C Archives - Piwik PRO https://piwik.pro/glossary-category/c/ Wed, 06 Nov 2024 13:57:13 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 https://piwik.pro/wp-content/uploads/2024/04/favicon.png C Archives - Piwik PRO https://piwik.pro/glossary-category/c/ 32 32 Calculated metrics https://piwik.pro/glossary/calculated-metrics/ Thu, 25 Aug 2022 12:37:48 +0000 https://piwik.pro/?post_type=glossary&p=40267 Calculated metrics are custom metrics that you can create from existing metrics. Calculated metrics combine metric values using an equation (addition, subtraction, multiplication, or division) to generate a metric that can be expressed as a number, a percentage, or a ratio. It is a valuable solution if you miss this one-of-a-kind metric that is typical […]

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Calculated metrics are custom metrics that you can create from existing metrics. Calculated metrics combine metric values using an equation (addition, subtraction, multiplication, or division) to generate a metric that can be expressed as a number, a percentage, or a ratio.

It is a valuable solution if you miss this one-of-a-kind metric that is typical only for your business. For example, if you want to know the percentage of people that don’t bounce – no-bounces – you’ll have to create this metric yourself. Calculated metrics allow you to get more insight into what happens during each stage of a user’s life cycle.

Here are some examples of calculated metrics:

Pages per visitor: Similar to the default metric: Page views in a session. It shows you the average number of pages a visitor viewed on your site.
Name: Pages / visitors
Formatting: Number
Formula: {page_views} / {visitors}

Visitor e-commerce conversion rate: Focuses on e-commerce conversions based on visitors (not sessions).
Name: Visitor e-commerce conversion rate
Formatting: Percentage.
Formula: {ecommerce_conversions} / {visitors}

No-bounces: The opposite of the default metric: Bounces. It helps you focus on traffic that didn’t bounce after the first-page view.
Name: No-bounces
Formatting: Number
Formula: {sessions} – {bounces}

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California Privacy Rights Act (CPRA) https://piwik.pro/glossary/california-privacy-rights-act-cpra/ Mon, 27 Mar 2023 11:45:42 +0000 https://piwik.pro/?post_type=glossary&p=43036 The California Privacy Rights Act (CPRA) is a state-wide data privacy bill approved by California voters on November 3, 2020. The CPRA significantly amends and expands the existing California Consumer Privacy Act (CCPA). The main changes introduced by the CPRA include: For more information on the CPRA, CCPA, and other laws in the US, check […]

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The California Privacy Rights Act (CPRA) is a state-wide data privacy bill approved by California voters on November 3, 2020. The CPRA significantly amends and expands the existing California Consumer Privacy Act (CCPA).

The main changes introduced by the CPRA include:

  • Establishing a new government agency for state-wide data privacy enforcement, the California Privacy Protection Agency (CPPA).
  • Creating a category of sensitive personal information (SPI), which is regulated separately and requires stronger security measures than personal information. SPI includes Social Security Number, driver’s license, financial account information and login credentials, precise geolocation data, biometric or health information, etc.
  • Changing the definition of companies that are subject to the regulation – excluding smaller businesses and including bigger ones.
  • Modifying existing rights and adding four new ones: the rights to correction, opting out of automated decision-making, knowing about automated decision-making, and limiting the use of sensitive personal information.
  • Regulating cross-context behavioral advertising from which users can opt out and ask businesses to stop sharing and selling their personal information with third parties to avoid being targeted with ads based on behavioral data.
  • Adding GDPR-like requirements of data minimization, purpose limitation, and storage limitation.
  • Making a business responsible for how third parties use, share or sell personal information that the business collected in the first place.

For more information on the CPRA, CCPA, and other laws in the US, check out our blog content:

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Call to action (CTA) https://piwik.pro/glossary/call-to-action-cta/ Fri, 17 May 2019 12:34:03 +0000 https://piwik.pro/?post_type=glossary&p=25100 A direct message to the user to encourage them to carry out a desired . This action can be, for example: In most cases CTA is represented by a distinctive button. CTA should be visible, clear and promising. CTAs should be a vital part of . More about the call-to-actions on the Piwik PRO blog:

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A direct message to the user to encourage them to carry out a desired Action .

This action can be, for example:

  • Purchase
  • Download
  • Registration for a newsletter within a marketing campaign

In most cases CTA is represented by a distinctive button. CTA should be visible, clear and promising. CTAs should be a vital part of A/B testing .

