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Percentage of High, Medium and Low Recency Visitors

  • 1.  Percentage of High, Medium and Low Recency Visitors

    Posted 03-13-2017 04:42 PM

    Introduction:

    Recency data helps uncover how regularly people tend to visit. To measure recency, analytics tools report the number of days that have passed since each user’s previous visit. Recency data also helps you make sense of the frequency data, to better understand when people return to the site. Recency is calculated as days since <g class="gr_ gr_50 gr-alert gr_gramm gr_run_anim Grammar only-ins replaceWithoutSep" id="50" data-gr-id="50">last</g> visit. Having low recency means that the user returned after a short amount of time vs having high recency means that the user returned after a long amount of time.

    Analysis Overview:

    Presented will be the key events that need to be recorded in order to do efficient analysis and to better understand high vs low numbers in a recency report.

    Analysis Benefits:

    The analysis will provide you with <g class="gr_ gr_47 gr-alert gr_gramm gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" id="47" data-gr-id="47">better</g> understanding of what the results of recency reports mean, which pushes you to better understand customer journeys as well as their needs and behaviors. Analyzing high, medium, and low recency visitors should help you answer questions such as:

    • How many times do people visit before they finally convert or take some other desirable action?
    • Do those visits occur within a short time frame or are there large gaps between sessions?
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    Ashley Park
    Digital Analyst
    Analytics Pros (Corporate Account)
    Seattle WA
    206.331.4034
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