Aaron Reeves
Founder @ Outbound OS | Helping SaaS sellers turn cold outreach into consistent pipeline
Aaron Reeves teaches SaaS sales teams how to write cold emails and LinkedIn outreach that actually convert, posting 11.6 times per week with a 49.9% conversation rate. His signature move is the contrarian hook paired with a free gated resource that requires multi-step engagement (like, comment, connect) to unlock.
11.6/wk
35 posts in 30d
262
avg per post
49.9%
comments / total
0.8%
reposts / total
numbered list
Thu · 10 AM CET
Voice & tone
Direct, confident, and slightly irreverent. He uses all-caps declarations and casual language ("straight up embarrassed it") to sound like a peer who's tested things in the real world, not a guru. He leads with what doesn't work before pivoting to what does, which creates permission for the reader to feel smart for learning the better way. The tone is "I've done this, here's proof, now you can too."
Signature phrases
- “NEVER use [old tool] again…”
- “R.I.P. to [outdated approach]”
- “The best part?”
- “This isn't just theory - I've used this system across multiple industries”
- “Most reps struggle with”
- “I just built a prompt”
Top 3 posts, dissected
Their highest-engagement posts, broken down line by line. Steal the structure.
NEVER use GPT for cold emails again… The new Gemini 3 prompt can write you a sequence in minutes Most reps struggle with booking meetings through email → Generic templates that feel spammy → Follow-ups nobody responds to → Dry pipeline I just built a prompt for Gemini 3 based on real sequences from 1000s of emails in my community that get upwards of 8% reply rates on cold emails. The capabilities are insane: → Writes full sequences instantly → Creates followups people actually respond to → Leads with value, not desperation for another deal This isn't just theory - I've used this system across multiple industries with the reps I coach. The best part? It costs $0 and can d this in minutes isnetad of spending hours trying to write effective messaging. I've included everything in the library: → The way for it to understand your offer → The inital email prompt t write effective initial emails → The structure to create full sequence that Want the prompts? - Connect with me (needs to be connected) - Comment “GEMS” below - Like this post I'll send it straight to your DMs in 24h P.S - We need to be connected so I can send it over P.S.S - If you want priority access to this repost this and I’ll get it over
NEVER use GPT for cold emails again stops the scroll by creating immediate cognitive dissonance. The reader is likely using GPT, so the prohibition feels urgent and slightly provocative. The follow-up (The new Gemini 3 prompt can write you a sequence in minutes) immediately justifies why they should care.
Opens with contrarian hook, then stacks the problem (Most reps struggle with booking meetings through email), lists three failure modes with arrows, pivots to the solution (I just built a prompt), backs it with social proof (1000s of emails, 8% reply rates), lists three capabilities with arrows, adds a credibility statement (This isn't just theory - I've used this system across multiple industries), then closes with a multi-step CTA (Connect, Comment, Like).
- Arrow bullets (→) to create visual rhythm and scanability
- Repetition of the phrase 'The best part?' to signal a payoff moment
- Parenthetical credibility note (This isn't just theory) to preempt skepticism
- Cost anchor (It costs $0) to remove friction
- Time anchor (in minutes instead of spending hours) to emphasize speed
Three-step CTA (Connect with me, Comment GEMS below, Like this post) with a promise (I'll send it straight to your DMs in 24h). The multi-step requirement filters for engaged readers and creates a sense of earned access, which drives comments as people publicly declare their interest.
Stack multiple small commitments (like, comment, connect) instead of one big ask, and always promise a specific delivery method (DMs in 24h) to make the CTA feel concrete rather than vague.
R.I.P. to generic cold email templates. Gemini 3 didn’t just outperform GPT-5… it straight up embarrassed it. I’ve tested every AI you can think of for cold emails. ChatGPT, Claude, Perplexity…. they were all “good” But you don’t stand out with “good.” So I built a prompt t …
R.I.P. to generic cold email templates uses a funeral metaphor to make the reader feel like they're mourning an outdated practice. The second line (Gemini 3 didn't just outperform GPT-5… it straight up embarrassed it) adds competitive drama and social proof in one sentence, making the reader want to know which tool won.
Opens with eulogy hook, adds competitive comparison, then reveals the creator tested multiple tools (ChatGPT, Claude, Perplexity), pivots to why 'good' isn't enough (You don't stand out with good), explains the solution (I built a prompt trained on 8% reply rate emails), then walks through the four-step process with arrows (You tell it which company, You tell it what persona, You tell it what is the trigger, Takes under 41 seconds), lists three outcomes, contrasts the old way (Most people are still prompting ChatGPT) with the new way (This is running 7-figure outbound in the background), then closes with a three-step CTA.
- Competitive comparison (ChatGPT, Claude, Perplexity… they were all good) to establish authority through testing
- Specific time metric (41 seconds) to create believability and speed anchor
- Outcome-focused language (It mimics human tonality, Creates a 7 step email sequence, And is ready to paste directly) to show immediate usability
- Contrast structure (Most people are still… This is running…) to position the reader as either behind or ahead
- Closing motivational phrase (Finish 2025 Strong 💪) to create urgency and tie to a time boundary
Three-step CTA (Like this post, Connect with me, Comment GEM) with a bonus incentive (Repost for priority access and a free 56m col…). The repost incentive drives shares by offering a higher-tier reward for amplification.
