BlueConic personalized recommendations provide an unmatched advantage for effective personalization: first-party customer data. Using your own datasets and behavioral data collected, BlueConic helps deliver individualized recommendations at scale.
Customers expect personalized experiences tailored to their unique preferences and needs. Personalization not only enhances customer engagement but also drives higher conversion rates, customer satisfaction, and loyalty. Offering content or product recommendations based on individual behavior, past interactions, or expressed preferences makes the experience relevant and timely.
Creating effective content and product personalization
At a high level, the process for creating recommendations in BlueConic is as follows:
- Set up a Product or Content Collector that will collect, organize, and store product or content data in the platform, which can then be used to drive personalized experiences. Our scraping technology ensures that the latest and greatest content and products are considered in your personalization strategies. You can customize the content or product attributes that matter most to your audience, such as categories, tags, or recent trends.
- Create BlueConic Dialogues that display personalized recommendations across your channels. Our user-friendly template designer and algorithm selection tool allow you to build and test dialogues against one another from both a design and selection perspective. Here you can customize the appearance and format of your dialogue, whether it's a pop-up, inline banner, or personalized call-to-action.
- Optimize your recommendation dialogues using BlueConic’s built-in reporting and testing tools. A/B testing different versions of dialogues can help determine which approach resonates best with your audience and drives the desired action.
For more detail on how to set up and use personalized recommendations in BlueConic, check out some of the articles below.