Industry, Data & AI

Making complex technology immediately understandable.

With 15 years of B2B SaaS marketing experience, I help data & AI companies translate their technical complexity into a clear business value proposition, where the messaging often stays too technically focused.

Let's talk about your Data & AI marketing

SECTOR MARKETING SPECIFICS

In data & AI, technology is rarely the problem — translating it into business value is.

Two audiences, two languages

Technical convinces data teams, business convinces leadership — rarely the same message.

Proof outweighs promise

A market burned by unmet AI promises demands quantified use cases.

Complexity gets translated, not hidden

Simplify without distorting the technology, without falling into jargon or vagueness.

COMMON MISTAKES

The reflexes that lose a data or AI buyer

Technical prowess

A message centered on technical prowess rather than the business problem solved.

No quantified case

No quantified use case to reassure buyers burned by unmet promises elsewhere.

"AI" as the argument

"AI" used as a selling point in itself, with no real differentiation behind it.

Blurry segmentation

A poorly segmented target between technical and business decision-makers, with a single message for both.

SECTOR REFERENCES & LOGOS

A data marketing function rebuilt from scratch after a reorganization

AI SaaS for supply chain

Marketing rebuilt from scratch

Your logo here

Where to start based on your marketing maturity

Audit

Diagnose messaging and funnel before investing in a value proposition that's still unclear.

learn more →

Part-time

Carry the translation of technical complexity into business value over the long term.

learn more →

Transition

Maintain go-to-market momentum during a leadership gap or to launch a team still being built.

learn more →

Is your technology clearer than your messaging?

30 minutes to test whether your AI value proposition convinces a business buyer, not just a technical expert.

Book a slot