ATT and cookie deprecation signifies more than just a technological shift - it's a game-changer for marketers who are looking to reach engaged consumers where they are spending the most time. So how can marketers adapt their mobile advertising strategy and continue to ensure they reach their consumers where they are?In short, as the mobile advertising landscape changes, so should the way advertisers run digital campaigns. Let's break down how advertisers adapt their mobile strategy accordingly (spoiler: all signs point to in-app advertising where more than half of users are still addressable.)Brief history of privacy changes on mobileTraditionally, to advertise on web browsers or apps, marketers have utilized cookies and mobile ad IDs (MAIDs). That means marketers utilize unique user identifiers for tracking, retargeting, frequency capping, audience segmentation, and attribution. But following privacy changes over time, addressability has become significantly more challenging.September 2017: Apple released ITP 1.0 to limit the use of cookies on Safari and prevent cross-site tracking.May 2018: The GDPR became applicable in the EU.January 2020: CCPA gave California residents rights over their personal information.April 2021: Apple introduced App Tracking Transparency (ATT) on iOS.2024: Chrome plans to disable third-party cookies for all of their users. They’ve already started with 1% of their global users, and plan to expand to 100% of users by Q3. You know the history. Now, here are some tips for tailoring your mobile strategy to maximize your impact with both addressable users, users who have a unique identifier, and non-addressable users, users who do not have a unique identifier.Addressability strategy of advertisers in the industryHere are some commonly used practices that marketers use to get ahead of their competitors before the last cookie falls.Embrace first party data: Without third-party cookies, first-party data has a key role to play. Marketers invest extensive resources in building user trust, encouraging opt-ins, and building a robust data infrastructure.Collaborate with industry players to explore alternative ID solutions: Some marketers explore alternative methods to cookies and consider testing with partners like The Trade Desk or Liveramp, who offer other ID solutions to address these cookie-based challenges.Optimize in-app advertising: Mobile users only spend 10% of their time on web, so 90% of mobile time is spent in-app, particularly social media and gaming apps. The best part: the majority of supply in apps is still addressable. Marketers are optimizing in-app strategy with more personalized ad experiences, retargeting, audience segmentation, and strategic placements to engage users. Getting even more granular, let’s discuss how marketers can better understand non-addressable users.How advertisers segment non-addressable usersNon-addressable users are still very valuable - marketers are getting more innovative with how they market to them. While marketers may not be able to get specific-user level information, some contextual data is still available:Contextual information: The type of content users are engaging with (e.g. what they are reading, mobile games they are playing, how long they’re engaging with this content, how the app is rated, etc.) Contextual demographic information: General demographic information can be inferred based on the content users are engaging withTechnical device information: Device type, model, OS, connectivityGeographic location: Country, city, time of dayBy adapting to this constantly-evolving advertising landscape, you can continue to make sure you’re in the best position for growth - just make sure you’re using the right approach. And with users spending 5 hours a day on their mobile devices and 90% of that time happening in-app according to data.ai - building a comprehensive mobile strategy is crucial to long term brand success.That’s why it’s also essential to have the right partners - and at Unity, we can help connect you with premium demand sources, offer full data transparency, and much more.Get started with Unity’s programmatic solutions and get ahead of the game.

In Brief Posted: 10:46 AM PDT · May 1, 2025 Image Credits:Jonathan Raa/NurPhoto / Getty Images Nvidia takes aim at Anthropic’s support of chip export controls Nvidia clearly doesn’t agree with Anthropic’s support for export controls on U.S.-made AI chips. On Wednesday, Anthropic doubled down on its support for the U.S. Department of Commerce’s “Framework for Artificial Intelligence Diffusion,” which would impose sweeping AI chip export restrictions starting May 15. The next day, Nvidia responded with a very different take on the upcoming controls. “American firms should focus on innovation and rise to the challenge, rather than tell tall tales that large, heavy, and sensitive electronics are somehow smuggled in ‘baby bumps’ or ‘alongside live lobsters,’” a spokesperson for Nvidia told CNBC, in reference to Anthropic’s claims of how these AI chips are being smuggled into countries targeted by the U.S. controls, like China. Export restrictions would hurt Nvidia’s global revenue stream. Nvidia recently stated that a new licensing requirement for its H20 AI chips to be sold in China could cost the company $5.5 billion in Q1 of its 2026 fiscal year. TechCrunch reached out to Nvidia for comment. Topics

Gamefam is launching Karate Kid Training Simulator, a title that will immerse players in the world of the upcoming film Karate Kid: Legends, on Roblox.Read More

The release demonstrates that with carefully curated data and training techniques, small models can deliver strong reasoning performance.Read More

