Who is OPTIMUM best suited for?

Growth-focused digital companies across Europe with validated products and ambitious growth goals — including e-commerce, apps, gaming, fintech, travel, and content. The work is a partnership around the acquisition system — not a one-off media setup.

What acquisition channels do you work with?

Google Ads, Meta Ads, Instagram, TikTok, Twitter, Pinterest, and Microsoft Advertising, connected to analytics, creative testing, lifecycle, and automation. The stack is chosen against the business, not against a channel menu.

Do you work with existing marketing teams?

Yes. Many engagements sit alongside an internal team or a specialist agency. We are structured to complement, not to replace judgement inside the company.

How do you measure success?

Against acquisition economics and decision quality: visibility, efficiency, and whether the system can absorb more investment. We do not sell guaranteed revenue lifts.

How long does it take to see improvements?

Diagnosis and measurement work often surface issues in the first weeks. Structural change takes longer. We will not invent a timeline that the data cannot support.

Do you require a minimum growth investment?

We work with companies already investing in growth. Fit depends on product, goals, and whether a system can compound — not on a public minimum published as a marketing claim.

SaaS Growth · 7 min

Attribution challenges in SaaS growth

How to use attribution as a decision tool when customer journeys are long and noisy.

Written by OPTIMUM Growth Team

Performance marketing specialists helping European companies build scalable customer acquisition systems.

Reviewed by OPTIMUM Strategy & Growth Team

Key Takeaways

SaaS attribution problems are usually tracking and definition problems first.
Choose a stable model and use it to allocate — not to win arguments.
Document assumptions so marketing and finance share one picture.

Long journeys need a decision model

Attribution problems in SaaS are usually a tracking and definition problem first. Choose a stable model, document assumptions, and use it to allocate — not to win arguments.