--- title: "Smart Recommender for Electronics Verticals" slug: "smart-recommender-for-electronics-verticals-1" description: "Smart Recommender for electronics helps Insider One customers cross-sell compatible accessories, compare similar devices, and surface tech deals." updated: 2026-10-20T14:08:22Z published: 2026-10-20T14:08:22Z canonical: "academy.insiderone.com/smart-recommender-for-electronics-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 Electronics Verticals Electronics is a high-involvement vertical. Shoppers weigh functionality, specifications, brand reputation, and compatibility with devices they already own, often after reading reviews and comparing features. This article shows how to use Smart Recommender in Insider One to simplify selection and surface accessories that extend product value. It includes an A/B test walkthrough for accessory cross-sells 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, Brand, Device Type, and Price. Create missing custom attributes on the **Product Attributes** page and mark them as filterable. ### What you can achieve with Smart Recommender #### Personalized tech picks Show selections such as "Laptops for Work" based on browsing, budget, or brand preference. #### Accessory cross-sells Recommend chargers, cases, or memory cards next to the device being viewed. #### Checkout bundles Highlight pairs such as a laptop and mouse on the cart page to raise average order value (AOV). #### Re-engagement Show laptops, tablets, or TVs from past visits to hesitant shoppers. #### Best sellers by category Show top-converting smartphones, laptops, and TVs to build trust. #### Limited-time deals Highlight discounts on home and category pages. #### Affinity-based suggestions Use attributes such as screen size, brand, or operating system. #### A/B testing Test logic, placement, and product card layouts by segment or device. ### Walkthrough: Boost AOV with accessory cross-sells Accessories such as mice, bags, and cables are easy to forget but often needed, which makes them a strong AOV lever. This walkthrough tests two cross-sell strategies on laptop product detail pages: - **Variant A:** Recommend wireless mice. - **Variant B:** Recommend laptop bags. #### 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 (four to six products work well for accessory widgets). 4. Exclude products purchased in the last four weeks. 5. Add a filter for the category attribute: Category + is + Wireless Mouse. Create the second strategy with the same settings and change only the category filter: 1. Category + is + Laptop Bags. **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 laptops. 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 mice or bags 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 accessories, such as external drives or docking stations. #### 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 ##### Personalized tech picks Help returning shoppers find their preferred device types and brands quickly. 1. Create a strategy with the **Most Popular** algorithm. 2. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. Set the affinity attributes to Device Type, Category, and Brand. 3. Target returning users on the **Segments** step. ##### Recently viewed items Let returning shoppers continue where they left off, such as with TVs or tablets. 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 Recently Viewed against User Based. ##### Everyday essentials Show best-selling essentials such as power banks and cables to new visitors. 1. Create a strategy with the **Top Sellers** algorithm. 2. Add the filter Category + is one of + Accessories, Chargers, Cables. 3. Leave Attribute Affinity off. 4. Target new users on the **Segments** step. **Tip:** A/B test copy such as "Everyday Tech Must-Haves" and "Power Up Your Day." #### Product detail page ##### Complete your setup Show compatible accessories for the device, such as mice, bags, or drives for a laptop. 1. Create a strategy with the **Purchased Together** algorithm. 2. Add two filters: Brand + matches the item they're currently viewing, and Category + is one of + Mice, Laptop Bags, External Drives. Connect them with an **AND** connector. 3. Exclude already purchased products. ##### Similar devices Help shoppers compare devices in the same category and price range. 1. Create a strategy with the **Viewed Together** algorithm. 2. Add two filters connected with an **AND** connector: Category + matches the item they're currently viewing, and Price + within 10% of the item they're currently viewing. 3. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. #### Category page ##### Discounted devices in this category Show the most discounted products in the current category. 1. Create a strategy with the **Highest Discounted** algorithm. 2. Add the filter Category + matches + the category they're currently viewing. 3. Leave Attribute Affinity off. **Tip:** A/B test widget placement and discount badges. ##### Trending in this category Show the products gaining the most interest this week in the current category. 1. Create a strategy with the **Trending Products** algorithm. 2. Add the filter Category + contains + the category they're currently viewing. 3. If your categories are hierarchical, select the **Expand the category filter to include recommendations from the next category if there aren't enough products to display** checkbox, so the widget still fills when the current category has few products. 4. Turn on the **Enhance recommendations based on Attribute Affinity** toggle. This prioritizes preferred brands and specifications. #### Cart page ##### Add-ons for your device Suggest adapters, cables, or screen protectors for the items in the cart. 1. Create a strategy with the **Purchased Together** algorithm. 2. Add the filter Category + is one of + Adapters, Cables, Screen Protectors. 3. Leave Attribute Affinity off. **Tip:** A/B test copy such as "Complete Your Setup." ##### 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:** Use copy such as "You are 20 USD away from free shipping." 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)