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• Output file does not show up after executing ffmpeg command [closed]

  19 février 2024, par davai

  I'm using ffmpeg to combine an MP3 + G file and produce an MP4 file. I've placed the source code / .exe file for 'ffmpeg' in the project folder, and the MP3 + G files are also in the project folder. I also set the MP4 output to show up in the project folder as well. The weird thing is that, initially, I was producing output files, and while trying to tweak the constant rate factor, the MP4 output just stopped showing up entirely. I'm also not receiving any errors while running the code, and it does print out that the file has been successfully created, despite nothing showing up in the project folder.

  


  
        String mp3FilePath = "C:/Users/exampleuser/pfolder/example.mp3";
        String gFilePath = "C:/Users/exampleuser/pfolder/example.cdg";
        String mp4OutputPath = "C:/Users/exampleuser/pfolder/example.mp4";

        try
        {
            String[] command = {
                    "C:/Users/tonih/IdeaProjects/MP3GtoMP4Conversion/ffmpeg/ffmpeg-2024-02-19-git-0c8e64e268-full_build/bin/ffmpeg.exe",
                    "-i", mp3FilePath,       // Input MP3 file
                    "-r", "25",              // Frame rate
                    "-loop", "1",            // Loop input video
                    "-i", gFilePath,         // Input G file
                    "-c:v", "libx264",       // Video codec
                    "-preset", "slow",       // Encoding preset for quality (choose according to your requirement)
                    "-crf", "18",            // Constant Rate Factor (lower is higher quality, typical range 18-28)
                    "-c:a", "aac",           // Audio codec
                    "-b:a", "320k",          // Audio bitrate
                    "-shortest",             // Stop when the shortest stream ends
                    mp4OutputPath            // Output MP4 file
            };

            Process process = Runtime.getRuntime().exec(command);
            process.waitFor();
            System.out.println("MP4 file created successfully: " + mp4OutputPath);
        }
        catch (IOException | InterruptedException e)
        {
            e.printStackTrace();
        }


  


• A Primer to Ethical Marketing : How to Build Trust in a Privacy-First World

  11 mars, par Alex Carmona — Marketing, Privacy, ethical marketing

  Imagine a marketing landscape where transparency replaces tactics, where consumer privacy is prioritised over exploitation, and where authentic value builds genuine relationships.

  This isn’t just an ideal—it’s the future of marketing. And it starts with ethical marketing practices.

  76% of consumers refuse to buy from companies they do not trust with their data. Ethical marketing has become essential for business survival. As privacy regulations tighten and third-party cookies phase out, marketers face a critical question : how can they balance effective, personalised campaigns whilst respecting privacy ?

  This comprehensive guide explores what ethical marketing is, the key principles behind ethical marketing practices, and practical strategies to implement an ethical approach that builds trust while driving growth.

  What is ethical marketing ? A comprehensive definition

  Ethical marketing places respect for consumer boundaries at its core whilst delivering genuine value. It prioritises transparent practices, honest communication, and fair value exchange with consumers. This approach represents a significant shift from traditional marketing, which often relied on collecting vast amounts of user data through invasive tracking methods and obscure policies.

  The modern approach to ethical marketing creates a foundation built on three key pillars :

  • User Control : Giving people genuine choice and agency over their data
  • Fair Value : Providing clear benefits in exchange for any data shared
  • Transparency : Being honest about how data is collected, used, and protected

  

  Key principles of ethical marketing

  Transparency

  Transparency means being clear and forthright about your marketing practices, data collection policies, and business operations. It involves :

  • Using plain language to explain how you collect and use customer data
  • Being upfront about pricing, product limitations, and terms of service
  • Disclosing sponsored content and affiliate relationships
  • Making privacy policies accessible and understandable

  When Matomo surveyed 2,000 consumers, 81% said they believe an organisation’s data practices reflect their overall treatment of customers. Transparency isn’t just about compliance—it’s about demonstrating respect.

