In a world where everything feels mechanical and cold, I find myself yearning for warmth and connection. Just like a seven-segment display, I feel fragmented, pieced together yet missing something vital. The beauty of constructing something intricate out of Lego is overshadowed by the emptiness of solitude. Each servo whirs in the silence, echoing my heart's unspoken words. I see others create, connect, and thrive, while I stand still, a shadow among bright lights. The loneliness wraps around me like a suffocating blanket, reminding me that even in the realm of invention, there’s a void that only genuine companionship can fill. #Loneliness #Heartbreak #MechanicalLife #Connection #EmotionalStruggles

Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage. #ankur #kothari #qampampa #customer #engagement

Oppo K13x 5G will be introduced in the Indian market later this month. The launch date has been announced, and the company has revealed some key specifications of the upcoming smartphone. It will be placed in the sub-Rs. 15,000 segments in the country and is promised to be available in 4GB and 6GB RAM variants. As per the company, the handset is claimed to offer the toughest build in its segment. It is confirmed to come with an IP65 rating, SGS Gold Drop-Resistance, SGS Military Standard, and MIL-STD 810-H durability certifications.Oppo K13x 5G India Launch: All We KnowThe Oppo K13x 5G will launch in India on June 23 at 12pm IST, the company confirmed in a press release. It will be priced in the country under Rs. 15,000, the company added. It will be available exclusively via Flipkart. The phone is confirmed to come in Midnight Violet and Sunset Peach colour options.Oppo revealed that the K13x 5G will be powered by a MediaTek Dimensity 6300 chipset. It will be available in 4GB and 6GB RAM options with support for 128GB of onboard storage. The handset will ship with Android 15-based ColorOS 15. It will support Google Gemini and other productivity features like AI Summary, AI Recorder, and AI Studio.The company has provided the Oppo K13x 5G with a 6,000mAh battery with 45W SuperVOOC charging support, it further revealed in the press release. It will carry a 50-megapixel AI-backed dual rear camera unit. The phone will support AI-backed imaging features like AI Eraser, AI Unblur, AI Reflection Remover, and AI Clarity Enhancer.Previously, Oppo revealed that the upcoming K13x 5G will come with an AM04 high-strength aluminium alloy middle frame and a 360-degree Damage-Proof Armour Body. It is claimed to meet the IP65 rating for dust and water resistance. Alongside the MIL-STD 810-H shock resistance certification, it will also come with SGS Gold Drop-Resistance and SGS Military Standard certifications. The Oppo K13x 5G build makes use of a biomimetic Sponge Shock Absorption System inspired by sea sponges, which is claimed to improve shock resistance. Its display will support Splash Touch and Glove Touch mode as well as Crystal Shield glass protection. #oppo #k13x #india #launch #date

Sabella pavonina, commonly known as the peacock worm, is a species of marine polychaete worm in the family Sabellidae. It can be found along the coasts of western Europe and the Mediterranean Sea, in shallow, tidal waters with a bed of mud, sand or gravel. The worm is 10 to 25 centimetresin length, with its body divided into 100 to 600 small segments. The head has two fans of 8 to 45 feathery radioles arising from fleshy, semi-circular lobes. The body is mostly grey-green while the radioles are brown, red or purple with darker bands. This group of S. pavonina worms was photographed with a short-snouted seahorse in a protected marine natural area near Porto Cesareo, Italy. Photograph credit: Romano Gianluca Recently featured: Magna CartaRaspberry Challenger 2 Archive More featured pictures #wikipedia #picture #day #june

Reading Time: 9 minutes In the ever-evolving landscape of customer engagement, staying ahead of the curve is not just advantageous, it’s essential. That’s why, for Chapter 7 of “The Customer Engagement Book: Adapt or Die,” we sat down with Mirela Cialai, a seasoned expert in CRM and Martech strategies at brands like Equinox. Mirela brings a wealth of knowledge in aligning technology roadmaps with business goals, shifting organizational focuses from acquisition to retention, and leveraging hyper-personalization to drive success. In this interview, Mirela dives deep into building robust customer engagement technology roadmaps. She unveils the “PAPER” framework—Plan, Audit, Prioritize, Execute, Refine—a simple yet effective strategy for marketers. You’ll gain insights into identifying gaps in your Martech stack, ensuring data accuracy, and prioritizing initiatives that deliver the greatest impact and ROI. Whether you’re navigating data silos, striving for cross-functional alignment, or aiming for seamless tech integration, Mirela’s expertise provides practical solutions and actionable takeaways.   