Xenoss

A survey by Claravine, a marketing data platform, reports that data standardization helps agencies and advertisers increase the campaign ROI by 30%. Agencies now work with multiple channels and platforms, creating many concurrent data streams in different types and formats. The ability to structure and unify insight would help advertisers strategically allocate budgets and streamline campaign management. It would give more room for AI tools to deliver value. It would facilitate collaboration within the industry. However, in 2024, a unified set of data standards is still a pipe dream. At ATS London, Jon Walsh, the founder of JobsInAdtech.com and The Adtech Chat Community, surveyed AdTech experts on data challenges that, in their opinion, impacted the industry the most. We collected their insights and shared them in a unique expert roundup. Several experts highlighted the challenge of achieving cross-platform data standardization. Nigel Clarkson, Global Chief Revenue Officer at Taptap Digital, pointed out that AdTech needs ways to unite insight provided by different tools: DMPs, DSPs, and others. Discover more expert opinions on pressing data challenges AdTech companies faced in 2024 in the latest article by Xenoss. ?? See the article: https://lnkd.in/dqt9A_Jb

Xenoss is headed to Las Vegas on December 2-6 for the AWS: reInvent! ?? The conference will transform the world’s entertainment capital into the epicenter of cutting-edge tech innovation, and we couldn't be more excited to join! We are looking forward to reconnecting with Xenoss clients and partners and exploring the latest innovations in product development, data engineering, and machine learning. The Xenoss leadership team—Dmitry Sverdlik ?? ??CES Las Vegas, CEO at Xenoss, Maria Novikova, Xenoss CRO, and Ihor Novytskyi, Director of Solution Engineering, is ready for inspiring discussions and knowledge sharing! If you’re attending and want to chat about data engineering, data science, or ML innovations, drop any of us a line and let's get in touch at the event. ?? See more details about the event: https://lnkd.in/dZjEBJ5X

More and more marketing teams are turning to reverse ETL to break down data silos and take some of the load off their data engineering teams. With reverse ETL becoming a major tool for activating customer data beyond analytics, the choice isn’t just about which tool to use—it’s about how strategically it aligns with your broader data stack. But to get it right, there are a few important factors to consider. Christian Schmidt, CTO at VML, emphasizes that selecting a reverse ETL solution requires considering TCO benefits, lean data provisioning, automated error handling, scalability for large data volumes, and the ability to avoid extra storage while ensuring transparency. Full-service reverse ETL solutions can really take the headache out of managing API changes across different marketing platforms. If you've ever had a connector go down right before a big campaign launch, you know how crucial it is to have tools that adapt and update automatically. This kind of maintenance-free experience saves your data engineering team’s time and ultimately speeds up your time to market. But here’s a tip: don’t just look for a tool with an impressive list of connectors—pay attention to its history of timely updates, especially if your main focus is adtech or martech systems. When evaluating reverse ETL tools, companies should also consider “lean data provisioning.” Not every system needs every piece of data, and having the flexibility to selectively filter data before it’s synced can greatly optimize efficiency and cut down on unnecessary noise in operational tools. Handling errors automatically, along with quality monitoring, isn’t just a nice-to-have—it's a lifesaver for freeing up your support teams and ensuring your marketing operations run without a hitch. And, of course, scale matters. Think beyond the next six months. You need capacity that grows with your data volume so you don’t end up with bottlenecks when your campaigns really start to take off. The right reverse ETL tool also makes sure data isn’t duplicated across systems unnecessarily. Keeping track of where data has been and why is more than just good housekeeping—it’s about accountability and transparency in managing customer data. If you're considering a full breakdown on this topic, check out our blog post on reverse ETL tools and whether to build or buy the solution that's right for you: https://lnkd.in/eVmzpwDn Ultimately, the strategic factors here aren't simply about which features are shiny and new but how well these tools help transform insights into action without burdening your teams with excess manual upkeep. #DataEngineering #BigData #ETL #ELT #ReverseETL #Xenoss #martech #adtech

?? What data challenges were the most pressing for AdTech in 2024? Jon Walsh, founder of JobsInAdtech.com and The Adtech Chat Community, addressed this question to some of the AdTech industry experts attending ATS London. Here are some of the challenges spotlighted by AdTech trailblazers.? ??Signal loss. 90% of brands are changing personalization strategies due to a growing data drought. James Rosewell, Director at Movement for an Open Web emphasizes the importance of derisking personal data. ??Data activation and monetization. Adrian Williams, Head of Strategic Data Partnerships & Corporate Development at OnAudience pointed out that publishers need to put more time and effort into unlocking monetization opportunities. ??Lack of a clear-cut data strategy. Matt Hamill, VP of Sales at Division-D points out that companies struggle to navigate the plethora of choices in digital channels and platforms. ??Pressure to modernize the stack. Domenico Palmieri, Associate Director, Global Ad Analytics at Condé Nast emphasizes the importance of continuous infrastructure modernization and trend watching. ??Poor data standardization. Gareth Shaw, Chief Operating Officer at Eskimi noted that standardization would allow advertisers to target across multiple regions with high precision. We are excited to share the list of 10 pressing data challenges highlighted by thought leaders in our blog post! Check it out: https://lnkd.in/dfJermhZ

