Xverum

Managing B2B data in-house? Here’s what it’s really costing you: B2B SaaS and AI/ML companies rely on high-quality data for everything—lead scoring, market segmentation, talent intelligence, ML model training, and more. But many underestimate the hidden costs of acquiring and maintaining it in-house. The CMO Club’s release of ‘B2B Marketing Data: The Complete Guide For 2025’ makes one thing clear: outsourcing isn’t just a convenience—it’s a competitive advantage. Here’s why: 1) Faster & more cost-effective Building a data pipeline means hiring engineers, ensuring compliance, and constantly maintaining infrastructure. Outsourcing delivers instant access to large, verified datasets—without the overhead. 2) ?Higher-quality & complete data Collecting data yourself leads to gaps, duplicates, and outdated records because data management isn’t your core expertise. Third-party providers ensure pre-processed, enriched, and de-duplicated data, ready to use. 3) Seamless scaling When your platform grows, so do your data needs. A trusted data provider ensures continuously updated datasets that scale with you—without the operational bottlenecks so you can actually focus on growth.? 4) Precise segmentation Manually segmenting raw data is time-consuming, costly, and prone to errors. Third-party datasets provide the segments you need, enabling you to instantly tap into the right market. This means faster time-to-market and better ROI for your platform and your users. At Xverum, we help SaaS and AI/ML platforms move faster with market-ready datasets, so they can focus on what matters—building and selling great products. Still managing B2B data in-house? Talk to us about a smarter way.

Using one data vendor for coverage and one for quality while hoping compliance is handled? That’s a red flag ?? Stop wasting your time and budget on Frankenstein data stacks that only bring you: → Higher costs → More processing work → Longer time to user value → Compliance risk A single trusted data provider solves all four. Here’s what you should look for: ?? High refresh rates ?? Accurate segmentation ?? Near-total market coverage ? Pre-processed, enriched data ? Full GDPR/CCPA compliance Simple. Scalable. Future-proof. Pssst… that’s Xverum.?

DIY data enrichment for SaaS and AI platforms costs more than you think. Let’s break it down: ? Engineering overhead 40% of data teams' time is spent fixing bad data (HBR). If you’re paying a 10-person data team an average of $150K per engineer, that’s $600K/year wasted on cleanup instead of innovation. ? Inefficient pipelines Poor data quality costs companies $12.9M annually (Gartner). Bad data doesn’t just hurt operations—it sinks sales, misguides marketing, and hinders strategy, all while eating into your bottom line. ? Slower time-to-market 60% of companies say inaccurate data delays product launches (Forrester). Every delay means lost revenue, competitive risk, and customers choosing someone else’s product over yours. The fix? Precision data at scale, which means you can: ?? Grow without the cleanup. ?? Free your team to build, not fix. ?? Focus on the segments you need. ?? Improve your users' ROI with accurate insights. Stop wasting resources. Let your data work for you.

B2B SaaS leaders obsess over revenue, churn, and engagement—but there’s a silent killer many ignore: Data freshness. Outdated data leads your users to: - Miss revenue opportunities - Churn as they lose user trust - Waste marketing and sales efforts - Chase the wrong candidates for the job A high refresh rate tailored to your needs changes everything: ? Your insights stay accurate ? Your customers see faster ROI? ? Your platform gains an unfair advantage Using data that’s months (or years) old? That’s a liability. In SaaS, the data powering your platform is the difference between leading and lagging. Need fresher data? Let’s talk.

Any data provider can claim billions of records. But the name of the game has changed. Because if your data isn’t: UP TO DATE → Your users are making decisions based on yesterday’s reality. READY TO USE → Your team is burning a lot of time and budget cleaning it up. COMPLETE → Your users are missing key insights that drive revenue. Then your data isn’t working for you—you’re working for your data. And you can’t afford it in the highly competitive SaaS and AI markets—where AI models, automation, sales intelligence, and recruitment platforms are only as good as the data behind them. That’s why at Xverum, we focus on delivering precision data at scale that’s: ?? Near 100% complete & accurate ?? Refreshed as often as you need ?? Pre-processed & ready-to-use Because speed, quality, and coverage aren’t just nice to have—they’re how you win in today’s data-driven game. So, if you need high-precision data to power your platform on day one, let’s talk.