Mirela Cialai Q&A Interview 1. How do you define the vision for a customer engagement platform roadmap in alignment with the broader business goals? Can you share any examples of successful visions from your experience? Defining the vision for the roadmap in alignment with the broader business goals involves creating a strategic framework that connects the team’s objectives with the organization’s overarching mission or primary objectives. This could be revenue growth, customer retention, market expansion, or operational efficiency. We then break down these goals into actionable areas where the team can contribute, such as improving engagement, increasing lifetime value, or driving acquisition. We articulate how the team will support business goals by defining the KPIs that link CRM outcomes — the team’s outcomes — to business goals. In a previous role, the CRM team I was leading faced significant challenges due to the lack of attribution capabilities and a reliance on surface-level metrics such as open rates and click-through rates to measure performance. This approach made it difficult to quantify the impact of our efforts on broader business objectives such as revenue growth. Recognizing this gap, I worked on defining a vision for the CRM team to address these shortcomings. Our vision was to drive measurable growth through enhanced data accuracy and improved attribution capabilities, which allowed us to deliver targeted, data-driven, and personalized customer experiences. To bring this vision to life, I developed a roadmap that focused on first improving data accuracy, building our attribution capabilities, and delivering personalization at scale. By aligning the vision with these strategic priorities, we were able to demonstrate the tangible impact of our efforts on the key business goals. 2. What steps did you take to ensure data accuracy? The data team was very diligent in ensuring that our data warehouse had accurate data. So taking that as the source of truth, we started cleaning the data in all the other platforms that were integrated with our data warehouse — our CRM platform, our attribution analytics platform, etc. That’s where we started, looking at all the different integrations and ensuring that the data flows were correct and that we had all the right flows in place. And also validating and cleaning our email database — that helped, having more accurate data. 3. How do you recommend shifting organizational focus from acquisition to retention within a customer engagement strategy? Shifting an organization’s focus from acquisition to retention requires a cultural and strategic shift, emphasizing the immense value that existing customers bring to long-term growth and profitability. I would start by quantifying the value of retention, showcasing how retaining customers is significantly more cost-effective than acquiring new ones. Research consistently shows that increasing retention rates by just 5% can boost profits by at least 25 to 95%. This data helps make a compelling case to stakeholders about the importance of prioritizing retention. Next, I would link retention to core business goals by demonstrating how enhancing customer lifetime value and loyalty can directly drive revenue growth. This involves shifting the organization’s focus to retention-specific metrics such as churn rate, repeat purchase rate, and customer LTV. These metrics provide actionable insights into customer behaviors and highlight the financial impact of retention initiatives, ensuring alignment with the broader company objectives. By framing retention as a driver of sustainable growth, the organization can see it not as a competing priority, but as a complementary strategy to acquisition, ultimately leading to a more balanced and effective customer engagement strategy. 4. What are the key steps in analyzing a brand’s current Martech stack capabilities to identify gaps and opportunities for improvement? Developing a clear understanding of the Martech stack’s current state and ensuring it aligns with a brand’s strategic needs and future goals requires a structured and strategic approach. The process begins with defining what success looks like in terms of technology capabilities such as scalability, integration, automation, and data accessibility, and linking these capabilities directly to the brand’s broader business objectives. I start by doing an inventory of all tools currently in use, including their purpose, owner, and key functionalities, assessing if these tools are being used to their full potential or if there are features that remain unused, and reviewing how well tools integrate with one another and with our core systems, the data warehouse. Also, comparing the capabilities of each tool and results against industry standards and competitor practices and looking for missing functionalities such as personalization, omnichannel orchestration, or advanced analytics, and identifying overlapping tools that could be consolidated to save costs and streamline workflows. Finally, review the costs of the current tools against their impact on business outcomes and identify technologies that could reduce costs, increase efficiency, or deliver higher ROI through enhanced capabilities. Establish a regular review cycle for the Martech stack to ensure it evolves alongside the business and the technological landscape. 