Instant, data‑driven pricing guidance for iGaming affiliate sites and media brands. This page explains how the calculator works, what each input means, and how to interpret the results. You’ll also find examples, methodology, FAQs, and responsible disclaimers.
Affiliate / Media Asset Valuation Calculator
Estimate valuation using revenue and EBITDA multiples adjusted for growth, GEO and traffic mix. This is an indicative tool, not investment advice.
Advanced: Operator concentration
How we adjust the multiples
| Factor | Adjustment (to multiple) |
|---|---|
| Growth > 20% YoY | +0.50x (revenue) / +1.0x (EBITDA) |
| Growth 10–20% YoY | +0.25x / +0.5x |
| Negative growth | −0.25x / −0.5x |
| GEO premium (US +0.5x, SWE +0.4x, DE +0.3x, CA +0.2x) | applies to both multiples |
| Rev share mix ≥ 70% | +0.40x / +0.6x |
| Rev share mix 40–69% | +0.20x / +0.3x |
| Rev share mix < 40% | −0.20x / −0.3x |
| Users > 200k / 50–200k / < 10k | +0.30x / +0.10x / −0.20x (both) |
| Top 3 operators > 70% | −0.50x / −0.8x |
| Top 3 operators 40–70% | −0.25x / −0.4x |
How to use the calculator (2 minutes)
- Enter Monthly Revenue. Use the last full month. If revenues fluctuate, use an average of the last 3–6 months.
- Set EBITDA Margin. Operating profitability after normal content/tech/overheads.
- Pick Revenue Composition. What % is Rev Share vs CPA/Hybrid. Higher rev‑share generally commands a premium.
- Add Monthly Users/Sessions. Unique users or sessions — whichever you track consistently.
- Choose Primary GEO. Pick the jurisdiction that contributes the largest share of revenue.
- Enter YoY Growth. Compare the latest month (or trailing 3 months avg) vs the same period last year.
- (Optional) Operator Concentration. Share of revenue from your top 3 operators — this drives risk score.
Click Calculate to see the valuation range, projected 12‑month return, and risk score.
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What the outputs mean
- Adjusted Revenue Multiple and Adjusted EBITDA Multiple — baseline sector multiples calibrated by growth, GEO, traffic mix, audience size, and concentration risk.
- Valuation Range (min–avg–max) — a blended estimate using 50% revenue‑based and 50% EBITDA‑based valuation with a ±20% band to reflect deal dispersion.
- Projected 12‑month return — indicative buyer return if current EBITDA grows at your YoY rate and the deal is priced at the mid valuation.
- Risk score — 0 (low) to 100 (high). Driven by rev‑share mix, growth sign, audience scale, and operator dependency.
Reality check: True deal prices vary with timing, regulatory risk, backlink quality, brand equity, and buyer synergies. Use this as guidance, not an appraisal.
Methodology (transparent & practical)
We start with base multiples representative for iGaming affiliates/media in normal markets:
- Revenue multiple: 2.5×
- EBITDA multiple: 6.5×
We then apply additive adjustments:
| Factor | Revenue multiple | EBITDA multiple |
|---|---|---|
| Growth > 20% YoY | +0.50× | +1.0× |
| Growth 10–20% YoY | +0.25× | +0.5× |
| Negative growth | −0.25× | −0.5× |
| GEO premium (US / SWE / DE / CA) | +0.50× / +0.40× / +0.30× / +0.20× | same as revenue |
| Rev‑share mix ≥ 70% | +0.40× | +0.6× |
| Rev‑share mix 40–69% | +0.20× | +0.3× |
| Rev‑share mix < 40% | −0.20× | −0.3× |
| Users > 200k / 50–200k / < 10k | +0.30× / +0.10× / −0.20× | same as revenue |
| Top‑3 operators > 70% | −0.50× | −0.8× |
| Top‑3 operators 40–70% | −0.25× | −0.4× |
Blending: Final mid valuation = 50% (Adjusted Revenue Multiple × Annual Revenue) + 50% (Adjusted EBITDA Multiple × Annual EBITDA).
Range: min and max are ±20% around the blended mid.
Worked example (illustrative)
Inputs: Revenue €25,000/month; EBITDA margin 45%; Rev‑share 70%; Users 150,000; GEO: Other; Growth +20% YoY; Top‑3 concentration 60%.
Annualized: Revenue €300,000; EBITDA €135,000.
Adjusted multiples (example): Rev mult ≈ 3.65×; EBITDA mult ≈ 8.30×.
Valuation by revenue ≈ €1.095m; by EBITDA ≈ €1.120m.
Blended mid ≈ €1.11m (range: €0.89m – €1.33m).
Projected buyer return (12m) ≈ next‑year EBITDA / price ≈ ~12% if growth sustains.
The calculator will recompute these values precisely from your inputs.
Interpreting the risk score
- Low (0–32): diversified revenue, strong growth, large audience, stable GEOs. Highest multiples.
- Medium (33–65): some concentration or mixed growth. Market‑median multiples.
- High (66–100): high operator dependency, shrinking traffic/revenue, small audience, weaker GEOs. Expect buyer discounting and heavier earn‑out use.
How to improve your score before sale:
- Diversify operator mix (no single partner > 30%).
- Tilt toward Rev Share deals where compliant.
- Lift evergreen SEO pages; reduce dependence on bonus‑spike keywords.
- Document compliance processes and link hygiene for DD.
When to trust the ‘mid’ price vs the range
Use the mid when your asset is: stable, growing, diversified, and clean on compliance/backlinks.
Lean toward the low end if: traffic is falling, GEO/regulatory risk is high, or top‑3 operator dependency > 70%.
Push the high end if: growth > 30%, strong brand/direct type‑in traffic, demonstrable pricing power with operators.
Common pitfalls that move the price
- Inflated EBITDA (excluding realistic content/tech/people costs).
- Temporary spikes (one campaign/slot launch month skewing revenue).
- Paid traffic masquerading as organic.
- Unresolved compliance/ASA/Spelinspektionen issues.
- Toxic links or PBN footprints.
Frequently asked questions
No. It’s a standardized estimate to frame negotiations. Engage a specialist for a formal valuation.
es — we can expose the base numbers and adjustment weights in an “Advanced” panel on request.
Rev Share compounds; it improves predictability and margins, which buyers pay for.
Use trailing 3–6 month averages to smooth spikes (e.g., tournaments, Christmas, big football events).
This version is tuned for affiliates/media. We can build operator/supplier variants with sector‑specific benchmarks.
Responsible note & disclaimer
This tool is for information only and does not constitute financial advice, a fairness opinion, or an offer to buy/sell any asset. Market conditions, regulation, and asset‑specific quality factors can materially impact the final price.











