Working with Web Analytics data<\/strong><\/a> often presents me with the challenge of mapping brands to media using custom attributes. <\/span><\/p>\nAt first, this seems straightforward: connect the dots between brand and media using custom attributes, and everything should fall into place.<\/span><\/p>\nHowever, when I check my Web Analytics data stream, I find no trace of media by custom, which creates roadblocks.<\/span><\/p>\nWithout media by custom attributes in Web Analytics, my plan quickly unravelled. <\/span><\/p>\nSince they don’t exist there, my plan collapsed into chaos. <\/span><\/p>\nThat’s where Datorama proved invaluable. Datorama allows me to implement custom classifications that cover all data stream types.<\/span><\/p>\nInitially, I extracted the brand from Web Analytics and mapped it to custom classification one.<\/span><\/p>\nSimultaneously, I performed the same operation for ads by mapping both to this same custom classification. <\/span><\/p>\nCustom classification serves as my bridge across different datasets by consistently representing my brand column across them all. <\/span><\/p>\nWhen combined, the columns from media by campaign and Web Analytics merge seamlessly.<\/span><\/p>\n![\"SalesForce](\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Brand-Mapping.png\")
<\/span><\/p>\nDatorama makes classification simple.<\/span><\/p>\nOnce I provide Datorama with my list of brand categories, they ensure that each brand is classified accordingly, whether using ABC or ABB classification, to provide clarity and consistency across my data sets.<\/span><\/p>\nNow it is crucial to realise Datorama allows mapping at multiple levels. <\/span><\/p>\nI have previously established that brands are typically attributes of media by key, with direct ties connecting their custom classification to this relationship. <\/span><\/p>\nFurthermore, each attribute will require its classification sheet so that all data points are appropriately categorised within Datorama’s structure.<\/span><\/p>\nPractically, I utilise custom classification one level one as an additional layer of classification.<\/span><\/p>\nIntegrating all three data sets within Datorama enables me not only to classify but also to maintain hierarchical relationships within my data.<\/span><\/p>\nDatorama’s classification system makes the transition seamless, and I can categorise all data streams effectively within its umbrella framework. <\/span><\/p>\nWith Datorama’s seamless management of classifications, my analytics workflow becomes streamlined and indispensable.<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=”4.9.7″ text_font=”Georgia||||||||” text_text_color=”#000000″ text_font_size=”22px” text_line_height=”1.9em” max_width=”800px” max_width_last_edited=”off|phone” custom_margin=”|||10%” custom_margin_last_edited=”off|desktop” hover_enabled=”0″ text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|phone” text_line_height_last_edited=”off|phone” sticky_enabled=”0″]<\/p>\n