Microsoft has been instructing engineers working on its AI infrastructure to get ready to host Elon Musk’s Grok AI model, according to a trusted source familiar with the plans. In recent weeks Microsoft has been in discussions with xAI to host the Grok AI model and make it available to customers and Microsoft’s own product teams through the Azure cloud service. The move could prove controversial internally and further inflame tensions with Microsoft’s partner OpenAI.I’m told that if the deal proceeds, Grok will be available on Azure AI Foundry, Microsoft’s AI development platform that gives developers access to AI services, tools, and pre-built models in order to build AI applications and agents. This will allow developers to tap into Grok and use it within their apps, and for Microsoft to potentially use the AI model across its own apps and services. Microsoft refused to comment for this story.Microsoft has been steadily growing its Azure AI Foundry business over the past year, and has been quick to embrace models from a variety of AI labs that compete with Microsoft’s partner OpenAI. DeepSeek, the Chinese startup that shook up the world of AI earlier this year, forced Microsoft to move quickly to embrace its supercheap R1 model. The DeepSeek deployment on Azure AI Foundry was unusually fast for Microsoft, as I reported previously in Notepad, with Microsoft CEO Satya Nadella moving with haste to get engineers to test and deploy R1 in a matter of days.I understand Nadella has been pushing for Microsoft to host Grok, as he’s eager for Microsoft to be seen as the hosting provider for any popular or emerging AI models. Microsoft’s Azure AI teams are constantly having to onboard new models or procure hardware that unlocks even more AI capabilities, in Microsoft’s bid to build an AI platform and turn AI agents into a digital workforce. “All of the systems that we’ve built for 50 years need to apply to AI agents,” said Asha Sharma, corporate vice president of Microsoft’s AI platform, in an interview with The Verge last month. “For Azure AI Foundry we’re thinking about how we evolve to become the operating system on the backend of every single agent.”Making Grok available to developers through Azure is part of Microsoft’s goal to become that important infrastructure and platform behind AI models and AI agents, but it doesn’t mean AI labs are turning to Microsoft for their AI model training needs. xAI chief Elon Musk reportedly canceled a potential $10 billion server deal with Oracle last year, and posted on X at the time that xAI would be moving to train its future models “internally” instead of relying on Oracle servers.It’s not clear if Microsoft will secure an exclusive deal on hosting the Grok AI model, or whether competitors like Amazon will also be able to host the model. I understand that Microsoft is looking at only providing capacity to host the Grok model, and not the servers for training future models.Microsoft’s move to host Musk’s Grok AI model could create some tension internally at the company, particularly given his involvement in the controversial Department of Government Efficiency (DOGE) project. Musk has said he will step back from his work at DOGE at some point this month, and an announcement of Grok on Azure may well come at Microsoft’s Build developer conference on May 19th.Beyond DOGE concerns, hosting Grok could also further inflame tensions in Microsoft’s partnership with OpenAI. The ChatGPT maker countersued Musk earlier this month over claims that the Tesla boss is using “bad-faith tactics to slow down OpenAI.” Elon Musk and OpenAI have been in a rather public spat, stemming from Musk’s messy breakup with the AI lab he helped to co-found.At the same time, there have been multiple reports of tensions between Microsoft and OpenAI over capacity requirements and access to AI models. Just this week, The Wall Street Journal reported that Nadella and OpenAI CEO Sam Altman are “drifting apart,” and that Nadella’s hiring of Mustafa Suleyman last year was an “insurance policy against Altman and OpenAI.”Suleyman and his Microsoft AI team have reportedly been working on building AI models that can compete directly with OpenAI, but without much success. That’s led to Microsoft continuing to rely on OpenAI for most of its AI features in Office and Copilot. I understand Microsoft had also been anticipating OpenAI’s GPT-5 model this month, but OpenAI’s schedule has been all over the place in recent weeks with delays to new model announcements and capacity issues after the success of its upgraded image generation. It’s now unlikely that GPT-5 will appear this month, I’m told.Hosting Grok on Azure is another clear sign that Microsoft is willing to look elsewhere for AI models. Microsoft-owned GitHub Copilot already supports models from Anthropic and Google, in addition to OpenAI. So, it’s not inconceivable that one day the main Copilot will also let you pick from a variety of competing AI models, especially if it helps further Microsoft’s ambition to become the number one destination for AI developers and users.The pad:Microsoft launches Recall and AI-powered Windows search for Copilot Plus PCs. Microsoft has finally launched Recall, after nearly a year of delays. The feature, which screenshots almost everything you do on a Copilot Plus PC, is now available alongside an improved AI-powered Windows search interface and a new Click to Do feature that’s very similar to Google’s Circle to Search. I spent a few weeks testing Recall last year and found it was creepy, clever, and compelling.Microsoft is raising prices on Xbox consoles, controllers, and games worldwide. Starting today, the price of an Xbox Series S / X console is going up, as well as controllers. The Xbox Series S (512GB) model is moving from $299.99 to $379.99, a price hike of $80. The