Most operators can tell you how many players registered last month. Few can tell you which players are about to go dormant, which segments have never been touched by a retention campaign, or what a 5% improvement in attrition would be worth in hard revenue. VA Tech fixes that — using the player data systems, CRM, and lifecycle automation that the industry calls MarTech.
We build the data infrastructure, predictive models, and automated CRM systems that turn transaction logs into player intelligence — and player intelligence into incremental GGR. The operators who move earliest have the clearest competitive advantage. The ones who wait find out what it cost them at the end of the quarter.
Each capability is deployable independently or as part of a full-stack programme — depending on where you are in your maturity curve.
We build and deploy ML models that assign a daily attrition probability score to every active player — flagging at-risk accounts before they go dark. Our production models have achieved 87% accuracy in a West African sports betting deployment. You get a working model, not a prototype.
We divide your player base into behavioural cohorts based on recency, frequency, spend trajectory, and channel preference. Each segment gets a distinct treatment logic — not a mass message with a first-name personalisation field.
We configure and launch triggered communications across SMS, push, email, and USSD — based on player behaviour, not calendar schedules. When a player's spend drops or a high-value account goes quiet, the system responds within hours, not days.
We design and implement tiered loyalty systems calibrated to your player economics: thresholds that drive the right behaviour, rewards that carry perceived value, and mechanics that survive margin pressure. We build for sustainability, not just launch-day excitement.
Bonus spend is one of the largest cost lines in any gaming P&L. We configure your bonus engine with segment-specific eligibility rules, wagering conditions, and approval workflows — so your promotional budget drives retention and measurable LTV growth, not bonus arbitrage.
We map the behavioural signals that indicate a player is ready to move — from retail to digital, from single-product to multi-product, from low to high value — and build the trigger logic that acts on those signals at the right moment.
Before we recommend anything, we conduct a structured audit of your player data, CRM setup (or absence of one), channel mix, and current retention economics. We identify which segments exist in your data, which are being addressed, and where the measurable revenue gap sits. The primary deliverable: a player segmentation audit and revenue gap report — a quantified picture of what your current player base is worth versus what it should be worth.
We produce a full MarTech architecture specification tailored to your player base and market context. This includes the Central Data Hub design, data model, and CRM workflow blueprints — along with ML model specification, journey logic, bonus governance framework, and a measurement plan with KPIs tied to GGR impact.
We implement in sprints, with weekly output reviews so you can see progress against the baseline established in Step 01. Integration, testing, and go-live are structured to minimise disruption to live operations. We stay inside the operation for the first 90 days post-launch, monitoring model performance, adjusting trigger logic, and tracking revenue impact.
Our analysis of 360 million annual ticket transactions, 45 million USSD betting events, and 12 million app interactions identified five distinct player segments that had received no targeted retention or lifecycle communication. The problem was not acquisition — the digital player base existed and was growing. The problem was what happened after registration.
VA Tech's default engagement model is incentive-aligned: we earn a share of the incremental GGR we help you generate. If your digital revenue does not grow, we do not earn. That changes everything about how we work — and everything about the rigour we bring to the diagnostic.
All engagements are conducted under mutual NDA. We do not extract or retain operator data beyond the diagnostic period.
See our engagement models →Our revenue diagnostic gives you a quantified view of the gap in your current player base — the segments that exist in your data, which are unaddressed, and what closing that gap is worth in hard GGR. Before you commit to anything.