Bas Gosewisch's LinkedIn Strategy, Growth…

As a former model, I’ve worked with brands like Philips, Eastpak and major ecom players. So posting this? Feels strange. But it’s too good not to share. Imagine never having to pay: - model fees - s…

8547378 viral

AI11 months ago

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STOP creating every video in VEO or SORA. It drains your budget fast and only gives you limited control... What if you could get the same creative freedom at 5-10X less cost? I’ve been experimenting…

4211329 viral

AI9 months ago

View on LinkedIn

Text-to-video is a slot machine. Image-to-video is engineering. I took the Rimowa x Aime Leon Dore collab as an example to test a theory: Can I finally get brand-consistent motion if I get the static…

353217 viral

AI9 months ago

View on LinkedIn

"Test more hooks." It’s the standard advice for growth. But actually doing it? That’s usually where the budget dies. Producing 12 variations of a video to test 2 hooks, 3 bodies, and 2 CTAs takes f…

204112 viral

Marketing9 months ago

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VEO3.1 just dropped. Everyone’s hyped. I tested it next to SORA2 and the difference surprised me. Which one you think is better: left or right? I’ve been testing both to see how far AI video has come…

203111 viral

AI10 months ago

View on LinkedIn

Running a SaaS and losing users from trial to paid or month one to month two? That’s not a pricing problem but more like a proof-of-value problem. But here’s the real challenge: teams know what might…

20207 viral

Growth Marketing10 months ago

View on LinkedIn

Posting Patterns & Frequency

1.1 posts/week

Posts / Week

7.1 days

Days Between Posts

Total Posts Analyzed

LOW

Posting Frequency

Timezone: Europe/Brussels

Best Performing Days

Wednesday (mid-week posts perform strongest relative to other days)

Best Performing Times To Post

Morning (roughly 08:00–10:00 in Europe/Brussels, especially for deep-dive experiment posts)

Topics & Content Focus

Primary Topics

AI-native content production systems (node-based orchestration, modular 'content factories')Cost-efficient generative video workflows for brands and productsPractical experimentation with image-to-video and text-to-video model stacksApplied growth and performance thinking for B2B SaaS and fintech (positioning, acquisition, activation, retention)Platform behavior and UX observations translated into practical shortcuts (e.g., LinkedIn habits, saved posts)

Secondary Themes

Brand-consistent motion design using AI (constraints, system prompts, start/end frame control)Tool selection strategy and model economics (getting 5–10x cheaper outputs with comparable quality)Workflow design for small, resource-constrained teamsCreative engineering as a personal craft (side experiments, artistic interest in video/piano)Micro-commentary on AI ecosystem quirks and product communication

Industry Focus

B2B SaaS growth and product-led marketingFintech user acquisition, activation and retentionAI-driven creative production for eCommerce, DTC and brand contentPerformance-focused social and ad content creation

Content Categories

Process breakdowns and how-to workflows for AI video and content systemsExperiment case studies using real brands or products (Rimowa, skincare, etc.)Tool-stack comparisons and practical software reviewsOpinionated takes on how to approach creative testing and content scalabilityShort, humorous platform or language observations as pattern interrupts

Performance Insights

34.9%

Avg Engagement Rate

INCREASING

Performance Trend

Best Performing Topics

Cost-optimized generative video pipelines using specific tool stacks (Kling, Pletor, CapCut, etc.)Scalable 'content factory' systems leveraging node-based orchestration for high-volume asset testingBrand- and motion-consistent AI imagery built from static assets (image-to-video constrained workflows)Hands-on, replicable experiments using real-world products or brands as examples

Virality Signals

Above-average comments and shares when the post promises (and partially reveals) a concrete system or flow that others can copyHigh curiosity pull when specific models and settings are named, especially around cost savings and capabilities (e.g., Kling 2.5 Pro with start/end frames)Audience requests implied or invited for 'exact flows' or templates, suggesting strong save/bookmark potential beyond visible reactionsContent anchored in popular categories (cars, art, fashion collabs) tends to invite more speculative interest and suggestions

Structure & Quality

300

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

8.5/10

Uniqueness Score

Common Hooks

Contrarian command hooks that challenge current behavior (e.g., 'STOP creating every video in VEO or SORA.')Reframing commonly accepted advice as incomplete or broken (e.g., '“Test more hooks.” It’s the standard advice… but actually doing it? That’s where the budget dies.')Binary or identity-based openers that categorize the reader (e.g., 'There are really only two types of people on LinkedIn:')Short, witty cultural or industry observations referencing current AI discourse or figuresFraming AI behavior with memorable metaphors (e.g., 'Text-to-video is a slot machine. Image-to-video is engineering.')