Xbox Series X (1TB) is increasing to $599.99, up $100 from the existing $499.99 pricing. Microsoft is even warning that some first-party Xbox games will increase from $69.99 to $79.99 later this year, but Xbox Game Pass pricing is remaining the same, for now.Windows 11’s voice typing will soon let you turn off the ****ing profanity filter. Microsoft is changing how the profanity filter for voice typing works on Windows 11. Soon you’ll be able to disable the filter and let all your nasty swear words be free like nature intended. Windows Insiders can access a new toggle to disable the profanity filter in Dev and Beta Channel builds, which suggests it’ll be available to all Windows 11 users in the coming months.Up to 30 percent of some Microsoft code is now written by AI. Nadella appeared on stage at Meta’s LlamaCon this week to discuss the company’s use of AI models with Meta CEO Mark Zuckerberg. “I’d say maybe 20 to 30 percent of the code that is inside of our repos today in some of our projects are probably all written by software,” revealed Nadella. It’s not clear how Microsoft is measuring this or how much code is involved, but it’s similar to a claim Google CEO Sundar Pichai made last year.Microsoft reports strong cloud growth in Q3 earnings. It’s another strong quarter for Microsoft on the back of larger than expected cloud growth. Overall Microsoft Cloud revenue reached $42.4 billion, up 20 percent year over year. Microsoft also offered some brief insights into the tariff situation, noting that its own Windows OEM revenue growth was partly down to “inventory levels remaining elevated due to tariff uncertainty.” Gaming revenue was up, as well as Xbox content and services, but Xbox hardware revenue was down again (albeit not as badly as previous quarters).The Maps app for Windows is disappearing soon. Microsoft is removing the Maps app from the Microsoft Store in July, and pushing out an update that makes it nonfunctional. The Maps app was first unbundled with the 24H2 release of Windows 11, so it was only a matter of time before Microsoft fully killed it off. Microsoft Edge is getting security connectors for businesses. Microsoft has built a security framework for its Edge browser that will let businesses connect it up to authentication and data loss prevention providers. Microsoft has partnered with Cisco, CrowdStrike, Symantec, RSA, and others to launch connectors for Edge.Microsoft announces new European digital commitments. Microsoft president Brad Smith was in Brussels this week to announce the company’s new European commitments. Chief among them is a commitment to “uphold Europe’s digital resilience even when there is geopolitical volatility.” That’s a clear reference to the Trump administration, and Microsoft is willing to go to court over it. “In the unlikely event we are ever ordered by any government anywhere in the world to suspend or cease cloud operations in Europe, we are committing that Microsoft will promptly and vigorously contest such a measure using all legal avenues available, including by pursuing litigation in court,” says Smith.Towerborne arrives on Xbox. PC players have been enjoying early access to Towerborne on Steam for months now, and this week Xbox players now get to try out the looter brawler in Xbox Game Preview. Stoic has been developing the game in a partnership with Xbox Game Studios, and a full free-to-play launch will come after feedback has helped shape the game to a 1.0 release.Microsoft’s big AI hire can’t match OpenAI. Microsoft’s big push to make Copilot more friendly to consumers hasn’t had much success, apparently. Newcomer reports that Copilot has been stuck on 20 million weekly users over the past year. This has reportedly put pressure on Microsoft AI CEO Mustafa Suleyman, who joined the company last year, to turn things around. Microsoft AI is also reportedly developing its own AI models to reduce the reliance on OpenAI, but training runs haven’t gone well.I’m always keen to hear from readers, so please drop a comment here, or you can reach me at notepad@theverge.com if you want to discuss anything else. If you’ve heard about any of Microsoft’s secret projects, you can reach me via email at notepad@theverge.com or speak to me confidentially on the Signal messaging app, where I’m tomwarren.01. I’m also tomwarren on Telegram, if you’d prefer to chat there.Thanks for subscribing to Notepad.See More:

What Is Product Analytics and Why It Matters Product Analytics is the process of tracking, analyzing, and interpreting how existing and prospect customers engage with your product. It reveals behavioral patterns, pinpoints friction in the customer journey, and uncovers what truly drives adoption, retention, and conversion. At its core, product analytics provide actionable insights to help the business understand not just who their customers are, what they are doing, but also why they’re doing it, and how to best approach them. In today’s fast-moving digital transformation, where expectations are high and attention is scarce, product analytics is foundational for both SMB and Enterprise. It helps teams design more intuitive experiences, prioritize the right features, and identify gaps that might otherwise be missed. For business leaders, product analytics isn’t just about tracking KPIs or building dashboards. It provides a strategic lens, one that can align product development with key business outcomes. It shifts decision-making from assumptions to evidence, offering clarity on where to invest, what to fix, and how to grow. Whether you’re optimizing pricing, exploring new segments, or refining the onboarding flow, product analytics ensures the optimal choices are grounded in reality. Photo by Weiwei Hu from The Next Step Understanding