AI-Powered Marketing Analytics — Measure ROI, Optimize Spend, Grow Faster
Connect your data to measure ROI instantly. Visualize customer acquisition costs, conversion funnels, and campaign performance with AI-powered analytics.
The Problem
Challenges that marketing teams teams face with traditional analytics.
Attribution Chaos
Google says one thing, Facebook says another, your CRM says a third. No single source of truth for marketing attribution across channels.
Manual Reporting
Marketing managers spend Monday mornings manually pulling data from 5 platforms into a spreadsheet. By the time the report is done, the data is stale.
CAC Blindness
You know total spend and total customers — but you cannot break down CAC by channel, campaign, or cohort to identify what is actually working.
Proving ROI to Leadership
The CFO asks "What is the ROI of our content marketing program?" and the answer takes 2 weeks to compile. By then, the budget meeting is over.
The Super BI Solution
AI-powered analytics built for the speed and precision your team demands.
Multi-Channel Attribution
Connect Google Ads, Facebook Ads, LinkedIn Ads, and GA4. See unified attribution across all channels with first-touch, last-touch, and multi-touch models.
CAC & LTV Analytics
Real-time customer acquisition cost by channel, campaign, and cohort. LTV calculations with payback period and LTV/CAC ratio — the metrics investors care about.
Funnel Visualization
Build conversion funnels from any data source. Identify drop-off points, segment by channel, and compare funnel performance across time periods.
Campaign Performance
Connect ad platforms and see spend, impressions, clicks, conversions, and ROAS in a single dashboard — updated in real time.
Content Analytics
Track content performance across blog, social, and email. Correlate content engagement with pipeline and revenue to prove content ROI.
Budget Optimization
AI recommends budget reallocation based on channel performance: "Shift 20% of LinkedIn spend to Google — projected 15% CAC reduction."
How Teams Use Super BI
Weekly Marketing Standup
Auto-generated weekly performance dashboard: spend by channel, conversions, CAC trend, pipeline contribution, and AI-highlighted anomalies. Ready every Monday at 8 AM.
Campaign Post-Mortem
Ask: "How did the Q3 product launch campaign perform?" AI analyzes spend, reach, conversions, and revenue impact — with comparison to previous campaigns.
Budget Planning
Scenario modeling: "What happens if we increase Google Ads budget by 30%?" AI projects conversions, CAC impact, and revenue contribution based on historical performance.
Content ROI Proof
Connect blog analytics, social metrics, and CRM data. AI traces the journey from blog post → lead → opportunity → closed deal, proving content marketing ROI.
“We finally proved that our content program generated $1.2M in pipeline last year. Before Super BI, we had no way to connect blog traffic to closed revenue. The AI traced the entire journey for us.”
Emily Rodriguez
VP Marketing, GrowthOS
Frequently Asked Questions
Can Super BI connect to Google Ads and Facebook Ads?+
Yes. Super BI connects to Google Ads, Facebook/Meta Ads, LinkedIn Ads, TikTok Ads, and Twitter Ads via OAuth. Campaign data (spend, impressions, clicks, conversions) syncs automatically.
How does Super BI calculate multi-touch attribution?+
Super BI supports first-touch, last-touch, linear, time-decay, and position-based attribution models. Connect your CRM and ad platforms, and the AI maps touchpoints across the customer journey to attribute revenue to each marketing interaction.
Can I calculate CAC by channel in Super BI?+
Yes. Connect your ad spend data and CRM. Super BI automatically calculates CAC by channel, campaign, and cohort — showing you exactly which acquisition channels deliver the best unit economics.
How do I prove content marketing ROI?+
Connect GA4 (blog traffic), CRM (leads and pipeline), and Super BI traces the journey: blog reader → lead → opportunity → closed deal. The AI calculates revenue attributed to content and compares it to content production cost.
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