  Honesty

  While similar to transparency, honesty focuses specifically on truthfulness in communications :

  • Avoiding misleading claims or exaggerations about products and services
  • Not manipulating statistics or research findings to support marketing narratives
  • Representing products accurately in advertisements and marketing materials
  • Acknowledging mistakes and taking responsibility when things go wrong

  Social responsibility

  Ethical marketing requires consideration of a brand’s impact on society as a whole :

  • Considering environmental impacts of marketing campaigns and business practices
  • Promoting diversity and inclusion in marketing representations
  • Supporting social causes authentically rather than through “purpose-washing”
  • Ensuring marketing activities don’t promote harmful stereotypes or behaviours

  Ethical marketing dilemmas : Navigating complex business decisions

  Data privacy concerns

  The digital marketing landscape has been transformed by increasing awareness of data privacy issues and stricter regulations like GDPR, CCPA, and upcoming legislation. Key challenges include :

  • The phase-out of third-party cookies, impacting targeting and measurement
  • Growing consumer resistance to invasive tracking technologies
  • Balancing personalisation with privacy (71% of consumers expect personalised experiences, yet demand privacy)
  • Ensuring compliance across different jurisdictional requirements

  Cultural sensitivity

  Global brands must navigate complex cultural landscapes :

  • Avoiding cultural appropriation in marketing campaigns
  • Understanding varied cultural expectations around privacy
  • Respecting local customs and values in international marketing
  • Adapting messaging appropriately for diverse audiences

  Environmental sustainability

  The environmental impact of marketing activities is under increasing scrutiny :

  • Digital carbon footprints from ad serving and website hosting
  • Waste generated from physical marketing materials
  • Promoting sustainable products honestly without greenwashing
  • Aligning marketing messages with actual business practices

  The benefits of ethical marketing

  For years, digital marketing has relied on third-party data collection and broad-scale tracking. However, new regulations such as GDPR, CCPA, and the end of third-party cookies are pushing brands to adopt ethical data practices.

  Increased customer loyalty

  Ethical marketing fosters deeper relationships with customers by building trust. Research consistently shows that consumers are more loyal to brands they trust, with 71% indicating they would stop buying from a brand if trust is broken.

  These trust-based relationships are more resilient during business challenges. When customers believe in a company’s integrity, they’re more likely to give the benefit of the doubt during controversies or service issues. They’re also more likely to provide constructive feedback rather than simply leaving for competitors.

  Perhaps most importantly, loyal customers become advocates, sharing positive experiences with others and defending the brand against criticism. This organic advocacy is far more powerful than paid promotions and reduces customer acquisition costs significantly over time.

  Enhanced brand reputation

  A strong ethical stance improves overall brand perception across multiple dimensions. Media outlets are increasingly focused on corporate behaviour, providing positive coverage for ethical practices that extends a brand’s reach organically.

  Social conversations about ethical brands tend to be more positive, with consumers sharing experiences and values rather than just discussing products. This creates a halo effect that benefits all aspects of the business.

  This enhanced reputation also provides resilience during public relations challenges. Organisations with strong ethical foundations find it easier to navigate controversies because they’ve built a reservoir of goodwill with customers, employees, and other stakeholders.

  Competitive advantage

  Ethical marketing provides several distinct competitive advantages in modern markets. It helps brands access privacy-conscious consumer segments that actively avoid companies with questionable data practices. These segments often include higher-income, educated consumers who are valuable long-term customers.

  Ethical approaches also reduce vulnerability to regulatory changes and potential penalties. As privacy laws continue to evolve globally, organisations with strong ethical foundations find compliance easier and less disruptive than those scrambling to meet minimum requirements.

  Perhaps most significantly, ethical marketing supports more sustainable growth trajectories. While manipulative tactics might drive short-term results, they typically lead to higher churn rates and increasing acquisition costs. Ethical approaches build foundations for long-term success and stable growth.

  For a detailed roadmap, download the Ethical Marketing Guide.

  Case studies : Ethical marketing in action

  Patagonia : Purpose-driven marketing

  Patagonia integrates sustainability into its marketing, reinforcing its commitment to ethical business practices. By aligning with social causes, the brand strengthens customer loyalty.

