Systems | Development | Analytics | API | Testing

Rodrigo Fernandez has helped 400+ SaaS companies drive over $1B in self-serve revenue and he’s seen one problem kill growth over and over again: no one truly owns activation. In this episode, Rodrigo breaks down: If you're stuck at $10M and can’t see a path to $20M, this might be why. It offers the best of BI, without the complicated setup, steep price, or long learning curve.

LinkedIn Ads only show 25 companies in their reporting. But if you’re running demand gen for B2B clients, that’s not enough. In this quick walkthrough, Jason Spooner (Founder, Jars Digital) shows how he uses Databox to get a complete view of LinkedIn ad exposure by company—so you can: See every company engaging with your ads Match ad data to pipeline and revenue Prove marketing’s impact on sales Whether you run paid media for clients or in-house, this tip helps you unlock more insight and drive better decisions.

Struggling to figure out why your sales reps are underperforming? Zorana, a Sales Manager at Databox, walks through how she built a dashboard that connects activity, conversion, and revenue — all in one view. See how she identifies who needs coaching (and why) Learn how she makes data-backed decisions each week Discover how Databox helps turn sales data into action No more guessing. No more gut feelings. Just clear visibility into what drives performance.

Using AI to rewrite generic content won’t help you show up in AI search. In this clip, Rick Kranz explains why LLMs ignore repetitive content and what they actually look for when choosing sources to cite.

In this video, Zorana, Sales Manager at Databox, walks through how she uses a single dashboard to understand sales performance beyond revenue alone. She explains how combining activity metrics, conversion indicators, and revenue outcomes by rep helps her identify who needs coaching, what kind of coaching is required, and where to focus her time each week. You’ll see how trend comparisons highlight improvement or decline early, how gaps between effort and results guide decisions, and how viewing team-wide performance can signal broader process issues.

There’s a short window right now where brands can still get visibility in AI search and it’s closing fast. In this clip, Rick Kranz (Founder, The AI Marketing Automation Lab) explains why AI SEO isn’t a future trend, but a right-now opportunity for companies willing to adapt.

Want to see more than 25 companies in your LinkedIn Ads report? In this tutorial, Jason Spooner, Founder of Jars Digital, shares how he uses Databox to unlock the full picture of company-level performance from LinkedIn campaigns. He walks through how to create a custom metric that reveals the real exposure of your campaign, including clicks that fall below LinkedIn's reporting minimum. Perfect for marketers and agencies who want better insight, smarter exclusions, and tighter alignment between ad performance and pipeline results.

Every credible marketing plan needs two models: top-down and bottom-up. Most teams only build one. If you’re building your 2025 plan, start here.

Google Analytics 4 is powerful, but let’s be honest — for many business owners and clients, it’s just overwhelming. In this tutorial, Phil Wiseman from Analytics at Profit shares why he relies on Databox to simplify GA4 reporting for service-based businesses. Whether you're helping clients in the trades (like HVAC, electricians, or plumbing) or just want to present meaningful marketing metrics without drowning in dashboards, this walkthrough will show you how to.