Why should I take a dip in the broch?
Better value for money, data you own outright, and AI built in from day one.
We spent twenty years wanting marketing data this simple. Nobody built it, so we did.
What makes broch different.
Better value for money
One engagement replaces a pile of reporting tools, rented connectors and hours of manual number-pulling, without a salary or anyone to manage. It should pay for itself, and we keep a running list of what it replaced and what that saved.
Data you own, not rent
Everything in the stack transfers to you, from the storage buckets to the dashboards. Walk away and all of it stays yours, still running. Most of the industry rents you access to your own numbers.
Built for AI from day one
Most stacks were built for dashboards, and had AI added to them later. This one was built to be read by a machine as well as a person: every number defined once, the full history kept, and the quirks written down beside the data.
The other ways to spend the money.
broch is a search engine for your business. The brain indexes every document you feed it, and the loch underneath holds every channel's history, clean and joined, traffic to conversion. Ask a question and the AI searches both at once. Hold the options below against that.
Reporting tools
Looker Studio is the free default, and for Google channels it's easy. Step off Google and you're paying monthly per source, the charts query the platforms live, and nothing is stored. History is whatever each platform keeps, every chart invents its own roas, and when you leave you keep nothing.
Platforms
Your data collected, stored and charted for a flat fee, live in an afternoon. Collection was never the hard part. When every ad platform claims the same conversion, a product doesn't reconcile them against what you actually got, an engineer does. The leading platform sells a data-team add-on at ten times its platform fee. The add-on is the real product. We are that team, embedded in yours.
Your own hire
Hiring your own data engineer costs more than the retainer, takes months to get right, and then needs managing. The tools still need choosing and running. We're the someone.
AI on the mess
Connect Claude or ChatGPT straight to the pile: over the platform APIs, as exports dropped into a project, or through a drive connector. Useful for exploring, and we encourage it. But the APIs trim their own history and can't join across channels. Exports go stale the moment they land. A drive connector sees one person's copy of the chaos, at one person's access level. Even when your documents make it in, they arrive as loose files: no index, and no clean numbers to read them against. However it gets there, the model reinvents the definitions with every answer, and answers just as confidently when it has double-counted a conversion. A better model doesn't fix that. A clean layer underneath does.
How the options compare.
See it against your own numbers.
Tell us where your data lives and what you want AI to do. We'll show you what broch would replace, starting with a free one-hour discovery call.