WinUpGo
Search
CASWINO
SKYSLOTS
BRAMA
TETHERPAY
777 FREE SPINS + 300%
Cryptocurrency casino Crypto Casino Torrent Gear is your all-purpose torrent search! Torrent Gear

Slot Secrets - page №: 73

How operators distribute profits between providers
What make up payments to B2B partners in online casinos: rev-share models for slots and live casinos, the role of aggregators, progressive jackpots, MG/minimals and shooting nets, a "waterfall" of write-offs (GGR→NGR), reporting, disputes and auditing. We give formulas, an example of calculation and a CFO/BD checklist.
TOP-5 of stock and public companies in the field of iGaming
The five key public players shaping the landscape of global iGaming are: their business models, growth drivers, risks, and KPIs for 2025. The focus is on Flutter, DraftKings, Entain, Evolution and Light & Wonder: how they earn, how they scale and what to see for investors and partners.
How holdings consolidate brands to grow capitalization
Why do iGaming holdings collect brand portfolios and how do they turn M&A into capitalization growth: brand architecture, synergy waterfall (revenue/cost/multiple), unified platforms and data, rebranding and migrations, equity-story for capital markets. Accretion formulas, 100-day plan, KPIs and frequent traps.
Why some casinos operate without profit in the early years
The launch of iGaming and offline casinos often means 12-36 months of unprofitability: expensive traffic, licenses, platform, content, payments and bonuses "eat" margins faster than LTV is growing. We analyze the economy of the zero phase: where the money burns, which metrics "turn over" P&L, how long the payback period lasts and how to manage it. Formulas, scripts, checklists and a plan for 100 days.
How marketing expenses affect business profitability
Marketing is not an "expense," but an investment with an understandable return. We analyze how spending on channels and promotions changes LTV/CAC, margin and cash flow; where is the line between growth and budget burning; what to count in P&L; How to set ROMI/ROAS targets what levers give a quick lift and how to build a 90-day optimization plan.
TOP-10 investment areas in the gambling industry 2025
Where it is most profitable to invest in iGaming in 2025: B2B platforms, studios, live dealers, payment and KYC services, data/BI, affiliate media, LatAm/Africa/Asia markets, sports betting and lottery technologies. Monetization models, key metrics, risks, due diligence checklists, and examples of portfolio strategies.
How venture capital investments in iGaming work
Complete iGaming Venture Investment Guide: Deal Stages, Startup Valuation, Metrics (NRR, GGR, ARPPU), Legal and Compliance Dev, term sheet model terms, monetization models, risks, and exit strategies. Practical checklists for investors and funders.
Why publicity boosts investor confidence
How systemic publicity - from transparent reporting and open product roadmaps to active media expertise - reduces the risk premium, speeds up transactions and increases valuations. We analyze trust mechanisms, influence metrics, funder tools and communication checklists.
TOP-5 of M&A cases and operator consolidation
Five indicative deals in the gambling operator market: motives and synergies, what happened, where the risks were and how M&A is changing the balance of power. Разбор Flutter–TSG, Caesars–William Hill → 888, MGM–LeoVegas, Fanatics–PointsBet US и FDJ–Kindred. Practical lessons for deals in 2025.
How is the capitalization of gambling companies estimated
Complete Guide to Assessing Operator and B2B Provider Capitalization: Multipliers (EV/EBITDA, EV/Revenue, P/E), DCF, GGR/NGR Accounting Features, License and Regulatory Impact, Gray Market Discount, Payment Risk, and RG/AMR L. Checklists, formulas, examples and common mistakes.
IGaming Business Model TOP-10
We analyze ten key iGaming business models: from B2C operators and content studios to SaaS platforms, aggregators, live casino, sports tech, payment and KYC services, affiliate media and iLottery. For each model - monetization, unit economics, key metrics, cost drivers, risks and when to choose it.
How the licensing and audit budget is formed
A step-by-step budgeting model for iGaming companies: what are the costs of licenses (fees, lawyers, local directors, compliance), what audits are required (game mathematics/RNG, information security, payments, GDPR/RG), how to count CAPEX/OPEX, reserves and run-rate. Ready-made checklists, benchmarks for amounts and an example of an estimate for 12 months.
Why white label is more profitable than self-launch
We analyze when the white label model in iGaming saves budget and time: TCO vs in-house, legal and technical advantages, impact on licenses and payments, risks and restrictions. We give formulas, an example of calculating the first year, a checklist of choice and scenarios when it is better to build your own.
TOP-5 of tax and operational burden optimization methods
A practical guide for iGaming companies: how to legally reduce taxes and OPEX through jurisdiction and license architecture, transfer pricing and IP structure, VAT/indirect taxes management, payment and financial loop (PSP/treasury) and operational practices (FinOps/compliance automation). Checklists, formulas and an example of economic effect.
How companies are diversifying sources of profit
Modern iGaming holdings no longer depend on a single product or region. We analyze key diversification strategies: multi-brand, multi-vertical, B2B directions, technological services, IP-monetization, geographical expansion and M & A. How a sustainable portfolio is formed and the risk of seasonality is reduced.
777 FREE SPINS + 300%
How casinos rate players' LTV and ROI
Practical guide for iGaming: what is the player's LTV and ROI, what data and models are used (cohorts, survival/Markov, ML forecast), how to count the NGR base, retention, bonus expenses and payment commissions. Formulas, an example of calculation, dashboards and typical errors.
