The Genie is out of the bottle! ✨ Meet Genie, Databox’s AI analyst. Ask your data a question. Get an answer, instantly. Use it to: - Analyze performance. - Build dashboards. - Create metrics. All from a simple prompt. Comment "Genie" and we’ll DM you a free month of our Pro plan + our AI Analyst Prompt Playbook.

We just added a brand new skill to our Skills Marketplace library, built by the team at Computan. If you want an expert-level brief based on your real-time data, the Executive Decision Brief does the interpretation a good analyst would do, and produces a one-page HTML briefing a CEO can skim in 90 seconds. ✔️ It identifies the significant moves ranked by business importance (not raw percentage change), connects related metrics, and specifically hunts for contradictions between signals because those are what leadership most needs to discuss. ✔️ It's perfect for CEOs and founders who need a clear story before a leadership meeting, agency owners running QBRs across multiple clients, and any senior leader who's tired of walking into reviews without a coherent brief. To use it, simply connect your Databox sources, download the skill, install it in Claude, and trigger it on demand. Free to download, 5 minutes to set up. 👉 hubs.li/Q04ycwyb0

Do you use artifacts in your reporting? Turning an answer into something shareable takes seconds. Just say "turn this into a report," and Databox's AI Analyst will return a real, polished document, ready to share. Here's how artifacts work: ✅ Turn any conversation into an artifacts and create a report, slide deck, or interactive doc without redoing analysis ✅ Keep it on-brand by adjusting headlines, fonts, colors, layouts, and styles ✅ Share it with anyone using a public link or ODF doc, no login required ✅ Everything you create is saved and searchable, so you can reuse it anytime Being able to build artifacts from simple prompts is just one small piece of what we are calling agentic analytics. If you want to see what your reporting stack should look like in 2027, join us on September 29 at our live event 'How Teams Will Use AI for Reporting in 2027' Save your spot: hubs.li/Q04xXMY00

🚨 New skill alert: Executive Decision Brief built by our partners at Computan It reads all your data sources you've connected to Databox and turns it into a one-page executive briefing: the headline story, key movements, wins, risks, and three "should we" decisions. Want a report a CEO can skim in 90 seconds? Download the skill for free here: 👉 hubs.li/Q04xKCvR0

📣 MCP Connectors are live inside Databox. Here's why this is a big deal: Databox can now read your other tools, like Confluence docs, Jira tickets, GitHub releases, call transcripts. 🤔 What does this mean in practice? You ask why signups dropped and it doesn't just check your data, it checks what actually shipped this week. Databox can act in those tools, too, like file a ticket, update a board, or write a doc. All from a chat with your AI Analyst. Today, 13 MCP connectors are live, plus a custom option for anything else you run on. Try it free, today. Or join our 🔴 LIVE walkthrough on September 29 and learn what the new baseline for agentic analysis is: hubs.li/Q04xwfYg0

📅 Is your analytics stack actually ready for 2027, or just dressed up for it? That's the question we're putting on stage on September 29. Most teams already have dashboards in place. Fewer can answer whether their stack has: ✅ data that's actually connected, ✅ metrics everyone agrees on, and ✅ an AI layer that works from real context instead of whatever you type into a prompt box that day. That gap is what "agentic analytics" is actually about, and it's the line between teams that are ready for what's coming and the ones re-explaining the same numbers every quarter. This is not a product demo. We're walking through what it means to be ready: end-to-end, question-to-action, live. Join us on September 29 🔴 LIVE to find out where your stack actually stands. 💥 Register here: hubs.li/Q04xdckf0

Here is how to leverage agents to learn which paid channels are driving quality traffic for your business. ✅ We just launched a free n8n workflow that does that for you. The workflow runs 3 AI agents in sequence every morning at 8am. 🤖 Agent 1 pulls website analytics from Databox (sessions, bounce rate, pages per session, session duration, goal completions, etc.) 🤖 Agent 2 pulls paid performance across all connected ad platforms (spend, clicks, CPC, CTR, impressions, ROAS, etc.) 🤖 Agent 3 receives both outputs, runs cross-channel correlation and produces what neither dataset can show alone: a platform efficiency ranking and exactly 3 specific budget recommendations grounded in that day's data. The result is a styled HTML email delivered before your day starts. No manual input, no logins, no copy-paste. If you haven't leveraged agents for your analysis and reporting yet, this is a great way to try it out. You can test out the workflow for free 👉 hubs.li/Q04x6TPd0