The $17.7 trillion data and analytics market is exploding, and 75% of companies are racing to adopt generative AI. But here’s the catch: AI is only as good as the data behind it. And we all know what happens when AI is trained on bad data. For B2B SaaS and AI companies, this isn’t just a challenge—it’s a make-or-break moment. Here’s why: ?? AI-ready data = competitive advantage If your platform runs on outdated, incomplete, or low-quality data, your AI-powered features will deliver unreliable insights—hurting product performance and customer trust. ?? Data governance isn’t optional 85% of companies will implement AI-specific governance in 2025. SaaS platforms that handle customer data must ensure compliance (GDPR, CCPA) and security to avoid costly penalties and reputational damage. ? Faster, smarter data access wins Modern data architectures (like mesh & fabric) improve accessibility, but bad data still slows everything down. The bottom line? If your SaaS platform relies on data-driven insights, AI models, or automation, you need the best data—not just more data. Is your data strategy ready for 2025? P.S. If the answer is no, reach out to us. We’d love to see how we can help ?? P.S.S. Source: “Data Management Trends in 2025: A Foundation for Efficiency” by DATAVERSITY.?

Recently, the Xverum team stepped away from our desks and into the community, partnering with LATET - Israeli Humanitarian Aid in Tel Aviv to pack and deliver food to families in need. From assembling essential food kits to personally delivering them, we worked together to make a small but meaningful impact. And then we relaxed with some food, wine, and a view of the sunset. Why? Because giving back is just as important as moving forward. A huge thank you to The Association for the Advancement of Education in Tel Aviv-Yafo for the opportunity to contribute. Giving back matters to us, and we’re just getting started.

Is bad data hurting your SaaS platform? Here are the symptoms to look out for: If your customers are complaining about: In HR Tech: → Bad hires → Missed candidates → Outdated talent pools In Sales Tech: → Reps chasing dead leads → Poor conversion rates → Low pipeline efficiency In MarTech: → Poor targeting → Wasted ad spend → Campaigns that don’t convert And you’re seeing: → Lost revenue → Customer churn → Frustrated users You likely have a data quality problem. The fix? Better data. What should you look for in a data provider? ? Ready-to-use data ? Near 100% coverage ? High refresh rates ? Compliance ? Scalability When data is the core of your product, choose the best. Talk to us to learn more.?

How Sales Tech platforms can fix lead quality without draining engineering resources: Sales teams rely on your platform to find and close great leads. But if the data isn’t solid, they waste time chasing dead ends. And when that happens, they start looking for alternatives. And here’s the thing: fixing bad lead quality shouldn’t fall on your engineering team. We know engineering time is scarce. So when they’re stuck cleaning and enriching data, they’re not building the features that keep users engaged. The solution? Better-quality data from the start. Better leads ? Happier, more productive sales teams. Less engineering overhead ? More focus on innovation. Stronger retention ? Users stay when they see results. Bad data is expensive. The right data pays off.

Picking a data provider for your SaaS platform? For SaaS platforms, bad data isn’t a minor setback. It’s a major roadblock to growth. Outdated, incomplete, or unreliable data leads to wasted resources, frustrated users, and lost revenue. That means your data partner isn’t just a supplier—they're the core element that powers your platform and success. And while it’s easy to get lost in sales pitches about billions of data points, volume alone doesn’t drive ROI. Here are 5 things that actually matter in a data provider: 1.? Near-total coverage The more complete your data, the fewer gaps in insights you can provide. 2. Up-to-date data ? Outdated data leads to missed opportunities for your customers. 3. Ready-to-use datasets Data should accelerate growth, not create extra work and costs. 4. Trusted data quality Because bad data leads to bad outcomes. 5. Built-in compliance Avoid regulatory headaches before they start. That’s exactly what we do at Xverum, so your platform can move at market speed. Which allows you to focus on what you do best. Talk to us to learn more.