Web & App Personalization: Path
Complete your onboarding.
Build uniquely personalized web experiences for your customers - with our no-code builders, real-time browsing behavior, first-party customer data, and true 1:1 personalization across all digital touchpoints.
Who is this for?
- Digital teams, Merchandisers, Marketers
- Web designers
- Website A/B testers
- Conversion managers, assistants
- Ecommerce professionals
- Anyone who wants to know how to optimize your website for a truly unique customer experience
Overall topics to go through: 8
Overall estimated time: ∼90 minutes
1-4 Web Personalization Basics
Reading time: 40 minutes
Learn how to work with basic web & app optimization tools, such as web layers, experiments, and push notifications. This adds to your knowledge of Scenarios.
1. | Weblayers | Drive engagement and conversion on your website with our personalized banners. |
2. | Experiments | Learn how to perform modifications on your website. |
3. | Browser Push Notifications | Learn how to set up web push notifications. |
4. | Managed Endpoints API | Learn how can managed endpoints personalize any customer touchpoint, while maintaining fast load times, better page performance, and higher security. |
5-7 App Personalization Basics
Reading time: 30 minutes
5. | In-App Messages | Display banners to your customers within your mobile app. |
6. | Mobile Push Notifications | Send mobile push notifications to your mobile app users and alert customers about time-sensitive information such as product updates, promotions, and special announcements. |
7. | App Inbox | Do not let the mobile notifications disappear after being dismissed and keep them stored in the App Inbox in the mobile application for a defined period of time. |
8-12 Web & App Personalization Advanced
Reading time: 40 minutes
Start using product recommendations in your web layers and push notifications, and bring personalization to the next level with our more advanced tools.
8. | A/B Testing | Learn about your A/B Testing options and metrics to track while testing your on-site personalization. |
9. | Contextual Personalization | Find out the differences between A/B Testing and our deeper personalization feature based on the consideration of customer's context. |
10. | Product Recommendations in Bloomreach Engagement | Show personalized product recommendations on your website. Focus on rule-based recommendations. Find out more about AI-based models in the AI path. |
11. | Recommendation Templates | See our pre-defined Recommendation templates. |
12. | Testing Campaigns on yourself | Learn how to test a web layer on yourself before anyone else sees it. |
Interactive tour
Try an interactive tour to learn how to run website A/B tests and personalize the onsite experience with a visual editor.
E11 12 steps, 2 minutes
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Your onboarding is now complete!
You can further leverage your knowledge with the learning materials below. Alternatively, continue with another learning path to master another area of the tool.
Further learning resources
Campaign administration | Read about a number of tips on how to improve your campaigns. |
Asset Manager | Create and choose pre-defined templates. |
Page Optimization | Best practices regarding Page design and optimization. |
Business UC: Surveys and Weblayers | Use Cases that focus primarily on improving the functionality and Deliverability of your Campaigns. |
Integrating and using Experiments | Learn about the ways Experiments are integrated to your website. |
Business UC: Recommendations Business Guide | Business Use Cases that can be delivered with Recommendations. |
Engagement Product Recommendations course | Provide personalized value to your customers and learn how to make your product recommendations best suited to your business needs. |
Jinja | Personalize your customer communication even further with Jinja. |
Engagement Jinja course | For more technical users wanting to master their personalization tactics and custom use cases. |
Find all articles on Campaigns in the documentation.
Updated 4 months ago
Leverage your knowledge with another Learning path.