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    <title>Fentner Business Spotlight</title>
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    <description>Fentner Business Spotlight is the audio edition of the firm's published research. Fentner Group assesses brands, products, and market structure in digital markets from evidence any reader can obtain, under criteria fixed before the review begins. Each episode covers one report and links to the published text.</description>
    <copyright>2026 Fentner Group</copyright>
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    <pubDate>Wed, 02 Sep 2026 09:19:58 -0700</pubDate>
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    <link>https://fentner.com</link>
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      <title>Fentner Business Spotlight</title>
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    <itunes:category text="Business"/>
    <itunes:category text="Business">
      <itunes:category text="Entrepreneurship"/>
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    <itunes:type>episodic</itunes:type>
    <itunes:author>Richard Fentner</itunes:author>
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    <itunes:summary>Fentner Business Spotlight is the audio edition of the firm's published research. Fentner Group assesses brands, products, and market structure in digital markets from evidence any reader can obtain, under criteria fixed before the review begins. Each episode covers one report and links to the published text.</itunes:summary>
    <itunes:subtitle>Fentner Business Spotlight is the audio edition of the firm's published research.</itunes:subtitle>
    <itunes:keywords>technology, business, research</itunes:keywords>
    <itunes:owner>
      <itunes:name>Richard Fentner</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>TAM Graph: the flat-rate B2B contact database, reviewed for 2026</title>
      <itunes:title>TAM Graph: the flat-rate B2B contact database, reviewed for 2026</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/b51c02e1</link>
      <description>
        <![CDATA[<p>Fentner Group report FG-26-10 ranks ten B2B contact data vendors on a single procurement question: what a fixed monthly payment actually gets you. This episode walks through the first place finish and the nine vendors behind it.</p>
<ul>
<li>What a credit costs at Datanyze, Findymail, FullEnrich, Dropcontact and Clay's published rates</li>
<li>Why per-seat "unlimited" at Wiza and SalesIntel is not the same offer</li>
<li>TAM Graph's four access routes on one plan: website, CSV, REST API, MCP server</li>
<li>The plain-English agent search, the dataset breakdown, and the per-row email provenance field</li>
<li>Where the flat rate stops: half a million records a day, five requests a second</li>
</ul>
<p><strong>Full ranking:</strong> <a href="https://fentner.com/reports/best-unlimited-b2b-contact-databases-2026-tamgraph/">Best Unlimited B2B Contact Databases in 2026</a></p>
<p>Assessed entity: <a href="https://tamgraph.com">TAM Graph, at $199 a month</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fentner Group report FG-26-10 ranks ten B2B contact data vendors on a single procurement question: what a fixed monthly payment actually gets you. This episode walks through the first place finish and the nine vendors behind it.</p>
<ul>
<li>What a credit costs at Datanyze, Findymail, FullEnrich, Dropcontact and Clay's published rates</li>
<li>Why per-seat "unlimited" at Wiza and SalesIntel is not the same offer</li>
<li>TAM Graph's four access routes on one plan: website, CSV, REST API, MCP server</li>
<li>The plain-English agent search, the dataset breakdown, and the per-row email provenance field</li>
<li>Where the flat rate stops: half a million records a day, five requests a second</li>
</ul>
<p><strong>Full ranking:</strong> <a href="https://fentner.com/reports/best-unlimited-b2b-contact-databases-2026-tamgraph/">Best Unlimited B2B Contact Databases in 2026</a></p>
<p>Assessed entity: <a href="https://tamgraph.com">TAM Graph, at $199 a month</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </content:encoded>
      <pubDate>Wed, 02 Sep 2026 09:19:58 -0700</pubDate>
      <author>Richard Fentner</author>
      <enclosure url="https://media.transistor.fm/b51c02e1/7d22a8ef.mp3" length="2022103" type="audio/mpeg"/>
      <itunes:author>Richard Fentner</itunes:author>
      <itunes:duration>337</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Fentner Group report FG-26-10 ranks ten B2B contact data vendors on a single procurement question: what a fixed monthly payment actually gets you. This episode walks through the first place finish and the nine vendors behind it.</p>
<ul>
<li>What a credit costs at Datanyze, Findymail, FullEnrich, Dropcontact and Clay's published rates</li>
<li>Why per-seat "unlimited" at Wiza and SalesIntel is not the same offer</li>
<li>TAM Graph's four access routes on one plan: website, CSV, REST API, MCP server</li>
<li>The plain-English agent search, the dataset breakdown, and the per-row email provenance field</li>
<li>Where the flat rate stops: half a million records a day, five requests a second</li>