Product-Market Fit (PMF) Product-Market Fit (PMF) is the foundation of sustainable growth and long-term business viability. PMF is achieved when the product reliably solves a meaningful problem for a well-defined customer segment, to the extent that customers not only adopt it, but also keep coming back, recommend it to others, and consider it indispensable. Today, product analytics enables a structured, data-driven approach to evaluating PMF. Those key indicators include: Cohort Retention Trends: One of the clearest signals of PMF is the shape of your retention curve. When retention stabilizes, meaning a cohort of users continues to return and engage over time, it’s a strong indicator that those users are finding ongoing value. In contrast, steep drop-offs or “cliff” curves suggest the product isn’t yet delivering a must-have experience. PMF Survey: A frequently used qualitative signal of PMF involves asking users: “How would you feel if you could no longer use this product?” If, let’s say >= 40% respond “very disappointed,” research suggests that the business has reached a critical mass of highly satisfied users. This threshold helps quantify emotional attachment, an indication of strong product-market fit. Other Behavioral and Sentiment-Based Signals: Organic growth (users finding the product without paid acquisition) High engagement and feature usage from core users Referrals or word-of-mouth growth Strong Net Promoter Score (NPS), indicating customer satisfaction and advocacy None of these signals can work in isolation, but put together, they form a comprehensive view of whether the product is truly resonating with its customers. These metrics matter because scaling a premature product without PMF can be costly and unsustainable. Analytics and insights provide the clarity needed for the business to assess product readiness, not just whether people are signing up, but whether they’re staying, engaging deeply, and seeing enough value to advocate for the product. When these signals align, it’s a green light to scale. When they don’t, they point to what needs to be improved before investing in growth. Photo by Weiwei Hu from The Next Step Segmentation, Targeting and Positioning The STP framework (Segmentation, Targeting, and Positioning) helps the business focus their efforts on the right users, deliver the right value, and message it in the right way at the right time. When powered by product analytics, it becomes a highly actionable approach for aligning product development, marketing, and growth strategy. 1. Segmentation: Find Patterns That Matter Segmentation involves breaking down your existing and prospect customer base into meaningful groups based on shared characteristics, behaviors, or usage patterns. Instead of relying on averages that can mask important differences, segmentation allows teams to uncover actionable insights, such as: Which customers adopt new features fastest? Who tends to churn early in their journey? Which segment deliver the highest lifetime value? By slicing your data along dimensions like usage frequency, onboarding behavior, company size, user role, or product tier, you surface patterns that would otherwise remain hidden. This clarity helps teams design more targeted experiences, prioritize features that resonate with specific groups, and identify friction points unique to certain users. Ultimately, smart segmentation reveals not just how your product is used, but who it works best for. 2. Targeting: Focus on Where It Counts Once segments are defined, targeting is about deciding which ones to prioritize and focus on. The decision can be based on a combination of strategic alignment and performance metrics, including: Depth of customer engagement Retention and loyalty over time Conversion or expansion potential Alignment with business goals (e.g., moving upmarket or tapping into a new vertical) Product analytics brings clarity to this decision-making. If, for example, Segment A churns 2X as fast as Segment B, or Segment C consistently drives higher revenue per user, the path forward becomes more obvious. Effective targeting ensures the product, marketing, and GTM efforts are focused on the users who matter most, maximizing business impact, not just reach. 3. Positioning: Tailor the Story and Experience Positioning is about shaping how your product is perceived and ensuring that perception resonates with the users you care most about. It influences: The messaging used to attract and convert existing and prospect customers The features and benefits highlighted for them The onboarding flows and support tailored for different customers Product analytics empowers optimized positioning by revealing what specific segments truly value. One group might respond to speed and simplicity, while another prioritizes customization or data insights. With this understanding, the business can craft messages that speak directly to customer needs, adjust the product experience accordingly, and personalize guidance or nudges to drive adoption. By applying the STP framework through a product analytics lens, teams move beyond one-size-fits-all thinking. Instead of designing for an average user, you design for the segments that matter, especially those that retain, grow, and advocate. The result? Clearer messaging, stronger product-market alignment, and more efficient growth. Photo by Weiwei Hu from The Next Step Data-Driven Decisions on Product, Price, Place, Promotion The 4Ps framework (Product, Price, Place, and Promotion) offers a comprehensive way to bring a product to market and scale it successfully. When paired with product analytics, each “P” becomes a data-informed decision point that helps you align your offering with user behavior, market conditions, and business goals. 