More about the call-to-actions on the Piwik PRO blog:

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Campaign tracking https://piwik.pro/glossary/campaign-tracking/ Fri, 29 Mar 2019 08:14:20 +0000 https://piwik.pro/?post_type=glossary&p=24201 Campaign tracking is the process of tracking and monitoring the performance of marketing campaigns. It helps you measure the effectiveness of your marketing channels, traffic sources, or content used with a given campaign. It lets you assess whether your investment has paid off or not. Monitoring your campaigns also gives valuable information about user engagement […]

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Campaign tracking is the process of tracking and monitoring the performance of marketing campaigns. It helps you measure the effectiveness of your marketing channels, traffic sources, or content used with a given campaign. It lets you assess whether your investment has paid off or not.

Monitoring your campaigns also gives valuable information about user engagement and opportunities to improve it.

Analyze the recorded data and learn:

  • Where do users come from?
  • How many clicks does an advertisement banner receive?
  • How do visitors behave on your site?

What’s more, campaign tracking helps you with conversion attribution, that is, assigning credit for conversions in a customer journey that spans more than one channel.

Campaign tracking requires tagging the links you use in campaigns. Tagging means adding special parameters to URLs so your analytics software can recognize a particular campaign and assess exactly how your ad or marketing initiatives are performing.

Tagged URLs contain information about source, medium, keywords and the campaign name.

An example of a tagged URL using PK parameters (used only in Piwik PRO):

https://www.example.com/?pk_source=google&pk_medium=cpc&pk_campaign=Winter2019

An example of a tagged URL using UTM parameters (used in multiple analytics and marketing platforms, also in Piwik PRO):

https://www.example.com/?utm_source=google&utm_medium=cpc&utm_campaign=Winter2019

In both examples, we can extract the following information:

  • Traffic comes from paid results in Google search engine: google / cpc
  • With listed campaign names, such as Winter2019, we know exactly which campaign drove traffic to our Landing page .

More about campaign tracking on the Piwik PRO blog:

To get more technical perspective on campaign tracking, visit our help center: Campaign report

Feel free to use our own tagging tool: Piwik PRO URL builder

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Cart abandonment rate https://piwik.pro/glossary/cart-abandonment-rate/ Wed, 19 Jul 2023 07:57:27 +0000 https://piwik.pro/?post_type=glossary&p=45064 The cart abandonment rate shows the percentage of abandoned shopping carts before completing a purchase. It indicates the correlation between the number of abandoned shopping carts and the number of initiated transactions. This metric helps marketers understand the behavior of visitors on a particular website. It is calculated by dividing the total number of completed […]

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The cart abandonment rate shows the percentage of abandoned shopping carts before completing a purchase. It indicates the correlation between the number of abandoned shopping carts and the number of initiated transactions. This metric helps marketers understand the behavior of visitors on a particular website.

It is calculated by dividing the total number of completed transactions by the total number of initiated transactions. This rate will identify what percentage of visitors add an item to the cart but don’t complete the purchase.

It is an essential metric for ecommerce sites because a high cart abandonment rate could mean a website needs a better user experience or a sales funnel needs to be fixed. Reducing this metric leads directly to increased sales and revenue, so optimizing this area is important.

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Churn rate https://piwik.pro/glossary/churn-rate/ Thu, 03 Aug 2023 10:14:30 +0000 https://piwik.pro/?post_type=glossary&p=45476 Churn rate shows the percentage of customers or subscribers who cancel their subscriptions or stop doing business with you within a given time. A high churn rate affects profits and interferes with growth. The churn rate is calculated by dividing the number of lost customers by the number of customers at the start of the […]

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Churn rate shows the percentage of customers or subscribers who cancel their subscriptions or stop doing business with you within a given time. A high churn rate affects profits and interferes with growth. The churn rate is calculated by dividing the number of lost customers by the number of customers at the start of the given period, then multiplying it by 100.

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Click analytics https://piwik.pro/glossary/click-analytics/ Wed, 03 Jul 2024 12:52:19 +0000 https://piwik.pro/?post_type=glossary&p=50252 Click analytics is a method for analyzing website visitors’ behavior by tracking the links or elements they click on. This analysis provides valuable insights into user engagement, popular content, conversion rates, and overall website performance. Click analytics tools help website owners make data-driven decisions to optimize their websites and improve user experience (UX). Learn more: […]

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Click analytics is a method for analyzing website visitors’ behavior by tracking the links or elements they click on. This analysis provides valuable insights into user engagement, popular content, conversion rates, and overall website performance. Click analytics tools help website owners make data-driven decisions to optimize their websites and improve user experience (UX).

