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Samuel Hess

Samuel Hess

LinkedIn Content Strategy & Writing Style

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

Germany
25 Viral ScoreView on LinkedIn

1 person tracking this creator on ViralBrain

Warm Analysis

Samuel Hess positions himself as a high-stakes revenue architect for elite DTC brands, leveraging a massive database of 4,000+ A/B tests to move the needle for giants like HelloFresh. His content strategy centers on "de-risking" growth by transforming conversion rate optimization from a series of hacks into a rigorous, psychology-driven discipline. He is notable for his radical transparency, frequently sharing "brutal reality" posts where hypothesized improvements failed, which builds immense authority and trust. By intersecting deep behavioral psychology with technical AI workflows, Samuel provides a sophisticated roadmap for scaling eight- and nine-figure e-commerce enterprises without increasing ad spend.

Performance Overview

Followers

76.9K

Connections

29.2K

Avg. Engagement

94

Engagement Rate

Posts/Week

30.6

Viral Score

25

Posts Analyzed

5

Top Posts by Engagement

There's a cheat code for CRO teams using Claude. Most people don't know it exists. It's called a Prompt Library. A single resource that teaches Claude exactly how to analyze your store. Your funne…

LinkedIn post image: There's a cheat code for CRO teams using Claude. Most people don't know it exists.
3041.4K476 viral
Conversion Rate Optimization7 months ago
View on LinkedIn

This is how you should run E-Commerce operations in 2026. We built 5 n8n automations that run your entire Shopify backend on autopilot. (And I'm making the complete bundle public) Most e-commerce…

LinkedIn post image: This is how you should run E-Commerce operations in 2026.
344833349 viral
E-commerce Automation9 months ago
View on LinkedIn

Ecom owners, take this (free) and have it forever. I bundled some of our most valuable internal resources — the exact frameworks, breakdowns & test libraries we use with 8-figure brands. This isn’t…

LinkedIn post image: Ecom owners, take this (free) and have it forever.
155230017 viral
Conversion Rate Optimization7 months ago
View on LinkedIn

Free Claude Cowork playbook for DTC brands. Covers 10 workflows that replace the busy work eating your week. Most DTC marketing teams are running AI completely wrong: - Typing the same briefs into C…

LinkedIn post image: Free Claude Cowork playbook for DTC brands.
5911507 viral
AI Workflow Automation for DTC Marketing7 months ago
View on LinkedIn

600+ proven CRO Ideas. €250M+ in generated Ecom revenue. My team uses it daily to optimize websites for billion-dollar enterprises. I’ve turned 6 years of CRO research into a single master file. Wh…

539706 viral
Conversion Rate Optimization7 months ago
View on LinkedIn

We’ve run 4,000+ A/B tests for Europe’s top Ecom brands. In the past 6 years, we’ve optimized online shops for DTC brands (from €1M annually to those surpassing €1B per year). 95% of our clients con…

LinkedIn post image: We’ve run 4,000+ A/B tests for Europe’s top Ecom brands.
608706 viral
Conversion Rate Optimization7 months ago
View on LinkedIn

Posting Patterns & Frequency

30.6 posts/week

Posts / Week

0.3 days

Days Between Posts

5

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: Europe/Berlin

Best Performing Days

Tuesday

Best Performing Times To Post

07:00–09:0011:00–15:00

Topics & Content Focus

Primary Topics

Mobile-first eCommerce conversion rate optimization (CRO) through micro-UX changesBehavioral decision science applied to shopping flows (clarity, uncertainty reduction, cognitive fluency)Evidence-based revenue storytelling (test results framed as business outcomes)

Secondary Themes

Product detail page (PDP) information architecture and scannabilityCart/checkout friction removal and post-add-to-cart confirmation designDistinctive brand assets as recognition triggers for low-involvement buyersSwipe-file and framework distribution for eCom operators

Industry Focus

DTC and retail eCommerce (mobile-heavy traffic, product pages, cart UX)CRO/experimentation for 7–8 figure online storesConsumer psychology for performance marketing and onsite UX

