--- title: "Smart Recommender for Jewelry & Watches Verticals" slug: "smart-recommender-for-jewelry-watches-verticals-1" description: "Smart Recommender for jewelry and watches helps Insider One customers recommend matching sets, occasion gifts, and material-based picks. " updated: 2026-10-20T14:13:50Z published: 2026-10-20T14:13:50Z canonical: "academy.insiderone.com/smart-recommender-for-jewelry-watches-verticals-1" --- > ## Documentation Index > Fetch the complete documentation index at: https://academy.insiderone.com/llms.txt > Use this file to discover all available pages before exploring further. # Smart Recommender for Jewelry & Watches Verticals Jewelry and watches are personal, often emotional purchases shaped by style, material, lifestyle, and milestones. Many buying decisions are tied to occasions or gifts. This article shows how to use Smart Recommender in Insider One to guide discovery, build confidence, and suggest matching pieces. It includes an A/B test walkthrough for jewelry pairings and strategies for each page type. > [!NOTE] > **Before you start:** Make sure your product catalog includes the attributes this article filters on, such as Category, Material, Occasion, and Product Set. Create missing custom attributes on the **Product Attributes** page and mark them as filterable. ### What you can achieve with Smart Recommender #### Style-based discovery Suggest matching accessories, such as a bracelet with a gold watch, on product and cart pages. #### Trending pieces Highlight in-demand or new pieces such as "Trending Gold Hoops." #### Personalization by material or occasion Show silver rings to shoppers with a silver affinity, or elegant pieces before weddings and anniversaries. #### Re-engagement with new arrivals Show lapsed shoppers new pieces that match their past behavior. #### Complementary add-ons Recommend extra straps, cleaning kits, or matching sets to raise average order value (AOV). #### A/B testing Test algorithms, placements, and filters, such as "Best Gifts Under 200 USD" versus "You May Also Like." ### Walkthrough: Increase AOV with jewelry pairings Shoppers often look for pieces that work together. Pairing recommendations encourage sets instead of single items. This walkthrough tests two cross-sell strategies on necklace product detail pages: - **Variant A:** Recommend bracelets. - **Variant B:** Recommend earrings. #### Step 1: Create the recommendation strategies Navigate to **Recommendation Strategies** and click **Create**. Configure the first strategy as follows: 1. Select **Product Detail Page** as the page type. 2. Select **Purchased Together** as the algorithm. 3. Enter the number of products to recommend. 4. Exclude products purchased in the last four weeks. 5. Add a filter for the category attribute: Category + is + Bracelets. Create the second strategy with the same settings and change only the category filter: 1. Category + is + Earrings. **Note:** Keep every other setting identical between the two strategies. If more than one setting changes, you cannot tell which change caused the difference in results. #### Step 2: Launch the campaign Navigate to **Web Smart Recommender** and click **Create**. 1. Select the integration method for the widget. 2. On the **Segments** step, select customers with a low AOV under **Purchasing Behavior** and set your threshold. 3. On the **Rules** step, use **Page Rules** to target the product detail pages of necklaces. 4. On the **Design** step, assign one strategy to each variant and set the traffic allocation for each variant. 5. Click **Edit Design** to open the **Advanced Product Card Designer** and customize your product cards. 6. Select the locales and stores where the campaign appears. 7. Review the campaign details, confirm that every setting matches your goal, and click **Launch**. **Note:** Every attribute you show on a product card must exist in your product catalog. To show more information, create custom attributes on the **Product Attributes** page. #### Step 3: Track campaign metrics 1. Navigate to **Smart Recommender Analytics**. 2. Find your campaign in the **Campaign and Variant Metrics** table. When the test period ends, click the campaign name. 3. Compare Direct Revenue, Average Order Value (AOV), and Conversion Rate for the two variants. This shows whether bracelets or earrings raise AOV more for low-spending customers. 