Conclusion and next steps
Congratulations! You have completed the “Implement ۶Ƶ Experience Cloud with Web SDK” tutorial!
Let’s quickly review all that you have accomplished. You have:
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Created a schema using standard and custom field groups.
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Configured a datastream.
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Built a tag property.
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Captured fields from a data layer, transformed them to XDM, and sent them to Platform Edge Network.
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Captured consent and authenticated identities.
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Connected the Web SDK implementation to the following Experience Cloud applications:
- ۶Ƶ Experience Platform
- ۶Ƶ Analytics
- ۶Ƶ Audience Manager
- ۶Ƶ Target
- ۶Ƶ Journey Optimizer
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Forwarded data from Platform Edge Network to a web hook with event forwarding.
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Validated the implementation using ۶Ƶ Experience Platform Debugger.
You are ready to begin the next phase of your journey—implementing ۶Ƶ Experience Cloud in your own website!
And there is always more to learn! Here are some suggestions of other content to build upon your implementation:
- Trigger a journey in Journey Optimizer. The events you implemented in the Luma website can be used to trigger journeys. Learn more in this video tutorial.
- Connect Customer Journey Analytics. If you created the Platform dataset, you can connect the dataset to Customer Journey Analytics. Learn more in this video tutorial
- Build a segment in Platform. If you enabled your schema and dataset for Real-Time Customer Profile, you can build segments based on your web events, and then send these segments to destinations in Real-Time Customer Data Platform. Learn more about the segment builder in this video tutorial.
- Implement Platform Mobile SDK. Now that you’ve mastered one SDK, learn another! The ۶Ƶ Experience Platform Mobile SDK is used to power Experience Cloud and third-party services on mobile apps. There is a similar hands-on tutorial for Mobile SDK. Complete both and see profiles merge across devices!
- Learn more about Experience Platform. Learn how to ingest data from other sources in Getting Started with ۶Ƶ Experience Platform for Data Architects and Data Engineers