Samuel Hess, Boost Revenue Per User by 10% in <​ 6 Months | Over $248M added with A/B-Tests for HelloFresh, SNOCKS, and 250+ other DTC brands

Boost Revenue Per User by 10% in <​ 6 Months | Over $248M added with A/B-Tests for HelloFresh, SNOCKS, and 250+ other DTC brands

  • DRIP Agency
  • Founder-Led Sales
  • Germany
Rank
#137of 18,993
  • 78.3K followers
  • 131 posts / 60d
  • 0.0% avg engagement
  • 182 follower growth / 30d

Samuel Hess ranks #137 of 18,993 creators on the LinkedIn Ranking, working in Founder-Led Sales and based in Germany. They have 78.3K followers and published 131 posts in the last 60 days at a 0.0% average engagement rate.

The roast

Samuel Hess claims he lives by the motto Less Ego More Data, yet he managed to post 50 times in a month to an audience that ignores him 99.93% of the time. He’s the only Chief Experimentation Officer who spent six years turning himself into a control group nobody wants to interact with.

About Samuel

As a Co-Founder and Chief Experimentation Officer at DRIP, I'm responsible for conducting tests in online stores and on myself. I firmly believe that one must make mistakes to improve and that there's always room for growth. I live and work by this motto: #LessEgoMoreData This means - making mistakes, owning up to them, and then learning from the data to do better next time. Over the past 6 years, we've grown DRIP from a 2-person show into one of the largest A/B-testing players in the DACH region. We've conducted over 2,500 on-site A/B tests for brands (like HelloFresh, SNOCKS, Giesswein, etc.) and generated more than $250 million in additional revenue.

Highlights

  • Top 1% Creator

    : 131 posts in 30 days

  • Top 1% in Germany

    : Ranked #1 of 762 creators

  • Top 1% Audience

    : 78,267 followers

  • Top 25% in Founder-Led Sales

    : Ranked #13 of 103 creators

Recent posts

  • Wishlist suggestions in the cart reduced conversion rate by 11.69%. For KICKZ, this was the test: We tested showing wishlist items directly in the cart for a sports apparel brand selling NBA jerseys and sneakers. The idea: Remind users of stuff they already loved, tap into consistency bias, and spark add-ons right before checkout. How does Apex assess this idea? Apex gives it a 21% likelihood to win. Among the 25 most similar market tests, only 4% were kept, below the typical 8% for changes of this kind. The reasoning: Wishlist suggestions in the cart tend to distract shoppers who are rea

    2 reactions · 0 comments · 0 reposts

  • Marketing rule 101: People Buy Emotions, Not Features Because in the real world, nobody is paying for specs, materials, or logic. They’re paying for identity, status, and emotion. ❌ Nobody drinks Liquid Death for the taste ✅ They drink it to feel rebellious, not just hydrated ❌ Nobody buys a Ferrari to get from A → B ✅ They buy it to feel status, adrenaline, and exclusivity ❌ Nobody buys Nike to “go for a run” ✅ They buy the feeling of pushing limits and becoming more ❌ Nobody buys a Rolex because they need to know the time ✅ They buy it to feel powerful, successful, and respected ❌ No

    15 reactions · 11 comments · 0 reposts

  • Your best-selling product is not necessarily the product someone came to find. A shopper looking for running shoes lands on your homepage. The first products they see are basketball shoes. Those sell best overall, but they don't help this visitor find what they need. Now the shopper has to work out whether you sell running shoes at all, and where to find them. Best sellers answer a store-level question: “What do people buy most?” Category navigation answers a visitor-level question: “Where should I go?” On a store with several distinct categories, those are different jobs. Imagine the s

    44 reactions · 21 comments · 0 reposts

Last updated 2026-08-01