Case Studies

A one-person app that reached a million installs in a year

Growth had stalled, and campaigns optimized for installs kept bringing in people who never paid. We fixed the in-app tracking, switched the optimization to paying users and tested UGC videos for YouTube Shorts one after another, working out why each winner worked so the next one could beat it.

Read the full case study →

Ecosh · Ecommerce · Digitegu 2025 Winner

56% more revenue after Ecosh found out which ads really worked

GA4 said Meta drove 6% of revenue. Meta said 54%, Google said over half. We built a marketing mix model to find the real split, and Ecosh had its best year on record.

Meta revenue attribution

GA4 reported

MMM found

54%

Read the full case study →

Atom Mobility · B2B SaaS · Search Engine Land Finalist 2025

Lead scoring that cut the cost per customer by 56%

Only about one in ten demo requests was a real lead, and sales took weeks to judge each one, so Google kept finding the wrong people. We built an AI model that scored every lead within 24 hours and fed that back to Google Ads.

Cost per acquisition

Before AI

Base

After AI

−56%

Read the full case study →

Do you know which of your campaigns is actually working?

Book a free strategy call →

A one-person app that reached a million installs in a year

56% more revenue after Ecosh found out which ads really worked

Lead scoring that cut the cost per customer by 56%