PersonalizeWP uses visitor data such as browsing history, purchase history, and demographic information to tailor product recommendations. This ensures that each visitor sees products that are most relevant to their interests and needs, improving engagement and sales.
Show product recommendations to visitors
Using our personalization rules, visitor profiles and segments, you can recommend products to users based on their browsing and purchase history
Target your existing audiences
To customise content for returning users and drive conversions, use the Segment & Visitor Profile features in PersonalizeWP to gain better insight into your user’s behaviour.
These features enable you to understand your audience’s interactions with your website, helping you segment them as returning users and target them with related products.
You can set up segments for returning users and track their interactions on your website to better understand their preferences. This will help you target them with tailored product offers more effectively.
Examples of how you might target users
Personalizing your product content has never been easier. By segmenting your audiences based on their browsing habits, you can then target them with suggested products. Whether they engage with an article or product page, you can build up a profile of their journeys to then share relevant recommendations to boost conversions.
Enhance relevance and engagement
For users that have purchased or browsed your product category pages, you can then present them with related product options using PersonalizeWP.
Reward purchase behaviours
Provide exclusive discounts for users who have purchased certain products across the website, presenting them with other products at discounted prices.
Maximise revenue
For retail businesses, showing returning users personalized discount offers can lead to higher conversion rates. By tailoring offers to products they have shown interest in or purchased before, you increase the likelihood of additional sales, enhancing overall revenue.
Track users across your site
As users move around your site, we track their actions in real-time – visited pages, login times, product purchases and form submissions.
Their visitor profile is continuously updated, allowing you to see their navigation path and the content they engage with. This enables you to track every page they visit throughout their journey.
Score and segment
Track visitor behaviors to gain insights into their interests. Score users based on their actions—like page visits, form submissions, or purchases—to gauge engagement levels.
Segment users by location, product category, referral source, or other criteria for targeted interactions.
Frequently asked questions
It can leverage data including past purchases, browsing behavior, search queries, location, device type, and time of visit. This comprehensive data collection helps create a detailed visitor profile for accurate product recommendations.
Install the PersonalizeWP plugin on your WordPress site, configure the personalization rules based on your criteria (such as visitor behavior or demographic info), and select the product recommendation widgets to display on your site. PersonalizeWP provides an intuitive interface to manage these settings.
Yes, PersonalizeWP can be configured to adjust recommendations based on specific times, seasons, or events. For example, it can prioritise showing holiday-related products during festive seasons or promotional items during sales events.
Personalized product recommendations enhance the shopping experience by making it easier for customers to find products they are interested in, increase average order value, improve conversion rates, and foster customer loyalty by providing a tailored shopping experience.
Yes, PersonalizeWP allows for A/B testing different recommendation strategies. This helps you determine which methods are most effective in driving engagement and conversions, allowing for data-driven optimisation of your personalization efforts.
Can’t wait? Try out our PersonalizeWP Pro version now…
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