Video summary

24 Saatte 5 Müşteri Toplantısı: Sıfır Reklamla E-posta Motoru

Main summary

Key takeaways

Business

Business strategy: “0-ad” outbound email engine to book 5 client meetings in 24 hours

  • Core idea: Build a repeatable outbound system that:
    1. Finds the right company decision-makers
    2. Warms up personalized company-domain emails to avoid spam
    3. Sends targeted multi-step email sequences
    4. 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:

    1. AI UGC-style video creation (AI-generated UGC-style content)
    2. Voice agent service
    3. 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)
  • 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
  • Explicit tools/source names mentioned: Epify and LeadMesh
  • Other presenters / external sources: not explicitly named beyond the lead tools above.

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