Your retention department, on autopilot.

Retenzo is AI software that runs player retention for iGaming operators. It sits on top of the CRM you already use, decides who gets which offer and when, acts inside a policy you approve, and proves the extra profit against a control group.

Open the live demo How it works

No retention team neededRuns on top of your CRMResponsible gambling built in

TODAY · 08:00 · NOVASPINExample data

Good morning. Overnight, 2 policies ran on their own: 64 players got offers, 19 deposited. 2 actions need approval today.

Early churn signalNeeds approval

358 players drifting away

Free spins on their favourite slot, sent tonight at each player's usual hour

Cost$1,180

Net vs control+$5.9–8.4K

Review

Failed depositsAuto · within policy

23 failed deposits recovered overnight

Retenzo

12 VIPs are slowing down. Proposed: personal cashback, up to $100 each. VIP actions always need a person. Approve?

ApproveDetails

Approve

Done. Sent through your CRM at each player's usual hour. Results vs control in tomorrow's report.

For operators with 2,000–100,000 active playersCasino & sportsbookWhite label, turnkey or own platformWorks with Smartico & Optimove first

The problem

You paid for the player. Then they left.

Small and mid-size operators spend most of their budget on acquisition and very little on what happens after the first deposit. The money leaks out quietly, every day.

No one

owns retention

There's no retention team, or one person doing five jobs. Nobody looks at who stopped playing yesterday, so nobody acts until it's too late.

Tools

sit half-used

Many operators already pay for a CRM like Smartico or Optimove. Without experts to run it every day, it sends a few generic campaigns and little else.

Bonuses

go to the wrong players

Generic offers go to everyone, including players who would have deposited anyway. Margin disappears, and no one can say what actually worked.

What makes us different

Not another CRM. The team that runs it.

CRM tools give you software and expect your people to operate it. Retenzo replaces the work of the retention team, not your tools, and is judged on the money it brings back.

A CRM tool gives you

Software, training and a support desk
Your team decides who to contact, when and with what
Your team builds, launches and fixes every campaign
Reports on opens, clicks and sends
Results depend on who you managed to hire

Smartico, Optimove, Fast Track and others are good tools. They still need a team.

Retenzo gives you

A system that runs retention every day, nights and weekends
It decides whom to contact, when, with which offer and why
It acts through the CRM you already pay for
Incremental profit against a control group, after bonus cost
Hard limits for budget, consent and responsible gambling

We don't replace your CRM. We make it work: more of the right campaigns, through your system.

How it works

Retenzo decides who and when. Your CRM delivers.

One decision brain on top of the systems you already have. Every cycle, the same four steps.

STEP 1

Read

Player activity, deposits, bonuses, consents and responsible-gambling blocks, from your CRM or platform.

Access you issue, revoke any time
No development on your side

STEP 2

Decide

Models score every player. Playbooks turn the scores into actions with an audience, an offer, a cost and an expected return.

Reasons in plain words
Control group set aside

STEP 3

Approve

The approver is a person or a policy. At the start, our expert approves every action. Later, routine actions run inside your policy.

Snapshot of exactly what was approved
Instant stop, any time

STEP 4

Execute & measure

Your CRM sends from campaigns set up once. Retenzo pulls player-level results and compares them with the control group.

Incremental net revenue
Every result improves the next decision

From approval to autopilot

Autonomy is earned, one action type at a time.

Retenzo moves from approving every action to approving a policy. The move happens per operator and per action type, only when the numbers say it's safe.

Level 1 · Managed onboarding

Approval per action

The AI analyses, decides and prepares. A Retenzo retention expert reviews and approves every campaign before it runs. We learn your business and measure the hours.

The humanApproves every campaign

Level 2 · Controlled automation

Automation within limits

You approve a policy once: campaign types, templates, audiences, budget and bonus caps, frequency and channels. Actions inside it go out without individual approval.

The humanHandles exceptions only

Level 3 · Autonomous

Retention that runs itself

Retenzo analyses, creates, executes, measures and improves inside a fixed permission framework, with monitoring, a full audit log and an instant stop.

The humanSets goals, policy and sensitive calls

Never automatedContacting a self-excluded or at-risk player, sending without fresh consent, new bonus mechanics or new marketing copy without human approval.

Live demo

See a day of Retenzo in three minutes.

A guided tour on NovaSpin, our fictional demo casino. Approve an action yourself, follow one player, and see how one expert oversees several operators.

Start the tour

Revenue at risk this month
What the AI did overnight
The approval queue
Why this player, why now
The policy that limits the AI
Results against a control group
One expert, many operators

Responsible gambling

Protection is a gate, not a filter.

Before every action, a fresh check of consent, self-exclusion, eligibility and limits. If information is missing or stale, Retenzo does not send.

Blocked

No marketing at all

Self-excluded, cooling off, over limits, or showing signs of harm. Excluded automatically and flagged to the operator.

