Kutta for Marketing
The AI marketing analytics tool that proves ROI across every channel
Stop stitching exports together in spreadsheet hell. Connect your ad, CRM, and spend data and let AI build the ROAS dashboard your team checks every morning.
Kutta turns raw campaign exports into living dashboards you can interrogate in plain English, which campaigns actually drive revenue, where CAC is creeping, and which channel deserves the next dollar.
No credit card required
The problem
Cross-channel reporting eats your week
Marketers tell us the same story: the data exists, but connecting ad spend to revenue means hours of manual exports, fragile spreadsheets, and platform numbers that never quite match reality.
Spreadsheet hell
Every Monday starts with downloading CSVs from Google, Meta, LinkedIn, and TikTok, then re-building the same pivot tables to answer the same questions.
Platform numbers you can’t trust
Each ad platform claims credit for the same conversions. Without a unified view, reported revenue never matches what actually hit the books.
Insights arrive too late
By the time the monthly report ships, the overspending campaign already burned its budget. Pacing problems need to surface daily, not at close.
How Kutta helps
A ROAS dashboard for every channel, built by AI
Upload platform exports or connect your ad accounts, and Kutta’s AI assembles channel-level ROAS dashboards automatically: Google, Meta, LinkedIn, and TikTok side-by-side in one always-fresh view. No SQL, no BI backlog, no waiting on a data analyst.
Channel-level ROAS comparison
See return on ad spend per channel, campaign, and creative in one board
Blended CAC tracking
Combine spend across platforms against real customer counts for true acquisition cost
Ad platform integration
Connect ad accounts directly or drop in CSV and Excel exports
Automated marketing reports
Dashboards stay current as new data lands, stop rebuilding the deck
ROAS by Channel — last 90 days
Ask "why did CAC spike last week?", get the answer
Kutta’s natural language interface means cross-channel marketing analytics without writing a single query. Ask in plain English and drill straight into the campaign, audience, or creative responsible. The AI queries your actual data, so answers are grounded in your numbers, not a chatbot’s guess.
Plain-English drill-downs
Surface the driver behind any spike or dip in seconds
Grounded in your data
Every answer comes from real queries against your real spend and conversion data
Campaign-level diagnostics
Slice by audience, placement, geography, or creative with one question
Shareable dashboards
Send a live board to stakeholders or clients instead of a stale PDF
Catch pacing problems before the period closes
Cross-platform spend pacing in one view means you catch overspend and underspend while there’s still time to act. Agencies use Kutta to keep every client account on budget without a dedicated reporting hire.
Spend pacing across platforms
Track budget consumption against plan for every channel at once
Period-over-period comparison
Month-over-month and week-over-week movement without rebuilding formulas
Client-ready reporting
Agencies spin up a per-client dashboard in minutes, not days
Free to start
Connect your first dataset and build your first board on the free tier
Spend Pacing by Platform
How it works
From raw data to answers in three steps
Connect your data
From spreadsheets to enterprise databases, Kutta connects to your data wherever it lives: CSV, Excel, Parquet, and more.
Visualize it
Simply describe your data or what you want to track. Kutta builds a dashboard in seconds.
Analyze & uncover
Query in plain English, filter with precision, and turn raw data into real decisions.
Compare
How Kutta compares for marketing analytics
Most marketing teams weigh an AI analyst like Julius, a lightweight dashboard tool like Polymer, or enterprise BI like Power BI. Here’s where each fits.
| Kutta | Julius AI | Power BI | |
|---|---|---|---|
| Setup required | Upload a file or connect an ad account | Upload files per chat session | Data modeling + DAX learning curve |
| Output | Persistent live dashboards | One-off chat answers and charts | Reports built by trained analysts |
| Usage limits | No per-message metering | Message caps on every tier | Per-user licensing tiers |
| Non-technical friendly | Plain English is the primary interface | Yes, chat-based | Built for trained analysts |
| Price to start | Free tier · Pro $30/mo flat | Free tier capped at ~15 messages/mo | $14/user/mo + premium tiers for AI |
Competitor details as of June 2026; see full comparisons below for sources and where each tool wins.
Want the full picture?
If you need ad-hoc Python scripting and statistical modeling artifacts, Julius is genuinely good at that. If you need living dashboards your team checks weekly, unlimited questions, and big files that stay interactive, that’s what Kutta is built for.
