Travtus plus Stake
Coming soon
Stake is a retention lever with its own data. Connecting it shows what rewards are doing to renewal behaviour, next to everything else that moves it.
- Reward balances and activity
- See whether rewards are moving renewal behaviour
- Resident participation and engagement
- Bring participation into a retention conversation
- Payout and redemption history
What teams do once this is connected
- QUERYACH adoption trendQuery ACH adoption by community, region, and period - with month-on-month trend and identification of the communities dragging the portfolio average.Finance & Revenue
- FEATUREPayment Behavior BreakdownACH, card, check, and cash payment composition across the portfolio - by community and period, with trend.Finance & Revenue
- FEATUREBad Debt Prediction ScoreIdentifies residents on a trajectory toward bad debt before they reach that stage - enabling early intervention.Finance & Revenue
- QUERYWhich residents are at riskAsk which residents are most likely to miss next month's payment - ranked by risk score with supporting signals.Finance & Revenue
- FEATURELate Payment Risk ScoreA per-resident score predicting likelihood of late or missed payment next month - continuously updated, available to collections and property teams.Finance & Revenue
- ACTIONACH Enrollment CampaignTargeted outreach to residents not on ACH - explains the benefit, provides the enrollment link, and tracks conversion.Finance & Revenue
- How do I connect Stake to Travtus?
- Stake is on the way rather than available today. Tell us you need it and it moves up the list. In the meantime your own APIs can be connected as tools your AI can call, which covers most of what people want Stake for.
- What does Travtus not read from Stake?
- Whatever you do not put in scope. You choose what is connected - Travtus reads what you point it at and nothing else, and you can change that at any time.
- Can I connect Stake if we also run Plaid?
- Yes. Stake and Plaid are separate connections and most operators run several - the point of connecting them is that the answer draws on all of them at once rather than one at a time.
See it on your own data
The fastest way to know what this is worth is to watch it answer a question you already have.
