User’s like­li­hood to con­vert

Web Designer - - Tutorials -

Us­ing the same data mod­el­ling tech­niques that de­ter­mine ‘smart lists and goals’, An­a­lyt­ics cal­cu­lates the per­cent­age con­ver­sion prob­a­bil­ity di­men­sion, and the av­er­age con­ver­sion prob­a­bil­ity met­ric, to de­ter­mine a user’s like­li­hood to con­vert.

Trans­ac­tions for each user are then eval­u­ated, and the re­sult­ing prob­a­bil­ity of con­ver­sion is ex­pressed as an av­er­age score of 1 (mean­ing least prob­a­ble) to 100 (most prob­a­ble) for all users dur­ing the date range.

By iden­ti­fy­ing re­cent web­site vis­i­tors with the high­est prob­a­bil­ity of a fu­ture con­ver­sion, we can seg­ment these po­ten­tially-con­vert­ing users and cre­ate au­di­ences for anal­y­sis and tar­get them specif­i­cally in re­mar­ket­ing cam­paigns.

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