5. How do you evaluate whether a company’s tech stack can support innovative customer-focused campaigns, and what red flags should marketers look out for? I recommend taking a structured approach and first ensure there is seamless integration across all tools to support a unified customer view and data sharing across the different channels. Determine if the stack can handle increasing data volumes, larger audiences, and additional channels as the campaigns grow, and check if it supports dynamic content, behavior-based triggers, and advanced segmentation and can process and act on data in real time through emerging technologies like AI/ML predictive analytics to enable marketers to launch responsive and timely campaigns. Most importantly, we need to ensure that the stack offers robust reporting tools that provide actionable insights, allowing teams to track performance and optimize campaigns. Some of the red flags are: data silos where customer data is fragmented across platforms and not easily accessible or integrated, inability to process or respond to customer behavior in real time, a reliance on manual intervention for tasks like segmentation, data extraction, campaign deployment, and poor scalability. If the stack struggles with growing data volumes or expanding to new channels, it won’t support the company’s evolving needs. 6. What role do hyper-personalization and timely communication play in a successful customer engagement strategy? How do you ensure they’re built into the technology roadmap? Hyper-personalization and timely communication are essential components of a successful customer engagement strategy because they create meaningful, relevant, and impactful experiences that deepen the relationship with customers, enhance loyalty, and drive business outcomes. Hyper-personalization leverages data to deliver tailored content that resonates with each individual based on their preferences, behavior, or past interactions, and timely communication ensures these personalized interactions occur at the most relevant moments, which ultimately increases their impact. Customers are more likely to engage with messages that feel relevant and align with their needs, and real-time triggers such as cart abandonment or post-purchase upsells capitalize on moments when customers are most likely to convert. By embedding these capabilities into the roadmap through data integration, AI-driven insights, automation, and continuous optimization, we can deliver impactful, relevant, and timely experiences that foster deeper customer relationships and drive long-term success. 7. What’s your approach to breaking down the customer engagement technology roadmap into manageable phases? How do you prioritize the initiatives? To create a manageable roadmap, we need to divide it into distinct phases, starting with building the foundation by addressing data cleanup, system integrations, and establishing metrics, which lays the groundwork for success. Next, we can focus on early wins and quick impact by launching behavior-based campaigns, automating workflows, and improving personalization to drive immediate value. Then we can move to optimization and expansion, incorporating predictive analytics, cross-channel orchestration, and refined attribution models to enhance our capabilities. Finally, prioritize innovation and scalability, leveraging AI/ML for hyper-personalization, scaling campaigns to new markets, and ensuring the system is equipped for future growth. By starting with foundational projects, delivering quick wins, and building towards scalable innovation, we can drive measurable outcomes while maintaining our agility to adapt to evolving needs. In terms of prioritizing initiatives effectively, I would focus on projects that deliver the greatest impact on business goals, on customer experience and ROI, while we consider feasibility, urgency, and resource availability. In the past, I’ve used frameworks like Impact Effort Matrix to identify the high-impact, low-effort initiatives and ensure that the most critical projects are addressed first. 8. How do you ensure cross-functional alignment around this roadmap? What processes have worked best for you? Ensuring cross-functional alignment requires clear communication, collaborative planning, and shared accountability. We need to establish a shared understanding of the roadmap’s purpose and how it ties to the company’s overall goals by clearly articulating the “why” behind the roadmap and how each team can contribute to its success. To foster buy-in and ensure the roadmap reflects diverse perspectives and needs, we need to involve all stakeholders early on during the roadmap development and clearly outline each team’s role in executing the roadmap to ensure accountability across the different teams. To keep teams informed and aligned, we use meetings such as roadmap kickoff sessions and regular check-ins to share updates, address challenges collaboratively, and celebrate milestones together. 