Customer reviews play a great role in the customer journey. You can use them for your advantage with recommendations. If properly used, they can significantly increase the conversion rate and revenue. This is because customers are more likely to use the services of a company which presents an offer that best suits their needs and preferences, and they pay as much attention to good online reviews. ## Prerequisites --- - [Import your item feed to AI engine](/docs/ai-hub/recommendations-v2/item-feed-requirements). In the item feed you need to provide a custom attribute storing the average rating of an item. - Implement [Synerise tracking code](/developers/web/installation-and-configuration#creating-a-tracking-code) on your website. - Implement [OG Tags](/developers/web/og-tags) on your website. - Enable the personalized recommendation type in [AI Engine Configuration](/docs/settings/configuration/ai-engine-configuration/engine-configuration-for-recommendations). ## Create a recommendation --- 1. Go to AI Hub icon **AI Hub > (AI Recommendations) Models > Add recommendation**. 3. In the top left corner, enter the name of your recommendation. 4. In the **Type & Items feed** section, click **Define**. 5. From the **Items feed** dropdown menu, choose the provided feed. 6. Choose the **Top items** recommendation type. 8. Click **Apply**. 9. In the **Items** section, click **Define**. 10. Click **Add slot**. 11. Define the minimum and maximum number of brands that will be recommended to the user. In our example, it is from 10 (minimum) to 15 (maximum). 12. Click **Static filter**.
Learn about the differences between [elastic, static filters](/docs/ai-hub/recommendations-v2/creating-recommendation-campaign#select-conditions-of-displaying-items), and [distinct filters](/docs/ai-hub/recommendations-v2/creating-recommendation-campaign#distinct-filter).
13. From the dropdown list, choose **Visual Builder**. 14. Click **Select attribute**. 15. From the dropdown list, choose an attribute that contains average item rating. 16. Click **Operator**. 17. From the dropdown list, choose **More than**. 18. In the text input enter the value. In our case, it is `4` (items whose minimum average rating is 4). 19. On the bottom of the elastic filter pop-up, click **Apply**. 20. Click **Apply**. 21. In **Boosting** section, you can enable [boosting](/docs/ai-hub/recommendations-v2/creating-recommendation-campaign#define-the-boosting-factors). 22. In **Additional settings**, optionally you can exclude already bought products and set a metric to sort by. 23. Save the recommendation by clicking **Save**. ## What's next --- You can display the recommendation on a category page by using [dynamic content](/docs/campaign/dynamiccontent). 1. Go to **Experience Hub > Dynamic content > New dynamic content**. 2. In the body of the dynamic content, use the [recommendation insert](/developers/inserts/recommendations-v2).
Optionally, you can apply an [additional filter](/developers/inserts/recommendations-v2#open-graph-meta-tags-in-filters) to the insert in order to always display products that are from the same category as your customer currently browses.
3. Add CSS and/or HTML to the dynamic content. 4. [Define the rest of the settings](/docs/campaign/dynamiccontent/creating-dynamic-content). ## Check the use case set up on the Synerise Demo workspace --- You can also check the [AI recommendation configuration](https://app.synerise.com/ai-v2/recommendations/dGZaKdmzVads) directly in Synerise Demo workspace. If you’re our partner or client, you already have automatic access to the **Synerise Demo workspace (1590)**, where you can explore all the configured elements of this use case and copy them to your workspace. If you’re not a partner or client yet, we encourage you to fill out the contact [form](https://demo.synerise.com/request) to schedule a meeting with our representatives. They’ll be happy to show you how our demo works and discuss how you can apply this use case in your business. ## Read more --- - [Dynamic content](/docs/campaign/dynamiccontent) - [Dynamic content inserts](/developers/inserts/dynamic-content) - [Recommendation campaigns](/docs/ai-hub/recommendations-v2/creating-recommendation-campaign)