Web Analytics (Exam 2) Flashcards

1
Q

___ are used to
describe data, while ___ are used to measure data

A

Dimensions, metrics

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2
Q

___ are files that are exchanged between
a web browser and a server. They help distinguish
between users and track the difference between
repeat views and unique visitors, without collecting
any personal information such as names. These cookies
typically have a lifespan of 60 days, meaning that a
user will be considered unique during this period.

A

cookies

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3
Q

a single visit or interaction by a user with a website or app

A

Session

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4
Q
  1. Measure website traffic against standards, guiding
    marketing strategies.
  2. Assess the impact of marketing efforts on brand
    recognition.
  3. Evaluate marketing campaign success.
A

Session metrics

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5
Q

represents a unique individual that
interacts with a website
This metric does not always correctly determine
whether visits from multiple devices all originated from the same individual

A

user

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6
Q

Those visitors who have never
visited a site in the past. Measure on how
effectively a marketing campaign has been
attracting new potential customers

A

New visitors

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7
Q

Returning visitors is a measure of visitor’s

A

Loyalty

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8
Q

allows for segmentation based on user
behaviors, which can reveal regional
differences in consumer interests across
product, price, place, and promotion

A

Geolocation

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9
Q

Any action that shows a consumer
finds a brand’s communication interesting,
entertaining or informative

A

Engagement

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10
Q

The number of
visitors who viewed only one page and then exited the
site.

A

Bounce rate

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11
Q

Represent the various marketing pathways that direct consumers to your website (organic search, direct traffic, referral traffic, affiliate links, etc.

A

Acquisition Channels

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12
Q

An advanced method that involves adding
specific parameters to standard URLs. This helps
marketers better track information about the source,
medium, and campaign of incoming website traffic

A

Tagged URL

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13
Q

A relative metric in many cases. Marketers should look at trends, rather than focus on absolute numbers.

A

Session Duration

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14
Q

Measures the amount of time
viewers spend on a single page. When a page is a
critical component of a brand strategy, this measure tells how effective the page in engaging users. Conversely, when a page has been flagged as having a poor user experience, tracking time spent on the page can indicate if the page is
confusing for visitors

A

Time on page

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15
Q

Simple count of the number of times a page was viewed in a given time. It tracks the relative popularity of the page.

A

Page view

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16
Q

Metric tracking how
many pages they view or actions they take
when on the site in total.

A

Pages per session

17
Q

Step-by-step process by which a consumer engages
with a brand, leading to a conversion.

A

Funnel Visualizations

18
Q

Dedicated pages designed for specific topics, often linked to a single campaign. These pages often have a focused message and a clear call to action to guide visitors toward the desired action

A

Landing pages

19
Q

Conversions / visitors

A

Conversion rates

20
Q

helps to understand which users return, what they do on the site and how
engaged they are.

A

User journey

21
Q

also highlights technical
issues. This is useful for two reasons: it
improves users experience and ensures the
site operates properly

A

Technology behavior

22
Q

measurement and
evaluation of traffic sources

A

Acquisition reporting

23
Q

examine bounce rate, total
sessions, conversions.

A

Interpreting data

24
Q

the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths

A

Attribution models

25
Q

all the credit for a conversion to the last interaction that the user had before making a purchase

A

Last click

26
Q

all the credit for a conversion to the first interaction that the user
had with a brand.

A

First click

27
Q

Equal credit to all touchpoints that a user had before making a conversion

A

Linear

28
Q

more credit to touchpoints that are closer in time to the
conversion

A

Time decay

29
Q

more credit to a user’s first and last interactions before making a conversion

A

Position-based

30
Q

rely solely on historical data and quantitative analysis to
determine how each touchpoint contributes to conversions

A

Data-driven