Common Endings

Standardized personal sign-off reinforcing niche and authority (who he helps, what he does)Explicit follow-CTA for future content ('Follow me for growth insights, practical tips and (AI) software reviews')Open-ended invitation to suggest next experiments or use casesOffer to share exact flows or templates conditional on engagement ('If you want the exact flow I used, let me know')Occasional PS/PPS blocks to add an extra layer of nuance or an advanced consideration (e.g., cost differences between models)

Value Delivery Methods

Detailed, step-by-step workflows that bridge strategy (why) and implementation (how, with which tool and in what order)Transparent sharing of tool stacks and orchestration logic instead of vague 'AI can do X' statementsCost-awareness and model-selection reasoning that helps readers make smarter budget decisionsMental models and metaphors that clarify otherwise fuzzy concepts (constraints, slot machine vs engineering, logic vs creative)Actionable prompts for experimentation that readers can adapt to their own brands or products

Formatting Style

Narrative intro followed by structured breakdowns (numbered steps, subheadings like 'The process', 'Some thoughts')Heavy use of bullet and numbered lists to chunk complex workflowsClear section dividers (----- / ----) to separate main content from bio and CTAsParenthetical asides and light emoji usage for tone, not decorationStacks and tools listed in a scannable format (tool name + what it’s used for)

Audience & Tone

YES

Question Usage

0.7%

Response Rate

Detected Tone

Smart-casual 'builder-operator' who is both technical and marketing-awareRelatable expert who uses plain language to describe complex systemsPlayful experimenter with a bias toward shipping and showing workSystems thinker who frames creativity as something that can be engineered and scaledsemi-formalfirst-person

Interaction Style

Collaborative and peer-oriented, inviting others to share their own workflows or tool stacksCuriosity-led, routinely asking for feedback, ideas, or alternative approachesService-focused, positioning resources (flows, templates, tool suggestions) as rewards for engagementLightly self-deprecating and humble about 'still tinkering', which lowers the barrier for others to contribute

Community Building Signals

Reinforcing a consistent identity and niche in every post (who he helps, what he’s exploring)Turning experiments into shared learning opportunities by explicitly asking what to try nextUsing engagement-gated flows/resources to create micro-communities of people running similar setupsBlending professional domain (SaaS/fintech growth) with creative AI engineering to attract multi-disciplinary operators

Writing Style Patterns

Content Strategy

Hook: Contrarian command hooks that challenge current behavior (e.Tone: semi-formalCTA: Engagement-gated resources (comment/ask to receive

Writing style breakdown

Core characteristics

Conversational, human, and informal, but clearly expert and informed.

Professional without being stiff; feels like a smart colleague explaining what they’re playing with.

Strongly informative and practical (frameworks, workflows, numbers), with a light persuasive undercurrent: “this is useful, you could try it, too.”

Frequently exploratory: “I’ve been experimenting”, “I’m still tinkering with this”, “it’s an early one”.

Light humor and self-awareness: self-deprecation, playful metaphors, and emoji used sparingly.

Tone is confident but not guru-like; he often downplays his own work (“It’s an okay start if I’m honest.”).

Formality

Casual-professional. Vocabulary is precise (growth, SaaS, ARPU, orchestration) but sentence structure is relaxed.

Slang and colloquialisms appear (“blabla”, “you know”, “pockets to empty”), but grammar is mostly standard with intentionally broken rules for rhythm.

Emotional tone & energy

Medium to high energy in hooks and transitions (“STOP creating every video…”, “Lets go.”).

Overall tone is upbeat and optimistic, but grounded (“It’s not a bad tool. It’s an early one.”).

Reflective and honest when evaluating tools or experiments: balances excitement with realism.

- Very frequent rhetorical questions to pull the reader in

Can I finally get brand-consistent motion if I get the static assets first?

Have you tried it?

How fast can someone reach ‘ah, this works’ after sign-up?

- Comparisons and metaphors

Text-to-video is a slot machine. Image-to-video is engineering.

map to Narnia”, “graveyard of good intentions”, “algorithmic squeeze”.

- Light humor and self-awareness

2. Liars.

(NOT Timo😛)

FINALLY made my first meme.

hope you don't mind, you can have the flow also of course

- Direct engagement with the reader, often with second person and inclusive “we”

If you are (like me) stockpiling unread insights…

Maybe we should stop calling these things activation or retention…

- Meta-commentary on his own posts

Since this is a hobby for me (not my job), I’m looking for my next experiment.

It’s an okay start if I’m honest.

- Consistent blend of

First-person singular “I” for experience, opinion, and experiments.

First-person plural “we” for shared perspective or recommended approach.

Second-person “you” for advice, calls-to-action, and empathy.

- Direct commands are used but softened

STOP creating every video in VEO or SORA.” (punchy)

Let me know in the comments and I’ll DM you the exact flow…” (softer, invitational)

Tag a marketer or ecom lead who you believe will benefit from this.

- Questions are often used instead of blunt commands when asking for engagement

Who uses AI / Voice assistant tools…?

Have you tried it?

How are you increasing user experience so they keep coming back?

Bas Gosewisch

Warm Analysis

Performance Overview

Top Posts by Engagement