Online finance university scales paid channel ROMI by 300–500%
EZCA overhauled SF Education's full marketing stack — analytics, SEO, paid search, and CJM — lifting ad effectiveness 40% and scaling ROMI to 300–500% across paid channels.
SF Education is an online university specializing in finance, data analysis, and programming. EZCA ran a full marketing transformation: end-to-end analytics implementation, SEO audit and optimization, paid search restructuring, CJM mapping, and a financial model for investor reporting. Paid search efficiency improved 40%, SEO-driven campaign effectiveness rose 30%, and ROMI across paid channels reached 300–500%.
SF Education's paid marketing was generating leads without clarity on which channels drove actual course purchases.
The online education market is performance-sensitive: CPL matters, but cost-per-paying-student matters more. SF Education was running campaigns without end-to-end visibility into how leads converted to enrolments. Without that data, optimizing toward actual revenue was impossible. The site's technical SEO was also suppressing paid campaign performance — a compounding problem that inflated effective CPL. Any edtech team scaling paid acquisition without attribution to course revenue will recognize this: you can run efficient ad campaigns and still have terrible unit economics.
EZCA rebuilt the entire measurement and optimization infrastructure before scaling a single campaign.
The engagement started with a full audit of all advertising channels. EZCA then built end-to-end analytics that tracked the complete funnel: from ad impression through site visit, lead form, and through to paid course purchase. This gave the team — and the client's investors — visibility they'd never had. A financial model was built specifically for investor reporting, showing how ad spend translates into revenue and returns. CJM (Customer Journey Mapping) was completed to understand where users dropped off. SEO optimization of the main site drove a 30% improvement in paid campaign effectiveness — demonstrating that technical site health directly impacts paid performance. Paid search campaigns were restructured and optimized toward paying customers, not just leads. HADI-framework hypothesis testing was deployed across all departments for fast feedback loops. A creative testing process was built so the client could maintain results independently after the engagement.
SF Education moved from guesswork to a fully attributed marketing machine — and scaled ROMI to 300–500%.
Paid search efficiency improved 40% after restructuring. SEO work added 30% effectiveness to paid campaigns by improving the site environment campaigns landed on. ROMI across scaled campaigns reached 300–500% — a range the client can sustain using the testing processes EZCA handed off. The financial model built for investors gave the leadership team a credible view of marketing's contribution to business returns. The engagement ended with a self-sustaining optimization process, not a dependency on ongoing agency involvement.
Key metrics from this engagement
- Analytics & Attribution
- SEO
- Paid Search
- CRO
- Performance Marketing
- Yandex.Direct
- Google Ads
- SEO
- Duration
- 2023–2024
- Stage
- Scale
- Region
- CIS