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Real-time retention

Who will bring money, who is leaving, and which offer to send right now

An analytics platform that predicts per player and builds the offer automatically, in real time, while the player is still on site. Works on top of your platform, nothing to migrate.

powered by PWP holding

QUEUEDSAVE
Player #900981 · 12,400 ₺ at stake
Bonus: end-of-day free spins · best time Tue 05:00
SENT6s
Offer delivered while player active
Deposit #3 candidate · awaiting result
FLAGGEDLIVE
High-value player going negative right now
Routed to manager
SCOREDCALL
Operator #7 · 9-criteria rubric · PASS
Coaching card attached
CHECKEDPOST-EXPORT
171 dormant depositors contacted
22 returned to play after the touch
demo data

From event to offer in seconds

Every deposit, bet and session updates the forecast for that player. When the moment comes, the offer goes out on its own.

  1. 01

    Event

    A deposit, a bet, a session or a losing streak arrives by Player ID

  2. 02

    Prediction

    The model recalculates who is ready to deposit and who is about to leave

  3. 03

    Offer

    The offer and the moment are picked for this player, not one bonus for everyone

  4. 04

    Channel

    It goes out where the player will see it. A manager can approve the send

What you get
  • More deposits: the offer arrives when the player is ready, not on a schedule
  • Fewer players leave: you see who is leaving before they are gone
  • No analyst and no exports: recalculated on every event
app.sellrise.ai/engage/queue
Live retention queue
live
8B14C0
losing streak · live
06sApprove
2A77F1
deposit started, no pay
Review
5E90D2
churn risk rising
Review
A human approves before any send.Demo data

The offer reaches the player where they will see it

Sellrise picks the channel for each player: where they respond and whether they are on site right now. It sends through your existing channels by Player ID, nothing to rebuild.

During the session and right after

The offer meets the player in the moment, before they close the tab.

  • In-app and on site
  • Push

When the player has left

A personal offer where they read messages, to bring them back.

  • SMS
  • WhatsApp
  • Viber
  • Telegram
  • Email

High-value players

A manager gets a task to call this player right now.

  • Calls

Any other channel your CRM already sends through works too.

We only work with Player ID

  • Four tables: players, deposits, bets, sessions
  • Names, phones and emails never leave your database
  • Integration at our cost, storage on your infrastructure

days, if the platform provides the data

Player ID
we take
Deposits, bets, sessions
we take
Name, phone, email
stay with you
Offer delivery
yours, through your channels, by Player ID
Storage and keys
yours

Results measured in your money

  1. 1

    Control group

    players nobody contacts

  2. 2

    Your team

    as today: own lists, own offers

  3. 3

    Model

    Sellrise picks the time, the offer and the channel

  4. =

    Result

    average turnover per player in each group, the difference is the effect, after one month

  • Three groups: control, your team as it works today, the model
  • One month. Metric: average turnover per player
  • No percentages before the test, you get the number on your own players

Group sizes are agreed during the pilot. we agree the metric before we start

Subscription, not a share of GGR

  • Core $2,500 per month when paid quarterly, $3,000 monthly
  • Modules from $500 each, channels at cost
  • Whole team included, integration and support included

you never pay for setup twice

an active player is a deposit or at least one bet in the month

Core: prediction and analytics, up to 10,000 active players per month, paid quarterly (monthly $3,000)
$2,500
Next tier, up to 30,000 active
quoted for you
Real-time offers, traffic quality, call analytics: each module
from $500
Paid channels: SMS, messengers, calls
at cost
Integration and support
included

We ran retention by hand, so we know where it breaks

A holding with its own operator projects. Sellrise is its product company.

  • 10
    years in machine learning
  • 6
    people on the team: ML, engineering, product
  • 26
    operators already work with PWP
  • One of the companies of PWP holding
  • We worked inside operators: retention, traffic, call centre
  • We build the models ourselves. On the call you talk to the people who built the product

live with clients on real data

Let us prove it on your numbers

On this call

the deck and a quote for your market

Tomorrow

thirty minutes with our engineer on integration

In a month

pilot results against a control group

Request a quote