Beaconsfield Labs
Stop optimising for clicks. Start optimising for revenue. Adaptive algorithms that reallocate your ad spend toward what actually drives your business outcome.
The Team
Serial co-founders who previously built Lern-Fair — Germany's largest free tutoring platform. $4M raised, 30,000 users, 20+ national awards. Now applying the same intensity to marketing experimentation.
Co-Founder & CEO
PhD in Biostatistics, University of Cambridge. Published in Biometrics and Statistics in Medicine. Worked with Novartis on adaptive trial design. 20+ international talks including Harvard and JSM. Leads product, algorithms, and customer acquisition.
Co-Founder & COO
MBA, Cambridge Judge Business School. Co-founded Lern-Fair — scaled from 2 founders to 10+ FTE, raised $4M, 30,000 users. 2x Top 40 under 40 (Capital Magazine). Leads business development, customer acquisition, and go-to-market.
The Research
Rooted in Lukas's doctoral research at Cambridge. The same Bayesian adaptive methods used to allocate patients to treatments in clinical trials — now allocating your ad spend to campaigns that actually convert.
Dynamically shift budget towards better-performing campaigns during the experiment — not after. Less spend wasted on losing variants.
Account for known confounders — device, geography, time of day — that classical A/B tests ignore, giving you cleaner and faster results.
Every method we use comes with formal error control — Type I error, power, and confidence intervals that hold up under adaptive designs.
Current Focus
Google Performance Max and Meta Advantage+ optimise for their metrics — clicks, impressions — inside a black box. You care about contribution profit. We reallocate your budget toward what actually drives revenue.
BF Labs connects to your ad platforms, continuously experiments across campaign assets, and automatically shifts spend to what drives your real business outcome — revenue, not clicks.
Platform algorithms optimise for proxy metrics inside a black box. One company spent €1.5M on app installs that Google attributed to Nigeria. You deserve transparency.
Budget allocation across campaigns is still done manually. No analytical tooling exists to reallocate paid spend toward your true business outcome.
Platform decides allocation based on its own incentives
Budget shifts to campaigns driving your actual business outcome
We're onboarding early customers now, starting with Google Ads. Join the list for product updates and early access.
No spam. Unsubscribe anytime.