Kynship Doubles New Customer Revenue For OMI Wellbeauty in First 4 Months

OMI Wellbeauty is a peptide-based hair and scalp care brand that launched in early 2025. Its first year ran on earned media, not paid. Beauty editors adopted it early, and Vogue named it a best beauty product of the year. The brand grew quickly off that coverage. It did not build the operations to scale.

Entering 2026, the mandate was to turn cultural traction into a business that grows predictably across D2C and Amazon.

The timing made that urgent. Peptides had become one of the few ingredients that dermatologists, editors, and consumers all agree on. Hair care was shifting toward the scalp as the source of hair health. Sephora was preparing to enter the category. The window was open, and it would not stay open long.

Where the business was

When Kynship first met OMI, the business was running at a small loss. QVC carried roughly 30% of total revenue and pulled the overall business close to break-even. The direct business lost money on its own.

OMI had spent nearly half its revenue on ads over the previous year. Topline revenue was starting to scale. Efficiency had deteriorated to get there, and CAC was climbing out of control.

OMI's biggest asset was retention. Recent-customer repeat rate averaged 125% over the trailing twelve months. Kynship's benchmark for brands with a subscription component is 100%.

That meant OMI could afford to pay more for a new customer than it realized. Kynship used its P&L audit to show stakeholders targets that would let the brand scale both efficiently and aggressively.

What the team was focused on

The stated goal for the year was break-even by December. The disagreement was about how to get there.

The founder had committed an investor target for D2C revenue at break-even that was several times the size of the current business. The CFO model behind it assumed ad spend would grow to more than four times the prior year, with blended efficiency holding at 1.0.

Kynship's position was that this could not work. Efficiency does not hold flat while spend multiplies. Every incremental dollar competes for a customer that better-capitalized competitors with stronger retention are also bidding on.

Kynship modeled 2.3x revenue growth on 2.2x spend, which took the brand close to break-even. OMI's own leadership had independently reached the same realistic case. That settled the internal debate.

The forecast conversation mattered more than the media plan. The engagement started by agreeing on what the business could actually support, before any creative shipped.

What the audit found in the account

Kynship treats P&L audits and financial forecasting as the foundation of the work. That discipline is what lets us grow clients aggressively without breaking them.

Here's what the audit of OMI's ad account found.

• Creative volume was too low for the spend, and the library was being pruned by hand. Ads were manually turned off about six times a month, and fourteen times a month on the highest-spending campaign. Every one of those actions resets optimization.
• Two bid strategies were competing in the same auction. Highest-volume and cost-per-result campaigns ran at the same time against the same inventory. The guaranteed-spend campaigns won first position, and the cost-controlled campaigns got what was left. The cost-controlled campaigns looked like they were failing. They were being starved.
• Daily budgets were capping delivery. The highest-spending campaign hit its full daily budget the day before the audit. When the budget is the constraint instead of the bid, the algorithm can't spend into demand it has already found.
• Ad sets were split by persona. Menopause creative sat in one ad set and stress creative in another, all driving to the same product page. That fragments signal across ad sets instead of letting Meta match creative to person inside one pool.
• Spend was reaching existing customers. In February, a meaningful share of spend went to audiences made up of current or past customers. With a repeat rate that strong, OMI had no reason to pay to acquire them twice.
• Branded search was contaminating non-brand data. Branded terms bled into non-brand campaigns. That inflated non-brand performance and made scaling decisions unreliable. Imported customer lists were never applied to campaign- or account-level bidding.

Each of these problems is structural and fixable. Together they meant the account couldn't tell the team what was working. That is why scaling spend had cost efficiency instead of compounding it.

Kynship also graded the account's creative diversity at takeover. The balance of video and static was healthy. The account was under-indexed on product-forward content.

Here's what Kynship did to more than double OMI's new customer revenue in four months while improving efficiency.

1. Cost controls, then creative volume and diversity

None of the creative volume is safe without a financial guardrail underneath it, so the guardrail came first.

Kynship runs every account on cost controls. Each ad carries a bid ceiling tied to what OMI can afford to pay for a customer. The bid governs spend, not the budget. That resolved two audit findings at once:

• Kynship consolidated the two competing bid strategies onto one.
• Budgets were set deliberately high, so the daily cap is never what stops a good day.

The bid level came out of the retention work. With a 125% repeat rate, OMI could afford customers that first-order math called too expensive. A brand with strong retention that bids like a brand without it loses every auction that matters.

Cost controls also change what testing costs. On a budget-based structure, launching hundreds of ads spreads spend across hundreds of ads, and you pay to discover the few that work. Under cost controls, ads that can't deliver at target stop spending on their own, and ads that can deliver absorb more. Volume stops being a risk and becomes the point.

Volume without diversity is redundancy at scale.

Most brands think they are diversifying when they are iterating. They take the best-performing static and swap the color. They take the best testimonial and swap the text overlay. Those look like different ads to a person. To Meta they are the same. If roughly 70% of a creative is unchanged, the auction reads it as the same asset, and the account builds up fatigue instead of reach.

