Gabriella is a Polish hosiery and legwear manufacturer and brand, founded in 1996 as a family business and now, by its own account, one of Europe's largest producers of hosiery. What began as tights alone is now several thousand products across legwear, lingerie and shapewear, functional accessories, sportswear, and children's and plus-size lines.
Every technological and production process runs at a single site in Łódź: 6,000 m² of production space, more than 200 knitting machines, a high-bay warehouse holding over 7 million pairs, and close to 200 staff. Around a million pairs of tights, stockings and women's socks leave the factory each month for customers in more than 50 countries, and the brand sells direct to consumers online across Europe.
2. Problems
What Gabriella.pl was up against
- 01Conversions double-counted. Meta claimed credit for conversions Google also claimed, so no single number could be trusted on its own.
- 02Leads with no outcome. LinkedIn reported cost-per-lead in isolation from what actually closed downstream in Shopify.
- 03Revenue with no source. Shopify showed revenue without knowing which campaign delivered the customer.
- 04Always a week late. The picture was stitched together in spreadsheets, and by the time it arrived the campaigns it described had finished spending.
3. Outcome
What changed with Supaboard
- 4 → 1
- Meta, LinkedIn, Google Ads and Shopify unified into one source of truth
- Mid-flight
- Budget shifts while campaigns are still spending, not a week after
- Live
- Blended CAC and ROAS by channel, replacing week-late spreadsheets
4. The story
The Gabriella.pl story
Gabriella.pl runs performance marketing across Meta, LinkedIn, Google Ads, and Shopify — and for a long time, each platform told its own version of the truth. Meta claimed credit for conversions Google also claimed. LinkedIn reported cost-per-lead in isolation from what actually closed. Shopify showed revenue without knowing which campaign delivered the customer.
With Supaboard, the team pulled all four into a single unified source of truth. The trainable agent learned their campaign taxonomy, their attribution logic, and the way the team actually thinks about funnel stages.
Four platforms, four versions of the truth
Before Supaboard, marketing performance lived in four disconnected tools, and reconciling them was a manual job that ran every single week. The team stitched it together in spreadsheets — and by the time the picture came together, the campaigns it described had already finished spending.
One unified source of truth
Gabriella.pl integrated their four platforms into Supaboard, turning four dashboards in four tabs into a single conversation. It changed how the team plans and reviews performance:
- One trained agent: Supaboard learned Gabriella.pl's campaign taxonomy, attribution logic, and funnel-stage definitions.
- Blended, deduplicated metrics: Blended CAC and ROAS by channel, with shared conversions reconciled instead of double-claimed.
- Ask in plain English: "What's our blended CAC by channel this week?" · "Which LinkedIn campaigns are driving Shopify revenue, not just clicks?"
Attribution that runs across platforms, not inside them
Supaboard maps attribution across Meta, LinkedIn, Google Ads, and Shopify at once — so a conversion claimed by two platforms is counted once, and every channel is judged on the revenue it actually drove, not the credit it claims for itself.
For example, LinkedIn carries the highest cost-per-lead but the best close rate — funding pipeline, not clicks. Seen in isolation it looked expensive. Seen blended, it was the team's strongest channel.
Shifting budget while campaigns are still live
Because performance is blended and live, the team can move spend before a campaign finishes — not a week after it's done. Campaign planning happens against blended performance, not siloed reports. Budget moves toward whatever is working this week, while it's still working.
Where Gabriella.pl landed
Gabriella.pl now runs marketing on Supaboard. The change shows up everywhere the team makes a decision:
- One source of truth: Attribution debates happen against one set of numbers everyone trusts, not four that disagree.
- Decisions, not data pulls: The questions stopped being about pulling data and started being about deciding.
- Faster, calmer planning: Weekly reviews and monthly planning run in one place, with no spreadsheet to rebuild.
