Data dictionary crm_value_segment category · 4 bands
A new KPI: each player's value band (VIP, High Value, Core, Negative) on profit after every bonus is deducted.
Built from net_revenue_12mbonus_refamt
crm_value_segment Cross-Vertical Loss Makers
Ellis
Representative customer
5,910 players · 12.1%
Casino-Only High Rollers
Selena
Representative customer
5,550 players · 11.4%
Late-Payback Sports Bettors
Renata
Representative customer
4,610 players · 9.5%
Quick-Return Punters
Elias
Representative customer
4,300 players · 8.8%
Patient Sportsbook Mainstays
Corinne
Representative customer
3,280 players · 6.7%
Both-Books Regulars
Heath
Representative customer
2,720 players · 5.6%
Same-Day Casino Loyalists
Daphne
Representative customer
2,280 players · 4.7%
Unpromoted Slot Faithful
Julian
Representative customer
2,220 players · 4.6%
Slow-Burn Casino Earners
Margot
Representative customer
2,060 players · 4.2%
Fast-Payback Sports Bankroll
Emilia
Representative customer
1,880 players · 3.9%
Never-Promoted Bettors
Marina
Representative customer
1,830 players · 3.8%
Weekend Fixture Regulars
Quinn
Representative customer
1,790 players · 3.7%
Slots-Only Slow Burners
Ruby
Representative customer
1,780 players · 3.7%
Week-Cycle Casino Players
Nolan
Representative customer
1,760 players · 3.6%
Unbonused Crossover Players
Grace
Representative customer
1,710 players · 3.5%
Two-Book Weekend Dabblers
Magnus
Representative customer
1,260 players · 2.6%
Sportsbook Purists
Martin
Representative customer
1,140 players · 2.3%
Small-Stakes Dual Dabblers
Viola
Representative customer
920 players · 1.9%
Casual Sports Faithful
Jonas
Representative customer
860 players · 1.8%
Self-Funded Casino Core
Darren
Representative customer
840 players · 1.7%
Industries · Gaming & Casinos
Casino, sportsbook and iGaming operators sit on vast streams of play, deposits and bonus data, and the players that matter rarely line up with the tiers anyone wrote. Neuralift builds an AI model of your player base from your own data, finds the segments inside it, and keeps it current as play changes.
Every segment comes with a field guide: who they are, how you'd recognise them, and what sets them apart from everyone else.
Use the arrows, swipe, or pick a segment on the map.
Cross-Vertical Loss Makers
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Casino-Only High Rollers
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Late-Payback Sports Bettors
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Quick-Return Punters
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Patient Sportsbook Mainstays
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Both-Books Regulars
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Same-Day Casino Loyalists
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Unpromoted Slot Faithful
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Slow-Burn Casino Earners
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Fast-Payback Sports Bankroll
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Never-Promoted Bettors
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Weekend Fixture Regulars
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Slots-Only Slow Burners
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Week-Cycle Casino Players
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Unbonused Crossover Players
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Two-Book Weekend Dabblers
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Sportsbook Purists
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Small-Stakes Dual Dabblers
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Casual Sports Faithful
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
Self-Funded Casino Core
Representative customer Not a real person, Neuralift does not process or store PII
How you'd recognise them
This segment Everyone else
Neuralift has transformed our understanding of player behavior and preferences across every touchpoint. For the first time, we have clear, actionable insights into the precise levers that drive player engagement and maximize ROI.
Tiers and points sort players by the club's rules, and the players who matter rarely sit where the rules put them. Ask your model who's close to moving up, who's quietly slipping and what brings each back, and it comes back with the plays, ranked. Here's an example plan for Copper Cactus Casino, a Neuralift demo brand.
KPIs, in priority order
club_tier This use case Move members up a tier, above all Silver to Gold, where hotel and dining spend doubles. theo_band Grow theoretical win per member without deepening free-play cost. trip_frequency Add one more trip a year for Quarterly visitors. digital_active Bring land-based members into the app, where crossover members play year-round. Channels
Gold members spend twice as much on property
$2,140Gold member annual spend $1,020Silver
They still open the Copper Club mail
61%open rate 34%club average
Crossover members are worth three times app-only players
$1,480crossover member annual value $470app-only
Their visits don't move with the mailer
4.1trips a month, mailer weeks 3.9other weeks
Bring the use case that matters most. Neuralift ties what its deep learning discovers in your player data to the KPIs behind it, and comes back with the players to act on and the plays to reach them.
| Keyplayer_id | Cleanednet_revenue_12m | |||||
|---|---|---|---|---|---|---|
| p_51190 | 4,741 | VIP | 0.94 | 3 | 0.08 | 0.31 |
| p_73305 | 5,708 | High Value | 0.02 | 16 | 0.21 | 0.44 |
| p_40877 | −306 | Negative | 0.48 | — | 0.62 | 0.71 |
| p_88213 | 3,120 | High Value | 0.05 | 1 | 0.74 | 0.66 |
| p_29604 | 162 | Core | 0.97 | 0 | 0.12 | 0.58 |
| p_66412 | 214 | Core | 0.00 | — | 0.00 | 0.83 |
Data dictionary crm_value_segment category · 4 bands
A new KPI: each player's value band (VIP, High Value, Core, Negative) on profit after every bonus is deducted.
Built from net_revenue_12mbonus_refamt
Data dictionary casino_share float · 0 to 1
The share of a player's revenue that comes from casino play rather than the sportsbook, over the full window.
Built from txn_typeproductamt
Data dictionary bonus_payback_days integer · days
How long after a bonus lands the player's play pays it back as profit. Empty when no bonus ever paid back.
Built from bonus_reftxn_typeamtevent_ts
Data dictionary promo_cannibalization float · 0 to 1
How much of the play around a promotion the player would have made anyway, so the bonus displaced rather than added revenue.
Built from bonus_refamtevent_ts
Data dictionary weekend_skew float · 0 to 1
The share of a player's active days that fall at the weekend, with timestamps normalised across time zones and formats.
Built from event_tsacct
Discovery starts by transforming the data you already have. Neuralift turns it into an AI-ready asset, engineers the features your use case needs, creates new KPIs and documents every one.
It fuels the deep learning, and it's yours to keep. Your data science teams can build on it, and so can your own agentic and AI applications.
Our team is always happy to talk through your customer data challenges and opportunities. We usually respond within a day, and we love helping teams see what their customer data can tell them.