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@PureSlap
Helping businesses implement AI-powered automations into their systems.
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October final analysis: Volume: 1,000+ emails Warm leads: 115 (11.5% engagement rate) Replies: 17 (1.7% response rate) Clients closed: 0 The drop-off happened at "Replies" to "Clients closed". That's where trust dies in cold outreach.
Behavioral analysis: Why free offers can backfire 31 people re-read my free pilot offer but didn't respond. Cognitive biases at play: - Reciprocity anxiety - Quality signaling The offer wasn't the problem. The lack of social proof was.
The trust equation in B2B sales: Trust = (Credibility x Reliability)/Self-Interest My October scorecard: Credibility: 0 (no testimonials) Reliability: 0 (no track record) Trust score: 0 No amount of messaging optimization fixes a broken trust equation. 31 read, none replied.
Free pilot results broke my mental model: Opens: 48% Double-reads: 31 (highest engagement yet) Replies: 5 But the replies revealed the real issue. When something valuable is free, it triggers suspicion. People trust what they pay for more than what's free.
The FREE pilot experiment: Testing price as a variable. Hypothesis: If 1,000 emails at $/mo got 0 clients, removing price entirely should eliminate the objection. Offer structure: - Entirely free - I build, implement, track results - Ask for testimonial This should've worked.
A/B Test: Pricing Transparency (Week 4 Results) Group A (500 emails): - Price shown - Open rate: 44% - Replies: 9 Group B (300 emails): - No price, CTA: "Book a call" - Open rate: 31% - Replies: 3 Conclusion: Price transparency increased engagement significantly.
After collecting data on HVAC and Dental practices. These were the final results: HVAC - 34% opens, 12 warm leads. Dental - 47% opens, 23 warm leads, 4 replies. The numbers don't lie, there was a clear winner.
Dental practices were the breakthrough niche. High-stakes pain points: - No-shows cost $200-500/app - Manual processes = time killer Clear ROI calculation: - Reduce 10 no-shows/month = $3k saved - Automate 20 hours = $800 labor cost When the math is obvious, engagement follows
How I researched HVAC industry pain points: 1. Read 20 industry case studies 2. Identified recurring complaints 3. Mapped pain points to my workflows Top 3 findings: - Slow lead response - No-show service calls - Manual follow-up Built emails addressing each specifically.
Week 4: I pivoted to high-value niches. Theory: Yoga Studios aren't converting because of budget. New target: - HVAC companies - Dental practices Strategy: Deep research on industry-specific pain points before outreach. The research phase matters more than the pitch itself.
Week 3 insight on vanity metrics: I celebrated: 52% open rate (best yet) 3 reply conversations But I still had: 0 qualified discovery calls 0 budget discussions Engagement metrics were good. Revenue metrics matter. Track what actually moves the needle.
Two replies I got taught me about false signals in sales: Reply 2: "Send more info" - Potential dismissal disguised as interest Reply 3: "Maybe later" - Rejection Real buying signals: "Let's get on a call" "When can we start?" Learn to distinguish curiosity from intent.
I doubled down on Yoga Studios in Week 3. Why niche focus beats spray-and-pray: Broad approach (Week 1-2): - Generic messaging - 23% avg open rate Niche focus (Week 3): - Industry-specific pain points - 52% open rate Specificity signals expertise.
The psychology behind pricing transparency in cold outreach: When you hide pricing: - Increases perceived risk - Requires more trust to engage When you show pricing: - Self-qualifies prospects - Reduces decision fatigue 52% open rate proved transparency wins.
Week 3: I tested pricing transparency in cold outreach. Hypothesis: Price objections happen because people fear hidden costs. Test: Group A: Price in email Group B: "Book a call to discuss" Opens: 52% vs 38% Replies: 9 vs 3 Transparency reduced friction by 40%.
By the end of Week 2: 400+ emails sent 3 niches tested Calendly added Message framework dialed in Results: 8 responses, 0 calls booked I was getting closer. Just missing one thing: proof.
Week 2 insight that changed everything: High open rates = right message, right audience Zero bookings = missing credibility I found the RIGHT people. I just couldn't prove I could help them.
Why Yoga Studios responded best: They had clear automation needs: - Class booking - Payment recovery - Member reactivation I could speak their language. They opened emails. They just didn't trust me yet.
The Calendly experiment: Theory: Make it easier to book = more conversions Reality: - 450 people saw the Calendly link - 89 clicked it - 0 booked a call Low friction doesn't fix low trust.
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