R Archives - Piwik PRO

Raw data analysis

Wed, 06 May 2020 07:07:16 +0000

Raw data is unstructured and unformatted data that comes directly from a source. It can be in different formats, such as files, visual images, figures, database records or any other digital data. Raw data is unprocessed, not “trimmed”, unlike aggregated data, which is presented in a summarized format and limits your analytical capabilities.

Applying raw data for analysis lets you make more advanced and accurate evaluations. Exporting raw data from a web analytics platform allows you to utilize it in other tools and conduct further analysis.

To learn more about raw data in analytics, read our posts:

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Raw data vs. processed (aggregated) data

Wed, 12 Jun 2024 14:44:45 +0000

Raw data refers to the most basic and unorganized form of data that provides a comprehensive dataset that can be used for thorough analysis. It offers the flexibility to apply filters and visualizations to derive new insights and perspectives. However, raw data requires significant time and effort to process and transform into actionable insights, and handling large datasets can be resource-intensive, particularly in advanced analytics.

Processed data, on the other hand, is raw data that has been transformed or analyzed to make it easier to interpret. However, processed data may lack the detail of raw data due to its aggregated and condensed nature.

Key differences between raw data vs. processed data include:

State and organization: Raw data is unorganized and in its original form, whereas processed data is cleaned, organized, and summarized.
Effort and resources: Raw data requires significant time and resources to process and analyze, while processed data is readily interpretable and easier to work with.
Detail and completeness: Raw data is complete and comprehensive, allowing for thorough analysis, while processed data is condensed and may lack some detailed information.
Flexibility: Raw data offers flexibility for various analyses and reporting needs, whereas processed data is tailored for specific interpretations and insights.

Learn more about the use cases for raw data analytics from this post: How to use raw data in web analytics.

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React Native analytics

Mon, 28 Mar 2022 07:16:30 +0000

React Native analytics is a piece of software that lets you collect data about a mobile app that was built using React Native. Such analytics software enables you to understand how users interact with your app. It makes it possible to, for instance:

measure app installations and downloads
discover user exit points
gather data on the amount of time spent in an app

Collecting that information is essential for your product, marketing and sales teams. They can apply it to improve user acquisition, engagement, retention or in-app purchases. Also, developers can use it to get inspiration for creating new features.

But what exactly is React Native? It’s an open-source JavaScript framework created by Facebook. It’s one of the most popular development frameworks for creating cross-platform applications for Android and iOS.

Using React Native for creating apps you have one code that works on many platforms, including iOS and Android. Such a solution offers several benefits.

First, it speeds the development of an application and cuts the time to market. Since developers create a single codebase they don’t need to use multiple technologies. That makes the process cost-effective as it requires less resources.

Finally, because developers need only one codebase, it’s easier to maintain both the app and code.

If you’d like to learn about analytics that can track mobile apps built on React Native, read our post: Comparison of 6 free and paid mobile app analytics platforms

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Real-time data

Wed, 29 May 2024 10:07:41 +0000

Real-time data refers to information captured, processed, and made available for viewing almost immediately after collection. This data type is constantly updated and provides users with the most current information available at any given time. Real-time data is crucial in various situations, such as analyzing live trends and making informed, time-sensitive decisions. You can collect and process real-time data with an analytics platform.

Real-time data offers several benefits, including:

Immediate insights: Real-time data provides up-to-the-minute information, allowing for quick decision-making based on current conditions.
Enhanced situational awareness: By monitoring real-time data, organizations can stay informed about changing trends, issues, or opportunities as they happen.
Improved efficiency: Access to real-time data can streamline processes, prevent delays, and reduce bottlenecks by enabling faster responses to changing circumstances.
Competitive advantage: Leveraging real-time data can give organizations a competitive edge by enabling them to act swiftly in response to market changes or emerging trends.

Digital marketing analytics: The beginner’s guide to data-driven marketing success

Real-time reporting

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Real-time data analytics

Wed, 29 May 2024 10:16:07 +0000

Real-time data analytics processes and analyzes data as soon as it is generated, providing instant insights and enabling immediate actions.

Real-time data analytics has various applications, including content analytics, live traffic monitoring, customer personalization, improving conversion and retention rates, and dynamic pricing strategies. By harnessing real-time data, organizations can gain a competitive edge, enhance operational efficiency, and improve user and customer experiences.

