$228,229 in Revenue.
$6,108 in Ad Spend.
Over six months, a premium hair brand generated over $228,000 in tracked revenue across paid ads and email and SMS marketing — spending just over $6,100 on ads, at a cost per purchase 76% below the industry average.
Impact Overview
Across paid ads, email flows, and SMS campaigns over 6 months
Every dollar spent on ads returned $23.61 in tracked purchases
vs. $69 industry benchmark for luxury hair — 76% lower
From $6,108.52 in total ad spend across 5 campaigns
No additional ad spend — driven entirely from the subscriber list
529,320 impressions · 21,069 clicks · 6,870 adds to cart
$59,441.98 from email vs. $24,542.38 from SMS
Across automated flows and broadcast campaigns
February 2026 snapshot: In a single month, the brand generated $30,473.02 in revenue while spending just $2,083.10 in total across ads, email marketing, and the monthly service fee — a return of $14.63 for every dollar spent.
Revenue and ROI Breakdown
Paid ads on Facebook and Instagram drove $144,245.48 in purchases from a total spend of $6,108.52. That is a return of 23.61× — meaning for every dollar put into advertising, the brand recovered nearly $24 in sales.
The industry average cost per purchase for luxury hair brands sits at approximately $69.31. This brand averaged $16.64 — a difference that compounds significantly at scale. At 367 purchases, that gap saved roughly $19,300 compared to what competitors typically spend to achieve the same volume.
Email and SMS marketing through Klaviyo added another $83,984.36 in revenue that cost nothing in ad spend to generate. This came entirely from people already on the brand’s list — people who had bought before, browsed without purchasing, or signed up for updates.
Together, the two channels produced a combined total of over $228,000 in tracked revenue over six months. The efficiency of paid ads brought in new buyers at low cost; email and SMS converted and retained them.
Warm audiences drove the strongest returns. Remarketing ad sets — shown to past website visitors and recent engagers — outperformed cold prospecting on cost per purchase. The top-performing remarketing set averaged $9.65 per purchase compared to $21.94 for the lookalike prospecting set. BFCM-specific retargeting produced the single lowest CPP in the campaign mix at $5.14.
Cart abandonment behavior also contributed meaningfully to revenue. Across the reporting period, 6,870 add-to-cart events were recorded against 367 completed purchases from ads — a ratio that indicates significant intent from non-converting visitors. Automated email and SMS flows recovered a substantial portion of those abandoned sessions.
Offer Strategy Analysis
The brand ran five distinct ad campaigns over six months, each structured around a clear purchase incentive. Rather than running ads to a generic product page, every campaign was built around a time-limited reason to buy — seasonal sales, Black Friday pricing, and bundle deals.
| Campaign | Ad Spend | Purchases | CPP | Revenue |
|---|---|---|---|---|
| SJM – Sales – 10.16.25 – Copy | $2,601.69 | 169 | $15.39 | $69,876.72 |
| BFCM | $477.82 | 93 | $5.14 | $36,563.04 |
| SJM – Sales – 10.16.25 | $2,508.35 | 73 | $34.36 | $26,700.46 |
| SJM – Holiday Sales – 12.21.25 | $464.63 | 31 | $14.99 | $10,716.47 |
| BFCM VIP – 11.22.25 | $56.03 | 1 | $56.03 | $388.79 |
The BFCM campaign is the clearest example of offer-driven performance. With only $477.82 in spend, it generated $36,563 in sales at $5.14 per purchase — more than 13× below the industry average. Black Friday urgency, combined with warm remarketing audiences, collapsed the hesitation cycle that typically inflates cost per purchase for premium products.
The core mechanic here is not complexity — it is timing and clarity. Shoppers who already knew the brand were shown a specific, limited-time price on a product they had already viewed. No ambiguity about the offer. No friction between the ad and the checkout. The offer did the work that extended persuasion copy usually has to.
Bundle positioning, used across several ad creatives, also played a role. Presenting products as a packaged deal — rather than single units — increases average order value without requiring a separate upsell sequence. It reduces the decision to a single yes or no, which is consistently easier for customers to act on.
Channel Breakdown
The primary acquisition channel. Ads reached 529,320 people and drove 367 purchases at $16.64 each. Facebook Feed and Instagram Feed accounted for 275 of those 367 purchases — the highest-volume placements by a wide margin. Remarketing to past visitors consistently outperformed cold prospecting on efficiency.
Email was the highest-revenue Klaviyo channel at 70.78% of total Klaviyo revenue. Automated flows accounted for the bulk of this — recovering revenue from new subscribers, cart abandoners, and browsers who left without purchasing. Campaigns (one-time sends) contributed roughly half of total Klaviyo revenue at $42,456.