  Apple : Privacy as a competitive advantage

  Apple positions itself as a leader in consumer privacy, ensuring data protection remains central to its marketing strategy. This commitment has become a key differentiator in the tech industry.

  Matomo : The ethical analytics tool

  Matomo offers privacy-first analytics that prioritise data ownership and compliance. Businesses using Matomo benefit from accurate insights while respecting user privacy.

  These companies demonstrate that ethical marketing is not just a compliance requirement—it is a long-term competitive advantage.

  Strategies for implementing ethical marketing

  Aligning marketing efforts with brand values

  Consistency between values and actions is essential for ethical marketing. This alignment starts with a clear understanding of what your organisation truly stands for—not just aspirational statements, but genuine commitments that inform daily decisions.

  Implementing this alignment requires cross-functional collaboration. Marketing teams need to work closely with product development, customer service, and leadership to ensure consistency across all touchpoints. When different departments send contradictory messages about company values, trust erodes quickly.

  Clear guidelines help marketing teams apply values in practical decisions, from campaign concepts to media placements. Regular ethical reviews of marketing plans can identify potential issues before campaigns launch, avoiding reactive corrections that damage credibility.

  Privacy-first data strategies

  Developing robust approaches to customer data is fundamental to ethical marketing. This starts with prioritising first-party data (collected directly from your own channels) and zero-party data (actively shared by customers through preference centres, surveys, and similar mechanisms).

  Measuring success doesn’t have to come at the expense of privacy. Ethical analytics provide accurate insights while protecting user data, ensuring compliance, and enhancing customer trust.

  Ethical personalisation approaches focus on using aggregated or anonymised data rather than individual tracking. This allows for relevant experiences without the invasive feeling that erodes trust when consumers feel watched across the internet.

  Most importantly, ethical data strategies create transparent value exchanges where users clearly understand what benefits they receive in return for sharing information. This reciprocity transforms data collection from exploitation to fair exchange.

  Measuring success ethically

  Traditional marketing measurement often relies on individual-level tracking across sites and platforms. Ethical approaches require adapting these frameworks to respect privacy while still demonstrating impact.

  Focusing on aggregate patterns rather than individual behaviour provides valuable insights without privacy invasions. For example, understanding that 30% of visitors to a specific page subsequently make purchases is actionable intelligence that doesn’t require tracking specific people.

  Incrementality testing measures campaign impact by comparing outcomes between exposed and control groups at an aggregate level. This provides more accurate attribution than traditional last-click models while respecting privacy boundaries.

  Server-side conversion tracking offers another ethical measurement approach, collecting necessary data on your servers rather than through client-side scripts vulnerable to blocking. This improves data accuracy while reducing reliance on cookies and browser storage.

  Implementing ethical marketing strategies : A practical framework

  1. Align marketing with brand values – Ensure campaigns reflect transparency and trust

  2. Leverage first-party data – Collect insights directly from consumers with clear consent

  3. Respect privacy and consent – Give users control over their data and clearly communicate its use

  4. Create value-driven content – Offer educational and relevant resources instead of relying solely on advertising

  5. Use privacy-compliant analytics – Switch to ethical platforms such as Matomo for responsible performance measurement

  For a step-by-step guide to implementing ethical marketing strategies, download the full report here.

  

  The future of ethical marketing

  With the decline of third-party cookies and the rise of privacy regulations, ethical marketing is no longer optional. Brands that adopt privacy-first practices now will gain a sustainable competitive edge in the long term. The future of marketing belongs to brands that earn consumer trust, not those that exploit it.

  Key trends shaping the future of marketing include :

  • Privacy-first analytics to replace invasive tracking
  • First-party and zero-party data strategies for direct consumer engagement
  • Consent-driven personalisation to balance relevance and privacy
  • Greater emphasis on corporate social responsibility in marketing initiatives

  Companies that proactively address these changes will build stronger customer relationships, enhance brand reputation, and ensure long-term success.

  Take the next step

  Ready to transform your marketing approach for 2025 and beyond ?

