Carnival was pulling in users. Getting them to deposit was another story.

Toast was sending timed push notifications and emails, but with no behavior signal behind them, the campaigns weren't landing at the right moments.

Jatin brought in Sortment to fix that: connect it to their Redshift data, replace the schedule-based sends with behavior-triggered campaigns, and give the team a way to act on player data without needing an analyst in the loop.

The results came quickly.

Challenge: Generic sends weren't moving the deposit needle

For any real money gaming platform, the first deposit is everything. It separates curious signups from actual players.

Toast was running timed push notifications and emails: a 9 AM send here, a batch campaign there. The logic was simple. The results weren't.

First-deposit conversion sat at 3%. The team knew why: they were broadcasting at users on a schedule, not reaching them based on what they were actually doing.

"Being a new product, it's always hard to hyper-personalize and reach out to those users at the exact time they require a notification or an email."

— Jatin, Co-founder, Toast

With a small team and no dedicated marketing function, Jatin was handling lifecycle marketing himself. Building complex segmentation or writing custom queries wasn't realistic.

Solution: Sortment on top of Redshift

Toast needed a tool that could sit on top of their player data and trigger the right message at the right moment, without a team of analysts or a month of integrations.

Sortment connected to their Redshift warehouse in a day. No custom ETL, no engineering sprint. From there, the team had full visibility into player behavior across every session.

Key things Sortment made possible:

• Behavior-based targeting: Instead of time-based sends, campaigns now fire based on what a player is doing, or not doing. Users are reached when they go inactive, when they're mid-session, when they haven't completed their first deposit. The right nudge at the right moment, not a scheduled blast.
  
  

• Background AI agents: Sortment runs agents on Carnival's data continuously. These agents surface dormant cohorts, flag which users are at risk, and suggest specific reactivation strategies. The team doesn't have to query for this. It surfaces automatically.
  
  

• Content layer: Once a cohort is identified, Sortment helps generate the email templates and campaign copy needed to reach them. The AI knows Toast's user definitions and business metrics, so the output is grounded in actual context.
  
  

• Natural language analytics: Complex visualizations that used to require query writing now take a single natural language input. Sortment learns how the team thinks about their data and carries that context forward.

Use cases unlocked

• First-deposit activation: Campaigns now follow users through every stage of their early journey, on-app, off-app, and everything in between. Behavior triggers replaced calendar schedules.
  
  

• Dormant user reactivation: Sortment identified users who had gone cold and built reactivation journeys for them. 8% re-engaged. 5% came back and deposited again.

Results

With Sortment, Toast moved the metric that matters most for a real money platform:

First-deposit conversion went from 3% to 15%, a 5x improvement, by shifting from timed generic sends to behavior-driven campaigns that meet players at every point in their journey.

5% of dormant users were reactivated and made a deposit after targeted resurrection campaigns.

The team onboarded in a single day, connecting Redshift without any engineering involvement.

"Sortment is basically a system that is watching over your users so you don't have to. It identifies patterns, comes up with next steps, and even writes the content to reach those users."

— Jain, Co-founder, Toast