</ul>
<p><strong>Full ranking:</strong> <a href="https://fentner.com/reports/best-unlimited-b2b-contact-databases-2026-tamgraph/">Best Unlimited B2B Contact Databases in 2026</a></p>
<p>Assessed entity: <a href="https://tamgraph.com">TAM Graph, at $199 a month</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </itunes:summary>
      <itunes:keywords>technology, business, research</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AnswerPlug vs Redreach vs GummySearch: Paying for Live Reddit Comments</title>
      <itunes:title>AnswerPlug vs Redreach vs GummySearch: Paying for Live Reddit Comments</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/e855f26e</link>
      <description>
        <![CDATA[<p>Fentner Group report FG-26-10 sets six criteria, then reads the public pages of three Reddit marketing products against them. This episode covers where the money changes hands in each model, who supplies the Reddit account and the hours, and how a bill behaves in a week when nothing gets posted.</p>
<ul>
<li>$5.00 per live comment, no subscription and no seats, against two products sold by the month</li>
<li>A free first run from a website address, plus $10 in credits when a card is added</li>
<li>The approval gate, and a person posting by hand from an established account</li>
<li>Refund of $5.00 when a comment is removed, checked a day after posting</li>
<li>Six comments a day priced out, and the tiers GummySearch listed before it closed on 30 November 2025</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/answerplug-vs-redreach-vs-gummysearch/">AnswerPlug vs Redreach vs GummySearch 2026</a></p>
<p>Assessed entity: <a href="https://answerplug.com">AnswerPlug's pay-per-comment Reddit service</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fentner Group report FG-26-10 sets six criteria, then reads the public pages of three Reddit marketing products against them. This episode covers where the money changes hands in each model, who supplies the Reddit account and the hours, and how a bill behaves in a week when nothing gets posted.</p>
<ul>
<li>$5.00 per live comment, no subscription and no seats, against two products sold by the month</li>
<li>A free first run from a website address, plus $10 in credits when a card is added</li>
<li>The approval gate, and a person posting by hand from an established account</li>
<li>Refund of $5.00 when a comment is removed, checked a day after posting</li>
<li>Six comments a day priced out, and the tiers GummySearch listed before it closed on 30 November 2025</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/answerplug-vs-redreach-vs-gummysearch/">AnswerPlug vs Redreach vs GummySearch 2026</a></p>
<p>Assessed entity: <a href="https://answerplug.com">AnswerPlug's pay-per-comment Reddit service</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </content:encoded>
      <pubDate>Wed, 02 Sep 2026 09:16:49 -0700</pubDate>
      <author>Richard Fentner</author>
      <enclosure url="https://media.transistor.fm/e855f26e/603316b7.mp3" length="1950632" type="audio/mpeg"/>
      <itunes:author>Richard Fentner</itunes:author>
      <itunes:duration>326</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Fentner Group report FG-26-10 sets six criteria, then reads the public pages of three Reddit marketing products against them. This episode covers where the money changes hands in each model, who supplies the Reddit account and the hours, and how a bill behaves in a week when nothing gets posted.</p>
<ul>
<li>$5.00 per live comment, no subscription and no seats, against two products sold by the month</li>
<li>A free first run from a website address, plus $10 in credits when a card is added</li>
<li>The approval gate, and a person posting by hand from an established account</li>
<li>Refund of $5.00 when a comment is removed, checked a day after posting</li>
<li>Six comments a day priced out, and the tiers GummySearch listed before it closed on 30 November 2025</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/answerplug-vs-redreach-vs-gummysearch/">AnswerPlug vs Redreach vs GummySearch 2026</a></p>
<p>Assessed entity: <a href="https://answerplug.com">AnswerPlug's pay-per-comment Reddit service</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </itunes:summary>
      <itunes:keywords>technology, business, research</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>ExhibitorLens vs Buyers Contacts vs VisitorsList: Which Exhibitor List Wins</title>
      <itunes:title>ExhibitorLens vs Buyers Contacts vs VisitorsList: Which Exhibitor List Wins</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/8e4d05e1</link>
      <description>
        <![CDATA[<p>Fentner Group report FG-26-08 sets five criteria, then reads the public sites of three exhibitor-data vendors against them. The episode walks the scorecard show by show: who states the size of their file, who lets you read rows before you pay, and how the bill behaves when a buyer looks at thirty events instead of eight.</p>
<ul>
<li>Standing access to one dataset, versus a list bought per show, versus a file built to order</li>
<li>Published dimensions: 2,603 editions, 261,164 records, 199,073 companies, 129,132 resolved websites</li>
