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2. Web analytics - Wikipedia

   en.wikipedia.org/wiki/Web_analytics

   Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

3. Ad tracking - Wikipedia

   en.wikipedia.org/wiki/Ad_Tracking

   Some ad tracking studies are conducted continuously and others are conducted at specific points in time (typically before the advertising appears in market, and then again after the advertising has been running for some period of time). The two approaches use different types of analyses, although both start by measuring advertising awareness.

4. Click-through rate - Wikipedia

   en.wikipedia.org/wiki/Click-through_rate

   It is commonly used to measure the success of an online advertising campaign for a particular website, as well as the effectiveness of email campaigns. [1] [2] Click-through rates for ad campaigns vary tremendously. The first online display ad, shown for AT&T on the website HotWired in 1994, had a 44% click-through rate. [3]

5. Pay-per-click - Wikipedia

   en.wikipedia.org/wiki/Pay-per-click

   Pay-per-click (PPC) has an advantage over cost-per-impression in that it conveys information about how effective the advertising was. Clicks are a way to measure attention and interest. If the main purpose of an ad is to generate a click, or more specifically drive traffic to a destination, then pay-per-click is the preferred metric.

6. Dashboard (computing) - Wikipedia

   en.wikipedia.org/wiki/Dashboard_(computing)

   The user can easily download and add files to their Excel sheets to use for their data. Other tools Excel offers is the use of conditional formatting and basic pivot tables and charts. Excel allows the user to reference other cells which ultimately allows for complex computations to be made and conclusions to be drawn from data. [21]

7. Marketing mix modeling - Wikipedia

   en.wikipedia.org/wiki/Marketing_mix_modeling

   Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.