Case studies
€496K From Pinterest. $245K in 16 Weeks.
Two real accounts, with the numbers, the periods, and where each figure comes from: a US pet brand we built a Pinterest program with (anonymized), and Noxelya, our founder's own Shopify brand. Below them, strategy breakdowns for other categories.
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AurélienFounder, Scalypin
At a glance
The Numbers Behind the Work.
- €350K+
- ad spend managed on Pinterest and MetaAcross our founder's brand and client accounts, 2025 to 2026.
- 5,000+
- ad-attributed orders2,947 from Pinterest for the pet brand, 2,326 from Meta for Noxelya.
- 4.16x
- Pinterest ROAS over 11 months€496K attributed revenue on €119K spend.
- 18K
- monthly clicks from organic Pinterest and blogSame pet brand, early 2026, on top of paid results.
Figures from Pinterest Ads Manager, Meta Ads Manager, and Shopify exports, each with its period. Pinterest-attributed revenue uses Pinterest reporting; store revenue covers all channels. Client brand anonymized. Past results do not guarantee future performance.
€119K of Pinterest Ads. €496K in Revenue.
A pet brand selling grooming products and personalized gifts to US pet owners. The founder came from Facebook Ads and had never run Pinterest. Eleven months later, Pinterest was a full acquisition channel with a 4.16 ROAS.
Real client account, brand anonymized. Pinterest-attributed figures from a Pinterest Ads Manager export covering April 26, 2025 to March 31, 2026, reported in EUR. Platform-reported attribution, not an incrementality test. Past results do not guarantee future performance.
Business context
Small founder-led brand, US as the main market, with Canada, Australia, and the UK opened later. No Pinterest ads history.
Initial challenge
The original hero product, personalized memorial jewelry, was not the right fit for cold Pinterest traffic. Budget was limited and every test had to count.
Strategy
- Store and ad audits before any spend, plus a competitor benchmark
- Product pivot to a dog grooming brush with one clear benefit-led angle
- US first, other English-speaking markets only after the US was profitable
- A €10-a-day launch protocol on Performance+, with a 7 to 10 day learning rule
- Clear cut rules: ads below 3 ROAS were stopped, winners got the budget
Campaign structure
- 82% of budget on Performance+ campaigns
- 4 master campaigns carrying 52% of total spend
- 61% of budget on shoppers aged 55 and over, the account's best buyers
Organic growth
A blog and an organic Pinterest program built on the same keywords reached 18,000 clicks a month in early 2026, now monetized on top of paid results.
Measured results
- €496,405 in Pinterest-attributed revenue
- €119,250 in Pinterest ad spend
- 4.16 ROAS
- 2,947 orders at a €168 average order
- Peak spend of €1,546 a day in December 2025
- Best day: €5,594 in revenue on December 20, 2025
Reporting period
April 26, 2025 to March 31, 2026.
Methodology and limitations
Figures are Pinterest-reported, under Pinterest's attribution settings. They show what Pinterest credits to its ads, not a holdout-tested incremental lift.
Noxelya: $245K in 16 Weeks.
Noxelya is our founder's own Shopify brand: silk-top hair toppers for US women dealing with thinning hair. It launched on December 31, 2025. Every ad dollar is our own, which is exactly why we measure the way we do.
Founder-owned brand. Store revenue from a Shopify orders export (March 31 to July 23, 2026), all channels, in USD. Ad figures from Meta Ads Manager in EUR. Past results do not guarantee future performance.
Business context
A new brand in a sensitive category with a high average order, where trust has to be earned in a single ad and a single product page.
Strategy
- Meta as the volume engine, Pinterest Performance+ running alongside it
- Creative segmented by age group, after an analysis showing each group converts on a different angle
- A library of 16 static concepts, real customer before-and-after photos, and advertorial formats
- Day-by-day, 3-day, and 7-day reads to move budget between ad sets
- Cost caps when opening new markets such as the UK
Measured results
- $245,547 in Shopify revenue in 16 weeks (March 31 to July 23, 2026)
- 1,548 orders at a $158.62 average order
- €230K+ spent on Meta between January and September 2026, for 2,326 purchases
- Daily Meta spend scaled past €700 a day
- UK: cost-capped ad sets at a 4.20 ROAS in September 2026
What we learned
The 45 to 54 age group converted best once on the site, but the creative did not stop them in the feed. Fixing the hook, not the audience, became the priority. That kind of diagnosis is what we bring to client accounts.
Reporting period
Shopify revenue: March 31 to July 23, 2026. Meta spend and purchases: January 9 to September 23, 2026.
Methodology and limitations
Store revenue covers every channel, not only ads. Meta purchases are platform-reported. We show both so you can see the difference.