We can't explain most of this data, but we're not complaining. Attribution's messy, but the word of mouth is real. 📣 #attribution #SaaS

So, we have a new website now. ✌🏻 Nothing crazy. Just a full redesign, new messaging, an updated pricing model, new product pages, and a homepage that actually explains what we do these days. Turns out when your product changes as much as ours has, your website has to catch up too. Go look, tell us what you think: hubs.li/Q04x0GMq0

We've rebuilt our entire platform from the ground up. 🚀 Meet the new Databox: an agentic analytics platform that analyzes, reports, and acts on performance, automatically. The foundation: ✅ Bring together your performance data from wherever it lives ✅ Gives metrics consistent definitions your whole team can trust ✅ Connects numbers to goals, priorities and business context behind them The AI layer on top of it: ⚡ AI Analyst that answers real questions, grounded in your actual data, not guesses ⚡ Skills save how your team already does analysis, so nobody starts from zero ⚡ Routines run your analysis on a schedule and hand you the result ⚡ MCP brings the same governed data into other AI tools that you use Built for people who own a number and are tired of spending half their week proving it. Try the new Databox today, it's already there.

We're live on Product Hunt today 🚀 Routines let your AI Analyst run your recurring analysis on its own: set a schedule once, get a real update back, not just a "your routine ran" ping. Would love your support: hubs.li/Q04wGXh30

Do you have a dashboard that tells you what matters for your business? ✅ Traffic went up. But was it the right audience? 🤔 ✅ Search visibility improved. But are those queries sending the right people to your site? 🤔 A dashboard that can't answer those questions because it's just a scoreboard. Rick Kranz from AI Marketing Labs built a free Claude skill that gives you that level of insights. It connects GA4, Search Console, and your CRM through Databox MCP and builds a self-contained HTML dashboard with color-coded deltas across traffic, search visibility, and CRM contacts. 💡 Here's the differentiator: you define your ICP once and every recommendation the skill surfaces has to pass that test before it appears. Search content gets tagged ICP-match or audience-mismatch. Opportunities that would grow the wrong traffic get flagged instead of chased. The skill works with HubSpot, Salesforce, and Pipedrive, is free to download, and takes 5 minutes to set up. Find it here 👉 hubs.li/Q04ww4Gr0

Automated reports are fine. But have you tried Routines? 👀 You can now hand your recurring analysis to your AI Analyst. It runs on your schedule, digs into why the numbers moved, and sends an honest read every single time, not just when something's off. Use Routines to: ✅ Run your recurring analysis automatically, on whatever cadence you set ✅ Dig into why, not just what changed, instead of making sense of a report yourself ✅ Get an honest read in the subject line, so you know what's worth your attention ✅ Turn any analysis worth repeating into a routine by simply saying "schedule that for every Monday at 9am" The AI Analyst will run the routine. You keep the decision-making part. Got an idea about what to hand off first? #routines #databox #automations #agenticAI

Here's what our AI analyst can now do, which we think is pretty cool. You can be the judge. 🎯 Study your goals, not just metrics (and tie them together) 👀 Read screenshots, too (no more describing "the wiggly line that dips in March") 🔧 Build calculated metrics on command (spreadsheet math is over) The line to getting an answer is now even straighter. Which one of these would improve your analysis most?

Do you know what's driving your best email open rates? 💌 Rick Kranz from AI Marketing Labs built a free Claude skill that helps you understand the reasons behing your results and replicate those. 🔧 Here's how it works: Connect your email platform through Databox, trigger it, and it pulls your campaign performance, matches every send to its actual subject line, ranks them by open rate, and classifies the patterns behind your wins. Here's the valuable part. It tells you: ✔️ which patterns win for your specific audience, ✔️ whether numbers beat no numbers, ✔️ whether questions beat statements, and ✔️ whether length correlates with opens. It works with HubSpot, Mailchimp, ActiveCampaign, Klaviyo, and other email platforms connected to Databox. If you want to try it out, you can download it for free here 👉 hubs.li/Q04vvgXc0