9. If you were to outline a simple framework for marketers to follow when building a customer engagement technology roadmap, what would it look like? A simple framework for marketers to follow when building the roadmap can be summarized in five clear steps: Plan, Audit, Prioritize, Execute, and Refine. In one word: PAPER. Here’s how it breaks down. Plan: We lay the groundwork for the roadmap by defining the CRM strategy and aligning it with the business goals. Audit: We evaluate the current state of our CRM capabilities. We conduct a comprehensive assessment of our tools, our data, the processes, and team workflows to identify any potential gaps. Prioritize: initiatives based on impact, feasibility, and ROI potential. Execute: by implementing the roadmap in manageable phases. Refine: by continuously improving CRM performance and refining the roadmap. So the PAPER framework — Plan, Audit, Prioritize, Execute, and Refine — provides a structured, iterative approach allowing marketers to create a scalable and impactful customer engagement strategy. 10. What are the most common challenges marketers face in creating or executing a customer engagement strategy, and how can they address these effectively? The most critical is when the customer data is siloed across different tools and platforms, making it very difficult to get a unified view of the customer. This limits the ability to deliver personalized and consistent experiences. The solution is to invest in tools that can centralize data from all touchpoints and ensure seamless integration between different platforms to create a single source of truth. Another challenge is the lack of clear metrics and ROI measurement and the inability to connect engagement efforts to tangible business outcomes, making it very hard to justify investment or optimize strategies. The solution for that is to define clear KPIs at the outset and use attribution models to link customer interactions to revenue and other key outcomes. Overcoming internal silos is another challenge where there is misalignment between teams, which can lead to inconsistent messaging and delayed execution. A solution to this is to foster cross-functional collaboration through shared goals, regular communication, and joint planning sessions. Besides these, other challenges marketers can face are delivering personalization at scale, keeping up with changing customer expectations, resource and budget constraints, resistance to change, and others. While creating and executing a customer engagement strategy can be challenging, these obstacles can be addressed through strategic planning, leveraging the right tools, fostering collaboration, and staying adaptable to customer needs and industry trends. By tackling these challenges proactively, marketers can deliver impactful customer-centric strategies that drive long-term success. 11. What are the top takeaways or lessons that you’ve learned from building customer engagement technology roadmaps that others should keep in mind? I would say one of the most important takeaways is to ensure that the roadmap directly supports the company’s broader objectives. Whether the focus is on retention, customer lifetime value, or revenue growth, the roadmap must bridge the gap between high-level business goals and actionable initiatives. Another important lesson: The roadmap is only as effective as the data and systems it’s built upon. I’ve learned the importance of prioritizing foundational elements like data cleanup, integrations, and governance before tackling advanced initiatives like personalization or predictive analytics. Skipping this step can lead to inefficiencies or missed opportunities later on. A Customer Engagement Roadmap is a strategic tool that evolves alongside the business and its customers. So by aligning with business goals, building a solid foundation, focusing on impact, fostering collaboration, and remaining adaptable, you can create a roadmap that delivers measurable results and meaningful customer experiences.     This interview Q&A was hosted with Mirela Cialai, Director of CRM & MarTech at Equinox, for Chapter 7 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Mirela Cialai Q&A: Customer Engagement Book Interview appeared first on MoEngage. #mirela #cialai #qampampa #customer #engagement

Home Is the Newly Revealed Xbox Handheld a Switch 2 Killer? News Is the Newly Revealed Xbox Handheld a Switch 2 Killer? 6 min read Published: June 14, 2025 Key Takeaways Xbox has announced two new handheld gaming devices in partnership with Asus: the ROG Xbox Ally and ROG Xbox Ally X. They’re expected to compete with Nintendo’s Switch 2, which has sold 3.5M units in just 4 days of its launch. Xbox aims to bring a wide range of game titles to portable handheld devices in order to cater to the gaming PC market. Xbox has entered the handheld gaming market with two new launches: the ROG Xbox Ally and ROG Xbox Ally X in partnership with ASUS. Interestingly, Nintendo released its Switch 2 just last week. The public has received it with much enthusiasm, seeing as it’s already sold around 3.5M units in the first four days of its release. Needless to say, Xbox and Nintendo will be direct competitors in the handheld segment now. We looked at the spec sheets and customer reviews, and both handheld gaming devices seem to have different target audiences. Let’s unpack them in detail. Memory and Storage The ROG Xbox Ally comes in standard white color and features the AMD Ryzen Z2 A Processor with 16GB of memory and 512GB of storage, with a 60Wh