Eric Siu vs Mark Roberge: Reach vs Resonance on LinkedIn
Eric Siu posts 7.7x per week with surgical pattern-interrupt hooks that teach operators how to spot market shifts, averaging 12 engagements per post but reaching 55K followers through sheer volume and consistency. Mark Roberge posts 7.5x per week with mentorship-grade depth, averaging 178 engagements per post (14.8x higher) to a 64K audience, proving that teaching from lived credential (HubSpot $100M ARR exit) converts harder than reporting trends. Choose Siu if you want to build reach through high-frequency signals. Choose Roberge if you want to build authority through depth.
Eric Siu ✓
Founder @ Growth Marketing Agency - Single Grain, Podcaster @ Marketing School + Leveling Up
Mark Roberge
Co-Founder @ Stage 2 Capital, Prof @HarvardHBS; Founding CRO @HubSpot; Author of Best Sellers “The Sales Acceleration Formula” and “The Science of Scaling”
- Siu: 12 avg engagements, 55K followers. Roberge: 178 avg engagements, 64K followers. Roberge wins per-post impact.
- Siu teaches pattern recognition through inversion hooks. Roberge teaches scaling through lived credential and relatable problems.
- Siu's 7.7x cadence floods the feed. Roberge's 7.5x cadence converts harder (12.8% conversation index vs Siu's 20.2%).
- Siu: operator-focused, trend-signal voice. Roberge: mentor-grade, vulnerability-mixed voice. Different audiences, different trust mechanics.
Side by side
| Dimension | Eric Siu ✓ | Mark Roberge |
|---|---|---|
| Voice | Direct operator reporting raw findings: 'The money is interesting, but the operating model is the real story.' Assumes reader is building and wants speed. | Mentor with earned credential mixing casual observation with rigor: 'Sound familiar?' followed by 10+ years of data. Admits uncertainty while teaching conviction. |
| Content mix | AI adoption fluency, marketing operating models, founder execution, industry trend signals. Heavy on emerging pattern recognition and platform shifts. | Scaling strategy and timing, sales structure and hiring, enterprise deal execution, personal vulnerability. Heavy on founder lifecycle and sales team evolution. |
| Hook style | Inversion hook ('Paid media used to mean X. Now it means Y.') and contrarian experiment ('We tried the same thing. It almost backfired.'). Teaches pattern spotting. | Casual high-stakes opening ('Today is a big one.') and relatable problem painting ('Your inbox is probably flooded with...'). Teaches through recognition, not inversion. |
| Engagement pattern | 12 avg engagements per post, 20.2% conversation index. High-frequency, lower-per-post impact. Wins on reach through volume and repost rate of 3.7%. | 178 avg engagements per post, 12.8% conversation index. Lower frequency, 14.8x higher per-post impact. Wins on depth and follower quality (2.9% repost rate shows less viral spread, more qualified saves). |
| Posting cadence | 7.7 posts per week, best day Friday. Floods feed with signals. Assumes reader scans for patterns across many posts. | 7.5 posts per week, best day Friday. Nearly identical cadence but each post carries more weight. Assumes reader reads fewer posts but deeper. |
Who wins what
55K followers posting 7.7x per week with 3.7% repost rate creates algorithmic momentum. Inversion hooks and trend signals spread wider than mentorship-grade depth.
178 avg engagements vs Siu's 12 means Roberge's posts generate 14.8x more direct reader interaction per post, despite lower conversation index (12.8% vs 20.2%) suggesting Siu's followers engage but don't reply.
2.9% repost rate vs Siu's 3.7% is misleading—Roberge's lower repost rate paired with 178 avg engagements suggests readers save for reference, not spread. Siu's higher repost rate means followers share signals, not keep them.
Both post 7.5-7.7x per week on Friday best days. Siu's 100 posts analyzed vs Roberge's 98 show identical discipline. Difference is output quality, not output frequency.
Pick Eric Siu ✓ if…- You're building a personal brand in ops or marketing and want to reach founders fast through high-frequency trend signals. Siu's 7.7x cadence and 3.7% repost rate flood feeds.
- You want to teach pattern recognition and market shifts, not deep expertise. Siu's inversion hooks ('Paid media used to mean X. Now it means Y.') are teachable and spreadable.
- You're comfortable with lower per-post engagement (12 avg) in exchange for reach. Siu's 55K followers and high repost rate prove volume compounds even with modest engagement.
- Inversion hook structure: '[Old definition]. Now it can mean [counterintuitive new definition].' Siu's 'Paid media used to mean buying ads. Now it can mean paying 1,500 editors' teaches pattern recognition in one sentence.
- The operating model reframe: 'The money is interesting, but the operating model is the real story.' This phrase signals you're teaching systems thinking, not just reporting numbers. Use it when a trend's revenue is obvious but the execution model is hidden.
- High-frequency cadence (7.7x per week) with pattern-interrupt hooks. Siu's volume compounds reach. If you have 3-4 insights per week, post them separately instead of bundling. Each post is a chance to be reshared.
Pick Mark Roberge if…- You're a founder or operator who wants mentorship-grade scaling advice backed by lived credential (HubSpot $100M ARR). Roberge's 178 avg engagements and 64K followers show readers trust his depth.
- You want to build authority through vulnerability and relatable problem-painting, not trend-spotting. Roberge's 'Sound familiar?' and seasonal problem hooks convert readers into believers, not just followers.
- You care about conversation quality over viral spread. Roberge's 12.8% conversation index and 2.9% repost rate mean readers reply and save, not just share—higher-quality audience signal.
- Casual high-stakes opening without hype: 'Today is a big one.' or 'One mistake I see founders make...' Roberge's 1,822 engagements on 'Today is a big one' proves simple declarative stakes beat 'revolutionary' language. Use it when you have earned credential to back the claim.
- Relatable problem painting with specificity: 'If you're in B2B sales right now, your inbox is probably flooded with "I'm out of the office until August 19th" auto-replies.' This 649-engagement hook works because it names the exact friction the reader is living right now, not a hypothetical.
- Credential-first teaching: Lead with 'Here's what I learned scaling HubSpot from zero to $100M ARR' before the lesson. Roberge's 178 avg engagements per post show readers engage harder when they know the teacher has skin in the game. Name the company, the metric, the outcome.
Siu and Roberge prove two different LinkedIn strategies work, but they work for different goals. Siu optimizes for reach and pattern-spotting authority—he floods the feed with high-frequency signals, accepting lower per-post engagement (12 avg) in exchange for algorithmic momentum and a 55K follower base. Roberge optimizes for conversion and mentorship authority—he posts nearly as often (7.5x vs 7.7x) but each post carries 14.8x more engagement (178 vs 12 avg) because he leads with lived credential and relatable friction, not trend inversion. If you want to build reach fast, steal Siu's inversion hooks and cadence. If you want to build authority and convert readers into clients or believers, steal Roberge's credential-first framing and problem-painting specificity. The meta-lesson: frequency alone doesn't win on LinkedIn. Frequency plus either (a) spreadable pattern recognition or (b) deep earned credential does.
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