◆ THE COMMERCIAL DECISION ENGINE · iGAMING
Fisher-Brown Partners builds and governs SignalOS™ — a decision engine that triangulates your marketing, CRM, BI and finance signals into one auditable investment call per channel, per week: accelerate, defend, or cut.
◆ THE ALLOCATION PROBLEM
Marketing says
"CPMs are down and conversion is climbing — we should be scaling this week."
CRM says
"Second-deposit rates are slipping. Buying more of these players is buying churn."
Finance says
"Bonus cost is eating the margin. On NGP, this channel failed the month."
Every signal is true. Each points somewhere different — and the budget follows whoever argued best. SignalOS replaces the argument with a governed decision: the same evidence, weighted by reliability, resolved by the same rules every week, with the working shown.
◆ SIGNALOS™
Increase investment where the weighted evidence supports profitable growth — within a defined range, never past the weekly cap.
Maintain position where the evidence is mixed. Holding is a decision, and it gets recorded like one.
Reduce and reallocate where signals turn against the channel — or immediately, whenever Finance fails the margin gate.
SignalOS is a decision engine, not a dashboard. Each week it compresses around 40 commercial data points — pulled from your marketing platforms, CRM, BI and finance reporting — into eight reliability-weighted signals, and those into one decision per channel, with a suggested budget range and a written rationale. The narrowing is the product. Anything that only adds numbers adds noise.
Reliability is weighted, not assumed. High-confidence sources count double; weak ones count half; missing data is excluded and flagged — never silently defaulted.
The margin gate is absolute. A named individual in Finance passes or fails each product-market weekly. A FAIL forces a cut, whatever the platforms claim. A missing sign-off blocks the recommendation entirely.
The engine is deterministic. Same inputs, same decision, every time — which is what makes it auditable to a board, and safe to place under AI automation when you're ready.
◆ GOVERNANCE, BY CONSTRUCTION
◆ HOW WE WORK
We audit your data sources against the eight signals and grade the reliability you can actually achieve — before you commit to a build.
Your CMO and CFO set the commercial rules the engine governs within — allowable CPA, payback, risk mode — and name the people who will operate it.
We configure your engine to your channels, markets and sources, then prove it on your historical data, end to end.
Twelve trailing weeks captured before go-live — so every result the engine claims can be measured against what came before.
Your team trained on the weekly cycle; the first live decisions made with us in the room, including the first time the engine disagrees with instinct.
A formal 90-day review against your baseline — then ongoing governance: quarterly recalibration, decision audits, and the calibration record your board can point to.
Ready to automate? SignalOS is designed for agentic operation from day one. Your engineers build to our published integration specification; we validate and certify the implementation at every phase gate — so the machine proposing your budget moves is provably running the same rules as the workbook your board approved.
"You set the intent. We keep the engine calibrated to it."
Quarterly reset
Thresholds and signal derivations recalibrated against verified outcomes, with a signed change record of what moved and why.
Decision audit
The log sampled each quarter: were recommendations followed, overrides documented, the margin gate honoured — before drift becomes cost.
Annual health check
The full engine verified against its acceptance criteria — essential once any part of the pipeline is automated.
Cross-market benchmark
Your signal patterns and decision mix set against the anonymised picture across governed operators — context no single operator can build alone.
◆ TWO PRACTICES
◆ PRACTICE ONE
Led by SignalOS™. Diagnostic, engine build, training, supervised go-live, and ongoing stewardship — the governance layer for how your marketing capital gets deployed, manually or under automation.
◆ PRACTICE TWO
Hands-on planning and buying across programmatic, paid social and search for regulated markets — execution run by the same discipline the engine demands: margin first, evidence always.
◆ WHO YOU'RE WORKING WITH
Fisher-Brown Partners is the practice of Dale Fisher-Brown — a marketing leader who has run large-scale acquisition portfolios inside tier-one operators across regulated European and Latin American markets, most recently in a senior role at Superbet.
SignalOS exists because the allocation argument — marketing's optimism against finance's caution, refereed by whoever spoke last — was the most expensive recurring meeting in every operator he worked in. The engine is that meeting, replaced: the same evidence, the same rules, every week, with the working shown.
Chartered
FCIM Chartered Fellow, Chartered Institute of Marketing
Recognition
Powerlist 100
Markets
Regulated EU & LatAm iGaming
Background
Senior marketing leadership, incl. Superbet
◆ START WITH THE DIAGNOSTIC
The diagnostic audits your sources against the eight signals and tells you — before any build — what reliability you'd achieve and where the gaps are. Two weeks, a written report, and a straight answer.
Thank you — I'll come back to you within one business day to arrange the diagnostic.
Two weeks. A written report. A straight answer.