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    <title>The Revenue Engine Podcast</title>
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    <description>The Revenue Engine Framework empowers Founders and CEOs to identify and fix common friction points that block Revenue Growth and Recovery in B2B Tech Companies. Specifically designed for Software, Service and SaaS Business Models, the Revenue Engine breaks down the Revenue Lifecycle into 8 distinct stages, which can be measured, tuned and refined like Performance Components. Powered by RS Tech Hub, The Revenue Engine Podcast sheds light on how to spot, verify and fix the most common revenue leaks.</description>
    <copyright>© 2026 Raphael Schwirtlich Technology Hub</copyright>
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    <pubDate>Wed, 09 Sep 2026 11:42:53 +0200</pubDate>
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      <title>The Revenue Engine Podcast</title>
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    <itunes:summary>The Revenue Engine Framework empowers Founders and CEOs to identify and fix common friction points that block Revenue Growth and Recovery in B2B Tech Companies. Specifically designed for Software, Service and SaaS Business Models, the Revenue Engine breaks down the Revenue Lifecycle into 8 distinct stages, which can be measured, tuned and refined like Performance Components. Powered by RS Tech Hub, The Revenue Engine Podcast sheds light on how to spot, verify and fix the most common revenue leaks.</itunes:summary>
    <itunes:subtitle>The Revenue Engine Framework empowers Founders and CEOs to identify and fix common friction points that block Revenue Growth and Recovery in B2B Tech Companies.</itunes:subtitle>
    <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
    <itunes:owner>
      <itunes:name>Raphael Schwirtlich Technology Hub</itunes:name>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>The 90-Day Churn Pattern — and Where It Actually Starts</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>The 90-Day Churn Pattern — and Where It Actually Starts</itunes:title>
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        <![CDATA[<p><b>The 90-Day Churn Pattern — and Where It Actually Starts</b></p><p><strong>Business Models: Software, SaaS</strong><br><strong>Stage 03: Onboarding<br></strong><br></p><p>Thirty days in, the metrics look fine. Ninety days in, a whole cohort leaves — and the investigation into why almost always leads back to a window nobody was watching. This episode covers why ninety-day churn shows up as a pattern, not an incident. We explain why early friction doesn't look like churn risk at the time. Why the handoff from Sales often sets the trajectory before CS ever gets involved. And which approach helps to actually move the number.</p><p><br></p>]]>
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        <![CDATA[<p><b>The 90-Day Churn Pattern — and Where It Actually Starts</b></p><p><strong>Business Models: Software, SaaS</strong><br><strong>Stage 03: Onboarding<br></strong><br></p><p>Thirty days in, the metrics look fine. Ninety days in, a whole cohort leaves — and the investigation into why almost always leads back to a window nobody was watching. This episode covers why ninety-day churn shows up as a pattern, not an incident. We explain why early friction doesn't look like churn risk at the time. Why the handoff from Sales often sets the trajectory before CS ever gets involved. And which approach helps to actually move the number.</p><p><br></p>]]>
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      <pubDate>Tue, 08 Sep 2026 08:23:31 +0200</pubDate>
      <author>RS Tech Hub</author>
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      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>275</itunes:duration>
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        <![CDATA[<p><b>The 90-Day Churn Pattern — and Where It Actually Starts</b></p><p><strong>Business Models: Software, SaaS</strong><br><strong>Stage 03: Onboarding<br></strong><br></p><p>Thirty days in, the metrics look fine. Ninety days in, a whole cohort leaves — and the investigation into why almost always leads back to a window nobody was watching. This episode covers why ninety-day churn shows up as a pattern, not an incident. We explain why early friction doesn't look like churn risk at the time. Why the handoff from Sales often sets the trajectory before CS ever gets involved. And which approach helps to actually move the number.</p><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>The Trial Activation Gap</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>The Trial Activation Gap</itunes:title>
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        <![CDATA[<p><b>The Trial Activation Gap</b></p><p><strong>Business Model: SaaS</strong></p><p><strong>Stage 02: Trial &amp; Conversion<br></strong><br></p><p>Signups look healthy. Trial-to-paid doesn't. This episode explains why that gap is where most product-led growth motions quietly stall. We cover why treating signup volume as a proxy for acquisition success hides the real story. Why a trial with no defined activation milestone can't tell a user three steps from converting apart from one who's already gone. And what it looks like to instrument the path to activation instead of just measuring what happens after.</p><p><br></p>]]>
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        <![CDATA[<p><b>The Trial Activation Gap</b></p><p><strong>Business Model: SaaS</strong></p><p><strong>Stage 02: Trial &amp; Conversion<br></strong><br></p><p>Signups look healthy. Trial-to-paid doesn't. This episode explains why that gap is where most product-led growth motions quietly stall. We cover why treating signup volume as a proxy for acquisition success hides the real story. Why a trial with no defined activation milestone can't tell a user three steps from converting apart from one who's already gone. And what it looks like to instrument the path to activation instead of just measuring what happens after.</p><p><br></p>]]>