Content Categories

Experiment teardown / A-B test case studyBehavioral framework explanationTactical teardown of a real product pageLead magnet / resource bundle distribution

Performance Insights

93.6%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Free plug-and-play CRO resource bundles (comment-to-get mechanics)Data-backed CRO micro-wins framed as € impactBehavioral simplification narratives (clarity beats more information)

Virality Signals

Keyword-based comments massively increase comment volume (algorithmic surface area)Precise monetary outcomes and % lifts function as credibility acceleratorsLow share count implies the core distribution lever is comments (not forwarding)“Internal resources / 8-figure brands” status signaling boosts perceived scarcity/value

Structure & Quality

1700

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Specific outcome hook with hard numbers (revenue lift, conversion lift)Contrarian/negative framing ("saying more" reduces sales, "tiny tweak" big impact)Friction callout (anxiety, uncertainty, hesitation) tied to a single UI momentFree-value hook with permanence language ("take this and have it forever")

Common Endings

Follow-for-more positioning anchored to tests and real-world breakdownsComment-to-receive keyword CTA (high-friction but high-intent interaction)Direct takeaway summary ("Key takeaway:" / "The takeaway:")Occasional discussion prompt question to invite replies

Value Delivery Methods

Actionable micro-UX prescriptions tied to a single page elementBusiness-case framing (conversion and revenue impact) rather than aestheticsReusable frameworks (scanability, buying triggers, uncertainty reduction)Curated libraries and test ideas positioned as implementation-ready

Formatting Style

Short paragraphs optimized for mobile readingBullet lists for scanability (USPs, inclusions, breakdown points)Metric blocks and labeled results (ARPU/CR/AOV; "Result:")Cause → effect explanation using behavioral terms (clarity, friction, fluency)

Audience & Tone

YES

Question Usage

0.25%

Response Rate

Detected Tone

Smart-casual performance operatorClinical about outcomes, conversational about behaviorBehavioral-psychology translator for busy eCom teamsConfident, test-led, low-fluffsemi-formalsecond-person

Interaction Style

High-intent participation via keyword comments (transactional community ritual)Occasional open-ended prompts to elicit opinionsAuthority-led teaching with implied invitation to follow for continued education

Community Building Signals

Creates a repeatable community loop: value drop → keyword comment → follow for morePositions followers as eCom operators who implement tests, not casual readersUses “we” + proof volume to build a lab/culture of experimentation around the creator

Writing Style Patterns

Content Strategy

Hook: Specific outcome hook with hard numbers (revenue lift, conveTone: semi-formalCTA: Comment-gated lead magnet (keyword comment)

Writing style breakdown

<start of post>

Your mobile checkout is likely leaking 10% of your revenue through "ghost friction."

We recently audited a high-growth apparel brand doing €2M/month. Their checkout looked clean. Standard Shopify flow. Fast loading.

But the data told a different story.

Users were dropping off at the shipping selection stage at a rate 15% higher than the desktop average.

We dug into the session recordings.

The problem?

The "Continue to Shipping" button was being obscured by a floating "Chat with us" bubble on 40% of Android devices.

The fix was embarrassing simple

Moved the chat bubble 20px higher

Added a high-contrast background to the primary CTA

Reduced the header height to keep the button "above the fold" on smaller screens

The result

+4.12% lift in checkout completion.

€82,400 in additional monthly revenue.

Zero extra ad spend.

What’s the lesson?

In mobile CRO, "looks good" is a dangerous metric. Friction is often invisible until you look at the interaction data.

Shoppers don't complain. They just leave.

Key takeaway

Audit your mobile flow on at least 5 different screen resolutions. What works on an iPhone 15 Pro often breaks on a budget Samsung.

We've spotted these "invisible" leaks in over 4000+ tests.

Follow me, Samuel Hess, for more CRO breakdowns that turn UX tweaks into seven-figure growth.

<end of post>

1. OVERALL WRITING STYLE & VOICE
1. The Hook: A single: sentence result or a counter: intuitive claim ('Bigger thumbnails... added €80K').
1. The Value: 'Follow for more mobile CRO breakdowns.'

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