Read more:

Real-time reporting

Real-time data

Content tracking

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Real-time reporting

Wed, 29 May 2024 09:26:49 +0000

Real-time reporting in analytics refers to generating and delivering reports on data as it is collected or updated. It enables businesses and organizations to instantly monitor their operations, performance, and key metrics, allowing for quick decision-making and timely actions.

Typically, real-time reporting involves:

Continuous data collection: Data is gathered from various sources such as websites, mobile apps, data warehouses, or other systems.
Immediate data processing: Once data is collected, it is processed instantly to derive insights and generate reports without delay.
Instantaneous visualization: The processed data is then visualized in real-time through dashboards, graphs, charts, or other visual representations, providing stakeholders with up-to-date information.
Alerting mechanisms: Real-time reporting tools or analytics platforms offering this feature often include alerting mechanisms that notify users of significant events or anomalies as they occur, allowing for proactive responses.

Real-time reporting is particularly beneficial in industries where timely decision-making is critical, such as publishers, ecommerce, event-related businesses, healthcare, and finances. It helps organizations stay responsive to changing conditions, identify emerging trends, and seize opportunities as they arise.

The use cases of real-time reporting include:

Content analysis: Analyze content in real-time to keep visitors on the page for as long as possible, for example, by finding the best headline in seconds.
Live traffic monitoring: When streaming an event in real-time and looking to launch ads during the stream, it’s important to monitor live traffic to understand the number of viewers. This data can then be used to make informed decisions – for example, to adjust infrastructure while opening sales of popular events.
Campaign monitoring: Observe the target audience’s reactions to a campaign that attracts the majority of visitors in a short period after its launch. For example, you can study the number of visitors from a certain region, when they are most active, and which ads, emails, and content they prefer.
Ecommerce: You can monitor in real-time what products are being sold the most or what products are being added to a cart. Thanks to these insights, you may instantly react to improve sales and use various personalization strategies. You can also introduce dynamic pricing, raising prices on the high-demand products and lowering them for those not selling well.
Improving UX: Use real-time reporting to optimize UX – user interactions, click-through rates, and quick pop-up surveys.
Tracking product launch metrics: This helps you measure your progress toward achieving your predefined goals and objectives.
Website implementation: Use real-time reports to monitor different website aspects. For example, ensure everything works correctly after an update or check whether campaigns are appropriately tagged in reports instead of a tracker debugger.

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Redirection

Tue, 23 Jul 2019 08:34:57 +0000

Redirection is a process that takes visitors from one URL to another (page or file). Its purpose is generally to straighten out your website and get rid of dead ends. Most users won’t notice that they have been redirected. Redirect is crucial for good visitor experience because without them your visitors will bump into 404 pages (aka page not found).

There are a couple of HTTP statuses regarding redirection:

301 Moved permanently – This mostly used response code means that the URI of the requested resource has been changed permanently.
302 Found – This response code means that the URI of the requested resource has been changed temporarily.

And another:

303 See Other
304 Not Modified
305 Use Proxy
306 unused
307 Temporary Redirect
308 Permanent Redirect

Redirection is commonly used for Search engine optimization (SEO) .

To learn more about improving user experience, read our article 10 things to consider for improving user experience with web analytics

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Referral / referrer

Wed, 10 Jul 2019 13:44:00 +0000

Referrals in web analytics are sites that bring people to your site via a certain link. A referrer report gives you information on where your visitors come from and what your traffic sources are.

We can divide referrers into four groups:

Direct entry – all visits created by direct visit, or when info about real referrer is missed because of any reason
Websites – referrals from other websites
Campaigns – referrals from other websites but with tagging parameters
Search engines – entries from Google, Bing, etc.

More about referrers on the Piwik PRO blog:

Also, learn about referrals from our help center: Website & social report

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Retargeting / remarketing

Fri, 17 May 2019 12:23:40 +0000

Retargeting, also known as remarketing, displays personalized ads in online advertising campaigns. It engages users after they’ve bounced from your website and is based on their behavior, displayed during their visit.

By collecting data about the sites they’ve visited, actions they’ve performed and events they’ve triggered, you are able to create audiences/segments based on these and personalize the content.

The goal is to reach users, who haven’t performed desired actions and generate more Conversion s, thus improve the Conversion rate .

More about retargeting on the Piwik PRO blog:

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Retention marketing

Mon, 10 Jun 2019 08:09:40 +0000

A popular form of marketing in ecommerce, retention marketing focuses on keeping existing customers, not only gaining new ones. By driving customer engagement existing customers are more likely to become repeat customers. To get more details on tools and tips that help you retain customers, read our posts:

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