For operators, affiliates and lifecycle teams

A branded activation experiment for the players your deposit and play messages are not moving.

We help you test why paid-for players do not fund, stop after first deposit, or ghost reactivation messages, without pretending the answer is always a bigger bonus or another phone call.

Pilot offer

What we set up for you

Start with one stuck player segment. We turn it into a branded, measurable flow that can be embedded on your page or hosted for you.

1. Branded flow

Built around your current product mix, offers, trust signals, onboarding journey and compliance requirements.

2. Lifecycle launch pack

We help craft the email, landing copy and offer route for RNF, early churn, dormant or lapsed player segments.

3. Experiment engine

Structured experiments compare combinations of message, question, trust signal, offer and CTA so you learn what moves outcomes.

4. Outcome map

Connect commercial outcomes to the intent reason: trust, confusion, offer mismatch, product fit, friction or low recoverable intent.

5. Production route

Promote the winning flow into production or use the evidence to decide which segments deserve human reactivation.

6. Learning loop

Feed the intent patterns back into lifecycle messaging, activation journeys, offer strategy and player-quality decisions.

Why not just A/B test?

One change at a time is too slow when the problem is a combination.

The wrong message with the right offer still loses. The right question in the wrong sequence still confuses. The right reassurance after the wrong objection arrives too late.

Our experiments are designed to test the shape of the journey: which questions, trust signals, offer routes and CTAs work together for a specific segment.

What we test as combinations

  • Email subject and opening promise
  • First question and progression logic
  • Trust/reassurance message
  • Offer framing and incentive level
  • Deposit, return or no further prompt routing
  • CTA language and destination
Pilot calculator

A/B testing feels like playing whack-a-mole? This is the bazooka.

It is time to upgrade your testing armoury. Move the slider to tell us how many emails you want to run your pilot experiment with. We will tell you how many test variants we can explore.

Emails available

Tell us how many emails we can send. We will tell you what weapon you can use.

18,000

Use this as a planning guide. Final design depends on consent, suppression rules, baseline response, deliverability, compliance review and the commercial outcome you want to optimise.

Recommended test config

Heavy artillery pilot

18 test runs can explore 4,374 tested configurations across a richer message family plus six other journey choices.

Test runs 18
Emails per run 1,000
Tested configurations 4,374
A/B only time 84 years

A/B only assumes one tested configuration per weekly send. Trying 4,374 configurations this way would take about 84 years.

What we could test

Tests up to 7 different things at once

One can have 6 different settings, and 6 can have 3 different settings. We choose the settings with you based on your segment, games, bets, offers, trust signals and target outcome.

  • Message family6 settings
  • Intent question3 settings
  • Trust signal3 settings
  • Offer framing3 settings
  • Game or bet route3 settings
  • CTA destination3 settings
  • Follow-up message3 settings

What this helps you learn

Instead of asking “did offer A beat offer B?”, the pilot learns which option from the 18 controlled test runs delivers the best result, and what that teaches us about the wider set of tested configurations. We can optimise for deposits, first-play rate, reactivation, NGR, GGY, player value, offer cost, or whichever commercial metric matters most.

What you get back

Complete clarity on what motivates your players to deposit, play and stay. Promote the winning test run into production and use the insights to keep players coming back.

Good pilot candidates

Bring us the segment that keeps coming up in meetings.

RNF

Registered non-funded

They showed enough intent to register. Find out whether trust, value, product fit, friction or expectation mismatch stopped first deposit.

FTD-1

Deposited once, then gone

Learn whether the first session failed to create relevance, confidence, entertainment value or a reason to return.

Dormant

Lapsed or dormant

Understand why deposit and play messages stopped landing before you escalate to higher bonus costs or human reactivation.

Quality

Low-quality activation

Separate valuable intent from bonus-only behaviour, confusion, poor fit or signals that should not be pushed harder.

What we need

Inputs for a first review

  • The segment you want to move
  • Current lifecycle emails, SMS or landing pages
  • Baseline numbers: sends, clicks, registrations, FTDs, repeat deposits or reactivation outcomes
  • Current offers and trust/reassurance messages
  • Any compliance, legal or safer-routing constraints
Best first question

“Show us a segment your team keeps trying to fix.”

That is where the Intent Gap usually becomes concrete: real users, real spend, real friction, real internal debate.

Team

Neil Burge
Founder · Research & Decisioning

Neil Burge

Neil focuses on the intent research, decisioning logic and commercial experiment design behind the flow.

neil@isitlegit.bet

Jason Novobranec
Founder · Ethics & Compliance

Jason Novobranec

Jason helps ensure pilots can include clear guardrails, sensible routing and appropriate review for regulated environments.

jason@isitlegit.bet