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      <pubDate>Tue, 08 Sep 2026 08:23:22 +0200</pubDate>
      <author>RS Tech Hub</author>
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      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>289</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><b>The Trial Activation Gap</b></p><p><strong>Business Model: SaaS</strong></p><p><strong>Stage 02: Trial &amp; Conversion<br></strong><br></p><p>Signups look healthy. Trial-to-paid doesn't. This episode explains why that gap is where most product-led growth motions quietly stall. We cover why treating signup volume as a proxy for acquisition success hides the real story. Why a trial with no defined activation milestone can't tell a user three steps from converting apart from one who's already gone. And what it looks like to instrument the path to activation instead of just measuring what happens after.</p><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Three Reasons Your Win Rate Hasn't Moved in 12 Months</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Three Reasons Your Win Rate Hasn't Moved in 12 Months</itunes:title>
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        <![CDATA[<p><b>Three Reasons Your Win Rate Hasn't Moved in 12 Months</b></p><p><strong>Business Models: Software, Service</strong></p><p><strong>Stage 02: Sales Evaluation<br></strong><br></p><p>A falling win rate gets attention. A flat one gets ignored — until growth stops covering for it. This episode breaks down three reasons win rate stalls and stays stalled. We explain why none of this is a motivation problem, and how the approach needs to change for actual improvements.</p><p><br></p>]]>
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      <content:encoded>
        <![CDATA[<p><b>Three Reasons Your Win Rate Hasn't Moved in 12 Months</b></p><p><strong>Business Models: Software, Service</strong></p><p><strong>Stage 02: Sales Evaluation<br></strong><br></p><p>A falling win rate gets attention. A flat one gets ignored — until growth stops covering for it. This episode breaks down three reasons win rate stalls and stays stalled. We explain why none of this is a motivation problem, and how the approach needs to change for actual improvements.</p><p><br></p>]]>
      </content:encoded>
      <pubDate>Tue, 08 Sep 2026 08:23:12 +0200</pubDate>
      <author>RS Tech Hub</author>
      <enclosure url="https://media.transistor.fm/54f6c2ec/bd92438a.mp3" length="12074058" type="audio/mpeg"/>
      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>302</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><b>Three Reasons Your Win Rate Hasn't Moved in 12 Months</b></p><p><strong>Business Models: Software, Service</strong></p><p><strong>Stage 02: Sales Evaluation<br></strong><br></p><p>A falling win rate gets attention. A flat one gets ignored — until growth stops covering for it. This episode breaks down three reasons win rate stalls and stays stalled. We explain why none of this is a motivation problem, and how the approach needs to change for actual improvements.</p><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Why Your CRM Data Is Useless</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Why Your CRM Data Is Useless</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/bdf86001</link>
      <description>
        <![CDATA[<p><b>Why Your CRM Data Is Useless</b></p><p><strong>Business Models: Software, Service</strong><br><strong>Stage 02: Sales &amp; Evaluation<br></strong><br></p><p>The CRM is configured correctly — stages exist, fields are mandatory, reports run on schedule — and every forecast built from it is still a little bit fiction. This episode explains why that's a structural problem, not a rep-discipline problem. We cover the difference between configuring a tool and defining the process it's supposed to encode. And why reliable CRM data is a downstream consequence of a well-defined sales process, never the other way around.</p><p><br></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>Why Your CRM Data Is Useless</b></p><p><strong>Business Models: Software, Service</strong><br><strong>Stage 02: Sales &amp; Evaluation<br></strong><br></p><p>The CRM is configured correctly — stages exist, fields are mandatory, reports run on schedule — and every forecast built from it is still a little bit fiction. This episode explains why that's a structural problem, not a rep-discipline problem. We cover the difference between configuring a tool and defining the process it's supposed to encode. And why reliable CRM data is a downstream consequence of a well-defined sales process, never the other way around.</p><p><br></p>]]>
      </content:encoded>
      <pubDate>Tue, 08 Sep 2026 08:22:59 +0200</pubDate>
      <author>RS Tech Hub</author>
      <enclosure url="https://media.transistor.fm/bdf86001/51a591e6.mp3" length="10562066" type="audio/mpeg"/>
      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>264</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><b>Why Your CRM Data Is Useless</b></p><p><strong>Business Models: Software, Service</strong><br><strong>Stage 02: Sales &amp; Evaluation<br></strong><br></p><p>The CRM is configured correctly — stages exist, fields are mandatory, reports run on schedule — and every forecast built from it is still a little bit fiction. This episode explains why that's a structural problem, not a rep-discipline problem. We cover the difference between configuring a tool and defining the process it's supposed to encode. And why reliable CRM data is a downstream consequence of a well-defined sales process, never the other way around.</p><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Why Your MQL Definition Is Lying to Your Pipeline</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Why Your MQL Definition Is Lying to Your Pipeline</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/bf5e38a7</link>
