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Inside a GTM Engine: The Launchyfi Story

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Manage episode 515219317 series 3690082
Content provided by SaaSGenius.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SaaSGenius.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

When 60% of your sales messages never reach their target, you're not facing a messaging problem—you're facing an engineering problem.

Alex Aouad learned this the hard way, transforming a zero-close sales record into a predictable demo-booking machine by completely re-engineering the go-to-market stack.

In this episode, Alex reveals why generic "best practice" tools waste Ferrari-level products on Fiat-level engines, and how data-driven GTM engineering can turn failing outbound motions into conversion systems.

Talking points include:

  • How Alex turned a 40% data quality disaster into 90%+ accuracy and one demo per day per SDR.
  • Why the $500K-$5M revenue band is the perfect inflection point for GTM engineering investment.
  • The tactical stepping stone strategy: building an agency to validate a marketplace SaaS that will centralize all GTM tooling.

Listen to find out more about:

  • The three non-negotiable qualities Alex looks for in co-founders (beyond just complementary skills)
  • Why 95% accuracy isn't good enough when chasing perfection kills competitive advantage
  • How Alex structures three-month GTM engagements to guarantee data-driven optimization cycles

Key segments of this podcast and where you can tune in to go direct:

[00:02:50] The 40% data quality disaster costing your sales team 60 out of every 100 prospects before messages even land.

[00:14:00] Why Lemlist plus ruthless AB testing is important for early-stage founders.

[00:21:30] When gut instinct beats data in GTM decisions—and the exact revenue milestone where that flips

Follow SaaSGenius Podcast

For weekly insights from founders and operators who've actually built the systems behind sustainable SaaS growth. Whether you're navigating tool selection paralysis or scaling past $1M ARR, we bring you evidence-based strategies over industry hype.

Never Miss an Episode

Advertise With Us

Reach thousands of SaaS founders and decision-makers actively researching their next tool investment. Explore advertising and partnership opportunities with SaaS Genius.

Download Media Kit

Rate, Review & Subscribe on Apple Podcasts

"I love SaaSGenius Podcast." <– If that sounds like you, please give us a 5-star rating here! Taking the time to do that helps us support more SaaS founders and operators in accessing practical, research-driven insights on tool evaluation and growth strategies. Your review allows us to continue connecting our community with founders who've actually solved the problems you're facing.

Click here, scroll to the bottom, tap to rate with five stars, and select "Write a Review."

  continue reading

8 episodes

Artwork
iconShare
 
Manage episode 515219317 series 3690082
Content provided by SaaSGenius.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SaaSGenius.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

When 60% of your sales messages never reach their target, you're not facing a messaging problem—you're facing an engineering problem.

Alex Aouad learned this the hard way, transforming a zero-close sales record into a predictable demo-booking machine by completely re-engineering the go-to-market stack.

In this episode, Alex reveals why generic "best practice" tools waste Ferrari-level products on Fiat-level engines, and how data-driven GTM engineering can turn failing outbound motions into conversion systems.

Talking points include:

  • How Alex turned a 40% data quality disaster into 90%+ accuracy and one demo per day per SDR.
  • Why the $500K-$5M revenue band is the perfect inflection point for GTM engineering investment.
  • The tactical stepping stone strategy: building an agency to validate a marketplace SaaS that will centralize all GTM tooling.

Listen to find out more about:

  • The three non-negotiable qualities Alex looks for in co-founders (beyond just complementary skills)
  • Why 95% accuracy isn't good enough when chasing perfection kills competitive advantage
  • How Alex structures three-month GTM engagements to guarantee data-driven optimization cycles

Key segments of this podcast and where you can tune in to go direct:

[00:02:50] The 40% data quality disaster costing your sales team 60 out of every 100 prospects before messages even land.

[00:14:00] Why Lemlist plus ruthless AB testing is important for early-stage founders.

[00:21:30] When gut instinct beats data in GTM decisions—and the exact revenue milestone where that flips

Follow SaaSGenius Podcast

For weekly insights from founders and operators who've actually built the systems behind sustainable SaaS growth. Whether you're navigating tool selection paralysis or scaling past $1M ARR, we bring you evidence-based strategies over industry hype.

Never Miss an Episode

Advertise With Us

Reach thousands of SaaS founders and decision-makers actively researching their next tool investment. Explore advertising and partnership opportunities with SaaS Genius.

Download Media Kit

Rate, Review & Subscribe on Apple Podcasts

"I love SaaSGenius Podcast." <– If that sounds like you, please give us a 5-star rating here! Taking the time to do that helps us support more SaaS founders and operators in accessing practical, research-driven insights on tool evaluation and growth strategies. Your review allows us to continue connecting our community with founders who've actually solved the problems you're facing.

Click here, scroll to the bottom, tap to rate with five stars, and select "Write a Review."

  continue reading

8 episodes

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