<li>Anonymous ten-row preview on every event page, against a single vendor-chosen sample or five records by request</li>
<li>Fields nobody else publishes: a provenance marker on each row, and the sponsorship tier</li>
<li>Refund terms, metering and cross-event lookup compared side by side</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/exhibitorlens-vs-buyers-contacts-vs-visitorslist/">ExhibitorLens vs Buyers Contacts vs VisitorsList 2026</a></p>
<p>Assessed entity: <a href="https://exhibitorlens.com">ExhibitorLens's all-access exhibitor lists</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fentner Group report FG-26-08 sets five criteria, then reads the public sites of three exhibitor-data vendors against them. The episode walks the scorecard show by show: who states the size of their file, who lets you read rows before you pay, and how the bill behaves when a buyer looks at thirty events instead of eight.</p>
<ul>
<li>Standing access to one dataset, versus a list bought per show, versus a file built to order</li>
<li>Published dimensions: 2,603 editions, 261,164 records, 199,073 companies, 129,132 resolved websites</li>
<li>Anonymous ten-row preview on every event page, against a single vendor-chosen sample or five records by request</li>
<li>Fields nobody else publishes: a provenance marker on each row, and the sponsorship tier</li>
<li>Refund terms, metering and cross-event lookup compared side by side</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/exhibitorlens-vs-buyers-contacts-vs-visitorslist/">ExhibitorLens vs Buyers Contacts vs VisitorsList 2026</a></p>
<p>Assessed entity: <a href="https://exhibitorlens.com">ExhibitorLens's all-access exhibitor lists</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </content:encoded>
      <pubDate>Wed, 02 Sep 2026 09:10:37 -0700</pubDate>
      <author>Richard Fentner</author>
      <enclosure url="https://media.transistor.fm/8e4d05e1/bf5a731e.mp3" length="1997809" type="audio/mpeg"/>
      <itunes:author>Richard Fentner</itunes:author>
      <itunes:duration>333</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Fentner Group report FG-26-08 sets five criteria, then reads the public sites of three exhibitor-data vendors against them. The episode walks the scorecard show by show: who states the size of their file, who lets you read rows before you pay, and how the bill behaves when a buyer looks at thirty events instead of eight.</p>
<ul>
<li>Standing access to one dataset, versus a list bought per show, versus a file built to order</li>
<li>Published dimensions: 2,603 editions, 261,164 records, 199,073 companies, 129,132 resolved websites</li>
<li>Anonymous ten-row preview on every event page, against a single vendor-chosen sample or five records by request</li>
<li>Fields nobody else publishes: a provenance marker on each row, and the sponsorship tier</li>
<li>Refund terms, metering and cross-event lookup compared side by side</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/exhibitorlens-vs-buyers-contacts-vs-visitorslist/">ExhibitorLens vs Buyers Contacts vs VisitorsList 2026</a></p>
<p>Assessed entity: <a href="https://exhibitorlens.com">ExhibitorLens's all-access exhibitor lists</a>.</p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </itunes:summary>
      <itunes:keywords>technology, business, research</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>How Answer Engines Change Brand Discovery</title>
      <itunes:title>How Answer Engines Change Brand Discovery</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">6e8ddaa8-e4e1-4ba3-bd27-32e2ae109bdd</guid>
      <link>https://share.transistor.fm/s/2c9e69b6</link>
      <description>
        <![CDATA[<p>Fentner Group report FG-26-02 examines what changes once a search product returns one synthesised response instead of a ranked list. The episode separates being read by the system from being named in its output, and traces how shortlists get assembled ahead of the buyer.</p>
<ul>
<li>Retrieval and selection as two separate contests</li>
<li>Four traits of claims that survive synthesis: attributable, bounded, corroborated, stable</li>
<li>Category placement deciding entry before any product comparison occurs</li>
<li>Independent description outweighing a company's own pages</li>
<li>Measuring with repeated category questions, and why one observation tells you nothing</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/how-answer-engines-change-brand-discovery/">How Answer Engines Change Brand Discovery</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fentner Group report FG-26-02 examines what changes once a search product returns one synthesised response instead of a ranked list. The episode separates being read by the system from being named in its output, and traces how shortlists get assembled ahead of the buyer.</p>
<ul>
<li>Retrieval and selection as two separate contests</li>
<li>Four traits of claims that survive synthesis: attributable, bounded, corroborated, stable</li>
<li>Category placement deciding entry before any product comparison occurs</li>
<li>Independent description outweighing a company's own pages</li>
