Misurazione del Percorso di clienti tramite attribuzione
Scopri le modalità di attribuzione, gli intervalli di lookback e l’attribuzione algoritmica di. Queste funzioni consentono all’addetto al marketing di comprendere i percorsi dei clienti non lineari e imprevedibili in diversi modi.
Utilizzo di analisi incrociate per esplorare le attribuzioni marketing di base in Analysis Workspace
Esistono diversi modi per dare una spinta ulteriore alla metodologia di attribuzione con Adobe Analytics. In questo video, viene evidenziato come ottenere informazioni più approfondite dal rapporto Marketing Channels (Canali di marketing) mediante le analisi incrociate in Workspace.
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Aggiunta di confronti affiancati dei modelli di Attribution IQ in Analysis Workspace
In questo video, scopri come confrontare rapidamente i modelli di Attribution IQ, inclusa una colonna creata automaticamente che mostra la differenza percentuale tra i numeri dei due modelli.
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Attribution IQ nelle metriche calcolate
Questo video illustra come utilizzare le Attribution IQ nelle metriche calcolate.
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Attribution IQ consente di modificare istantaneamente il modello di attribuzione in uno qualsiasi dei dieci modelli basati su regole su una colonna a forma libera.
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Questo video mostra il Pannello Attribution IQ, un ottimo punto di partenza per la creazione del progetto di attribuzione Analysis Workspace.
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Utilizzo di diversi modelli di Attribution IQ con i segmenti in Analysis Workspace
Questo video illustra come utilizzare i modelli di Attribution IQ in combinazione con i segmenti Adobe Analytics sul sito.
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Modello algoritmico in Attribution IQ
Il modello di attribuzione algoritmica di Analysis Workspace utilizza tecniche statistiche per determinare in modo dinamico l’attribuzione ottimale del merito per la metrica selezionata.
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Finestre di look-back personalizzate in Attribution IQ
Le finestre di look-back personalizzate consentono di espandere la finestra di attribuzione oltre l’intervallo di reporting (fino a un massimo di 90 giorni) e si applicano a ogni conversione nello stesso intervallo. In genere, tenere conto delle interazioni avvenute nei mesi precedenti aumenta la precisione dell’attribuzione per gli eventi che si verificano all’inizio del periodo di reporting.
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