1. Product: Optimize Based on Real Usage Product analytics reveals which features customers value most, where they struggle, and how they engage across the lifecycle. It enables teams to: Prioritize high-impact features by usage frequency and customer satisfaction Identify friction points or drop-offs in user flows A/B test changes and measure downstream impact on retention or engagement By anchoring product decisions in real customer behavior instead of assumptions, teams will be able iterate more confidently and build experiences that can really resonate well with your customers. 2. Price: Align Value Perception with Willingness to Pay Pricing is not just a business decision, it’s rather a product experience. For example, if customers routinely hit the limits of a free plan, but don’t upgrade, analytics can leverage this information to better understand whether it’s due to pricing, onboarding gaps, or unclear value delivery. So effective pricing analytics helps the business: Understand how customers behave across different pricing tiers or plans Spot potential churn risks tied to value gaps or paywalls Test new models (e.g., freemium, usage-based) and track conversion lift or drop-off 3. Place: Reach Users Where They Are Place refers to how and where the product is accessed and distributed across platforms, devices, geographies, and/or sales channels. Here, product and marketing analytics can work together to: Surface the most effective channels for acquisition and engagement Uncover underserved geographies or customer types Guide investment in platform-specific optimization If, let’s say, most usage is coming from mobile devices, but your onboarding flow is optimized only for desktops, product analytics can help identify these inefficiency and help the teams correct that mismatch quickly. 4. Promotion: Optimize for Quality, Not Just Volume Promotion is about acquiring the right users who convert, engage, and stay. It creates a virtuous loop between marketing and product: promotions that drive quality traffic inform better product decisions, and vice versa. Product analytics helps the business: Measure true ROI by evaluating engagement and monetization downstream Link acquisition sources (ads, referrals, content) to post-signup behavior Identify which campaigns bring users who activate quickly and retain over time When each of the 4Ps (Product, Price, Place, and Promotion) is guided by real customer and user data, the product and marketing strategy becomes sharper, faster, and more aligned with how people actually use and experience the product. Rather than relying on hypothesis or experience, the business is making real data-driven decisions that can reduce waste, improve tangible outcomes, and create stronger product-market alignment across the board. Photo by Weiwei Hu from The Next Step Core Metrics for Product Health There are 5 foundational metrics that provide a balanced view of product health and strategic progress. When monitored effectively together, they tell a powerful story about customer experience, value delivery, and business impact: Retention Rate: Measures how well you’re keeping users over time. Strong retention indicates recurring value and is fundamental for sustainable growth. Engagement: Tracks frequency, depth and quality of usage. Engaged customers don’t just return, they also explore, contribute, and stick around. High engagement typically correlates with satisfaction and long-term customer value. Net Promoter Score (NPS): Gauges customer satisfaction and likelihood to recommend the product to others. It’s a simple but powerful indicator of customer sentiment, loyalty, and organic growth potential. Activation Rate: Captures how effectively new users experience the product’s core value. High activation means users are seeing early success, a key indicator for retention and eventual conversion. Conversion Rate: Measures how well users move through key funnel steps, whether it’s signing up, upgrading, or making a purchase. It’s a direct indicator of how well your product turns interest into business value, hence a critical metric for revenue growth and profit optimization. These metrics don’t live in silos. Their real value comes from how they connect. For example, activation can improve retention, engagement can influence conversion, etc. All together, they provide a complete picture of product performance: High activation fuels better retention Strong engagement boosts conversion High NPS often aligns with referral-driven growth Retention + conversion together increase customer lifetime value (LTV) On the other hand, tracking these metrics in silos can lead to false positives. For example, high sign-up conversion might seem great until you notice retention drops off within days. The real insights come from understanding how these metrics move together and reflect the full user lifecycle. By embedding these metrics into regular reviews, strategic decisions become clearer and more customer-centered. Whether you’re optimizing onboarding, refining pricing, or evaluating new feature bets, these core product health metrics will ensure your teams are focused on what truly matters for both customer success and business growth. Photo by Weiwei Hu from The Next Step Aligning Product Analytics with Business Goals and Market Trends Product analytics becomes truly strategic when it’s not just an after-the-fact dashboard or a lengthy report, but a core part of how the business sets the direction, prioritize resources, and adapt to changes. To maximize its value, analytics should be embedded in both internal planning cycles and external market awareness. Here’s how: 1. Link Metrics to Strategic Business Goals Analytics should ladder up to what your business is actually trying to achieve, whether that’s increasing customer lifetime value, improving retention, growing revenue, or expanding into new segments. For every business objective, identify the product metric(s) that best signal progress. For example, if your goal is expansion revenue, track upsell conversion rates and feature adoption tied to higher-tier plans. Make these connections explicit in OKRs, dashboards, and planning docs. When teams know how their work moves the needle, they stay focused, aligned, and motivated. Metrics become meaningful, not just mechanical. 