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Home / Cases / Infinity Logistix: content machine

From the Humanswith.ai archive

Infinity Logistix: content machine

Case data Promotion features From hypothesis to LP creation ROI and key indicators Dynamics of “reach” across social platforms (Instagram, YouTube, TikTok) Project: Infinity Logistix Industry: Logistics / dispatch service (trucking, USA) Geography: USA Model: B2B / C2C marketplace Start date: March 2025 Case period: Ma

Preserved from an earlier website era Case study March 25, 2026
  • Case data
  • Promotion features
  • From hypothesis to LP creation
  • ROI and key indicators

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Dynamics of “reach” across social platforms (Instagram, YouTube, TikTok)

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Project:

Infinity Logistix

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Industry:

Logistics / dispatch service (trucking, USA)

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Geography:

USA

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Model:

B2B / C2C marketplace

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Start date:

March 2025

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Case period:

March – August 2025 (6 months)

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Result:

Built a content testing system that systematically identified viral formats and engagement triggers

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Result:

Peak reach of individual videos reached up to 26K views thanks to validated high-performing mechanics

Controlled experiment to build a content machine

1

Identify which formats and triggers go viral

2

Develop 3+ formulas for viral content

3

Separate strategies across YouTube, TikTok, and Instagram

4

Build a library of working content triggers

5

Scale production to 10–20 videos per week

Challenges of launching a content strategy in the logistics niche

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CA Triggers

No clarity on which triggers resonate with the audience

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Better coverage

Uncertainty about which platforms deliver the best reach

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Video formats

Lack of understanding of which video formats go viral

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Unstable results

- - Unstable performance: from 100 to 10K views per video

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    Testing stages

    • Stage 1. Identifying baseline content formats in the logistics niche
      We started by testing basic content formats to understand what could actually work in logistics. We experimented with memes, parking footage, accident-related content, posting timing, and drone shots. Even at this early stage, performance varied significantly from 100 to 26K views. Key takeaway: memes delivered stable reach, while accident-related content was not suitable due to platform restrictions.
    • Stage 2. Shifting from formats to emotional audience triggers
      We moved from format-based testing to analyzing emotional triggers. We tested themes like income, fear, disputes, immigration, and personal stories. It became clear that triggers — not production quality — drive reach and engagement. The strongest performance came from income and immigration-related topics, reaching up to 26K views.
    • Stage 3. Platform-specific strategy: YouTube, TikTok, Instagram
      We tested whether the same content could work across multiple platforms. Results showed clear differences: YouTube, TikTok, and Instagram require distinct approaches. We also found that matching titles on TikTok increased views by +190%. Key takeaway: there is no universal content format.
    • Stage 4. Optimization and scaling of working formats
      At this stage, we optimized existing winning formats instead of searching for new ones. We tested thumbnails, titles, trigger words, and combinations of approaches. This resulted in CTR growth of up to +30% and stable performance up to 10K views. Conclusion: scaling comes from precise optimization, not constant new hypotheses.
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    Effect of implementing a content testing system

    We built a strict content testing system based on hypotheses, experiments, and analytics, which allowed us to move from random performance to controlled growth. ROI and key metrics: what content experimentation delivered Through systematic testing of formats, triggers, and platforms, we built a predictable model for producing viral content within 6 months. Over 6 months:

    26K views

    Memes in the logistics niche consistently reach up to 26K views

    Triggers

    Emotional triggers (income, immigration, fear) increase reach to 26K+ views and significantly boost engagement

    Multiple values

    Platform differences are substantial: YouTube — up to 26K views, TikTok — ~500, Instagram — up to 2.2K

    +30% CTR

    Format optimization (titles, thumbnails) delivered up to +190% views growth and +30% CTR increase

    Page status

    Mode Historical archive
    Inventory clicks 0
    Migration score 34
    Updated Mar 25, 2026

    We keep pages like this as part of the Humanswith.ai history layer and to preserve link continuity. The current positioning, products, and primary buyer-facing routes already live in the new platform.

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