# Case Studies & Real-World Evidence

> Last updated: 2026-04

## Case Study 1: Aylin Round (2K → 28K in 2.5 years)

**Background**: Started with ~2,000 followers, grew to 28,000+ over 2.5 years.
Generated 3.2 million impressions in one year.

**Strategy**:
- Posted 3x/week consistently (never more, never less)
- Fixed posting schedule (same days, similar times)
- Strong hooks on every post — front-loaded value in first 2 lines
- Industry-specific stories with personal experience
- Replied to every comment as quickly as possible
- Used Canva for professional banner and carousel designs
- Batching: wrote all posts on Sunday for the coming week

**Key insight**: Consistency beats virality. Her growth was steady, not
explosive — no single viral post, but compound growth from showing up
reliably with quality content.

**What to learn from this**:
- 3 posts/week is the sweet spot for sustainable growth
- Batch-writing prevents burnout and "blank page" paralysis
- Immediate comment replies extend post distribution window
- Professional visual branding (banner, carousels) builds trust

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## Case Study 2: Logan Gott (10 Rules, 700K+ single post views)

**Background**: Active LinkedIn creator, 2026. Known for practical, no-BS
growth advice. Single posts reaching 700K+ views.

**His 10 Rules (verified as of 2026-04)**:

1. Every day, spend 15 minutes writing human comments (15+ words, with
   a point of view or question) on popular posts in your niche
2. After publishing, stay online for the first 60 minutes and reply to
   every single comment
3. Every post should be worth saving or DM-forwarding to a colleague
4. Never put external links in the post body.
   > **DISPUTED (2026-04)**: Logan originally recommends "put links in the
   > first comment." However, multiple 2026 sources report this workaround
   > is now being detected and partially penalized. See algorithm.md's
   > "Disputed / Evolving Signals" section. **Current recommendation**:
   > make posts self-contained; use DM or profile CTA for link distribution.
5. Track Saves, Comments, and DMs — not Likes
6. Build an "engagement list" of 20-30 active creators in your field
   and comment on their posts daily
7. Add 50 targeted connections per week (use Sales Navigator to find
   ICP + recently active)
8. Repurpose one old post per week in a different format
9. Focus on depth over breadth — niche content outperforms broad content
10. Consistency compounds — the algorithm rewards predictable behavior

**Key insight**: His rules align perfectly with the algorithm's confirmed
signals: dwell time (rule 3), contribution (rules 1, 2), semantic consistency
(rule 9), and sequence-based ranking (rule 10).

---

## Case Study 3: HeyReach Clients (0 → Thousands of followers + leads)

**Background**: B2B SaaS companies using a systematic LinkedIn growth approach
over several months.

**Strategy**:
- **Contrarian POV content**: Taking industry positions that challenge
  conventional wisdom (with evidence, not just for shock value)
- **Repost-oriented content**: Creating content specifically designed to be
  reshared — checklists, industry data, frameworks that make the reposter
  look knowledgeable
- **Systematic engagement**: Daily commenting routine on target accounts
- **Lead magnet in Featured section**: Free PDF/template that captures
  DM conversations

**Results**: Multiple clients went from 0 to several thousand followers
and generated consistent inbound leads within a few months.

**Key insight**: Content designed for reposts creates a distribution flywheel.
When your content makes someone else look good for sharing it, they become
voluntary amplifiers.

---

## Pattern Analysis: What Works Across All Cases

| Pattern | Aylin Round | Logan Gott | HeyReach | Algorithm Evidence |
|---------|-------------|------------|----------|-------------------|
| Consistent cadence | 3x/week | Daily engagement | Systematic routine | Sequence ranking rewards consistency |
| Reply to comments fast | Yes, always | First 60 min rule | Yes | Extends distribution window |
| Niche > broad | Industry stories | Depth over breadth | Contrarian POV | Embedding system clusters by topic |
| Quality commenting | Not explicitly stated | 15+ words, with opinion | Daily on targets | Contribution signal in ranking |
| Professional visuals | Canva branding | Not key focus | Lead magnets | Dwell time on carousels |
| Avoid vanity metrics | Implied | Track saves/DMs not likes | Lead-focused | MOO weights contribution > reactions |
| Batch production | Sunday writing | Not stated | Systematic | Reduces quality variance |

## What's Missing / Limitations

These case studies share common blind spots:

1. **Survivorship bias**: We hear from people who succeeded. Many others
   may have followed the same playbook without results.
2. **Context-dependent**: What works for a B2B SaaS marketer may not work
   for an artist, academic, or nonprofit leader.
3. **Platform changes**: Tactics that worked in 2024-2025 may not work
   identically in 2026 as the algorithm evolves.
4. **Time investment**: None of these are "passive" strategies — they all
   require significant consistent effort (minimum 3-5 hours/week).

The value isn't in copying their exact moves, but in understanding the
**principles** that made their moves work — and those principles align
with the algorithm mechanics documented in algorithm.md.