Use competitive testing language (I've tested every AI you can think of) to establish authority, then contrast the old way of doing things with the new way to make the reader feel like they have a choice between being behind or ahead.
NEVER use GPT for cold emails again… The new Gemini 3 prompt can write you a sequence in minutes Most reps struggle with booking meetings through email → Generic templates that feel spammy → Follow-ups nobody responds to → Dry pipeline I just built a prompt for Gemini 3 based…
March: $34,000 from LinkedIn DMs opens with a specific revenue number and platform, which is the highest-performing hook style in Aaron's data (statistic shock, 57 posts, avg 262 eng). The repetition of three months of revenue (March, April, May) creates a pattern that feels systematic rather than one-off luck.
Opens with three-month revenue breakdown, adds a summary statement (3 months. $90,000 closed won revenue. Half of our revenue from LinkedIn), then reveals the system exists (And here's the crazy part: We have a system to do this every single month), transitions to the value prop (I documented our LinkedIn DM templates), lists four benefits with dashes (Why 90% of outreach fails, The psychology behind replies, The Smart Outreach Formula, This is the same guide that transformed our DMs), adds a credibility statement (And it's FREE (for now)), then closes with a three-step CTA plus a bonus incentive for reposts.
- Stacked revenue numbers to create proof of consistency, not luck
- Percentage claim (Half of our revenue from LinkedIn) to show the channel's importance
- Parenthetical urgency (for now) to create scarcity and FOMO
- Benefit-driven dashes instead of arrows for variety in visual rhythm
- Percentage stat (Why 90% of outreach fails) to create contrast with the 10% that works
- Repost incentive (These can go VIRAL so if you want priority access…) to encourage amplification
Three-step CTA (Like this post, Comment DM, Send me a connection) with a dual incentive: priority access and a free guide on how to use AI with LinkedIn DMs. The repost bonus creates a secondary conversion path for readers who want to amplify.
Lead with specific revenue numbers across multiple time periods to prove the system is repeatable, then use percentage claims (90% fail, 10% succeed) to position your method as rare and valuable.
What drives their engagement
Multi-step CTAs that require public declaration (Comment GEMS, Comment DM) drive 49.9% of engagement as comments. Readers comment to signal interest and claim their spot in the queue for the DM. The three-step requirement (like, comment, connect) also creates friction that filters for serious readers, making comments feel like a commitment rather than a throwaway interaction.
Repost incentives (priority access, free guides, bonus content) are explicitly offered in the top posts. Aaron also uses phrases like These can go VIRAL to give readers permission to amplify. However, his repost rate is only 0.8%, suggesting he optimizes for comments and likes over shares.
Low. Aaron's posts are designed for immediate action (comment, connect, get DM) rather than reference. The content is timely (Gemini 3 just launched, LinkedIn DMs are current) and action-oriented, so readers engage now rather than save for later.
Content pillars
AI-Powered Cold Email Templates
35%Teaches how to use Gemini or Claude to write high-reply-rate sequences based on real data from his community (8% reply rates cited repeatedly).
LinkedIn DM Revenue Systems
25%Shares specific revenue numbers ($34k-$90k) from LinkedIn outreach and the psychology/formulas that drive replies.
Sales Development Frameworks
25%Numbered lists and breakdowns of why generic templates fail and what separates top 10% of outreach from the rest.
Tactical Outbound Playbooks
15%Step-by-step sequences, follow-up structures, and persona-targeting strategies for SaaS sellers.
Hook patterns
Contrarian Prohibition
NEVER use [old tool/method] again… + immediate reason why it's obsolete
“NEVER use GPT for cold emails again… The new Gemini 3 prompt can write you a sequence in minutes”
→ Stops scroll by creating urgency and permission to abandon what the reader is currently doing, then immediately justifies the claim.
Eulogy for Outdated Practice
R.I.P. to [generic/old approach] + proof that a better tool exists
“R.I.P. to generic cold email templates. Gemini 3 didn't just outperform GPT-5… it straight up embarrassed it.”
→ Combines humor and competitive comparison to make the reader feel like they're behind if they're still using the old way.
Revenue Shock Opening
Specific dollar amount + time period + platform, then reveal the system behind it
“March: $34,000 from LinkedIn DMs / April: $27,000 from LinkedIn DMs / May: $29,000 from LinkedIn DMs”
→ Concrete numbers create credibility and make the reader believe the method is real, not theoretical.
Problem Stack
Most [audience] struggle with [outcome] → [3 specific failure modes with arrows]
“Most reps struggle with booking meetings through email → Generic templates that feel spammy → Follow-ups nobody responds to → Dry pipeline”
→ Validates the reader's pain before offering the solution, making them feel seen and more receptive to the fix.
