Ask your data a question. Get a report tied to spend and sales.
Reporting runs on the whole warehouse — continuously synced from the SaaS applications you already have — through a natural-language interface.
Agencies present data in a way that aligns with their incentives.
Understanding where the friction is takes a lot of data analysis and data engineering work, and that burden lands on internal teams. Finance ends up in Power BI, marketing ends up in five dashboards, and nobody sees the whole funnel.
What you can see.
Full funnel
Impression, click, call, appointment, estimate, sale — built in by default.
Spend to sold project
Every dollar tied to the outcome it produced, not the lead it bought.
Every experiment
Which variant, which creative, which page — and what it did to conversion.
Every call
Transcribed, classified by intent, with expected value.
Forecasts
Built-in forecasts finance can query in natural language.
Ask anything
Plain-English questions on the whole warehouse.
What it replaces.
Internal data engineering
Built-in sync
Internal data analytics
Ask in plain English
Syncing with agency data
One warehouse
Multiple data storage systems
One system of record for marketing
Five dashboards
One full-funnel view
The monthly agency deck
Reports on demand
FAQs
build status · not part of the page
Reporting & Attribution — 100% of copy written
- 01repo-hero
State the promise in one line.
- 02repo-problem
Name the failure mode: reporting shaped by incentives, built by hand.
- 03repo-what
Break reporting into what they can actually see.
- 04repo-replaces
Contrast with what they run today.
- 05repo-faq
Objections too specific for the page body.
rendered from content/site.json · generated from ngen_website_content.xlsx · re-run scripts/xlsx_to_json.py after editing the workbook