Learn more:

Analytics dashboard

Analytics suite

App analytics

Heatmap

Real-time data analytics

Marketing performance analytics

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Click path https://piwik.pro/glossary/click-path/ Fri, 29 Mar 2019 08:16:33 +0000 https://piwik.pro/?post_type=glossary&p=24202 Click path, also called user flow, shows the path users travel across your site on their way to a defined goal. A click path report helps you understand how users navigate your site or digital product and reach goals by showing you which path or sequence of actions visitors followed prior to a goal conversion. […]

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Click path, also called user flow, shows the path users travel across your site on their way to a defined goal. A click path report helps you understand how users navigate your site or digital product and reach goals by showing you which path or sequence of actions visitors followed prior to a goal conversion.

Knowing what your visitors do on your website allows you to change the content, layout, and placement of your call-to-action (CTA) buttons. This will not only improve the user experience but also drive conversion.

An example of click path:

More about click path and user flow on the Piwik PRO blog:

For more technical aspects of the user flow, read Piwik PRO help center articles:

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Click-through rate (CTR) https://piwik.pro/glossary/click-through-rate-ctr/ Tue, 04 Apr 2023 09:30:52 +0000 https://piwik.pro/?post_type=glossary&p=43130 Click-through rate (CTR) is a metric reflected by the ratio of the number of clicks on a link, button, or ad to the number of it received – determined by how many users saw it. For example, if an ad has been clicked on 200 times after being displayed 50,000 times, it has a click-through […]

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Click-through rate (CTR) is a metric reflected by the ratio of the number of clicks on a link, Call to action (CTA) button, or ad to the number of Impressions it received – determined by how many users saw it.

For example, if an ad has been clicked on 200 times after being displayed 50,000 times, it has a click-through rate of 0.4%.

CTR measures the effectiveness of your content and marketing campaigns, such as PPC, email, or social media, in reaching your target audience. It can also help evaluate the success of different marketing channels in the business’ total performance. Moreover, CTR assesses how effective your choice of CTAs and advertising copy is.

The higher the click-through rate, the more successful the content or ad is in generating interest. If your CTR is low, you may be targeting the wrong audience, using messaging that doesn’t resonate with users, or spending money on irrelevant Keywords . There isn’t a single benchmark determining what makes a good CTR, as it will vary across industries and campaigns.

CTR alone doesn’t give you a complete overview of your company’s marketing performance, so reaching a high CTR shouldn’t be your primary goal. Always focus on business metrics first and combine CTR with other metrics, such as conversion rates.

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Client-side analytics https://piwik.pro/glossary/client-side-analytics/ Tue, 05 Nov 2024 16:05:08 +0000 https://piwik.pro/?post_type=glossary&p=59225 Client-side analytics refers to a traditional way of tracking and collecting user interaction data directly from the user’s browser. This method is primarily executed through JavaScript code that triggers events based on user actions such as page views, clicks, and scrolls. The collected data is then sent to an analytics platform for processing and reporting.  […]

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Client-side analytics refers to a traditional way of tracking and collecting user interaction data directly from the user’s browser. This method is primarily executed through JavaScript code that triggers events based on user actions such as page views, clicks, and scrolls. The collected data is then sent to an analytics platform for processing and reporting. 

The characteristics of client-side analytics include:

  • Ease of implementation: Setting up client-side tracking is generally straightforward – it often involves adding a snippet of code to the website.
  • Cookies: Client-side analytics often utilizes cookies to track users over time, allowing for a more detailed understanding of user behavior and preferences. 
  • Privacy compliance: As data gathered through client-side analytics often comprises personal data, its collection must comply with privacy regulations such as GDPR, including obtaining user consent.
  • Data reliability issues: Data collection accuracy can be compromised due to factors like ad blockers or browser settings that limit tracking capabilities.
  • Site performance: Excessive client-side tracking can slow down website performance, potentially affecting user experience.

Client-side analytics differs from server-side analytics, which involves tracking and collecting website data on a dedicated server of a website or app. 

A hybrid tracking method known as server-side tracking with a first-party collector combines the benefits of server-side and client-side analytics. In this approach, cookies are set on the client side, and the tracking requests come directly to a first-party domain instead of a third-party analytics platform.

Learn more:

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