  Download Matomo’s comprehensive “2025 Ethical Marketing Field Guide” to get practical frameworks, implementation strategies, and real-world case studies that will help you build trust while driving growth.

  With detailed guidance on first-party data activation, consent-based personalisation techniques, and privacy-preserving analytics methods, this guide provides everything you need to future-proof your marketing strategy in a privacy-first world.

  

  Download the ethical marketing guide now to start building stronger, more trusted relationships with your customers through ethical marketing practices.

• A Guide to App Analytics Tools that Drive Growth

  7 mars, par Daniel Crough — App Analytics

  Mobile apps are big business, generating £438 billion in global revenue between in-app purchases (38%) and ad revenue (60%). And with 96% of apps relying on in-app monetisation, the competition is fierce.

  To succeed, app developers and marketers need strong app analytics tools to understand their customers’ experiences and the effectiveness of their development efforts.

  This article discusses app analytics, how it works, the importance and benefits of mobile app analytics tools, key metrics to track, and explores five of the best app analytics tools on the market.

  What are app analytics tools ?

  Mobile app analytics tools are software solutions that provide insights into how users interact with mobile applications. They track user behaviour, engagement and in-app events to reveal what’s working well and what needs improvement.

  Insights gained from mobile app analytics help companies make more informed decisions about app development, marketing campaigns and monetisation strategies.

  What do app analytics tools do ?

  App analytics tools embed a piece of code, called a software development kit (SDK), into an app. These SDKs provide the essential infrastructure for the following functions :

  • Data collection : The SDK collects data within your app and records user actions and events, like screen views, button clicks, and in-app purchases.
  • Data filtering : SDKs often include mechanisms to filter data, ensuring that only relevant information is collected.
  • Data transmission : Once collected and filtered, the SDK securely transmits the data to an analytics server. The SDK provider can host this server (like Firebase or Amplitude), or you can host it on-premise.
  • Data processing and analysis : Servers capture, process and analyse large stores of data and turn it into useful information.
  • Visualisation and reporting : Dashboards, charts and graphs present processed data in a user-friendly format.

  

  Six ways mobile app analytics tools fuel marketing success and drive product growth

  Mobile app analytics tools are vital in driving product development, enhancing user experiences, and achieving business objectives.

  #1. Improving user understanding

  The better a business understands its customers, the more likely it is to succeed. For mobile apps, that means understanding how and why people use them.

  Mobile analytics tools provide detailed insights into user behaviours and preferences regarding apps. This knowledge helps marketing teams create more targeted messaging, detailed customer journey maps and improve user experiences.

  It also helps product teams understand the user experience and make improvements based on those insights.

  For example, ecommerce companies might discover that users in a particular area are more likely to buy certain products. This allows the company to tailor its offers and promotions to target the audience segments most likely to convert.

  #2 Optimising monetisation strategies for increased revenue and user retention

  In-app purchases and advertising make up 38% and 60% of mobile app revenue worldwide, respectively. App analytics tools provide insights companies need to optimise app monetisation by :

  • Analysing purchase patterns to identify popular products and understand pricing sensitivities.
  • Tracking in-app behaviour to identify opportunities for enhancing user engagement.

  App analytics can track key metrics like visit duration, user flow, and engagement patterns. These metrics provide critical information about user experiences and can help identify areas for improvement.

  How meaningful are the impacts ?

  Duolingo, the popular language learning app, reported revenue growth of 45% and an increase in daily active users (DAU) of 65% in its Q4 2023 financial report. The company attributed this success to its in-house app analytics platform.

  

  #3. Understanding user experiences

  Mobile app analytics tools track the performance of user interactions within your app, such as :

  • Screen views : Which screens users visit most frequently
  • User flow : How users navigate through your app
  • Session duration : How long users spend in your app
  • Interaction events : Which buttons, features, and functions users engage with most

  Knowing how users interact with your app can help refine your approach, optimise your efforts, and drive more conversions.

