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  <description>Plain-English guides to clienteling and showroom retail, from Stitchwork.</description>
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  <lastBuildDate>Mon, 28 Sep 2026 09:00:00 +0000</lastBuildDate>
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    <title>What is clienteling? A plain-English guide for showroom retail</title>
    <link>https://stitchwork.io/guides/what-is-clienteling/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Clienteling</category>
    <description>Clienteling means knowing each customer well enough that every conversation starts where the last one ended. What it is, what it needs, and how to start.</description>
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    <title>Single customer view: one record of each customer, wherever they meet you</title>
    <link>https://stitchwork.io/guides/single-customer-view/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Web and store</category>
    <description>A single customer view joins website browsing, store visits, quotes and orders into one record per person. What goes into it, the hard cases, and how to build one.</description>
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    <title>How to attribute showroom sales to your website and your ads</title>
    <link>https://stitchwork.io/guides/showroom-sales-attribution/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Attribution</category>
    <description>Ads send people to your website; the sale closes in the showroom weeks later. How to connect the two, which attribution models to trust, and what to watch for.</description>
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    <title>How to follow up after a showroom visit — without being the third person to call this week</title>
    <link>https://stitchwork.io/guides/showroom-follow-up/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Follow-up</category>
    <description>Most showroom visits end with &quot;we need to think&quot;. When to follow up, who should do it, what to say, and message templates for the four most common situations.</description>
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    <title>Who gets the commission when two associates share a customer?</title>
    <link>https://stitchwork.io/guides/sales-commission-split/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Sales credit</category>
    <description>Five ways to split sales credit between retail associates, where each goes wrong, and the rules that keep it fair when one customer is served by several people.</description>
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    <title>Research online, buy in store: how to see it, and what to do about it</title>
    <link>https://stitchwork.io/guides/research-online-buy-in-store/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Web and store</category>
    <description>Most considered purchases are researched online and bought in person. What ROPO (research online, purchase offline) is, why it&#x27;s invisible, and how to measure it.</description>
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    <title>How to raise your average order value without discounting your way there</title>
    <link>https://stitchwork.io/guides/increase-average-order-value/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Order value</category>
    <description>Practical ways for showroom retailers to lift average order value: sell the room, quote properly, configure up, and point your website and team at the right price.</description>
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    <title>Holdout groups: how to tell whether a website message actually worked</title>
    <link>https://stitchwork.io/guides/holdout-groups/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Measurement</category>
    <description>Show a message to interested visitors and it will always look like it worked. How a holdout (control) group measures the real effect, with a worked example.</description>
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  <item>
    <title>Abandoned baskets on big-ticket items: why the discount email is the wrong reply</title>
    <link>https://stitchwork.io/guides/high-value-abandoned-baskets/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Web and store</category>
    <description>A £4,000 basket left overnight isn&#x27;t abandoned the way a £40 one is. Why cart-recovery emails misfire on considered purchases, and what to do instead.</description>
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    <title>The showroom retail glossary: clienteling, attribution and the rest, defined</title>
    <link>https://stitchwork.io/guides/glossary/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Reference</category>
    <description>Plain-English definitions of the terms used in clienteling and showroom retail, from AOV and attribution windows to holdout groups, ROPO and single customer view.</description>
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    <title>CRM for furniture stores: what a showroom actually needs</title>
    <link>https://stitchwork.io/guides/furniture-showroom-crm/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Furniture &amp; interiors</category>
    <description>Furniture sells over weeks, in fabrics and finishes, across two visits and a website. What to look for in a CRM or clienteling tool for a furniture showroom.</description>
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  <item>
    <title>Clienteling vs CRM: what&#x27;s the difference, and which do you need?</title>
    <link>https://stitchwork.io/guides/clienteling-vs-crm/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Clienteling</category>
    <description>A CRM is built around a pipeline. Clienteling is built around the moment one customer walks in. How they differ, where each breaks, and which a showroom needs.</description>
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    <title>Clienteling software: a buyer&#x27;s guide for showroom retail</title>
    <link>https://stitchwork.io/guides/clienteling-software/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>Buying software</category>
    <description>What clienteling software does, the four kinds on the market, the one question to ask in every demo, and how to run a one-week trial on your own catalogue.</description>
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    <title>Using AI with customer data: give it a door, not an export</title>
    <link>https://stitchwork.io/guides/ai-and-customer-data/</link>
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    <pubDate>Mon, 28 Sep 2026 09:00:00 +0000</pubDate>
    <category>AI</category>
    <description>Someone on your team has already pasted customers into a chatbot. The risks, what data protection law expects, and how to give your team AI access that&#x27;s safe.</description>
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