全通路資料是行銷人員用來協調啟動和測量所產生客戶歷程的可操作客戶設定檔的關鍵要素。 但是,組織在管理此資料的質量、規模和種類方面面臨挑戰。 它們需要簡化的解決方案,以減輕低質量資料的影響,縮短價值實現時間,並通過對多個使用案例使用相同的資料來增加投資回報。
本影片探討:
INSERT INTO summit_adv_data_prep_dataset
SELECT STRUCT(
customerId AS crmCustomerId, struct(sku AS sku, price AS sku_price, abandonTS AS abandonTS) AS abandonBrowse) AS _pfreportingonprod
FROM
(SELECT
B.personKey.sourceID AS customerId,
A.productListItems[0].SKU AS sku,
max(A.timestamp) AS abandonTS,
max(C._pfreportingonprod.price) AS price
FROM summit_adobe_analytics_dataset A,profile_attribute_14adf268_2a20_4dee_bee6_a6b0e34616a9 B,summit_product_dataset C
WHERE A._experience.analytics.customDimensions.eVars.eVar1 = B.personKey.sourceID
AND A.productListItems[0].sku = C._pfreportingonprod.sku
AND A.web.webpagedetails.URL NOT LIKE '%orderconfirmation%'
AND timestamp > current_date - interval '4 day'
GROUP BY customerId,sku
order by price desc)D;
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此影片是Adobe Summit2020工作階段的摘要 為電氣化體驗重新充電全管道資料.