How do I make the best use of AI in my marketing?
You don't need a big marketing team anymore.
You need one data system, and one operator.
Not sure you can trust your numbers?
Okay, got it. I will take a look.
Found it. Two tools were counting the same sale. It's fixed now.
Perfect, thanks.
Teams
Big marketing teams are no longer needed
It used to take a department: a specialist for every channel, analysts, someone to build the reports. AI does that work now. A small team with its own data and a connected AI competes with teams ten times its size.
Tools
Tools are losing their value
A scheduler, a reporting tool, a keyword tool, a dashboard for every channel. You paid for them and learned to operate them. AI is taking over their work, and each of them is worth less and less.
What you need
One data source for your connected AI
What keeps its value is your own data. Put it in one place, connect an AI to it, and that one tool does the work the others did.
Reports
There is no reason to build reports by hand anymore
When your data is in one place and the AI is connected to it, a report is a question you ask. Nobody should spend a Monday copying numbers into slides.
Stay human
One operator between you and the machine
AI makes it easy to produce numbers and hard to know which ones to trust. That is why there is a person between you and the machine: someone who knows your business, answers when you ask, and stays accountable for whether the numbers are right.
You run your marketing. Your operator runs your marketing data.
Become smarter about your marketing
That is what Marketing Intelligence is for.
See Marketing IntelligenceWho’s behind it
Most people in this field speak either marketing or engineering. I speak both - ten years leading marketing teams as a CMO, and even more years building software as an engineer. That's intellix.one: your data built the way an engineer builds it, run the way a marketer thinks - so your team can just do marketing.
- Dominic Thimm, founder
Read the full storyRecent projects
Work we've shipped lately
How Sendify went from 40% to 99% trustworthy data
Every tool reported a different number, so spend decisions stalled on data nobody trusted.
How Forvya got reliable data without over-engineering it
About to bolt on enterprise analytics they didn't need, to answer five simple questions.
How Mood kept its data trustworthy across a 10-tool stack
A 10-tool, multi-domain setup nobody could see into - a dropped event took days to find.
Talk to a human
A call with a real person. We listen, look at where your marketing stands, and tell you what we would do.
Schedule a call