Connect a CSV, spreadsheet, database, or app — then ask for any report in plain English and get charts, dashboards, and shareable answers in seconds. No SQL required.
An AI report generator turns raw data — a CSV, a spreadsheet, a database, or a connected app — into a finished report without manual charts or SQL. You describe the report you want in plain English, and the AI writes the query, picks the right visualisations, and assembles the answer. Daymark does this across all your sources at once, so one question can join product, marketing, and revenue data into a single report.
Connect sources, ask, and save to share with your team.
Start with CSV or connect Google Sheets, PostgreSQL, HubSpot, and more.
Use natural language to get charts and answers instantly.
Pin answers to a dashboard that stays updated when you refresh data.
One AI report generator for every source — pick a starting point and connect in minutes.
Blend Google Analytics, Ads, and Search Console into one channel-performance report.
ExploreTurn HubSpot deals into stage-by-stage pipeline, win-rate, and forecast reports.
ExploreUpload a CSV or connect Google Sheets and get a report — no formulas or pivot tables.
ExploreAsk questions against PostgreSQL in plain English and get charts back. No SQL required.
ExploreReport on clicks, CTR, and average position straight from Google Search Console.
ExploreConnect Shopify and ad platforms to report on real revenue, ROAS, and margin.
ExploreFrom revenue attribution to pipeline analysis, Daymark connects your tools and gives you insight-ready answers for the decisions that matter most.
Which channels are actually driving revenue?
"Show me sessions and revenue by source/channel for the last 30 days"
Reallocate budget to channels that generate revenue, not just traffic. Stop optimizing for vanity metrics and focus on conversion-backed performance.
Save reports to a dashboard, share a link, and collaborate from a single source of truth. No more stale Slack links, no more version confusion. Everyone works from the same numbers.
PostgreSQL
Google Sheets
HubSpot
Google Analytics
Google Ads
Meta Ads
Google Search Console
ShopifyConnect your databases, ad platforms, CRM, and analytics tools in minutes. No data migration or complex setup required.
See reporting workflows across GTM, product, and ecommerce teams.
Prioritise SEO opportunities by connecting Search Console data to real conversion metrics. Know which pages to update next.
See how it worksConnect Google Analytics with your revenue data to separate high-converting channels from high-volume ones that never close.
See how it works
Analyse your HubSpot pipeline stage by stage to find where deals stall, which rep patterns win, and where to focus sales coaching.
See how it worksStart with CSV if needed, then connect live sources for always-updated reports.
Manual reporting
Daymark AI reporting
Keep access read-only and scoped while AI context stays limited to schema metadata.
Access
Daymark uses the minimum scopes required for every integration and never writes to your production systems. All connectors are read-only by design.
AI safeguards
Our AI agents work only with schema metadata and limited query results to generate insights. Your underlying data is never used to train models.
With Daymark you can generate marketing, sales, pipeline, financial, SEO, product, and ecommerce reports from the same workspace. Because it connects multiple sources at once, a single question can join marketing spend, CRM pipeline, and revenue into one report — not just a chart from one file.
Yes. You can try Daymark free for 14 days with no credit card required, upload a CSV or connect a live source, ask questions in plain English, and save reports to a shareable dashboard. We won't charge you automatically when the trial ends. The paid plan is a flat $100/month for your whole team, with every integration included and no per-seat pricing.
Yes. Upload a CSV (or export from Excel) and Daymark builds the report for you — no formulas, pivot tables, or chart formatting. You can also connect Google Sheets or a database so the report refreshes automatically instead of re-uploading each time.
General chat tools can format text, but they don't securely connect to your business data. Daymark runs your questions against data synced from your connected sources, so the numbers come from your systems — not a model's guess — and every report refreshes on your sync schedule and can be shared with your team.
Daymark doesn't generate or guess numbers. It pulls data directly from your connected sources — Google Analytics, HubSpot, PostgreSQL, etc. — and runs analysis on that synced data. The AI generates the logic and interpretation, not the underlying numbers. SQL users can inspect every reasoning step in the 'Steps' tab before sharing.
Yes — that's the core use case. Ask a cross-source question like 'which ad channels drove the most pipeline last month' and Daymark joins your Google Ads spend with HubSpot data automatically. No manual spreadsheet merging or SQL joins required.
Reports are based on the latest sync from your connected sources — not a live query. Data freshness depends on your sync frequency. If you need up-to-the-minute accuracy for a critical decision, check when your source last synced before sharing the report.
It depends on your use case. Daymark is built for GTM and product teams who need self-serve answers fast — not for building company-wide BI infrastructure or pixel-perfect dashboards. If your team spends more time requesting reports than using them, Daymark is the faster path.
No. Daymark's AI only accesses your schema metadata and the query results needed to answer your question. Your underlying business data is never stored by Daymark or used for model training.
No SQL knowledge required. Ask questions in plain English — Daymark generates the query logic and visualisations automatically. If you are technical, you can still view and validate the generated steps.
