Sena Decision AI shows casino teams why players choose a property, which offers bring them back, and what wins them from a rival. Every figure traces to a player answer, a property photo, or the team's own files.
Gaming analytics reads play, spend, and trip data from the property's own systems. Players choose a casino before they arrive, weighing amenities, offers, distance, and the rival down the road.
The player database shows each member's trips and spend. The reason a member plays elsewhere sits with the player.
Sena:Sena captures consented input from players on why they chose a casino and what would make them switch, by segment and market.
Promotion reports show redemptions by offer. Part of that play comes from regular players who would have come anyway.
Sena:Sena captures players' answers on whether an offer brought them back, beside the team's own promotion files.
Market reports list the casinos in each region. Each property's draw rests on its dining, hotel, entertainment, and condition.
Sena:Sena captures geo-verified photos of the signage, amenities, and condition visible at each competing property a question names.
Gaming analytics covers the floor, and Sena adds the player's reason to four decisions.
Players state which casinos they compared, what decided it, from amenities to offers to distance, and what would make them switch, by segment and market.
Decides:Which amenity, offer, or service fix wins players back.
See growth decisions →Sena reads the team's promotion files beside players' answers on whether an offer brought them back or rewarded a trip they had already planned.
Decides:Which offers earn next quarter's marketing budget.
See marketing decisions →Players state which rewards they use, which they value most, and which rival program would win them, by segment and market.
Decides:Which tiers and rewards to keep, add, or retire.
See product decisions →Players in the target market state where they play today, how far they travel, and which amenities they want. Sena captures geo-verified photos of the signage, amenities, and condition visible at competing properties around each candidate site.
Decides:Which market or site gets the next investment.
See strategy decisions →Sena ties every figure to the answer or photo behind it, so a team checks it against the casino data analytics it already runs.
Each property reading carries its photo, location, and date.
Each reason comes from a player who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.
Player retention starts with two counts: the active players on the loyalty base and the share who name a rival casino as their main choice. The team enters both and checks that share against player answers in the market, by segment, with the rivals named most.
The players at risk calculator shows the players a rival can win and the monthly revenue at risk.
A walkthrough runs Sena on one player segment in one market, from player answer to the offer decision.
Pick the closest fit, and the walkthrough starts from that team's question.
Casino marketing on why players choose a property and which offers bring them back.
Book a marketing walkthrough →The casino loyalty program players value, and the rewards that hold them.
Book a loyalty walkthrough →Where the next property or expansion goes, read from players and rival properties.
Book a strategy walkthrough →Gaming analytics teams adding the player's reason to their own play data.
Book an analytics walkthrough →Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Player choice | Trip and spend data from the player database | Players state why they chose a casino or a rival |
| Promotions | Redemptions by offer | Players state whether an offer brought them back |
| Loyalty program | Tier movement and point redemptions | Which rewards players value and would switch for |
| Rival properties | Casino market reports by region | Photos of each named rival's signage, amenities, and condition |
| Auditing | Play, offer, and rival reports matched by hand | Each player figure links to its answer or property photo |
Talk to the Rwazi team about one player segment, one market, and the decision on the table this quarter.