  #4. Personalising user experiences

  A recent McKinsey survey showed that 71% of users expect personalised app experiences. Product managers must stay on top of this since 76% of users get frustrated if they don’t receive the personalisation they expect.

  Personalisation on mobile platforms requires data capture and analysis. Mobile analytics platforms can provide the data to personalise the user onboarding process, deliver targeted messages and recommend relevant content or offers.

  Spotify is a prime example of personalisation done right. A recent case study by Pragmatic Institute attributed the company’s growth to over 500 million active daily users to its ability to capture, analyse and act on :

  • Search behaviour
  • Individual music preferences
  • Playlist data
  • Device usage
  • Geographical location

  The streaming service uses its mobile app analytics software to turn this data into personalised music recommendations for its users. Spotify also has an in-house analytics tool called Spotify Premium Analytics, which helps artists and creators better understand their audience.

  #5. Enhancing app performance

  App analytics tools can help identify performance issues that might be affecting user experience. By monitoring metrics like load time and app performance, developers can pinpoint areas that need improvement.

  Performance optimisation is crucial for user retention. According to Google research, 53% of mobile site visits are abandoned if pages take longer than three seconds to load. While this statistic refers to websites, similar principles apply to apps—users expect fast, responsive experiences.

  Analytics data can help developers prioritise performance improvements by showing which screens or features users interact with most frequently, allowing teams to focus their optimisation efforts where they’ll have the greatest impact.

  #6. Identifying growth opportunities

  App analytics tools can reveal untapped opportunities for growth by highlighting :

  • Features users engage with most
  • Underutilised app sections that might benefit from redesign
  • Common user paths that could be optimised
  • Moments where users tend to drop off

  This intelligence helps product teams make data-informed decisions about future development priorities, feature enhancements, and potential new offerings.

  For example, a streaming service might discover through analytics that users who create playlists have significantly higher retention rates. This insight could lead to development of enhanced playlist functionality to encourage more users to create them, ultimately boosting overall retention.

  Key app metrics to track

  Using mobile analytics tools, you can track dozens of key performance indicators (KPIs) that measure everything from customer engagement to app performance. This section focuses on the most important KPIs for app analytics, classified into three categories :

  • App performance KPIs
  • User engagement KPIs
  • Business impact KPIs

  While the exact metrics to track will vary based on your specific goals, these fundamental KPIs form the foundation of effective app analytics.

  

  App performance KPIs

  App performance metrics tell you whether an app is reliable and operating properly. They help product managers identify and address technical issues that may negatively impact user experiences.

  Some key metrics to assess performance include :

  • Screen load time : How quickly screens load within your app
  • App stability : How often your app crashes or experiences errors
  • Response time : How quickly your app responds to user interactions
  • Network performance : How efficiently your app handles data transfers

  User engagement KPIs

  Engagement KPIs provide insights into how users interact with an app. These metrics help you understand user behaviour and make UX improvements.

  Important engagement metrics include :

  • Returning visitors : A measure of how often users return to an app
  • Visit duration : How long users spend in your app per session
  • User flow : Visualisation of the paths users take through your app, offering insights into navigation patterns
  • Event tracking : Specific interactions users have with app elements
  • Screen views : Which screens are viewed most frequently

  Business impact KPIs

  Business impact KPIs connect app analytics to business outcomes, helping demonstrate the app’s value to the organisation.

  Key business impact metrics include :

  • Conversion events : Completion of desired actions within your app
  • Goal completions : Tracking when users complete specific objectives
  • In-app purchases : Monitoring revenue from within the app
  • Return on investment : Measuring the business value generated relative to development costs

  Privacy and app analytics : A delicate balance

  While app analytics tools can be a rich source of user data, they must be used responsibly. Tracking user in-app behaviour and collecting user data, especially without consent, can raise privacy concerns and erode user trust. It can also violate data privacy laws like the GDPR in Europe or the OCPA, FDBR and TDPSA in the US.

  With that in mind, it’s wise to choose user-tracking tools that prioritise user privacy while still collecting enough data for reliable analysis.