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        <![CDATA[<p><strong>Why Your MQL Definition Is Lying to Your Pipeline</strong></p><p><br><strong>Business Models: Software, Service</strong></p><p><strong>Stage 01: Lead Acquisition</strong></p><p><br></p><p>Marketing hits the MQL target every quarter. Sales rejects half of them. Both sides are technically right, and the argument never resolves. This episode looks at why Marketing and Sales are usually working from two different definitions of a qualified lead that were never reconciled. Why the disagreement resurfaces every quarter as a scoring dispute and where the resulting cost actually lands.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>Why Your MQL Definition Is Lying to Your Pipeline</strong></p><p><br><strong>Business Models: Software, Service</strong></p><p><strong>Stage 01: Lead Acquisition</strong></p><p><br></p><p>Marketing hits the MQL target every quarter. Sales rejects half of them. Both sides are technically right, and the argument never resolves. This episode looks at why Marketing and Sales are usually working from two different definitions of a qualified lead that were never reconciled. Why the disagreement resurfaces every quarter as a scoring dispute and where the resulting cost actually lands.</p>]]>
      </content:encoded>
      <pubDate>Tue, 08 Sep 2026 08:22:33 +0200</pubDate>
      <author>RS Tech Hub</author>
      <enclosure url="https://media.transistor.fm/bf5e38a7/786dbab1.mp3" length="11065727" type="audio/mpeg"/>
      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>277</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>Why Your MQL Definition Is Lying to Your Pipeline</strong></p><p><br><strong>Business Models: Software, Service</strong></p><p><strong>Stage 01: Lead Acquisition</strong></p><p><br></p><p>Marketing hits the MQL target every quarter. Sales rejects half of them. Both sides are technically right, and the argument never resolves. This episode looks at why Marketing and Sales are usually working from two different definitions of a qualified lead that were never reconciled. Why the disagreement resurfaces every quarter as a scoring dispute and where the resulting cost actually lands.</p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>The Revenue Engine: Business Infrastructure Built for Performance</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>The Revenue Engine: Business Infrastructure Built for Performance</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">2014ccd0-b9d1-403e-a8d1-47f213ec602b</guid>
      <link>https://share.transistor.fm/s/31867ec1</link>
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        <![CDATA[<p><strong>The Revenue Engine: Business Infrastructure Built for Performance</strong></p><p><br></p><p><strong>Series Overview</strong></p><p><br></p><p>Most B2B tech companies pour everything into the front end — pitch, positioning, product UX — and hand customers off to a back-office machine nobody ever designed. This episode makes the case for treating the customer lifecycle not as a descriptive "journey" or "map", but as a performance component that can be measured, tuned and refined. The revenue engine consists of eight load-bearing stages, from lead acquisition to renewal and expansion, where friction anywhere in the chain is a revenue problem. We look at how this blind spot shows up differently in SaaS, tech services, and software products And why treating every stage with the same engineering standard is what separates a business that scales confidently from the ones just getting by.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong>The Revenue Engine: Business Infrastructure Built for Performance</strong></p><p><br></p><p><strong>Series Overview</strong></p><p><br></p><p>Most B2B tech companies pour everything into the front end — pitch, positioning, product UX — and hand customers off to a back-office machine nobody ever designed. This episode makes the case for treating the customer lifecycle not as a descriptive "journey" or "map", but as a performance component that can be measured, tuned and refined. The revenue engine consists of eight load-bearing stages, from lead acquisition to renewal and expansion, where friction anywhere in the chain is a revenue problem. We look at how this blind spot shows up differently in SaaS, tech services, and software products And why treating every stage with the same engineering standard is what separates a business that scales confidently from the ones just getting by.</p>]]>
      </content:encoded>
      <pubDate>Tue, 08 Sep 2026 08:20:12 +0200</pubDate>
      <author>RS Tech Hub</author>
      <enclosure url="https://media.transistor.fm/31867ec1/4385fb03.mp3" length="16225449" type="audio/mpeg"/>
      <itunes:author>RS Tech Hub</itunes:author>
      <itunes:duration>406</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong>The Revenue Engine: Business Infrastructure Built for Performance</strong></p><p><br></p><p><strong>Series Overview</strong></p><p><br></p><p>Most B2B tech companies pour everything into the front end — pitch, positioning, product UX — and hand customers off to a back-office machine nobody ever designed. This episode makes the case for treating the customer lifecycle not as a descriptive "journey" or "map", but as a performance component that can be measured, tuned and refined. The revenue engine consists of eight load-bearing stages, from lead acquisition to renewal and expansion, where friction anywhere in the chain is a revenue problem. We look at how this blind spot shows up differently in SaaS, tech services, and software products And why treating every stage with the same engineering standard is what separates a business that scales confidently from the ones just getting by.</p>]]>
      </itunes:summary>
      <itunes:keywords>revenue growth, revenue recovery, b2b tech, software, service, saas, revenue lifecycle, entrepreneurship, business, marketing, sales, customer success</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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