Video summary
24 Saatte 5 Müşteri Toplantısı: Sıfır Reklamla E-posta Motoru
Main summary
Key takeaways
Business strategy: “0-ad” outbound email engine to book 5 client meetings in 24 hours
- Core idea: Build a repeatable outbound system that:
- Finds the right company decision-makers
- Warms up personalized company-domain emails to avoid spam
- Sends targeted multi-step email sequences
- Segments performance by campaign/app/service to scale across markets/countries—without ad spend
- Positioning: Email works best when selling to companies and when the offer is priced above ~$100/month (B2B buyers + recurring payments + lower churn likelihood if value is real).
Framework / playbook (implied “process”)
System requirements (must-have steps)
- Get company-domain email accounts (not personal Gmail) and ensure deliverability settings to avoid spam.
- Warm up emails for ~2 weeks using a controlled “pool” approach (send/receive and prevent spam placement).
- Build a target account list using filters such as:
- Industry and location
- Decision-maker role
- Tech stack / relevant keywords
- Send personalized messages (tone + decision-maker name).
- Run continuous follow-ups:
- Add a second-stage reminder after ~3 days
- Track & segment results by sector/service/country, then scale what works.
Two-step conversion sequence (example)
- Email #1:
- Direct greeting (Mr./Ms. + first name)
- One-sentence positioning
- What you can do for the recipient
- Invite to a short meeting or offer a demo/presentation
- Email #2 (3 days later):
- Remind recipient to review
- Restate value
- Propose again (e.g., a 15-minute meeting)
Campaign scaling loop
- Track which campaigns perform (conversion rates per app/service, sector, and country).
- Double down on winning segments, then expand to the next country if successful.
Key metrics & KPIs mentioned (with implied targets)
Reach / volume
- ~216,000 people/companies reached in 6 months
- ~30,000 emails per week
Overall conversion
- ~6% conversion rate
- Reported stability around 5–6% across recent windows (last 4 weeks / 3 months / 6 months)
Funnel breakdown (example: “last 6 months”)
- Reached: ~216,000
- Conversion: ~6% respond
- ~1,285 conversions / positive “turn back”
- Further stated:
- ~50% positive / 50% negative
- ~15% visited the website (from responders / interest)
Market-specific benchmarks
- Türkiye: ~7–12% conversion
- Abroad: ~3–5% conversion
- Explanation: mixing markets reduces the blended conversion slightly.
Deliverability / engagement claims
- Open rate: ~60–70%
- Click-through to link: ~~15%
- Claim: avoid certain tracking practices because links can trigger spam placement in Gmail/Outlook.
Product/service effectiveness (by campaign type)
- Reported conversion examples: 8%, 8%, 5%, 10%, 10%, 11%
- Voice agent segment
- 32% conversion
- Only 5 were “very serious” prospects
- UGC video segment
- Sent: 32
- Relevant: 15
- GIO recommendations segment
- Responded to: 38
- Particularly valuable: 11
Retention / LTV logic (recurring revenue math)
- Example: $300/month → $3,600/year
- If you acquire 10 customers in 3 months and retain 12 months:
- $36,000 profit (illustrative; assumes minimal acquisition cost)
Cost / profitability claims
- Email + list sourcing costs described as very low:
- “$15 to create 5,000 companies”
- Sending emails to 5,000 costs ~$100
- Overall claim: acquiring ~$36,000 of customer value for ~$150 yields very high profitability.
Concrete examples / case evidence (apps + conversion interpretation)
-
Three outbound offerings targeted via email:
- AI UGC-style video creation (AI-generated UGC-style content)
- Voice agent service
- GIO (AI recommendations for a company)
-
Interpretation: “high conversion” doesn’t necessarily mean “high-quality buyers.”
- Even with 32% conversion (voice agent), only a subset becomes “serious” buyers (5).
- Conclusion: outbound success depends on selecting decision-makers and measuring value outcomes, not just replies.
Actionable recommendations (what to do next)
List building (decision-maker targeting)
- Use list platforms/tools:
- Epify (Lead Finder + scrapers)
- Pricing example: $2 per 1,000 customers
- Starts free
- LeadMesh (positioned as cheaper than Apollo; example comparison suggests Apollo could cost >$200 per customer at scale)
- Epify (Lead Finder + scrapers)
- Apply filters for:
- Location (e.g., Türkiye, Germany)
- Company size / industry (e.g., e-commerce, furniture)
- Decision-maker roles (general manager, founder, marketing manager; plus additional managers for e-commerce)
- Tech stack (e.g., Shopify / BigCommerce / WooCommerce) and keywords (e.g., “e-commerce”, “furniture”)
Deliverability & spam avoidance
- Send from company-domain emails (multiple domains used as examples).
- Warm up over ~2 weeks to reduce spam risk.
- Avoid tracking links in email (claim: links increase spam likelihood).
Email copy structure (tactical template)
- Greeting: Mr./Ms. + first name
- 1-sentence positioning: “technology solution partner” + AI automation
- Benefits: what workflows/content/voice agents you can automate for them
- CTA:
- Suggest a 15-minute meeting, or
- Offer a personalized demo/presentation + dedicated demo account/credits
- Keep the company name as text, not a clickable URL, to reduce spam risk.
Follow-up schedule
- Send a second email after ~3 days as a reminder and value reiteration.
High-level “growth economics” logic (B2B execution focus)
- Why this can work without ads:
- B2B buyers respond better when you reach specific decision-makers
- Your offer is tied to ongoing value (subscription)
- Scaling thesis:
- Start with one country/segment; if conversion is strong, expand systematically to additional countries.
- Retention → profitability:
- If customers stay 6–12 months, email-driven CAC can be outweighed quickly by LTV.
Presenters / sources
- Presenter: Burhan E. Tarspar
- Name appears in email/domain examples like
burhanetarspar.com
- Name appears in email/domain examples like
- Explicit tools/source names mentioned: Epify and LeadMesh
- Other presenters / external sources: not explicitly named beyond the lead tools above.
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