2. Use Data for Decisions, Not Just for Reporting Many teams collect data but fail to act on it. The shift from passive reporting to active decision-making is what separates data-aware organizations from data-driven ones. Use analytics to inform roadmap prioritization, pricing experiments, and GTM timing. Bake data reviews into product planning rituals, not just quarterly reviews, but sprint planning, launch pre-mortems, etc. Encourage hypothesis-driven analysis, i.e., We believe doing X will improve metric Y by Z%, then test and validate. Data should not be retrospective. It should actively shape what the teams should do next. Build a culture where curiosity and iteration are standard. 3. Pair Quantitative Data with Qualitative Insights Behavioral data tells you what customers do, but not why. Without context, the business may risk misreading their signals or optimizing for the wrong things. For example, are customers churning because of a steep learning curve, or are they switching to competitors with better pricing? Supplement metrics with qualitative inputs, such as NPS comments, survey responses, support tickets, customer interviews, etc. Then, create composite insight reports that mix data and VOC quotes for a complete view. Remember: Data without empathy can lead to flawed assumptions. Combining both sharpens business decision-making and builds stronger products. 4. Track Market Trends and Industry Benchmarks Product analytics should not exist in a vacuum. Understanding how different metrics compare to external standards gives teams critical context for performance evaluation. For example, use industry benchmarks to calibrate expectations (e.g., 30-day retention for B2B SaaS vs. consumer mobile). Watch competitive market shifts: Are new entrants changing user expectations? Is there an industry-wide move toward self-service or mobile-first? Adapt your metric focus as market trends shift. For example, as privacy becomes more important, customer trust and data opt-in rates may become key metrics. Business success is relative to grow, you need to outperform, not just improve. Market context helps the business prioritize the right metrics. 5. Institutionalize Data-Driven Culture and Communication To scale impact, product analytics must become a shared language across teams, not something owned only by data or product teams. Establish regular, cross-functional metric reviews involving product, marketing, growth, customer success, and leadership. Include product health metrics alongside financials in executive reviews. Celebrate wins where metrics improved due to specific initiatives, reinforcing learning and motivation. Provide accessible dashboards with clear explanations, so even non-technical stakeholders can engage with the data. Data fluency across the organization leads to better decisions, faster alignment, and a culture where insight drives action. When product analytics is tightly aligned with business goals and market context, it evolves from a tactical tool to a strategic advantage. It becomes: A source of truth that keeps your strategy grounded in real customer behavior A feedback loop that helps the business adapt to what’s working versus not working A shared compass that unites teams across multiple functions Product analytics is not a data or reporting layer. It’s a strategic decision-making engine. It clarifies direction, sharpens priorities, and uncovers opportunities that might otherwise remain hidden. When approached with intent and discipline, it enables teams to build products that deliver lasting value to both customers and the business. Therefore, in order to make product analytics truly strategic, the business will need to: Track the right metrics that reflect product health, user value, and business impact. Adopt analytics frameworks like PMF, STP, and 4Ps that turn data into insights that matter for the business. Align data to business objectives, so every insight feeds into outcomes that matter. Foster a culture of data-informed action where insights are not just reviewed, but debated, applied, and measured For me, the best strategies don’t rely solely on intuition, experience, or on data in isolation. They thrive at the intersection of evidence and judgment, where analytics informs decisions, and leadership steers with vision. When product analytics is embedded into how business teams think, plan, and act, your product doesn’t just grow, it also adapts, resonates, and leads. That’s how real progress happens. Author’s Note: Product analytics is more than dashboards and reports. It’s a way to stay grounded in what truly matters for the business. I explore how to connect metrics with business goals, and use data to inform smarter decisions across product, strategy, and growth. Whether you lead a product team or are simply curious about how analytics fits into the bigger picture, it’s a practical guide on using data with purpose. This article was originally published on The Next Step, where I share reflections on leadership, personal growth, and building what’s next. Feel free to subscribe for more insights! The post Turning Product Data into Strategic Decisions appeared first on Towards Data Science.

