Data 360 · Personalization98 tasks
Build Data 360 Personalization
Turn unified customer data into personalization: data model objects, calculated insights, affinities, data graphs and recommenders that a web page, email or agent can use.
Method
How MeshMesh does it
- Troubleshoots the website connector and the personalization pipeline: streams, mappings, sitemap and consent.
- Builds calculated insights and affinities, such as a product-type affinity from browse view counts and a last-viewed-product insight, and checks the scores against raw SQL counts.
- Sets up data graphs, personalization points, decisions and experiences, and tests the decisions API. This work often involves Identity Resolution and the Web SDK.
- Diagnoses problems, using beacon debug logs when experiences do not match, or tracing missing images to an unmapped field on Product2.
- Works around gaps where no API creation path exists or a relationship is missing. Some steps stay blocked by license and permission prerequisites.
- Builds and deploys the delivery pieces, such as a branded HTML hero block updated through the REST API, or flow metadata after several fixes.
Products
Products and features it works with
Bars show how many of this capability's tasks touched each product.
- 1PersonalizationData 36079 tasks
- 2Marketing Cloud PersonalizationMarketing Cloud23 tasks
- 3Calculated InsightsData 36018 tasks
- 4Heroku12 tasks
Personalization