Limited

No value-increasing offers

Medium risk: no deposit matches or pressure. Only neutral, low-value contact is allowed.

Clear

Eligible for playbooks

Still capped by frequency limits and quiet hours, and re-checked just before every send.

Founding operators

We're onboarding our first operators.

Our team sets Retenzo up with you, runs it live on your data with an expert approving every action, and shows you the measured result.

You getManaged onboarding, a fixed trial period, then founder pricing

We set upAccess to your CRM, a library of standing campaigns, your first policy

We askData access and execution permissions, a control group, permission to share anonymised results

PaperworkShort written terms with a set date to move to payment

FAQ

Questions operators ask us.

Do I need a retention team to use Retenzo?

No. That's the point. During onboarding our expert approves every action. After that, routine actions run inside the policy you approved, and your side handles only exceptions.

We already use Smartico or Optimove. Is this a replacement?

No. Retenzo works on top of your CRM. It decides who goes into which audience and when; your CRM sends from campaigns set up once. You get far more out of the tool you already pay for.

We're on a white label platform without a CRM. Can we use it?

Yes, with a minimal Retenzo operations layer: templates, audiences, scheduling, frequency caps and suppression lists, sent through your messaging provider. CRM connectors come first; platform connectors follow.

How do you know a campaign actually worked?

Every action holds out a random control group at player level. We report the difference in net revenue between the two groups, after bonus and messaging costs.

What stops the AI from overspending?

A budget ledger per operator. Bonus and budget caps are enforced by Retenzo, not just displayed. Anything outside the policy waits for a person.

How do you handle responsible gambling?

A hard rules engine overrides the AI. Self-excluded and at-risk players are excluded from all marketing and flagged to you, and consent and blocks are re-checked just before every send.

Where is our data, and who owns it?

You own your data and the access. We act as a processor on your behalf under a data processing agreement, with client isolation, encryption and least-privilege access.

How long until we see results?

First recommendations within days of connecting. Small operators need several weeks for a statistically clear uplift, so we agree leading indicators up front, like repeat deposits and return to activity.

How it works

One decision brain. Your existing systems.

Retenzo reads from the systems you have, decides what to do, gets approval from a person or a policy, executes through your CRM and measures the result.

The working pattern

Retenzo decides who and when. The CRM delivers how.

We don't need your CRM to let us build campaigns from scratch. We only need to write an audience and stop it. That keeps every connection simple and robust.

Once · at onboarding

Standing campaigns

A library of campaigns is set up in your CRM: template, channel and bonus, each triggered on an audience Retenzo manages.

Every cycle · Retenzo

Decide

Who goes into which audience, including a control group that gets nothing.

Retenzo

Approve & write

After approval by a person or a policy, the player list is written to the CRM.

Your CRM

Send

The existing campaign fires on the list, through your channels and bonus engine.

Retenzo

Measure

Player-level results are pulled back and compared with the control group.

Connector A · first

On top of your CRM

For operators on Smartico or Optimove, on any platform. The CRM already receives your platform data, so no white label provider cooperation is needed. More CRMs follow by market share.

SmarticoOptimoveThen Fast Track, Xtremepush and others

Connector B · next

Platform and messaging

For white label operators without an external CRM: data from the platform, messages through your email or SMS provider, plus a minimal Retenzo operations layer for templates, audiences, frequency caps and suppression lists.

Top white label platformsYour messaging provider

Connectors are in development. We work only through access you issue, and you can revoke it any time.

Playbooks

The know-how of a senior retention manager, built in.

Each playbook defines who qualifies, which offers are allowed, when to act and how success is measured. The AI chooses within them. It never invents bonus terms.

Registered, never deposited

Turn sign-ups into first deposits with reminders at the right hour, and a small offer only if you allow it.

First-deposit rateHour 1 · 24 · 72

Failed deposit recovery

A retry link, a smaller amount, or another payment method, based on why it failed. No bonus needed first.

Recovered depositsSame day

First to second deposit

The most expensive drop-off in the funnel. A reload or spins on the game they played, timed to their habit.

Second-deposit rateDay 2 · 5 · 9

Early churn signal

Catches active players while they're slowing down, with an offer matched to what they like.

Retained playersWithin 24h

Dormant reactivation

Brings back players who left, with offers sized to their predicted value.

Reactivated depositorsWeekly waves

High-value at risk

Top players get a personal touch the same day. Always human-approved.

Value retainedSame day

Bonus efficiency and abuse

Stops bonuses to players who would deposit anyway, and catches bonus hunters. Often the fastest money you'll see.

Bonus cost savedWeekly

Event moments

Big matches and new game launches, matched to each player's league or game.

Event deposits24h before

After a big withdrawal

A thank-you and a small gift a week later. No pressure language, ever.

Return rateDay 7

P10

Birthdays and anniversaries

Small, well-timed gifts that keep the brand warm.

EngagementOn the day

The AI

Real models, not a chatbot in a dashboard.

