. Clear, consolidated feedback is consistently the single biggest factor in reducing revision count, more than formula complexity itself.

What you can do to keep revisions efficient — how many formula revisions are normal before approval

When to approve versus when to keep pushing

At some point a formula is 'good enough to launch' even if it isn't theoretically perfect — and knowing where that line sits matters as much as the revisions themselves. If remaining feedback is about personal preference rather than a functional or sensory flaw, that's usually a signal to approve and move to production. If the issue affects how the product performs, feels unsafe, or contradicts your label claims, that's worth another round. A good manufacturing partner will tell you plainly which category your feedback falls into rather than just running another round by default.

How this fits into your overall timeline

Revisions are one of the few parts of the timeline largely in your control — unlike regulatory review or production scheduling, which depend on external bodies and factory queues. Because of this, the exact number of rounds and how long each takes is confirmed as the project progresses rather than promised at the outset. Mentioning your target launch date early lets the formulation team flag if your feedback pace is likely to put that date at risk.

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FAQ

Frequently asked questions

Is it normal to need more than 3 formula revisions?

Yes, particularly for complex formulas, fragrance-matching projects, or products with multiple active ingredients. What matters more than the count is whether each round is converging — later rounds should involve smaller, more specific adjustments, not repeated major changes.

Does every revision round cost extra?

Policies vary by manufacturer and by how many rounds are included in the initial arrangement. This is worth clarifying early in the conversation rather than assuming; costs and terms are confirmed at quoting stage, specific to your product and order.

Can I speed up the revision process?

Providing a clear reference sample, consolidating feedback from all internal stakeholders into one document, and prioritizing which attributes matter most are the most effective ways to reduce rounds. Scattered, sequential feedback from different people is one of the most common causes of delay.

What if I keep rejecting samples and can't explain why?

This usually signals the brief itself needs revisiting rather than the formula. A short call with the chemist to pin down specific, describable attributes (viscosity, absorption speed, scent strength, finish) is usually more productive than another unguided round.

Prepared by the OEM Thailand team for informational purposes. Some links may lead to referred partners.

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