4. If one variant clearly wins, set its traffic allocation to 100% so every visitor sees the better strategy. After you find a winner, test other pairings, such as rings or cleaning kits with watches. #### Step 4: Optimize your campaigns After the campaign has run long enough to collect data, use **Smart Recommender Analytics** to improve it: - **Engagement funnel:** Review product impressions, click-through rate, add-to-cart rate, and conversion rate to see where shoppers drop off. - **Campaign and variant performance:** Compare AOV, Conversion Rate, and Direct Revenue in the **Campaign and Variant Metrics** table, then refine or scale the winning variant. - **Product-level impact:** Open **Top 100 Product Analytics** to see which recommended products perform best. Give extra visibility to strategic products that perform below expectations. - **Category trends:** Use **Category Analytics** to find the categories that drive the most conversions, and decide whether to prioritize them or promote weaker ones. ### Use cases by page type #### Home page ##### Timeless bestsellers Show first-time visitors best-selling staples such as gold hoops or minimalist watches. 1. Create a strategy with the **Top Sellers** algorithm. 2. Add the filter Category + is one of + Earrings, Necklaces, Watches. 3. Target new users on the **Segments** step. **Tip:** A/B test a carousel against a grid layout. ##### Recently viewed items Help returning shoppers pick up where they left off. 1. Create a strategy with the **Recently Viewed** algorithm. 2. Exclude products the user already purchased. 3. Target returning users on the **Segments** step. **Note:** Recently Viewed and User Based rely on each user's past behavior. Target returning users so these widgets always have data to show. **Tip:** A/B test the widget near the top versus lower on the page. ##### Gifts by occasion Help shoppers find gifts for moments such as Valentine's Day or anniversaries. 1. Create a strategy with the **Top Sellers** algorithm. 2. Add the filter Occasion + is + Valentine's Day. 3. If you do not have an Occasion attribute, create it on the **Product Attributes** page. **Tip:** Run this campaign in the weeks before each occasion with titles such as "Gifts They Will Love." #### Product detail page ##### Matching sets Suggest pieces in a different category but the same material, such as earrings that match a necklace. 1. Create a strategy with the **Viewed Together** algorithm. 2. Add two filters connected with an **AND** connector: Category + doesn't match the item they're currently viewing, and Material + matches the item they're currently viewing. 3. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. **Tip:** Place the widget directly after the product description. ##### Picks based on recent browsing Show each shopper pieces that match their most recent interactions. 1. Create a strategy with the **User Engagement** algorithm. 2. Exclude recently purchased products. **Tip:** A/B test emotional titles ("Fall in Love Again") against functional ones ("Picked for You"). #### Category page ##### Top picks in this category Show the pieces gaining the most interest this week in the current category. 1. Create a strategy with the **Trending Products** algorithm. 2. Add the filter Category + matches + the category they're currently viewing. 3. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. Set the affinity attributes to Material, Category, and Brand. **Tip:** A/B test this strategy against **Top Sellers**. ##### Inspired by your interests Personalize the category page based on the shopper's behavior across the site. 1. Create a strategy with the **User Based** algorithm. 2. Add the filter Category + matches + the category they're currently viewing. 3. Target returning users on the **Segments** step. 4. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. **Tip:** Compare this strategy against **New Arrivals**. ##### Limited-time favorites Show the best deals in the category during promotions. 1. Create a strategy with the **Highest Discounted** algorithm. 2. Add the filter Category + matches + the category they're currently viewing. 3. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. This shows deals that match each shopper's taste. **Tip:** Try titles such as "Ends Soon." #### Cart page ##### Complete the set Recommend the matching pieces of a set already in the cart. 1. Create a strategy with the **Purchased Together** algorithm. 2. Add the filter Product Set + matches the items currently in their cart. 3. Leave Attribute Affinity off. **Tip:** A/B test "Bundle and Save" against "You Might Also Like." ##### Reach free shipping Show products that help shoppers reach your free shipping threshold. 1. Create a strategy with the **Checkout Recommendation** algorithm and set the spend threshold (for example, 100 USD). 2. No filters are required. Attribute Affinity is optional. **Tip:** If you do not offer free shipping, use **Purchased Together** instead. ### Related articles - [Algorithm Descriptions](https://academy.insiderone.com/docs/algorithm-descriptions) - [Recommendation Strategies](https://academy.insiderone.com/docs/smart-recommender-recommendation-strategies) - [A/B Test Recommendation Strategies](https://academy.insiderone.com/docs/ab-test-recommendation-strategies) - [Smart Recommender Analytics](https://academy.insiderone.com/docs/smart-recommender-analytics)