Analytics that finally speaks iGaming.
Most analytics tools assume stable behaviour, predictable funnels and tidy datasets, almost the opposite of how iGaming works. Betting markets move by the second, casino sessions are shaped by volatility, affiliate traffic swings hourly. Gamblitude BI is built for those realities, so every department can explore data, monitor performance and act on what they see, without waiting in a BI queue and without negotiating whose version of NGR is the real one.
Generic BI answers in days. iGaming moves in seconds.
Legacy analytics stacks were designed for slower, steadier industries, and they break down here for predictable reasons. By the time a static report lands in an inbox, the data has already moved. The damage never appears as one line item, it accumulates as four quiet, recurring losses.
Requests pile up with the data department. A one-line question becomes a ticket, the ticket becomes a backlog item, and the answer arrives after the decision was already made.
Everyone else waits, guesses or rebuilds the numbers in a spreadsheet, and every spreadsheet quietly becomes another version of the truth.
Each department defines KPIs a little differently. Before anything can be decided, the numbers themselves have to be negotiated.
Sportsbook, casino, payments, CRM and affiliate data live in separate tools nobody fully trusts, so context is missing exactly when it matters most.
One data warehouse. One Metric Engine. One semantic layer.
Every module in the platform sits on the same data warehouse, uses the same Metric Engine and speaks through the same semantic layer. That is why analytics behaves consistently no matter who asks the question, or from which department.
One integration. One consistent data model. One ecosystem that moves at the pace of the business sitting on top of it.
IN ONE SUITE
ACTIVATES ALL OF IT
REQUIRED
OF EVERY KPI
WITH CONTEXT
Eight modules. One answer to every question.
From dynamic segments to an always-on AI analyst, every module reads from the same Metric Engine on the same data warehouse, so what you build in one place is instantly true everywhere else.
A drag-and-drop environment for building monitoring centres in minutes, no SQL, no engineering tickets, no delay between need and answer.
Understands your metrics, your attributes, your data model and the iGaming business underneath them all.
Continuously monitors the data for unexpected change, and each alert arrives with context, possible causes and recommended next steps.
Build written reports the same way you build dashboards, charts, text and commentary in minutes, shared in-platform or exported as polished PDFs.
A multi-metric visual workspace for the moments a standard dashboard is too narrow. Compare any KPIs across any dimensions, zoom, slice, build the narrative.
Define yearly, monthly or weekly targets for any KPI and track performance, trends and variance as the business moves.
Data Explorer works like a spreadsheet sitting directly on top of the data warehouse. Search by ID pulls up any player, bet, session, payment or transaction in one view.
Static or dynamic lists of players, games, affiliates, competitions or providers, built from any combination of filters, attributes and metrics.
What one day on the platform looks like
Not a feature list, a working day. Four moments, four teams, zero tickets to the data department. Every screen below is the actual product.
A campaign audience that builds itself
Three filters produce a dynamic list of players with high casino GGR, 1.25k members strong. It is pushed to the CRM via webhook and keeps recalculating on its own as behaviour changes. No ticket, no analyst, no stale export.
Any KPIs, one canvas
GA page views and total users go on one canvas next to registrations, sliced by day, month to date. Two clicks change the granularity from hour to year. The correlation that used to take a week of spreadsheet work is visible in minutes.
Plan vs actual, live
Every KPI tracks against its yearly, monthly or weekly target: new registered players at 94.52% of plan, deposits at 113.29%. The monthly heatmap flags March at -61.7% while there is still time to react, not at the quarterly review.
The report writes itself
The trading and risk report drafts itself from live data: 33.80M in net stakes, 1.69M bets, two liability spikes of 3.15M and 3.11M explained with charts and commentary. Writing took seconds, the review takes ten minutes.
Self-service that survives contact with real operations
THAT SHOULD TAKE SECONDS
Intelligence is one layer of the platform
Stop waiting for answers that should take seconds.
Let's walk through your current reporting stack and count what the queue, the reconciliation debates and the stale numbers are quietly costing you every week.
Book a demo now