Swarm Symphony
Swarm Symphony

The agentic intelligence layer between strategy and player behaviour.

De-risk every commercial decision. Quantify revenue, retention and margin impact before capital is committed.

Swarm Symphony scenario simulation results
The Problem
0%

of sportsbook bonus spend goes to players who'd have deposited anyway.

You see what they did. Not what they'll do next. Source: EGR Intel operator survey, 2026

Backwards-looking
Analytics tells you what already happened

Dashboards show last quarter. They can't tell you how the next bonus, regulation or vendor will land.

Averages hide the reaction
Forecasts flatten Whales, Bonus Hunters and Casuals into one number

The exploitation, the churn and the adoption all live in the segments, not in the average.

Behaviour is social
Bonus Hunters copy each other. Whales pull Regulars

Real reactions emerge from agents interacting, not from a spreadsheet of base rates.

Stop forecasting. Start interrogating your players.

How the swarm works

A digital player society, not another dashboard.

A scenario goes in. Autonomous agents play it out. You can question any one of them.

  1. 01
    Seed

    Define the question

    Input the scenario: bonus, regulation, CRM move, product change, vendor decision or market event.

  2. 02
    Populate

    Spin up the player swarm

    Autonomous player agents across Whales, VIPs, Regulars, Casuals, Bonus Hunters and Lurkers. Each carries memory, personality, value profile, churn risk, offer sensitivity and influence patterns.

  3. 03
    Simulate

    Release into a live society

    Agents react, influence each other, adopt, ignore, exploit or churn over time. Cascades emerge from the bottom up.

  4. 04
    Rank

    See predicted impact

    The engine ranks outcomes by LTV, GGR, retention, margin pressure and segment response, with confidence.

  5. 05
    Interrogate

    Ask why. Change a variable. Re-run.

    Open any agent or segment, test a new assumption, rerun the simulation in real time. The simulation is interrogable, not a static deliverable.

Scenarios

Six decisions. One swarm. Every reaction modelled.

Drop a stimulus into the simulation. Watch your player base react in real time.

Bonus design

Will this welcome offer attract value or attract abuse?

Watch Bonus Hunters coordinate, Casuals adopt and Whales ignore. See margin compression before the campaign goes live.

→ See the simulation
Bonus design
Sample input
100% up to £200 + 50 free spins · 35× wagering · 7-day expiry
Net GGR
+4.1%
Bonus abuse
31% of claims
Margin
−6.8%
Swarm

Tighten wagering to 40× or cap free spins → +9.2% net GGR.

Regulation

How will players react to a £500 monthly deposit cap?

Simulate friction across segments. See where churn spikes, where loyalty holds, and how revenue redistributes.

→ See the simulation
Regulation
Sample input
£500 monthly net deposit cap · mandatory affordability check at £150
Whale GGR
−38%
Regular churn
+11%
Total GGR
−17.4%
Swarm

Soft-cap with VIP review path retains 62% of lost Whale GGR.

CRM & retention

Which win-back sequence actually retains your VIPs?

Run rival CRM journeys against the same swarm. Compare retention, win-back rate and segment cannibalisation.

→ See the simulation
CRM & retention
Sample input
3-touch SMS + email reactivation · £25 risk-free bet · day 7 / 14 / 21
VIP win-back
+22%
30-day retention
+8.6%
Casual cannibal.
−3.1%
Swarm

Day-7 push alone captures 71% of the lift at 1/3 the cost.

Product launches

Will a new live-casino vertical pull players or split attention?

See cross-product cannibalisation, who migrates, who sticks, and net GGR effect by segment.

→ See the simulation
Product launches
Sample input
Launch live blackjack + game-show studio · cross-sell from slots lobby
New-vertical GGR
+£420k/mo
Slots cannibal.
−£180k/mo
Net GGR
+£240k/mo
Swarm

Whales drive 64% of net lift; gate the cross-sell to mid-value+.

Vendor integrations

Does this provider's content actually move your player base?

Vendor benchmarks come from someone else's swarm. Test their pitch against yours.

→ See the simulation
Vendor integrations
Sample input
Add Studio X catalogue (42 slots) · vendor claims +15% GGR uplift
Realised GGR
+3.8%
Engaged players
9% of base
Whale adoption
Low
Swarm

Vendor claim overstated 4×. Negotiate revshare on actual lift.

Market shocks

Competitor launches a 200% welcome bonus. What breaks?

Inject the shock and watch the cascade: who leaves, who stays, what the recovery curve looks like.

→ See the simulation
Market shocks
Sample input
Competitor: 200% up to £500 · 14-day campaign · paid-media blitz
New-deposit drop
−24%
Bonus Hunter exit
41%
Whale defection
3%
Swarm

Defensive £50 reload to top 2 deciles recovers 78% of deposits.

Tap a card to flip

Every decision, simulated before it ships.

Outcome

A commercial read on behaviour, before you act.

Segment by segment. Risk by risk. Rerun in real time.

Scenario Intelligence
Welcome Bonus redesign · 160 agents
Modify before launch
Projected LTV
+12.4%
GGR impact
+6.2%
Retention
+4.8%
Bonus abuse risk
High
Churn risk
Low
Confidence
0.82
Segment-level LTV impact
Whale
+28.7%
VIP
+19.3%
Regular
+8.4%
Casual
+3.1%
Bonus Hunter
-22.5%
Lurker
-5.2%
Segment-level impact

Adoption, churn and exploitation by Whale, VIP, Regular, Casual, Bonus Hunter and Lurker, per market.

Risk signals

Bonus abuse exposure, margin compression, regulatory friction and churn pressure surfaced before launch.

Scenario comparison

Run rival versions of the same decision against the same swarm. Compare LTV, GGR and retention side by side.

The agents

Seven archetypes. One living, talking player base.

Modelled from your operator profile. Agents react to the scenario and to each other.

Player base composition160 agents
Core revenue Growth band Margin risk
Core revenue
1 / 7

Whale

Biggest revenue drivers. Adoption cascades to other segments.

Agents
14
Avg LTV
£9,200
Churn
6%
Bonus sensitivityMedium
Built for tier-one operators
Operator A
Operator B
Operator C
Operator D
Operator E
"We stopped guessing how players would react. We simulate it. Bonuses, regulation, CRM: the swarm tells us where the risk is before we ship."
VP of Product · Tier-one EU operator
The Pilot · Agentic Intelligence for iGaming

Eight weeks to build your first player-reaction simulator.

Share your segment data. We stand up an agentic simulation of your player base, run your first scenarios and deliver a board-ready read. First simulation, free.

8 weeks
Pilot duration
Free
First simulation
Board-ready
Report & recommendations
Controlled
No raw player data needed. Start from segment-level assumptions, calibrate from there.
Swarm Symphony
Swarm Symphony · Agentic Intelligence for iGaming
© 2026 · v1.0