TOP-10 of financial indicators important to investors
What metrics actually decide the valuation of iGaming companies: NGR/NNR and "revenue quality," revenue growth and mix, gross and contribution margin, EBITDA and its "purity," NRR/Churn (B2B), LTV: CAC and Payback (B2C), cash conversion and working capital, payment health (approval/MDR), risk contour (RG/AML, SLA) and debt burden. Formulas, landmarks, red flags and ways to improve.
How AI and Big Data predict operator profits
Step-by-step guide: what data is needed for profit forecasts in iGaming, how to build features and models (time series, survival/Markov, GBM, Bayesian), how to connect NGR drivers with payments, bonuses, royalties and taxes. What-If-Scenarios, P10/P50/P90 Predictions, MLOps, Quality Metrics, RG/AML Constraints, and Typical Errors.
Why stable payments increase brand capitalization
How the speed and predictability of payouts to players reduces the risk premium, improves NGR quality and converts into growth in LTV, NPS and valuation multipliers. We analyze payment metrics (approval/MDR/cashout/chargeback), the trust of regulators and banks, the impact on CAC and ROI, treasury/PSP orchestration practices, checklists and red flags.
How companies use ARPU and Retention Rate metrics
What ARPU and Retention actually measure in iGaming, how to count them correctly (cohorts, segments, time windows), where to apply - from product analytics and monetization to marketing and finance. Formulas, examples, dashboards, thresholds, linkage to LTV/CAC, and typical errors.
Why crypto casinos are growing faster than traditional ones
We analyze how crypto casinos scale faster: ≪ payment friction, instant deposits/conclusions, lack of chargebacks, global distribution, online experiments with loyalty and "provably fair," creator economics and affiliates. We give metrics, unit economics, risks (regulatory/AML/volatility), checklists and a 90-day launch plan.
How companies use cryptocurrencies to optimize costs
Practical guide: where exactly cryptocurrencies reduce costs - payments (MDR/FX), cross-border settlements, triples and hedges, payments to partners and creators, automation by smart contracts. We analyze stable coins, on/off-ramp, tax and AML contours, effect metrics, risks and a 90-day plan.
Blockchain and transparency of financial flows in iGaming
How distributed registries make iGaming's financial flows transparent: on-chain accounting for deposits/payments, provably fair, reporting to regulators, AML/Travel Rule, tresory stablecoins, smart contracts for royalties/affiliates, and real-time auditing. Architectures, metrics, risks, checklists and a 90-day plan.
TOP-5 of Web3-based financial instruments
Five practical Web3 tools for business: stablecoins and multi-on/off-ramp, smart escrow and on-chain invoices, tokenized royalties/revshare notes, streaming payments and on-chain tumbling with RWA. Where they give savings and speed, which KPIs to track, risks (AML/taxes/smart contracts) and a 90-day launch plan.
How tokenization affects the gambling economy
A practical guide: what tokenization of iGaming ecosystems gives - from reducing CAC and accelerating cache turnover to the growth of Retention/LTV due to points, utility tokens and on-chain loyalty. We analyze models (points → token, dual-token, buyback & burn), token-sink/emission, impact on metrics (ARPU, NGR margin), compliance/taxes, inflation risks and a 90-day launch plan.
How AI helps optimize the casino economy
A complete analysis of the use of AI in iGaming operations: from targeting and anti-fraud to payments, bonuses, content mix and VIP management. Models (GBM/NN/Markov/Survival/causal uplift), metrics (LTV, ARPU, Retention, approval/MDR), data schemas, P&L effect examples, MLOps checklists, and 90-day implementation plan.
AI analysis of player behavior and revenue forecasting
How iGaming companies use behavioral data and machine learning models to predict NGR/earnings, increase retention, and optimize promos and payments. Data, features, model stack (survival/Markov, GBM/NN, sequence models, causal), quality metrics, dashboards, P&L effect examples, RG/AML constraints and 90-day implementation plan.
BI Tools and Analytics TOP-10 for iGaming Companies
Choosing a BI stack for iGaming: from Tableau, Looker and Power BI to Metabase, Mode and Superset. We analyze the pros/cons, typical dashboards (NGR, LTV, Payments Health, RG/AML), integrations with BigQuery/Snowflake/Redshift, cost benchmarks, selection criteria and a 90-day implementation plan.
How Big Data helps reduce operators' financial risks
We show step by step how big data reduces the risk premium of iGaming operators: payment failures and MDR, fraud and chargebacks, RG/AML incidents, cash gaps, FX and liquidity, credit risk of partners, operational failures. We give a data map, models (GBM/Graph/Survival/Anomaly), metrics, dashboards, stress tests and a 90-day implementation plan.
Why gambling is resistant to crises and recessions
We analyze the factors of anti-crisis stability of iGaming: "small checks - frequent transactions," a portfolio of verticals and GEO, a high share of variable costs, quick adaptation of prices/bonuses, digital distribution and payment alternatives. We show how operators protect NGR and margin, what metrics to look at, where are the risks and what to do in 90 days to pass the decline stronger than competitors.
Total Found 2200
× Search by games
Enter at least 3 characters to start the search.
Caswino Promo