#177 Aleoop: Show Me The Sales!
Episode
39 min
Read time
2 min
Topics
Productivity, Remote Work, Investing
AI-Generated Summary
Key Takeaways
- ✓Free-to-Paid Conversion Risk: Running extended unpaid proof-of-concept periods creates dangerous precedent in B2B sales. Megan offers four-week free trials before transitioning to $15,000 annual contracts at $50 per user monthly with 25-user minimums, but investors challenge whether free customers will convert without demonstrated ROI metrics tied to specific revenue outcomes or time savings.
- ✓Product-Sales Alignment Data: Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals. The platform dollarizes insights by connecting to CRM records, showing affected pipeline value and enabling product teams to prioritize roadmap decisions based on revenue at risk rather than subjective opinions or internal politics.
- ✓Timing Product Launches: Megan's ML models went live in July, giving only six weeks of functional technology before pitching in August. Investors identify this timing gap as critical—she needs ninety days of customer usage data to generate case studies showing quantified outcomes like unknown product gaps identified, dollars saved, or sales cycle acceleration before commanding premium pricing.
- ✓Customer Qualification Discipline: Megan disqualified three of five initial pilot customers, focusing on Series B-C companies with 100-plus employees, $10 million-plus revenue, and complex sales cycles. This rigorous ideal customer profile targeting—rather than accepting any interested prospect—proves essential for building repeatable sales processes and generating relevant case studies for future enterprise deals.
- ✓Strategic Angel Leverage: Meeting investors at pitch events yields immediate customer opportunities beyond capital. Yev from Backblaze provided a $10,000 angel investment plus warm introductions that converted Backblaze into a proof-of-concept customer within minutes of Megan's pitch, demonstrating how strategic angels deliver distribution advantages that accelerate early traction beyond their check size.
What It Covers
Megan Scanlon pitches Aleoop, a machine learning platform that extracts product insights from sales conversations to help B2B tech companies prioritize roadmaps. She seeks $1 million pre-seed funding while running five unpaid pilots, facing investor skepticism about converting free trials to her $15,000 annual contract value target.
Key Questions Answered
- •Free-to-Paid Conversion Risk: Running extended unpaid proof-of-concept periods creates dangerous precedent in B2B sales. Megan offers four-week free trials before transitioning to $15,000 annual contracts at $50 per user monthly with 25-user minimums, but investors challenge whether free customers will convert without demonstrated ROI metrics tied to specific revenue outcomes or time savings.
- •Product-Sales Alignment Data: Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals. The platform dollarizes insights by connecting to CRM records, showing affected pipeline value and enabling product teams to prioritize roadmap decisions based on revenue at risk rather than subjective opinions or internal politics.
- •Timing Product Launches: Megan's ML models went live in July, giving only six weeks of functional technology before pitching in August. Investors identify this timing gap as critical—she needs ninety days of customer usage data to generate case studies showing quantified outcomes like unknown product gaps identified, dollars saved, or sales cycle acceleration before commanding premium pricing.
- •Customer Qualification Discipline: Megan disqualified three of five initial pilot customers, focusing on Series B-C companies with 100-plus employees, $10 million-plus revenue, and complex sales cycles. This rigorous ideal customer profile targeting—rather than accepting any interested prospect—proves essential for building repeatable sales processes and generating relevant case studies for future enterprise deals.
- •Strategic Angel Leverage: Meeting investors at pitch events yields immediate customer opportunities beyond capital. Yev from Backblaze provided a $10,000 angel investment plus warm introductions that converted Backblaze into a proof-of-concept customer within minutes of Megan's pitch, demonstrating how strategic angels deliver distribution advantages that accelerate early traction beyond their check size.
Notable Moment
Investor Mike Ma challenges Megan on why she built anything besides SOC 2 compliance if her own Aleoop analysis showed compliance blocking her entire pipeline. He pushes her to defend whether she truly believes her product roadmap decisions or if she's building features without market validation, forcing her to confront the gap between product vision and customer-driven development.
Episode Transcript
Welcome to The Pitch, where startup founders raise millions and listeners can invest. I'm Josh Muccio. And I'm Lisa Muccio. And on the show today, we have Megan with Alliope. She's raising $1,000,000. Alright. Let's role play. Okay. Who do you wanna be? Do you wanna be sales or or product? Oh, my gosh. Okay. I'll be product. I'm sales. Okay. Yeah. That sounds right. Yeah. We're building a company. Company name is Wangadoodle, and we are building an AI fountain pen. This is my dream. This AI fountain pen basically reads the doc for you and red lines it and then signs it for you through osmosis because you're just holding this pen. That's awesome. I've been talking to customers Yeah. And they really, really love that feature, but they also wanted to sign the documents on their computer. Oh, no. I don't think that's a need. No. And then they really, really want, like, every signature to be on the blockchain. And they're telling me they will pay millions for the blockchain feature. I don't think so. Because really, what I see is that Gen Z and millennials are really back into this, like, kind of retro time period where they want things that they can touch and feel, like paper, pen. You're not wrong, but I'm talking to the customers. I'm in sales. I know, but this is my dream is to build this company that uses paper and pen. If only there was a way to resolve this dispute. Only. But wait. There's Alleyoop. Megan Scanlon is building Alleyoop, which brings data into the picture so that sales and product can make informed decisions on the product roadmap and stop fighting. Wengadoodle to the moon. The pitch for Alley Oop is coming up after this. And if you wanna join us for the live taping of season 16, we are gonna be in Tampa this April. Learn more about our upcoming show at pitch.show/tampa. And if you're a founder, apply to pitch at pitch.show/apply. Support for the pitch comes from Adobe. Life is unpredictable. So is your work. You need a system that adapts with whatever gets thrown at you. That means mastering the ability to pivot and collaborate with others to reach your goals. Adobe gets that, which is why they made a tool that's just as flexible as you are. PDF spaces in Acrobat Studio. Your PDF files are no longer static. Instead, they're living documents that flex with you and your project's needs. Learn more at adobe.com/dothatwithacrobat. Welcome back to the pitch for Ally Oop. Let's meet the investors. Elizabeth Yin with HUSLE Fund. Can I ask you a very direct question? Jesse Middleton with Flybridge. I'm so sick of people that are building stuff for building stuff's sake. Laura Lucas with Latitude Ventures. You are everything I am looking for in a founder. And Mike Ma with Sidecut Ventures. Come on, guys. Like, what kind of risk are you looking for? You …
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Books, tools, and gear mentioned in this episode
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Tools
“Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals.”
“Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals.”
“Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals.”
“Aleoop ingests unstructured feedback from Gong, Slack, Jira, Salesforce, and email through proprietary ML models to identify product gaps blocking deals.”
company
“Yev from Backblaze provided a $10,000 angel investment plus warm introductions that converted Backblaze into a proof-of-concept customer within minutes of Megan's pitch.”
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