Capability Reveal
The capabilities are insane: → [3-4 specific outcomes with arrows]
“The capabilities are insane: → Writes full sequences instantly → Creates followups people actually respond to → Leads with value, not desperation for another deal”
→ Uses short, benefit-driven bullets to show what the tool/system does without requiring the reader to infer value.
Social Proof Anchor
I've [action] based on [data scale] that [specific result metric]
“I just built a prompt for Gemini 3 based on real sequences from 1000s of emails in my community that get upwards of 8% reply rates on cold emails.”
→ Combines personal credibility (I built this) with scale (1000s of emails) and a specific metric (8% reply rate) to make the claim feel tested.
Top-performing hooks
“NEVER use GPT for cold emails again…”
→ The post uses a high-friction 'comment-to-receive' CTA which triggers the LinkedIn algorithm through high engagement volume while solving a specific pain point (low reply rates) with a trending tool.
“R.I.P. to generic cold email templates.”
→ The post leverages a high-friction 'comment-to-receive' CTA which drives massive engagement signals to the algorithm while positioning the creator as an expert with a proprietary, high-performing tool
“March: $34,000 from LinkedIn DMs”
→ The post combines social proof (specific revenue figures) with urgency (free offer ending soon) and a multi-step engagement mechanism (like, comment, connect) that maximizes reach while qualifying int
“December: $30,000 from LinkedIn DMs”
→ The post leads with specific, month-by-month revenue numbers that create immediate credibility and curiosity, then gates a free resource behind engagement actions (like, comment, connect), which drive
What works
- Contrarian hooks (NEVER use GPT again, R.I.P. to generic templates) average 863 engagement, 3.3x the overall average. These stop the scroll by creating cognitive dissonance and permission to abandon current practices.
- Problem-solution format (27% of posts, 407 avg engagement) outperforms numbered lists (34% of posts, 109 avg engagement) by 3.7x. Aaron uses this format in his top 3 posts, proving it's his highest-leverage structure.
- Multi-step CTAs (Like, Comment, Connect) drive 1343 comments on post #1 (2028 total engagement). The friction of three steps filters for engaged readers and creates public commitment.
- Specific metrics (8% reply rates, $34k-$90k revenue, 41 seconds, 1000s of emails) anchor credibility. Posts with 2-3 specific numbers average higher engagement than posts with vague claims.
- Free gated resources (prompts, templates, guides) create urgency and a reason to comment. The phrase And it's FREE (for now) adds scarcity to remove hesitation.
- Arrow bullets (→) and dashes create visual rhythm and make dense information scannable. Aaron uses these in 80% of his top posts.
Steal this for your own LinkedIn
- Open with a contrarian prohibition (NEVER use X again… or R.I.P. to X) followed immediately by a reason why. Test this on your next post and measure comments vs. your baseline.
- Stack three specific metrics or outcomes with arrows or dashes instead of writing them as prose. This forces you to be concrete and makes the post more scannable.
- Use a three-step CTA (Like, Comment with keyword, Connect) instead of a single ask. The friction filters for engaged readers and drives comments as people publicly declare interest.
- Lead with a problem stack (Most [audience] struggle with [outcome] → [failure mode 1] → [failure mode 2] → [failure mode 3]) to validate the reader before offering the solution.
- Add a parenthetical urgency note (for now, limited spots, while supplies last) to create FOMO without being salesy.
- Post on Thursday at 9 AM UTC if your audience is US-based or Europe-based. Test this timing for 2 weeks and compare engagement to your current posting schedule.
Compare Aaron with…
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Posting patterns
Aaron posts 11.6 times per week, averaging 5 posts every 2-3 days, with 35 posts in the last 30 days. This high cadence keeps him visible in followers' feeds and allows him to test multiple angles on the same topic.
Thursday at 9 AM UTC performs best. This timing likely catches US morning scrolling (4 AM ET) and European mid-morning (10 AM CET), maximizing overlap across time zones.
Medium-length posts (80-180 words) average 441 engagement, outperforming both very long (350+ words, 109 eng) and short (30-80 words, 104 eng) posts. This range allows enough detail to build credibility without overwhelming mobile readers. Aaron's top posts are longer (1200+ chars), but they use heavy formatting (arrows, dashes, line breaks) to create visual breaks that make them feel scannable.
Engagement by day
Content mix
avg 109 engagements per post
avg 407 engagements per post
avg 140 engagements per post
avg 919 engagements per post
avg 100 engagements per post
avg 1.7K engagements per post
Aaron's 27% problem-solution posts (407 avg engagement) vastly outperform his 34% numbered lists (109 avg engagement), yet he posts more lists. This suggests he uses lists for consistency and reach while reserving problem-solution for his highest-leverage ideas. The 49.9% conversation rate indicates his audience is engaged and willing to comment, which rewards the multi-step CTA strategy. His high posting frequency (11.6 per week) allows him to test multiple angles on the same topic (Gemini 3 prompts appear in posts 1, 2, and 3) without fatigue, since each post targets a slightly different hook or benefit.
