Blog
Tips and advice joined in regular blog posts from experts at Databox on how to help your business focus on the things that really matter.
How to Differentiate and Scale Your Agency with AI Analytics
Automated reporting saves your team’s time. AI analytics saves your client relationships — and wins you new ones. Automated reporting for clients means your agency ...
by Nevena Rudan · Sep 24
Stop Chasing Tactics: A GTM Playbook for Predictable Growth (w/ Mark Kilens)
Strategy is where a lot of Go-To-Market (GTM) teams get stuck. They jump from channel to channel (trying inbound, outbound, paid, organic, podcasts, LinkedIn), hoping ...
by Špela Jurič · Mar 31
Best Self-Service Analytics Tools for Agencies (Compared by Client Usability + Multi-Client Scale)
An agency-friendly tool cuts reporting time per client without turning every dashboard question into a support ticket. An Account Director sits down two hours before ...
by Nevena Rudan · Sep 24
Zapier MCP or Databox MCP: Actions or Analytics
Zapier connects to 8,000+ apps. Databox connects to 130+. So why would anyone choose Databox MCP? The answer: they’re built for different things. TL;DR: Zapier ...
by Alexander B. Pavlinek · Mar 30
What The Hell Is Self-Service Analytics? A Plain-English Guide for SaaS Teams
TL;DR Self-service analytics lets SaaS operators ask a business question and get a trusted, metric-backed answer without waiting on an analyst. Here’s what that requires ...
by Nevena Rudan · Oct 1
New: Ask Your Data Anything, and Get Clear Answers in Seconds
You know that moment. You open your dashboards, and something in the numbers looks off. Revenue is trending down, the pipeline feels lighter, or your ...
by Monise Branca · Oct 6
AI won’t fix your SaaS company
Why product-market fit determines whether you scale or stall Right now, many SaaS leaders are wondering how AI will change building and scaling software companies? ...
by Špela Jurič · Mar 13
Why Databox MCP Wins for AI Analytics Over Individual Connector MCPs
The Model Context Protocol (MCP) has given AI assistants something they’ve never had before: a standardized way to pull live data from external systems. Instead ...
by Alexander B. Pavlinek · Mar 16
The End of the Analyst Bottleneck: How AI Is Fixing Self-Service Analytics
When teams can’t get trustworthy answers within the decision window, being “data-driven” turns into a queue problem. TL;DR Introduction: the moment the analyst bottleneck becomes ...
by Nevena Rudan · Sep 24
From Instinct to Operating System: How Wistia Turned Strategy Into a Scalable Machine
In the early days of a company, decisions move quickly because the founder carries most of the context. Priorities are clear. Communication is simple. The ...
by Nicole Castillo · Feb 27
Automate Your Weekly Reports in 30 Minutes with n8n and Databox MCP
It’s Monday morning. Your team needs the weekly performance report. You open Google Ads and export the data. Then, GA4, export again. Then your CRM. ...
by Alexander B. Pavlinek · Mar 2
Stop Building Dashboards. Start Having Conversations with Data.
The dashboard was supposed to set your data free. Instead, it became a beautiful prison. You built the perfect visualization. Metrics aligned, charts polished, filters ...
by Alexander B. Pavlinek · Mar 2
Databox Analytics MCP for Teams: A Practical Guide
Every team in your company has the same problem: they need answers from data, but getting them is never fast. Marketing wants to know which ...
by Alexander B. Pavlinek · Mar 2
Windsor.ai MCP vs. Databox MCP: Data Connector vs. Analytics Platform
If you’re exploring MCP servers for your marketing stack, you’ll quickly notice that Windsor.ai and Databox take very different approaches, even though both let you ...
by Alexander B. Pavlinek · Mar 2
AI Analytics with Databox
You know the feeling. It’s Monday morning, and someone asks, “How are we doing?” Suddenly, you’re toggling between six tabs, exporting CSVs, and trying to ...
by Alexander B. Pavlinek · Mar 2
What is AI Analytics? A Complete Guide for 2026
Stop looking for an AI Analytics tool. Start looking for an analytics protocol. That advice sounds counterintuitive. Everyone’s searching for “the best AI analytics platform” ...
by Alexander B. Pavlinek · Mar 2
Supermetrics MCP vs. Databox MCP: Choosing Between Data Pipeline and Analytics Platform
If you’re evaluating MCP servers for your analytics stack, you’ve probably noticed that “MCP support” can mean very different things depending on the vendor. I’ve ...
by Alexander B. Pavlinek · Mar 2
How B2B Teams Are Cutting Paid Ad Waste (Without Losing Pipeline)
How can I make my paid ads profitable again? If your paid ads look fine in dashboards, but the pipeline isn’t growing, you’re not alone. ...
by Nevena Rudan · Sep 24
We Are Databox Playmakers
Culture is never something you fully design upfront. You can define values, write principles, and document behaviors, but real culture is shaped over time by ...
by Davorin Gabrovec · Feb 4
New: Connect Databox to Claude, ChatGPT, N8N, and More!
Most teams today are expected to move faster and be data-driven, but getting clear answers about performance is still harder than it should be. Even ...
by Monise Branca · Oct 6
How AI Agents Are Upgrading Your BI Team with Agentic Analytics
Your data team is drowning. They spend 80% of their time on repetitive reporting and only 20% on strategic analysis. You hired them to be ...
by Ziga Potocnik · Mar 2