battery. The Ally X, on the other hand, comes in striking black with the AMD Ryzen AI Z2 Extreme Processor, 24 GB of memory, and 1 TB of storage, and a 80Wh battery. Source: Rog Ally Life Right off the bat, we believe that Microsoft has done a good job with the storage and processors. In comparison, the Nintendo Switch 2 has 12GB of memory with just 256GB of internal storage. On paper, the Xbox series looks to have an advantage over the Switch 2, which uses a custom NVIDIA T239 chipset for raw power. Nvidia’s DLSS, however, gives Switch 2 an advantage over Xbox’s AMD Ryzen processors. DLSS can render games at lower resolutions and, therefore, achieve higher in-use frame rates, which boosts its overall performance. Simply put, despite the gap in on-paper specifications, the Switch 2 may render comparable performance to the Xbox Ally. Take this with a pinch of salt, though, because we’ll only be able to confirm this once we get our hands on the new Xbox handhelds. Display Both the Xbox handhelds feature a 7-inch Full HDscreen with a 120 Hz refresh rate. In comparison, the Switch 2 screen is bigger, with a 7.9-inch display, also rendering at 120 Hz. However, Switch 2 also features HDR10, giving it a significant edge over Xbox Ally. HDR10 ensures a much wider range of brightness levels and a broader spectrum of colors, so the display looks more vibrant and lifelike. Plus, you’ll see more detailed blacks and whites on the screen with better realism and depth, enhancing your overall gaming experience. The Switch 2 also features VRR technology, which prevents screen tearing and reduces stutter. Notably, the Xbox Ally range has its own version of the VRR, FreeSync Premium. So, truth be told, you might not experience much of a difference in that area. However, HDR10 can definitely prove to be a winner for Switch 2. Product Market Fit While both the Switch 2 and new Xbox handhelds are apparently the same genre of products, Microsoft and Nintendo seem to have different target markets in their minds. Microsoft is focusing more on the Windows handheld market, targeting players who want an on-the-go PC gaming experience. With access to Game Pass and titles from Steam and Epic Games, the Xbox Ally offers a more comprehensive library of games. Nintendo, on the other hand, looks to build on the legacy of the OG Nintendo Switch, which has sold 152M units since its launch in 2017. It aims to tap in on the Nintendo fan base with original titles such as Mario and an improved gaming experience. Also, Xbox is in direct competition with Valve’s Steam Deck. Both are essentially handheld PCs with wide access to PC-compatible aggregated game libraries on the go. Xbox is also introducing the ‘Xbox Experience for Handheld’ feature for its new Ally range, which will make Windows 11 more compatible and optimized for its handheld device – something similar to Valve’s SteamOS on the Steam Deck. Xbox Exploring a New Market Segment The global mobile and handheld gaming market is expected to expand at a rate of 13.8% CAGR till 2034. It may reach a market value of B.  Valve’s Steam Deck managed to sell around 3.7M units by the end of 2024. On the other hand, Windows-based devices like the ASUS ROG Ally, Lenovo Legion Go, and MSI Claw have sold ~5.9M units so far as per early 2025 reports. This shows there’s certainly demand for Windows-based handheld gaming devices.  Plus, Xbox’s partnership with ASUS could bring along a brand-value advantage for the product. With a seamless Windows 11 experience on an on-the-go device, these sales figures are expected to swell once the Xbox Ally hits the shelves. However, pricing will be a key determinant. The Switch 2 currently sells at – or with the Mario Kart bundle. The Steam Deck starts at and goes up to This means that the price range according to the current market demand is around -Anything more than that may result in market adoption issues. The original ASUS ROG Ally is currently priced at There’s little doubt, however, that Xbox would add a premium to this price. So, we’re expecting the price of the ROG Xbox Ally to be around while the ROG Xbox Ally X may cost more than This means that Xbox will be participating in the premium handheld gaming sector, which is something Nintendo and Steam do not cater to. Let’s wait for confirmation regarding the pricing and the launch date. Remember, this was only a feature comparison of the two products, and we’re yet to test them out for a detailed hands-on gaming experience comparison. Stick around for that. Krishi is a seasoned tech journalist with over four years of experience writing about PC hardware, consumer technology, and artificial intelligence.  Clarity and accessibility are at the core of Krishi’s writing style. He believes technology writing should empower readers—not confuse them—and he’s committed to ensuring his content is always easy to understand without sacrificing accuracy or depth. Over the years, Krishi has contributed to some of the most reputable names in the industry, including Techopedia, TechRadar, and Tom’s Guide. A man of many talents, Krishi has also proven his mettle as a crypto writer, tackling complex topics with both ease and zeal. His work spans various formats—from in-depth explainers and news coverage to feature pieces and buying guides.  Behind the scenes, Krishi operates from a dual-monitor setupthat’s always buzzing with news feeds, technical documentation, and research notes, as well as the occasional gaming sessions that keep him fresh.  Krishi thrives on staying current, always ready to dive into the latest announcements, industry shifts, and their far-reaching impacts.  When he's not deep into research on the latest PC hardware news, Krishi would love to chat with you about day trading and the financial markets—oh! And cricket, as well. View all articles by Krishi Chowdhary Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors. More from News View all View all #newly #revealed #xbox #handheld #switch