SMS contributed $24,542.38 — nearly 30% of all Klaviyo revenue — with a smaller subscriber list than email. SMS messages tend to carry higher open and response rates than email, making them effective for time-sensitive promotions and product launch announcements where immediacy matters.
These channels did not operate in isolation. Paid ads introduced new buyers. Email captured those buyers into automated sequences before they could go cold. SMS reinforced promotions with higher-urgency delivery. A shopper might have seen an ad, received a welcome email with a discount, ignored it, then converted after receiving an SMS campaign two weeks later. The combined attribution tells only part of the story — the full value is in the sequence.
| Automated Flow | Recipients | Conversions | Click Rate | Revenue |
|---|---|---|---|---|
| Welcome Series (with offer) | 5,224 | 30 | 4.86% | $15,706.81 |
| Abandoned Cart Flow | 3,292 | 34 | 3.00% | $12,996.75 |
| Browse Abandonment | 6,002 | 21 | 1.18% | $7,398.13 |
| Abandoned Cart Flow – BF | 856 | 14 | 4.54% | $5,425.78 |
Creative Insights
The best-performing ad in the entire period was a short video of a body wave texture, shown to remarketing audiences — people who had already visited the site. It spent $423.98, generated 48 purchases, and returned $21,387.36 at $8.83 per purchase. That is not an accident. Here is what made it work — and what the broader creative data confirms.
The top 10 ads by purchases were almost entirely product videos and static flyers showing the hair texture directly. Aspirational or lifestyle-oriented creative ranked lower. For a high-consideration purchase like premium hair, showing the product clearly — texture, movement, finish — drives more decisions than showing a model in an unrelated setting.
BFCM flyers and sale-specific creative consistently produced the lowest cost per purchase in the mix. Flyer 4 and Flyer 2 each generated 18 purchases at $5.85 and $4.34 respectively — well below the campaign average. The format was simple: the offer, the product, a deadline. No extended copywriting needed.
Remarketing ad sets — targeting people who had already visited the website or engaged with the brand — delivered lower CPP than lookalike or broad audiences in nearly every campaign. The LLA (Lookalike Audience) states-based sets averaged $21.94 per purchase; remarketing averaged $9.65. Spending more budget against warm audiences would likely compress CPP further.
Body wave, straight bundle, deep wave, and tight curly content all appeared in the top-performing ad list. Spreading creative across textures captured buyers at different purchase intent levels and prevented any single ad from fatiguing. Flyer formats and video both worked — the deciding factor was the offer clarity, not the format.
Lessons for Other Brands
- Spend less on cold audiences, more on warm ones. Remarketing audiences returned $9.65 per purchase versus $21.94 for lookalikes. If your budget is limited, prioritize people who already know your brand before trying to reach people who do not.
- Automated email flows should be live before you run ads. The Welcome Series alone generated $15,706 in revenue over the period — from people who clicked an ad, subscribed, and converted through email before ever buying from a retargeting ad. Without the flow in place, that revenue would have been left behind.
- A clear, time-limited offer will outperform polished creative with no urgency. The BFCM campaign spent $477 and returned $36,563. The Holiday Sale campaign spent $464 and returned $10,716. Both used straightforward, offer-first messaging. Creativity is not the performance lever — the offer is.
- Browse abandonment is often underleveraged. The Browse Abandonment flow reached 6,002 people who visited the site and left — the largest recipient count of any flow — and recovered $7,398 from them. Most of those visitors had already been acquired through paid ads. The flow turns existing ad spend into a second chance at conversion.
- SMS and email work best when they carry different jobs. Email handled longer-form nurture through flows and discount sequences. SMS handled time-sensitive campaign announcements. The result was $59,441 from email and $24,542 from SMS — nearly $84,000 from a list that cost nothing to reach in the moment of send.
- Your cost per purchase is a controllable number. At $16.64 average CPP against a $69 industry benchmark, this brand was spending less than a quarter of what competitors typically spend per sale. The gap came from warm audience targeting, strong offer structure, and product-clear creative — all decisions, not luck.
Who is actually buying: Across 367 ad-driven purchases, the 25–34 age group accounted for 47.42% of all purchases ($72,545 in revenue) and the 35–44 group accounted for 33.52% ($46,119). These two segments together represent over 80% of all purchase value. Facebook Feed and Instagram Feed were the top placements by volume — 163 and 112 purchases respectively — while Instagram Stories added another 62. Budget allocation should continue to reflect where buyers are actually converting, not just where impressions are cheapest.
Ready to See These Numbers for Your Brand?
This performance came from a structured system — not guesswork. If you want to build the same infrastructure for your store, the next step is a conversation.