Want to start tomorrow morning with ease?✨ We have a free n8n workflow that will make your morning marketing review a breeze. It runs every weekday at 7 AM through n8n and auto-discovers every marketing channel connected to your account, such as Google Ads, Meta, TikTok, LinkedIn, YouTube, Reddit, Snapchat, Microsoft Advertising, and more. It pulls: spend, revenue, ROAS, conversions, CTR, and CPC for the last 7 days vs the prior 7, runs AI analysis to surface what changed, flags anomalies, and identifies the single most important action. Here is the best part: two deliverables land before you've opened a single dashboard: a plain-English Slack message under 250 words, and a full HTML email with channel-by-channel performance tables and color-coded period-over-period changes. The workflow was built by Aditiv, experts in replacing manual reporting with automated, data-driven processes. You can download it for free and set it up once in 5 minutes. It runs itself every weekday after that. Free to download 👉 hubs.li/Q04tHycJ0

How does your sales team turn a quota gap into something a rep can actually act on? Kenneth Won, our Principal Technical Sales Consultant, built a free Claude skill that makes that translation automatically. Here's how it works: 1. Connect your CRM through Databox. 2. Trigger it, and get a rep-by-rep pace check: the gap in deal counts at your own price points, a pipeline coverage check per rep, and one specific coaching line for anyone behind. That's it. You've named the actual problem, not a generic nudge. The skill also sorts your reps by percent to quota, because "Day 5 at 60%" reads differently than "day 28 at 60%". The skill knows the difference. It works with HubSpot CRM, Salesforce, and Pipedrive. You can download it free, here 👉 hubs.li/Q04tkwCW0

Do you judge a campaign against last month? 👀 Here's why this is a trap: A retailer's December flatters January. A B2B metric's August understates the year's normal. 🚨 Comparing against a single recent period manufactures false wins and false alarms before the campaign has even had a chance to prove itself. Laszlo Fazakas from Arcanian built a free Claude skill that sets an honest reference point instead. It uses the real monthly history, reads the seasonal pattern, and states the baseline as a band, which is a typical low-to-high range adjusted for where the upcoming window sits in the seasonal cycle. It's not a single number, but a range with a confidence level, that traces every figure back to real data. A result inside the band is normal. One clearly outside it is a genuine signal. That distinction is what makes campaign measurement honest. Works with any data source connected in Databox. Free to download, 5 minutes to set up 👉 hubs.li/Q04rrKN90

New skill alert! 🚨 Want a unified view of your paid media results across Google Ads, Meta, LinkedIn, TikTok, and Bing? You can get it in under a minute. 1️⃣ Connect your ad platforms to Databox. 2️⃣ Run the skill in Claude. 3️⃣ Get a 9-section interactive HTML report that covers blended spend, budget pacing per platform, cross-platform efficiency, per-platform breakdowns, campaign rankings, audience signals and CPA gauges vs your actual targets The report evaluates each channel against its own funnel goal, which means your awareness campaign won't be judged on CPA, but a search campaign will. That distinction is what makes the output something you can actually act on. It's free to download, and takes 5 minutes to set up. 👉 hubs.li/Q04rrKWv0

Struggling to report on LinkedIn Ads? The Winbox team, which focuses on LinkedIn advertising, built a free Claude skill that generates a one-page expert-level report in a matter of seconds. Here's how it works: Connect LinkedIn Ads through Databox, trigger it, and get a client-ready report organized across four pillars (Reach, Relevance, Engagement, and Pipeline) with 🟢 Good / 🟠 OK / 🔴 Watch badges on every metric, period-over-period changes color-coded by whether they're actually an improvement, and auto-written talking points that lead with the win, flag the one thing to action, and name an opportunity. One detail worth calling out: it benchmarks image-ad CTR at campaign level and excludes Text Ad campaigns, which would otherwise drag the blended number down and make the account look worse than it is. That's the kind of LinkedIn-specific judgment most tools don't have. Free to download, 5 minutes to set up 👉 hubs.li/Q04rrC9m0

Your Google Ads report shouldn't take longer to build than it takes to read. 😬 Relatable? Then you might want to try our skill that can handle it for you. The Google Ads Performance Report skill pulls live campaign data from Google Ads through Databox MCP (including spend, conversions, CPA, impression share, CTR) at campaign, ad group, and keyword level. It gives you 12 sections of context-based insights in under 90 seconds. Everything a paid search analyst would build, but you do it on your own. Set up once in 5 minutes and trigger it as many times you need. Free to download 👉 hubs.li/Q04rrG270