Sony has confirmed that Marvel’s Wolverine and Intergalactic won’t launch this fiscal year. This year’s Business Segment Presentation and Fireside Chat listed both titles under “Upcoming” for its annual tentpole single-player releases. Sucker Punch Productions’ Ghost of Yōtei and Kojima Productions’ Death Stranding 2: On the Beach are listed as this year’s major releases, both launching before March 31st, 2026. Granted, it doesn’t outright confirm when Intergalactic or Marvel’s Wolverine will launch, so even launching in fiscal year 2027 isn’t a guarantee. Bloomberg’s Jason Schreier previously reported that Naughty Dog’s sci-fi action title wouldn’t be released in 2026. As for what titles could fill that gap, Naughty Dog president Neil Druckmann confirmed he’s working on an unannounced title as a producer. If it’s arriving later next year, perhaps there will be an announcement in the coming months. In the meantime, Death Stranding 2: On the Beach launches on June 26th for PS5, followed by Ghost of Yōtei on October 2nd. The latter will receive a deep dive next month. #marvels #wolverine #intergalactic #will #launch

PlayStation Studios boss Hermen Hulst has insisted that Bungie's upcoming live service shooter Marathon won't make the same mistakes as Concord.Discussing the company's live service ambitions during a fireside chat aimed at investors, Hulst said the market remains a "great opportunity" for PlayStation despite the company having a decidedly patchy track record when it comes to live service offerings.Last year, the company launched and swiftly scrapped live service hero shooter Concord after it failed to hit the ground running. It shuttered developer Firewalk weeks later after conceding the title "did not hit our targets."Sony scrapped two more live services titles in development at internal studios Bluepoint Games and Bend Studios in January this year. Earlier this week, it confirmed an undisclosed number of workers at Bend had been laid off as the studio transitions to its next project.Hulst said the company has learned hard lessons from those failures, and believes Marathon is well positioned to succeed as a result. "There are som unique challenges associated. We've had some early successes as with Helldivers II. We've also faced some challenges, as with the release of Concord," said Hulst."I think that some really good work went into that title. Some really big efforts. But ultimately that title entered into a hyper-competitive segment of the market. I think it was insufficiently differentiated to be able to resonate with players. So we have reviewed our processes in light of this to deeply understand how and why that title failed to meet expectations—and to ensure that we are not going to make the same mistakes again."Related:PlayStation Studios boss claims the demise of Concord presented a learning opportunityHulst said PlayStation Studios has now implemented more rigorous processes for validating and revalidating its creative, commercial, and development assumptions and hypothesis. "We do that on a much more ongoing basis," he added. "That's the plan that will ensure we're investing in the right opportunities at the right time, all while maintaining much more predictable timelines for Marathon."The upcoming shooter is set to be the first new Bungie title in over a decade—and the first project outside of Destiny the studio has worked on since it was acquired by PlayStation in 2022.Hulst said the aim is to release a "very bold, very innovative, and deeply engaging title." He explained Marathon is currently navigating test cycles that have yielded "varied" feedback, but said those mixed impressions have been "super useful."Related:"That's why you do these tests. The constant testing and constant revalidation of assumptions that we just talked about, to me, is so valuable to iterate and to constantly improves the title," he added. "So when launch comes we're going to give the title the optimal chance of success."Hulst might be exuding confidence, but a recent report from Forbes claimed morale is in "free fall" at Bungie after the studio admitted to using stolen art assets in Marathon. That "varied" player feedback has also reportedly caused concern internally ahead of Marathon's proposed September 23 launch date.The studio was also made to ensure layoffs earlier this year, with Sony cutting 220 roles after exceeding "financial safety margins." #playstation #studios #boss #confident #marathon