Real diversity means a different message, a different style, and multiple formats. The goal is an ad for everybody, both for the person scrolling and inside the auction.

Kynship grades diversity on two axes at takeover:

• Static versus video.
• Product-forward versus human-forward: whether the product or the person is the hero of the shot.

The working benchmark is a roughly even split between product and human, with a slight lean toward video. That grade is a diagnostic, not a target. It runs once, shows where the easy wins are, and is then retired. Forcing an account toward a benchmark split would contradict the approach, which is to let spend decide direction.

Supplying diversity at volume takes more than one source. Kynship ran influencer seeding for OMI. Each month we gifted product to new micro-influencers with no strings attached and no script, then secured usage rights to what they made. Having no brief is deliberate. Detailed parameters produce fifty versions of the same video. Open-ended gifting produces unboxings, tutorials, testimonials, and formats nobody would have thought to specify.

2. Creative publishing cadence

Kynship shipped new creative into the account every one to two weeks from launch onward.

Tactically, the account never runs out of fresh creative to test against ads that are fatiguing. By the time an April ad shows frequency fatigue, June's batch is already live.

Strategically, continuous testing means there is always enough signal to make a budget decision. The team doesn't wait on a quarterly refresh to explain what happened.

3. Volume converted into concentration

Volume is the input. Concentration is the output.

April was the pivot. The largest single batch of the program launched on 4/29 and nearly doubled testing volume in one month. Almost none of it had earned meaningful spend by month-end, which is why winner rate fell to 2.7%.

From there the account behaved the way a healthy testing pipeline should:

• Total ads in market fell every month after the April spike, ending July 31% below the peak. Ads that couldn't deliver at target stopped earning delivery.
• Winners grew every month.

By July, the account was funding 80% more creative at scale than in the month before Kynship took over. Winner rate reached 9.6%, the highest of the program.

That concentration is the mechanical reason efficiency and profitability recovered together. More and more of the same total spend flowed through a proven pool of ads instead of being spread across untested variants.

4. The creative behind the scale

Meta sends spend toward the ads it is most confident will convert. So the ads carrying the most spend are the ones that both the delivery system and the testing process have validated.

These are the highest-spending ads created in the account since April 9. Share of spend is measured within this group of twelve.

Three format families are funded at scale here, and each earns its budget differently:

• Celebrity ads take the largest share of spend.
• Founder ads lead nearly every attention metric: the highest hook rate in the group, the second-longest watch time, and a CTR more than double most of the account. They return close to 0.9 on first order.
• Offer-led ads have the weakest attention metrics in the group and some of the strongest first-order returns.

If the account optimized all three against one metric, the spend allocation would collapse.

Most of these ads return under 1.0 on first order. That is the plan working, not failing. With a 125% repeat rate, OMI earns its margin on the second and third order. The bid ceilings were set against that full customer value, not the first purchase alone.

5. Landing pages

New creative only pays off if the traffic converts once it lands. Alongside the creative work, Kynship recommended that OMI build new landing page infrastructure.

OMI's team executed. In May they launched several new pages and a dynamic, quiz-based funnel.

Within months of launch, the quiz funnel had become the fifth-largest destination for paid traffic, with a ROAS near the top of the range.

Under cost controls, that allocation isn't a media plan decision. Meta routes traffic to wherever it can acquire customers at target, and it moved a meaningful share of traffic onto pages that didn't exist before May.

• ‍New customer revenue grew 144% in four months, faster than the spend behind it.
• Efficiency improved while spend scaled. aMER rose from 1.19 to 1.31, above the 1.25 target.
• The business turned profitable, with its first profitable month in August 2026.
• Ad spend grew 121%, reaching the year's monthly spend goal in four months.
• Creative funded at scale grew 80%, and winner rate hit a program high of 9.6%.

Spend peaked in July and eased off in August. New customer revenue kept climbing. That gap is where the profit came from.

Forecast versus actual

The spend plan landed almost exactly as modeled, and the account reached the year's monthly spend goal in four months.

Efficiency beat the forecast. The CFO plan assumed 1.0 blended. Kynship set the target at 1.25, and the account ran 1.31 in August.

The plan called for approaching break-even around month twelve. OMI posted a profit in month five. The forecast was built to be conservative, and the account beat it in all the ways that matter.

OMI more than doubled monthly new customer revenue in four months. Efficiency improved while it did, and the business went from unprofitable to profitable seven months ahead of plan.

The growth came from three things:

• ad targets set from the P&L
• a creative pipeline built for volume and diversity, running under cost controls
• a landing page overhaul that gave paid traffic somewhere better to go

DTC growth doesn't start in the ad account. It starts with the numbers the business can support, and then the media plan is built backward from them.

Kynship helps DTC ecommerce brands between $2M–$100M break through growth plateaus by reverse engineering from both top and bottom line goals, building scalable creative systems, and driving new customer growth profitably. If you’d like help growing your brand efficiently this year, fill out the form below