The choice of a CTV ad server ultimately rests with the publishers and media owners on the supply side, as they manage ad inventory and aim to optimize ad delivery for better revenue. However, advertisers must also be keenly aware of how their ads are presented to consumers, ensuring the chosen ad server enhances the viewing experience and meets their campaign goals. But what makes CTV-specific ad servers unique, and how do they impact the viewer's ad experience? ?? Purpose of a CTV-specific ad server: CTV (Connected TV) ad servers are built to handle the unique requirements of TV advertising, such as managing ad breaks and ensuring ads play seamlessly within content. They differ from traditional ad servers because they focus solely on the CTV environment, meaning they aren't splitting their resources between various types of digital advertising. ??? Improved ad break management: One common challenge in CTV advertising is managing ad breaks effectively. Unlike traditional linear TV, where ad breaks are predictable and controlled, CTV can have ads coming from multiple sources, making consistency more difficult. Well-designed CTV-specific ad servers can replicate the seamless experience of linear TV by ensuring ads are not repetitive, have the same quality, and follow predefined rules for competitive separation. ??Enhanced control for advertisers: These servers provide advertisers more control over competitive ad placement, frequency capping, and real-time campaign data. For example, they can set rules to avoid competitor ads appearing back-to-back. They also allow for advanced targeting and optimization strategies that aren't typically available with more generic ad servers. ??The need for accurate measurement: CTV-specific ad servers also provide deeper metrics around viewability, allowing advertisers to understand not just if an ad was seen, but how effectively it captured attention. Many companies are making significant progress with attention-based metrics, which are becoming crucial in measuring ad performance.?New types of measurement offerings are emerging, giving advertisers more nuanced insights into the effectiveness of their campaigns and helping them make more informed decisions. Discover the blueprint for ad server success, featuring efficient models, powerful features, and cutting-edge technologies:https://lnkd.in/eSNbYnNc #CTV #Streaming #AdServing #DSP #AVOD #FAST #Programmatic

#Xenoss has officially joined the #Databricks Consulting & SI Partner Program, marking a new level in their data-driven journey. With this partnership, we gain exclusive access to Databricks' cutting-edge technology, empowering clients with robust data analytics and AI solutions. Xenoss is set to elevate data intelligence, enabling clients to optimize operations and embrace advanced machine learning. They’ll offer tailored consulting for seamless Databricks implementation, scaling, and data governance, as well as compliant data handling. This milestone reflects Xenoss’ commitment to innovative tech solutions, now strengthened by Databricks’ powerful platform and expertise. Learn more: https://lnkd.in/eJ2YBmRQ

Signal loss has a multi-billion dollar impact on the global economy. McKinsey & Company reports that the inability to enable targeted campaigns and model audiences accurately will cost companies over $10 billion annually. At ATS London, Jon Walsh, the founder of JobsInAdtech.com and The Adtech Chat Community, surveyed AdTech trailblazers on the most impactful data challenges the industry was facing in 2024. Fern Potter, SVP of Strategy and Partnerships at Multilocal, delved deeper into the impact of signal loss, emphasizing the challenges it creates for publishers wanting to monetize data and advertisers searching for high-precision targeting. Discover the full list of top-of-the-mind data challenges the industry had to grapple with this year in our recent blog post: ?? https://lnkd.in/dqt9A_Jb

CTV ad servers are an essential tie in the CTV #AdTech stack, powering buy and supply-side data exchanges, plus seamless ad delivery on user devices. With features like dynamic ad insertion, ad podding, competitive separation, frequency capping, and price-per-second optimization, CTV ad servers help publishers boost ad viewability, improve measurements, and maximize their inventory value without hindering user experience. Learn how to build an ad server with efficient models, features, and technologies. Check out for more insights: https://lnkd.in/eSNbYnNc. #CTV #AVOD #FAST #Streaming #Media #AdTech ?#MarTech?#Publishers #Xenoss #adserver

Welcome to the latest edition of #MarTechInsider. This month, we're covering the bold moves and innovations happening in #MarTech and #AdTech. From Spotify's new push in ad technology to Lytics' attempt to redefine customer data platforms, there's a lot to unpack. Get ready for a look at the most significant headlines, the latest insights, and the strategies that are shaping the industry right now. Let's jump in! #Xenoss #Spotify #TheTradeDesk #Magnite #GoogleAdManager #ProhaskaConsulting #ProNewsCollective #ZetaGlobal #LiveIntent #Adelaide #Lytics #WordPress #Drupal #Hightouch #Roku #Samsung #PetSmart #LG #KrogerPrecisionMarketing #HumansofMartech #Snowflake #HubSpot #Lotame

Reverse ETL has graduated from a niche concept to a cornerstone of modern data stacks, but there are still significant challenges to overcome. Today, businesses face the challenge of effectively operationalizing data, and reverse ETL is crucial for turning insights into action—but it’s also a reminder of how fragmented our data landscape still is. Getting data from the warehousea to workflow feels like patching together an orchestra where each section plays on its own terms. Reverse ETL is not just about pushing data back to applications; it’s about breathing life into static data, giving teams—from marketing to customer success—the power to do what they do best with a level of personalization that was once nearly impossible to achieve. It’s about making those dashboards and reports truly actionable, turning dormant data into valuable operational insights. But let's not gloss over the main hurdles. The path to granular control, operational agility, and personalized customer experiences involves more than just plugging in a tool. Scalability sounds promising until you’re juggling business growth, data volumes, and compliance needs. Christian Schmidt, CTO at VML, points out that managing data growth and compliance requires a strategic approach. He emphasizes that 'lean data provisioning'—migrating data services to a managed reverse ETL platform—can simplify these complexities and help businesses maintain agility while scaling. If you're interested in exploring whether to build or buy a reverse ETL solution, check out our blog post: https://lnkd.in/edU_wGtm #DataEngineering #BigData #ETL #ELT #ReverseETL #Xenoss