Build versus buy
Build it yourself, or start from nine models that already run.
The most common alternative to GAMWIT is not another vendor. It is your own data team. Here is the comparison, line by line: where building wins, where it costs a year, and what GAMWIT leaves your team free to do.
Building a model from scratch takes 16 or more weeks. The GAMWIT models are already built; connecting your data takes 2 to 4 weeks.
GAMWIT's published figures
Why it matters
Rebuilding the models every operator needs is a year of your best people's time.
Churn, VIP and bonus abuse detection are the same problem at every operator. GAMWIT already ships them. What your team builds should be the model that makes you different.
See the comparison, line by lineUp to 85%
lower setup cost than building the same stack in-house.
Up to 50%
lower ongoing cost. The models run and refresh on their own.
500+
player signals ready on day one, instead of engineered model by model.
Source: GAMWIT's published figures.
Eight criteria
The comparison, line by line
Your own team building and running the same models, against what GAMWIT publishes and what a licensed account shows.
Time to the first live model
Building in-house16 or more weeks to build one model from scratch, before anything reaches the CRM.
GAMWIT2 to 4 weeksLive on your data, with all nine models available on the same connection.
Who you need
Building in-houseData scientists, analysts, engineers and business experts, hired, kept, and busy on data plumbing.
GAMWITYour business usersMarketing, Risk and Compliance teams read the output directly. Your data team keeps its time for the problems nobody sells a model for.
Setup cost
Building in-houseThe team above, plus the warehouse work before a single prediction lands.
GAMWITUp to 85% lessGAMWIT's published figure against building the same stack.
Ongoing cost
Building in-houseRetraining, monitoring, and the person who understands the model moving on.
GAMWITUp to 50% lessModels run and refresh on their own once connected.
Knowing when a model has gone stale
Building in-houseYou build the drift monitoring too, or you find out from the campaign results.
GAMWITBuilt inEvery model watches the signals it reads and recommends retraining when enough of them have drifted.
What you can show the business
Building in-houseWhatever your team has time to build after the model itself.
GAMWITIncludedResults, data analysis and drift views for every model, ready-made gaming dashboards, alerts on the KPIs you set, and self-service BI.
Signals behind each prediction
Building in-houseEngineered by your team, then engineered again for the next model.
GAMWIT500+ readyGAMWIT's Feature Factory, built over decades of gaming data work and shared across the models.
If you change CRM or platform
Building in-houseDepends on how tightly the models were built into the old one.
GAMWITPredictions stayGAMWIT reads your data, not your CRM. The CRM can change and the models keep running.
These are GAMWIT's published figures. A walkthrough checks them against your own players and your own team's plan.
Book a walkthroughThe fair part
Where building wins
If your edge is a model nobody sells, built around a product, a market or a game mechanic that is only yours, build that one. It deserves your best people.
What it does not deserve is those people spending a year rebuilding churn, VIP and bonus abuse detection that every operator needs and GAMWIT already ships. That is the split: GAMWIT carries the nine models the industry shares. Your team carries the one that makes you different.
When the data team says
Three objections you will hear, and the answers
"We have a data team. We will build it."
You can, and GAMWIT does not replace that team. It gives them nine working models with drift monitoring on day one, and frees the months they would have spent rebuilding churn, VIP and bonus abuse detection for the problems that are unique to you.
"Our own models will fit our data better."
GAMWIT's models train on your data too. Every model learns from your own history and shows how it tested before you switch it on. What you skip is the year of feature engineering behind that first result.
"We need to see it work first."
Sign up, load sample data or your own, train a model and download the at-risk list the same afternoon. No demo call needed before you decide.
Day one
What your team gets on day one
- Nine modelsChurn, lifetime value, frequency, early VIP, game recommendation, hold percentage, bonus abuse, responsible gaming and AML.See it
- A report per modelHow it tested, the data behind each score, and a drift warning when your data changes. Before you switch it on, and after.See it
- DashboardsReady-made gaming dashboards, one screen per level of the business, from executive summary to floor activity.See it
- Alerts and Self-Service BIAlerts on the KPIs and limits you set. Self-service BI so your team answers its own questions without a ticket.See it
Run the comparison yourself
Train your first model this afternoon. Then compare it with your team's estimate.
Free trial, no demo call. Load sample data or your own, train a model and read its predictions in about 15 minutes.
Recognized by the industry.
FinalistCompliance Innovator of the YearVixio · 2024
NominatedCompliance Technology ProviderEGR North America · 2024
NominatedData and AI PartnerEGR B2B · 2022 · 2023
Keep your data team on the work only they can do.
GAMWIT carries the nine models every operator needs. Connecting your data takes 2 to 4 weeks.