Choose Kutta if…
- You ask a lot of questions, message caps change how you work, and Kutta has none
- Your files are big: multi-million-row CSVs and Parquet stay interactive in the browser
- You want dashboards that persist: a board the team checks weekly, not a chat to re-run
- You’re a team: flat pricing and shareable boards instead of a $375/mo workspace tier
Choose Julius AI if…
- You need arbitrary Python: custom statistical tests, model fitting, bespoke transforms
- You want generated artifacts like Excel files and slide decks from your analysis
- You work alone on one-off analyses where a chat transcript is enough
- You’re a student, Julius offers an aggressive 50% educational discount on paid tiers
Pricing — Kutta: Pro $30/mo. Julius AI: Free $0 · Plus/Lite ~$20–35/mo · Pro ~$45/mo · Business ~$375/mo.
Julius AI pricing as reported by third-party teardowns as of June 2026, tier names and prices have varied across sources; check julius.ai/pricing for current figures. Kutta pricing is current.
Kutta inverts those assumptions: plain English is the primary interface rather than a bolt-on, it runs fully in the browser on any OS, AI is included rather than capacity-gated, and pricing is a flat $30/month. For small teams whose alternative to Power BI was "no BI," that’s the actual comparison.
Choose Kutta if…
- Nobody on the team knows DAX, and nobody should have to learn it to see revenue by month
- You’re on Macs or Chromebooks: Kutta is fully browser-based
- You want AI querying without doing capacity-SKU math first
- You need a dashboard this week, not after a modeling project
Choose Power BI if…
- Your org is standardized on Microsoft 365 and Azure, the integration is unmatched
- You employ BI developers who know DAX and want deep modeling control
- You mostly need cheap viewer seats at scale, $14/user is hard to beat for consumption
- You need paginated, pixel-perfect operational reports
Pricing — Kutta: Pro $30/mo flat. Power BI: Pro $14/user/mo · Premium Per User $24/user/mo · Fabric capacity $262–$21K+/mo.
Power BI pricing per Microsoft published list prices as of June 2026 (Pro rose to $14/user/mo in April 2025). Fabric capacity costs vary by SKU and region; Copilot availability depends on capacity tier.
FAQ
Frequently asked questions
Yes. Kutta’s AI analyzes marketing data by running real queries against your connected ad, CRM, and spend data: building ROAS dashboards, surfacing CAC trends, and answering plain-English questions like "which campaign drove the most revenue last month?" Because answers come from queries on your actual data rather than a general-purpose chatbot’s estimate, results are grounded and repeatable.
Connect your ad platform data to Kutta or upload CSV/Excel exports, then describe what you want to track, for example "ROAS by channel for the last 90 days." Kutta’s AI builds the dashboard automatically. You can then refine it conversationally, no SQL or BI training required.
A common benchmark is 3:1 to 5:1: three to five dollars of revenue per dollar of ad spend, with 4:1 often cited as a healthy target. The right number depends on your margins and business model, which is why tracking ROAS by channel and campaign in one dashboard matters more than any single benchmark.
Bring each platform’s data into one tool. With Kutta you connect ad accounts or upload exports from Google, Meta, LinkedIn, and TikTok, and the AI assembles a unified spend dashboard, letting you compare pacing, ROAS, and CAC across every channel side-by-side instead of tab-hopping between platform UIs.
Blended CAC is total acquisition spend across all channels divided by total new customers in the same period. In Kutta, connect spend data from each platform plus your customer data, and ask for "blended CAC by month", the AI computes it across sources and lets you drill into the per-channel breakdown.
Ad platforms each attribute conversions using their own models and windows, so the same purchase is often claimed by multiple platforms, inflating their combined reported revenue versus your books. Analyzing platform exports next to your real revenue data in one dashboard reveals the gap and shows which channels genuinely drive incremental revenue.
Agencies use Kutta to build one live dashboard per client: connect the client’s ad accounts or drop in exports, let the AI generate the board, and share a link. Reports stay current as data lands, replacing the monthly cycle of manual exports and deck-building, without per-seat pricing punishing a growing client roster.
Explore more
Kutta works across your whole team
Your data story starts now
No setup. No SQL. No waiting.
No credit card required