Selling or acquiring an iGaming asset is one of the most complex transactions in the digital economy. Multiples look simple on paper, but once you factor in GEO risk, SEO volatility, operator concentration, regulatory pressure and long-term growth prospects, the true value can move dramatically.

This simulator helps founders, investors and brokers model a deal before engaging in full due diligence. By entering a handful of real-world assumptions, you’ll get a valuation range, a buyer payback period, and a downside scenario that reflects what usually happens after a deal closes.

Why valuations in iGaming rarely fit a straight multiple

In traditional industries, assets are often valued as a clean X × EBITDA.

In iGaming, this rarely tells the full story.

Valuations depend heavily on:

• GEO mix – Tier-1 regulated traffic (e.g., SE, UK, DE, CA) often gets premium multiples, while grey/offshore GEOs get discounted.
• Growth trajectory – A site growing 30–50% yearly is not priced the same as a flat or declining asset.
• Operator concentration – 60% of revenue from one operator increases risk and pushes the valuation down.
• Cost structure – Lean affiliate operations with high margins command higher multiples.
• SEO health – Google volatility and dependency on a few pages affects perceived stability.

The simulator doesn’t replace a full M&A valuation model — but it does bring structure to the early conversation.

How the simulator works

The model asks you to provide:

Inputs

• Monthly NGR or net profit
• EBITDA margin
• Year-over-year growth rate
• Traffic quality (Tier-1 regulated vs mixed vs grey)
• Minimum and maximum EBITDA multiples you believe are realistic

Outputs

• Headline valuation range (low / high)
• Annualised EBITDA estimate
• Implied buyer payback period
• Downside scenario (if revenue drops 20% post-sale)
• Suggested “realistic” valuation band inside your original range
• Risk-based status indicator (“attractive”, “negotiable”, or “high-risk pricing”)

This gives you a fast way to test the story you want to take to buyers — or to evaluate incoming deals objectively.

How to use the results

1. Valuation range (low / high)

This is your enterprise value assuming the inputs and risk adjustments.

It’s not a promise — it’s a realistic corridor buyers will consider.

2. Buyer payback period

This shows how many years of current EBITDA it takes a buyer to recoup their investment.

In iGaming M&A, a payback under 3–4 years for a growing Tier-1 asset is often considered attractive.

A payback over 6 years usually triggers negotiation or significant due diligence commentary.

3. Downside revenue scenario (-20%)

Most deals get renegotiated after downside testing.

This shows how exposed your asset is if traffic softens or key operators cut terms.

4. Realistic valuation band

This refines your initial multiple range based on:

• Growth
• GEO quality
• Market risk

For example:

• A high-growth Tier-1 site may skew towards the higher end.
• A flat, grey-GEO site will skew towards the lower end.

5. Overall pricing status

A quick indicator of whether the asset looks underpriced, fairly priced or overvalued.

Who benefits from this simulator?

Founders preparing an exit

Helps set expectations before you speak with brokers or buyers.

Investors & funds

Evaluates deal flow quickly without building a full model.

Operators buying media or affiliates

Tests how risky a deal looks before entering negotiations.

Brokers & M&A advisors

A clean way to visualise negotiation ranges early in the process.

Important notes

This tool is directional — not a replacement for:

• Cohort-level LTV analysis
• Operator revenue dependency analysis
• Legal and licensing checks
• SEO audits and traffic quality verification
• Compliance and regulatory risk assessments

Use it to anchor the conversation, not to sign the SPA.

Benny Sjoelind