Was Tesla's board looking to replace Elon Musk as CEO?A surprising new report from The Wall Street Journal claims Tesla's board sought to replace Elon Musk with a new CEO. However, since the report was published, Musk has denied the accuracy of the WSJ's reporting.In a late-night post on X, Musk wrote, "It is an EXTREMELY BAD BREACH OF ETHICS that the @WSJ would publish a DELIBERATELY FALSE ARTICLE and fail to include an unequivocal denial beforehand by the Tesla board of directors!" Musk also shared an official statement from Tesla chair Robyn Denholm, which called the report "absolutely false."According to the report, some Tesla board members were "irritated" with Musk's lack of focus on Tesla. Musk famously stepped away from running his EV car company to take on a new gig with the Trump administration as a special government employee. Musk has been closely involved with a controversial government cost-cutting effort known as DOGE. The WSJ reports this prompted the Tesla board members to contact executive search firms to start the process of finding a new CEO for Tesla. Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! The WSJ reports that the Tesla board members were close to working with one major executive search firm. In addition to a new CEO, Tesla's board was reportedly searching for an independent director to add to the company as well. In March, a long-time Tesla investor urged Musk to either return to the company or resign as CEO. And after a dismal earnings report in April, Musk said he would step away from DOGE and devote "far more" time to Tesla."Earlier today, there was a media report erroneously claiming that the Tesla Board had contacted recruitment firms to initiate a CEO search at the company," Denholm's statement reads. "This is absolutely false (and this was communicated to the media before the report was published). The CEO of Tesla is Elon Musk and the Board is highly confident in his ability to continue executing on the exciting growth plan ahead." Related Stories Tesla has been struggling in recent months, ever since Musk started working with President Donald Trump and DOGE. Musk's EV car company reported a 71 percent drop in profit for the most recent quarter. Tesla attributed much of this to boycotts and protests against Tesla, Musk, and DOGE. Tesla sales have fallen around the world as a result. Many Tesla owners have also been looking to get rid of their EVs due to the company's ties with Musk.

Need a real-world example of how Trump's tariffs are hitting the electronics industry? Wyze says it paid $255,000 with import fees to ship just $167,000 worth of product.On Wednesday, Wyze posted a screenshot of a shipment receipt. "Just got our first tariff bill. We imported $167k of floodlights and then paid $255k in tariffs. That’s more than any of our founders were paid last year,” the Seattle-based company tweeted. Although Wyze didn't break down how the import fee was calculated, $255,000 suggests the company is paying Trump’s 145% tariffs on Chinese imports. Last month, Trump imposed an extra 125% tariff on Chinese imports on top of 20% fees announced earlier this year.To avoid these hefty tariffs in the future, Wyze says it's "been working on moving manufacturing out of China for over a year now, but those efforts have been…accelerated. We’ll probably be out in 60 days.” This includes migrating its factories to Vietnam and Malaysia, where Trump’s "reciprocal tariffs" have been paused for 90 days.Wyze’s tweets have drawn backlash from some users who fault the company for not sourcing its products from US factories. “Tariffs are clearly working. Your first mistake was manufacturing in China,” said one X user. Others indicate they plan on boycotting Wyze products. Recommended by Our EditorsWyze was not having it, telling critics it relies on suppliers in Asia, “mostly because it's way less expensive to do so and allows us to sell for lower prices. Also, I hope you don't use an iphone, use a computer, wear Nikes, or buy Legos cause if you do I have bad news for you..."Wyze adds that it was forced to import the Chinese-assembled floodlights and pay the $255,000 import fees due to a prior commitment with a retailer."We fully committed this inventory to a retailer in February, and it has to get to them in May for a promo they are running in June. I’m sure they will be totally fine when we call and tell them it won’t get there until 2028 and it now costs $529 because we didn’t dabble in idiocy," it tweeted.Wyze has suspended shipments to the US on other shipments to avoid high tariffs. But in the long term, the company might need to raise prices. “We're going to wait to see what happens in the next few weeks,” the vendor told one user who asked about potential price hikes.

