Piwik PRO blog

Where digital marketing professionals find advice on how to collect and analyze data in a privacy-friendly way.

  • How multi-channel attribution works in Piwik PRO

    As someone investing in dozens of channels – social media, search advertising, email, blogging and more – you want to know which are giving the best return on investment. You want a reliable multi-channel attribution analysis that lets you: But how can you do that when the customer journey is so fragmented? Going from first…

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  • 4 key differences between data management platforms and customer data platforms [UPDATED]

    Data management platforms. Customer data platforms. Their names may sound similar, but are they the same? Let us guide you through the main differences between DMPs and CDPs. For many years, data management platforms were the most useful tool in digital marketing and advertising. It was the first technology that allowed advertisers and marketers to…

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  • Matomo performance issues: What causes them and how to fix them

    Many companies choose Matomo because it doesn’t share user details with advertising systems and allows for keeping data in virtually any location on the globe. But if you’re reading this article, you probably know this already. And you also know that Matomo sometimes faces performance issues. This won’t happen if you run small analytics projects…

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  • Web analytics for governments part 2: How to work with strategic & tactical goals

    This article is the second of a three-part series about the FTG framework – a web analytics model designed with the websites of public institutions in mind. The framework was created by Toon Vuursteen, a Dutch thought leader in digital analytics for the public sector, now supporting the digital transformation of GBBO, an agency specialized…

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  • When design goes awry – How dark patterns conflict with GDPR and CCPA

    The designs of websites and apps often guide users and help them navigate content in a simple way. An “X” icon serves for closing documents and programs. The red color around that “X” is a warning signal that catches your attention. Cues such as this are like a secret language to make sites and software…

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  • Piwik PRO Analytics Suite 15.1. New attribution models and custom channel grouping

    Our team is bringing analytics to the next level and we’re adding tools for analysis and modeling of conversion attribution to Piwik PRO with Version 15.1. We’re also introducing custom channel grouping and some other handy add-ons and improvements. The final release will take place on November 12th, 2020, and it covers only the Analytics…

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  • Piwik PRO Analytics Suite 15: Tracker debugger, new UI in Tag Manager and more

    We’re glad to share the news that Piwik PRO is introducing version 15 of its Analytics Suite. We’ve only recently released Piwik PRO Analytics Suite 14 and now we’re adding more new and upgraded features and capabilities. Improvements include, among other things, the tracker debugger, public API and UI in the Tag Manager and an…

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  • The invalidation of Privacy Shield and the status of EU-US data transfers

    Privacy Shield is no longer a valid legal framework for transferring data from the EU and Switzerland to the US. But large tech companies such as Google still send heaps of data about EU residents to the US. So what has changed?

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  • Raw data and sampled data: How to ensure your data is accurate

    Every decision maker seeks insights and knowledge to steer their organization in the right direction. Data from your website, sales figures and customer feedback let you see a story that, when combined with accurate data, reveals paths towards achieving your business goals. In this article we will dig deeper into raw and sampled data. We…

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  • Customer data platforms: The best choice in the post-GDPR landscape

    This blog post was originally published on April 18th 2018 with the title “Customer data platform overtakes DMP in the GDPR compliance race” Since the GDPR has come into force, navigating through the data ecosystem has become even more complicated. It has a tremendous impact on how organizations handle personal data. Consequently, it has also…

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