Reporting standards
How We Report Results
Every figure on this site states what it measures, over which period, and under which attribution settings. These are the definitions we use.
| Figure | What it includes |
|---|---|
| Total store revenue | All revenue recorded by the store over the period, from every channel, before or after returns as stated. |
| Pinterest-attributed revenue | Revenue that Pinterest reports as driven by its ads, under the stated click and view attribution windows. |
| Revenue from all acquisition channels | Revenue attributed to paid and owned channels combined, according to the stated attribution source. |
| Ad spend | Media spend on Pinterest for the period, excluding agency fees and production costs unless stated. |
| ROAS | Return on ad spend: attributed revenue divided by ad spend, always with its revenue source and attribution windows. |
| Conversion rate | Orders divided by sessions for the defined traffic source and period, measured in the stated analytics tool. |
We never present total store revenue as if it came from Pinterest unless that has been established, and we state the reporting period and attribution windows next to every result.
A Demi-Fine Jewelry Brand Preparing for Holiday Gifting
A US Shopify brand selling gold vermeil and sterling silver pieces, mostly between $40 and $150, with most new customers coming from Meta.
Illustrative strategy example. Hypothetical brand. It shows how we would approach this scenario, not results achieved for a client.
Business context
Founder-led brand, established bestsellers, strong product photography, no Pinterest advertising history. Holiday season is the largest revenue period.
Market and audience
US women buying for themselves and for gifts: everyday layering pieces, birthstone gifts, and bridal party jewelry.
Initial challenge
Rising Meta costs ahead of the holidays, no second acquisition channel, and a Pinterest Tag installed twice by two different apps.
Strategy
Fix tracking first, then enter the gifting season early with catalog campaigns and gift-guide creative, building retargeting audiences before costs peak.
Campaign structure
- Catalog-based Sales campaigns by price tier: under $60, $60–$100, over $100
- Sales campaign on gifting keywords and interests
- Dynamic retargeting for product viewers and cart abandoners
Creative testing
- Close-up product shot vs. on-body shot for the same piece
- Gift guides by price vs. gift guides by recipient
- Static pin vs. short video showing stacking
Tracking setup
Remove the duplicate tag, connect the Pinterest app for Shopify for the tag, Conversions API, and catalog sync, confirm event_id deduplication, and validate checkout value and product IDs with test orders.
Conversion optimization
- Add ring size guide and chain length visuals
- Show holiday shipping cut-off dates on product pages
- Move reviews with photos closer to the add-to-cart button
Measured results
None claimed. This is a hypothetical scenario, so no results are reported.
What we would measure
Pinterest-attributed purchases and revenue, cost per purchase, and new customer share from Shopify, compared with Meta over the same attribution windows.
Reporting period
A planned evaluation window of the full gifting season, with a checkpoint after the Performance+ learning phase.
Methodology and limitations
Platform-reported results would be compared with Shopify orders. Attribution would not be presented as incremental impact without a holdout or lift test.
A Home Brand With a Large Catalog and a Long Path to Purchase
A US home and lifestyle brand selling bedding, decor, and small furniture, with hundreds of SKUs and orders often placed weeks after the first visit.
Illustrative strategy example. Hypothetical brand. It shows how we would approach this scenario, not results achieved for a client.
Business context
Established Shopify Plus store, active on Meta and Google, testing Pinterest occasionally without a structured plan.
Market and audience
US homeowners and renters planning a room refresh, a move, or seasonal decorating.
Initial challenge
Short attribution windows made Pinterest look weak, product groups mixed bestsellers with out-of-stock items, and creative was repurposed from Meta.
Strategy
Separate inspiration from conversion: room-led consideration campaigns to build audiences, catalog campaigns by room and category to convert them, and reporting aligned with the real purchase cycle.
Campaign structure
- Consideration campaign on room and style keywords
- Catalog-based Sales campaigns by room and price, excluding out-of-stock items
- Retargeting with a longer lookback for engagers and product viewers
Creative testing
- Styled room scene vs. product on white
- Dimension callouts vs. no overlay
- Single product vs. room collection
Tracking setup
Validate the Pinterest Tag and Conversions API, confirm high-value orders pass full order value, and document attribution windows used for channel comparisons.
Conversion optimization
- Dimensions and materials in a scannable block
- Delivery estimates visible before checkout
- Room-context photos added to top products
Measured results
None claimed. This is a hypothetical scenario, so no results are reported.
What we would measure
Pinterest-attributed revenue by campaign type, time to purchase, and assisted conversions alongside Shopify order data.
Reporting period
A planned evaluation window long enough to cover the typical purchase cycle, reviewed at regular checkpoints.
Methodology and limitations
Long journeys increase cross-device gaps. A geo holdout would be proposed before drawing conclusions about incremental revenue.