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Resources/Case studies/Giesswein Case Study
Case studyGoogle Doc·Free

Giesswein Case Study

Giesswein was running strong ads but telling the wrong story. We broke down 4,000+ A/B tests across 250+ brands in 6 years. Here's what we learned... Ecom owners don't know why their revenue dropped. Even the ones doing 8 figures a year.

Giesswein Case Study

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What you get

Giesswein is a €100M+ Austrian wool shoe brand.

When post-COV\*D correction hit, their revenue dropped.

No one knew why.

The assumption? "Customers love our sustainability story."

The reality? Customers were buying for quality. Not eco-consciousness.

That single misalignment was killing conversions.

Here's the fix we built:

We ran a Category Entry Point analysis. Mapped every real purchase driver. Built a 3-year testing roadmap around one insight:

Make quality impossible to miss.

The results:

€12,200,000 in additional revenue

€232,500/month from a single badge test

25.3x ROI

Zero extra ad spend

One badge. No redesign. Just the right psychological driver, placed correctly.

That's what happens when research drives testing. Not gut feel. Not best practices. Not guesses.

I documented the entire framework.

What's included:

The CEP research method we used

Full PDP, PLP, and cart test breakdown

The quality perception hypothesis that unlocked €12M

Key mistakes premium brands make post-COVID

The prioritization system that compounds results

Actual control vs. variant screenshots

𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗮 𝟳-, 𝟴-, 𝗼𝗿 𝟵-𝗳𝗶𝗴𝘂𝗿𝗲 𝗲𝗰𝗼𝗺 𝗯𝗿𝗮𝗻𝗱 𝗮𝗻𝗱 𝘄𝗮𝗻𝘁 𝘁𝗵𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 (𝗙𝗥𝗘𝗘):

Good to know

Free. Five quick questions, then it's yours.

Not sure where your shop leaks? Book a call and we'll tell you where the money gets lost and what to test first.

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