Lapsing regulars spotted and won back automatically.
The AI segments every guest, detects who is slipping away, and fires the right offer through the right channel to pull them back. Press run.
Guests
0
At-risk found
0
Win-back rate
0%
Revenue recovered
$0
Guest segments
last 90 days
VIP
186
Top 10% spend
Regular
1,640
Visits every 2 weeks
At-risk
0
Slowing visit pace
▲ offer queued
Lapsed
0
No visit 60+ days
◆ win-back fired
Win-back offers delivered0
Guests recovered0
Win-back flow
per guest
1
Score
RFM model ranks slip risk
2
Match offer
Reward sized to past spend
3
Pick channel
SMS or email by open habit
4
Redeem
Visit booked, POS tracks lift
Slipping guests caught early. The right offer goes out on its own.
The impact
Lapsing regulars caught early and pulled back automatically.
The system spots guests slowing down and fires the right offer through the right channel, recovering revenue that would otherwise quietly walk out the door.
Typical projectionHospitality · industry benchmark
At-risk guests detected
0→214
▲ caught before churn
Win-back conversion
0%→34%
▲ targeted offers
Monthly revenue recovered
$0→$18k
▲ from lapsing regulars
Monthly revenue recovered from win-back
▲ +$18k / moLast 4 months
Before With TRIVOX
Projection, not a guaranteed result. Typical estimated range for businesses in this sector based on typical volume. Individual results vary. Shown as system capability, not a specific client case.