  Matomo is a privacy-focused web and app analytics solution that allows you to collect and analyse user data while respecting user privacy and following data protection rules like GDPR.

  The five best app analytics tools to prove marketing value

  In this section, we’ll review the five best app analytics tools based on their features, pricing and suitability for different use cases.

  Matomo — Best for privacy-compliant app analytics

  Matomo app analytics is a powerful, open-source platform that prioritises data privacy and compliance.

  

  It offers a suite of features for tracking user engagement and conversions across websites, mobile apps and intranets.

  Key features

  • Complete data ownership : Full control over your analytics data with no third-party access
  • User flow analysis : Track user journeys across different screens in your app
  • Custom event tracking : Monitor specific user interactions with customisable events
  • Ecommerce tracking : Measure purchases and product interactions
  • Goal conversion monitoring : Track completion of important user actions
  • Unified analytics : View web and app analytics in one platform for a complete digital picture

  Benefits

  • Eliminate compliance risks without sacrificing insights
  • Get accurate data with no sampling or data manipulation
  • Choose between self-hosting or cloud deployment
  • Deploy one analytics solution across your digital properties (web and app) for a single source of truth

  Pricing

  Plan	Price
  Cloud	Starts at £19/month
  On-Premise	Free

  Matomo is a smart choice for businesses that value data privacy and want complete control over their analytics data. It’s particularly well-suited for organisations in highly regulated industries, like banking.

  While Matomo’s app analytics features focus on core analytics capabilities, its privacy-first approach offers unique advantages. For organisations already using Matomo for web analytics, extending to mobile creates a unified analytics ecosystem with consistent privacy standards across all digital touchpoints, giving organisations a complete picture of the customer journey.

  Firebase — Best for Google services integration

  Firebase is the mobile app version of Google Analytics. It’s the most popular app analytics tool on the market, with over 99% of Android apps and 77% of iOS apps using Firebase.

  

  Firebase is popular because it works well with other Google services. It also has many features, like crash reporting, A/B testing and user segmentation.

  Pricing

  Plan	Price
  Spark	Free
  Blaze	Pay-as-you-go based on usage
  Custom	Bespoke pricing for high-volume enterprise users

  Adobe Analytics — Best for enterprise app analytics

  Adobe Analytics is an enterprise-grade analytics solution that provides valuable insights into user behaviour and app performance.

  

  It’s part of the Adobe Marketing Cloud and integrates easily with other Adobe products. Adobe Analytics is particularly well-suited for large organisations with complex analytics needs.

  Pricing

  Plan	Price
  Select	Pricing on quote
  Prime	Pricing on quote
  Ultimate	Pricing on quote

  While you must request a quote for pricing, Scandiweb puts Adobe Analytics at £2,000/mo–£2,500/mo for most companies, making it an expensive option.

  Apple App Analytics — Best for iOS app analysis

  Apple App Analytics is a free, built-in analytics tool for iOS app developers.

  

  This analytics platform provides basic insights into user engagement, app performance and marketing campaigns. It has fewer features than other tools on this list, but it’s a good place for iOS developers who want to learn how their apps work.

  Pricing

  Apple Analytics is free.

  Amplitude — Best for product analytics

  Amplitude is a product analytics platform that helps businesses understand user behaviour and build better products.

  

  It excels at tracking user journeys, identifying user segments and measuring the impact of product changes. Amplitude is a good choice for product managers and data analysts who want to make informed decisions about product development.

  Pricing

  Plan	Price
  Starter	Free
  Plus	From £49/mo
  Growth	Pricing on quote

  Choose Matomo’s app analytics to unlock growth

  App analytics tools help marketers and product development teams understand user experiences, improve app performance and enhance products. Some of the best app analytics tools available for 2025 include Matomo, Firebase and Amplitude.

  However, as you evaluate your options, consider taking a privacy-first approach to app data collection and analysis, especially if you’re in a highly regulated industry like banking or fintech. Matomo Analytics offers a powerful and ethical solution that allows you to gain valuable insights while respecting user privacy.

  Ready to take control of your app analytics ? Start your 21-day free trial.