Machine learning for predictions, a learning algorithm for offers, and a language model for words.

Churn risk

Gradient-boosted trees

The probability that an active player stops depositing in the next 14 days, recalculated every cycle, with the top reasons for each player.

Predicted value

Regression + cold start

Expected net deposits over the next 30 days, so offer size always matches what a player is worth.

Offer and timing learning

Contextual bandit

Tries, measures and shifts toward the offer, channel and hour that work best for each kind of player.

Rules engine

Hard rules, overrides AI

Consent, exclusions, responsible gambling, jurisdiction rules, budget, frequency and bonus abuse control.

Explanations and copy

Language model

Reasons in plain words, the morning briefing and weekly learning notes. New copy always goes to a person first.

What runs on its own

Autonomy in decisions first. New content later.

Gambling advertising rules are strict, and an error in copy or bonus terms is a compliance incident. So the AI decides whom, when and which approved template. People own anything new.

Action	Runs automatically?
Player behaviour analysis and grouping	Yes
Measuring results and improving recommendations	Yes
Campaigns from approved templates	Yes, after testing and permissions (level 2)
Bonuses with a monetary cost	Only inside budget caps and rules
Service messages	Yes; "service or marketing" is set per jurisdiction in the rules engine, not by the AI
A new campaign: new copy or a new bonus mechanic	No. Human approval
A player showing signs of harmful gambling	Excluded from all marketing, flagged to the operator

Built for trust

Safety is in the architecture, not in a setting.

Approval snapshot

Audience, count, copy, channel, timing, incentive and cost are frozen at approval. A material change needs re-approval.

Instant stop

Stop any operator, campaign or action type in one click.

Never twice

A retry after a failure never sends twice. An unclear outcome stops and goes to a person.

Budget ledger

Caps per operator are enforced, not just displayed.

Audit log

Every decision, data source, approval, execution and result, immutable.

Control group

Built into every action, at player level.

Fresh checks

Consent and blocks re-checked just before sending, at any cycle frequency.

Client isolation

Encryption, a secrets manager, least privilege and a data retention policy.

Why Retenzo

The cost of software. The work of a team.

Operators without a retention team have three options today. Each one leaves a gap. Retenzo closes it.

	Hire a retention team	CRM platform	CRM agency	Retenzo
Who does the daily work	Your hires	Your team, using the tool	Agency people	AI, inside your policy
What you pay for	Salaries and tools	A software licence	Hours	A monthly subscription
Time to first campaign	Months of hiring	Weeks of setup	Weeks	Days, on top of your CRM
Nights and weekends	No	Pre-built automations	No	Yes, inside policy
Proof of impact	Rarely	If your team sets it up	Activity reports	Control group on every action
Works with your CRM	Yes	It is the CRM	Usually	Yes, runs on top of it
Responsible gambling	Depends on the person	Rules you configure	Depends on the agency	Checked before every action

What we stand on

Three things a CRM add-on can't copy easily.

CRM vendors are adding AI. That's good for operators. Our edge isn't "having AI"; it's what we're accountable for.

Accountability for results

We report incremental net revenue against a control group, after bonus costs. Not opens, not clicks, not "campaigns sent".

Safety in the engine

Bonus abuse controls, budget caps and responsible gambling sit in a rules engine that overrides the AI. Nothing goes out without a fresh check.

One brain across systems

The same decision layer runs on Smartico, Optimove and platforms with no CRM at all, so an operator group can run every brand the same way.

What it could mean for you

Put in your numbers.

A simple estimate of the extra net revenue from keeping some of the players you lose each month. Every input is yours; the defaults are examples, not results.

Active players a month Avg net revenue per active player, $ a month Active players lost each month, % Of those, kept by Retenzo, %

Players kept a month200

Extra net revenue a month$8,000

Over a year$96,000

Counts only one month of extra play per kept player, so it is conservative. Your real numbers come from the control group in a pilot.

Pricing

A monthly subscription.
Less than one hire.

Priced by operator size. Message delivery and bonuses stay on your side.

Managed onboarding with a Retenzo expert
Playbooks, rules engine and responsible-gambling gate
Control group measurement and weekly report
Connection to your CRM or platform

Get a quote

STEP 1 / 8

OPERATORNovaSpinExample data

Revenue at risk, next 30 days

NovaSpin · fictional casino

$61–84K

What NovaSpin is likely to lose if nobody acts, from players drifting away, deposits that failed and bonuses that don't pay back.

Drifting regulars

$24–33K

One deposit, no second

$14–19K

High-value at risk

$12–17K

Wasted bonuses

$6–8K

Failed deposits

$5–7K

Net vs control, last 30 days+$27.4K

Policies running4

Active players18,240

Morning briefing · 08:00

2 policies ran overnight

RetenzoGood morning. Overnight, 2 policies ran on their own: 64 players got offers and 19 deposited. 23 failed deposits were recovered. 2 actions are waiting for approval, worth $10–14K net.