01
It does not know who plays
Bets come in, money moves — but the player stays an identifier. No profile, no rhythm, no known value.
The African iGaming suite
ALATARA brings into a single system what a betting operator runs today across seven separate tools: player data, engagement, payments and compliance. Built for the realities of the African market — not translated from another one.
The problem
The same three fractures show up at every operator, whatever their size.
01
Bets come in, money moves — but the player stays an identifier. No profile, no rhythm, no known value.
02
The same message goes to the occasional punter and to the player who carries the revenue. One is annoyed; the other feels unrecognised.
03
The drop-off only shows months later, in a curve. By then the player is already with a competitor.
Today’s dead end
Designed for other markets, they arrive with the wrong instincts — and the operator spends its time compensating for what they never planned for.
The answer
Each pillar feeds the next. It is that continuity — not the features taken one by one — that produces the result.
01
Get the data in without launching an IT project: auto-adaptive import of a back-office export, a connector, or a file drop. A sandbox to try things without ever touching production.
02
The playing profile is derived from actual play — favourite sports, staking rhythm, bonus sensitivity. Churn-risk and expected-value scores, segments that recompute on their own.
03
Campaigns and journeys over WhatsApp, SMS, email and push. Bonuses, gamification, A/B tests, VIP programme — and a screen that says what to do today, in order.
04
Mobile Money reconciled gap by gap, compliance enforced rather than displayed, affiliation and agent network measured, reports sent without manual extraction.
The platform
A complete back-office, translated into four languages, where each module answers a question management actually asks.
The screen the VIP manager, support and compliance open first: play, payments, messages and regulatory file in one place.
WhatsApp, SMS, email, push and on-site messages. The operator describes an intent; the platform executes continuously.
Mobile Money and card in a single integration, with settlement reconciliation and gap detection, operator by operator.
Orchestrated KYC, self-exclusion, cooling-off periods, deposit and time limits. A protected player is removed from every solicitation, automatically.
An abandoned deposit, a withdrawal left sitting, a session going wrong: the reaction leaves the moment the fact happens, not the next day.
Funnels, cohorts, revenue attribution — and the export of your data into your own tool, without going through us.
Each operator gets an isolated space: its brand, its languages, its currencies, its database. Opened with one command.
Introducers, agents and points of sale tracked on the facts received: volume, quality of the players brought in, activity per counter.
One screen answers, section by section, “what do my data actually make possible?” — and says how to deliver what is missing.
The differentiator
None of these decisions is bolted on afterwards: they sit in the foundation of the product.
Trust
A head of operations does not sign on features. They sign on the trust they can place in the system.
The principle: an operator must be able to open ALATARA to its regulator with nothing to prepare — and leave whenever it decides, with its data exportable to its own warehouse.
Adoption
The barrier to entry is the market’s real brake. That is where ALATARA stands out most.
01
A connection pack, an integration contract served by the platform itself, and a sandbox. Nothing to write on the operator’s side to begin.
02
A back-office export as it is, a connector, or a file drop. What is refused is refused with a readable reason, never in silence.
03
The platform states what your data already make possible, what they do not yet, and how to deliver what is missing.
04
One segment, one message, one channel — and the measure of what it actually produced.
And nothing comes in silently: what the platform refuses to ingest, it refuses with a readable reason. A figure that cannot be established is never shown as zero.
Let’s talk
The demonstration starts from your back-office export, exactly as it comes out today. In one session you know what the platform can already do with your data — and what is missing.
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