Posted on : May 1, 2025 By Tech World Times General  Rate this post Life is full of ups and downs. Sometimes, the pain feels too heavy to bear. Words can help express what the heart feels. That’s why deep pain quotes matter so much. These quotes speak for your heart. They put your silent feelings into words. They let you know you’re not alone. In this article, we’ve listed 50 Deep Pain Quotes. These quotes can bring comfort, clarity, and healing. Read them slowly. Feel each one. Let the words reach your soul. Why Deep Pain Quotes Matter When we feel deep pain, it’s hard to speak. We struggle to explain our feelings. That’s where deep pain quotes help. They say what we cannot say. They help others understand our emotions. They also help us understand ourselves. 50 Deep Pain Quotes That Speak to the Soul “Tears come from the heart, not the brain.” – Leonardo da Vinci “Sometimes, the strongest people are the ones who cry alone.” “Pain changes people. It makes them quiet.” “Behind every smile, there is a silent cry.” “The pain never really goes away. You just learn to live with it.” “Deep pain hides behind fake smiles.” “Broken hearts speak the loudest in silence.” “Healing takes time, and that’s okay.” “You never truly know how strong you are until pain is all you have.” “The soul always knows how to heal. The challenge is silencing the mind.” “Sometimes the hardest part isn’t letting go but learning to start over.” “Scars remind us where we’ve been, not where we are going.” “Not all wounds are visible.” “Pain is real. But so is hope.” “It hurts because it mattered.” “My silence is just another word for pain.” “The worst kind of pain is when you’re smiling just to stop the tears.” “When it hurts, observe. Life is trying to teach you something.” “Some people never understand how hard you try to hide the pain.” “No one sees your tears when you cry at night.” “Pain makes you grow, but it also breaks something inside.” “I’m fine is the biggest lie of all.” “Sometimes the pain is so loud, it drowns every other sound.” “I wish I could go back to the time before I knew pain.” “There’s beauty in the broken if you learn to see it.” “A heart that hurts is a heart that cares.” “Loneliness is not the absence of people, but the absence of understanding.” “It’s okay to not be okay all the time.” “Pain reminds you that you’re still alive.” “Some memories hurt more than any wound ever could.” “Don’t mistake my silence for peace. I’m still breaking inside.” “Some nights, I drown in thoughts I can’t escape.” “Words can lie, but pain never does.” “I smile so no one sees my pain.” “Every broken heart has a story that hurts.” “I miss the person I was before the pain.” “There’s a war inside me that nobody sees.” “Pain can shape you, but it should not define you.” “Sometimes, crying is the only way your eyes speak.” “Even in pain, there’s power.” “Not all pain is visible. Some pain lives in the soul.” “Some days, I just exist. That’s all I can do.” “People don’t fake depression, they fake being okay.” “True pain is when you have so much to say, but can’t speak.” “I’m tired of being strong for everyone else.” “Even shadows hide from a hurting soul.” “Pain teaches you who you are.” “I’m healing, but it still hurts.” “You can’t run from pain forever.” “Deep pain changes everything—your heart, your soul, your world.” How to Use These Deep Pain Quotes Use these quotes to heal. Write them in your journal. Share them with friends who feel lost. Post them on social media to raise awareness. These quotes can open hard conversations. When to Read Deep Pain Quotes You can read them when feeling sad. You can read them after heartbreak. You can read them when you feel alone. They can even help you sleep at night. These quotes are more than words. They are reminders of your strength. They show you that pain can be shared. And sharing brings healing. Final Thoughts Deep Pain Quotes touch the heart. They give a voice to your silent hurt. They show that others have felt the same pain. And that gives you strength. Pain is a part of life. But it doesn’t define your whole story. Let these quotes remind you that you’re not alone. If you are in pain, reach out. Talk to someone. You are not weak for feeling pain. You are strong for survive it. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

AOC is typically considered a budget brand, or at least a solid step down from big players like Samsung and Dell. But even smaller companies are jumping into the OLED gaming monitor market because it’s so hot right now! Combine an in-demand segment with a budget brand and you get a solid deal—like this 27-inch OLED gaming monitor for $479.99. The AOC Agon Pro AG276QZD2 is a pretty typical gaming monitor with what I’m assuming is the same 1440p 240Hz panel we’ve seen on a lot of other 27-inch offerings. But that doesn’t make it any less worthy. At that speed and with a 0.03-millisecond response time plus compatibility with Nvidia G-Sync, it’s a great choice if you play fast-paced multiplayer games. And of course the perfect blacks and vivid colors of OLED will make single-player games sparkle, too. It has VESA mount compatibility, so you could use some of the money you save for a monitor arm. This monitor includes two HDMI and two DisplayPort, um, ports, but its other connections are limited to two USB-A ports and a headphone jack. At this price, you can’t really complain about limited options—anything else on the market will run you a couple hundred bucks more. Amazon is listing this as a “limited-time deal,” presumably as part of its Gaming Week sale. That being said, I wouldn’t count on a super-low-priced OLED like this staying in stock for too long. If it’s not to your liking, then check out PCWorld’s picks for the best gaming monitors. Buy now at Amazon