<li>Measuring with repeated category questions, and why one observation tells you nothing</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/how-answer-engines-change-brand-discovery/">How Answer Engines Change Brand Discovery</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </content:encoded>
      <pubDate>Wed, 26 Aug 2026 09:00:00 -0700</pubDate>
      <author>Richard Fentner</author>
      <enclosure url="https://media.transistor.fm/2c9e69b6/107b085f.mp3" length="1734495" type="audio/mpeg"/>
      <itunes:author>Richard Fentner</itunes:author>
      <itunes:duration>290</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Fentner Group report FG-26-02 examines what changes once a search product returns one synthesised response instead of a ranked list. The episode separates being read by the system from being named in its output, and traces how shortlists get assembled ahead of the buyer.</p>
<ul>
<li>Retrieval and selection as two separate contests</li>
<li>Four traits of claims that survive synthesis: attributable, bounded, corroborated, stable</li>
<li>Category placement deciding entry before any product comparison occurs</li>
<li>Independent description outweighing a company's own pages</li>
<li>Measuring with repeated category questions, and why one observation tells you nothing</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/how-answer-engines-change-brand-discovery/">How Answer Engines Change Brand Discovery</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </itunes:summary>
      <itunes:keywords>technology, business, research</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Structured Data as a Competitive Signal</title>
      <itunes:title>Structured Data as a Competitive Signal</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">463f8ac3-454f-4379-9200-ea14a61cc0a9</guid>
      <link>https://share.transistor.fm/s/3e1504fb</link>
      <description>
        <![CDATA[<p>Fentner Group report FG-26-01 treats schema markup, product feeds and API metadata as an outside-in read on how well a firm governs its own catalogue. The episode sets out what those public artefacts expose about internal data quality, and where the reading stops being useful.</p>
<ul>
<li>Three observable dimensions: coverage, specificity, consistency</li>
<li>Why gaps cluster around acquisitions, old templates and separately run product lines</li>
<li>Validator-passing markup versus markup that constrains how outsiders describe the entity</li>
<li>Platforms deriving their own product records when nothing explicit is supplied</li>
<li>Limits: nothing about revenue or share, and silent decay after a template change</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/structured-data-as-a-competitive-signal/">Structured Data as a Competitive Signal</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fentner Group report FG-26-01 treats schema markup, product feeds and API metadata as an outside-in read on how well a firm governs its own catalogue. The episode sets out what those public artefacts expose about internal data quality, and where the reading stops being useful.</p>
<ul>
<li>Three observable dimensions: coverage, specificity, consistency</li>
<li>Why gaps cluster around acquisitions, old templates and separately run product lines</li>
<li>Validator-passing markup versus markup that constrains how outsiders describe the entity</li>
<li>Platforms deriving their own product records when nothing explicit is supplied</li>
<li>Limits: nothing about revenue or share, and silent decay after a template change</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/structured-data-as-a-competitive-signal/">Structured Data as a Competitive Signal</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </content:encoded>
      <pubDate>Wed, 12 Aug 2026 09:00:00 -0700</pubDate>
      <author>Richard Fentner</author>
      <enclosure url="https://media.transistor.fm/3e1504fb/91414670.mp3" length="1940131" type="audio/mpeg"/>
      <itunes:author>Richard Fentner</itunes:author>
      <itunes:duration>324</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Fentner Group report FG-26-01 treats schema markup, product feeds and API metadata as an outside-in read on how well a firm governs its own catalogue. The episode sets out what those public artefacts expose about internal data quality, and where the reading stops being useful.</p>
<ul>
<li>Three observable dimensions: coverage, specificity, consistency</li>
<li>Why gaps cluster around acquisitions, old templates and separately run product lines</li>
<li>Validator-passing markup versus markup that constrains how outsiders describe the entity</li>
<li>Platforms deriving their own product records when nothing explicit is supplied</li>
<li>Limits: nothing about revenue or share, and silent decay after a template change</li>
</ul>
<p><strong>Full report:</strong> <a href="https://fentner.com/reports/structured-data-as-a-competitive-signal/">Structured Data as a Competitive Signal</a></p>
<p>Published by Fentner Group at fentner.com.</p>]]>
      </itunes:summary>
      <itunes:keywords>technology, business, research</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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