Analytics.
The monthly affiliate report: twelve metrics that support decisions
The structure of the monthly report by sources, GEO, FTD, confirmation, costs, NGR and experiments without overloaded dashboard.
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Mikhail Mironov
Responsible for payment models, analytics, payouts, unit economics and technical integrations.
Models & analytics
Product analytics
A/B testing in an affiliate project: distinguishing a win from noise
Understandable A/B test methodology: Hypothesis, one major variable, metric, segment, and reasons why an early leader might lose.
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Partner communications
Writing to an affiliate manager: a brief that saves repeated follow-ups
The template of a meaningful first message to the manager: source, GEO, volume, model, analytics and questions on conditions.
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Partner models
Hybrid: finding the break-even point for the fixed component and RevShare
The break-even point formula for Hybrid with a illustrative example, scenario comparison and margin for fluctuations in traffic cost.
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Unit economy
Negative carryover in RevShare: its effect on the following month
We clearly explain the negative carryover, show two conditional scenarios and a list of questions before the launch of RevShare.
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Partner models
CPA: how KPI, hold and cap affect the effective rate
Explain how KPIs, holdings, and caps affect the actual CPA economy and why they need to be fixed along with the bet.
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Product analytics
Traffic segmentation: source × device × GEO without an unwieldy spreadsheet
How to build useful segments, not break data down to noise and find the real reasons for conversion drawdowns.
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Analytics.
Cohort analysis for affiliates: comparing users of the same age
A simple cohort analysis of FTD week, source and GEO: how to compare retention and RevShare on the same horizon.
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Unit economy
Payments and FTD: investigating conversion losses without guesswork
How to separate the problems of traffic quality from friction at the payment stage and what cuts to look at when registration drawdown → FTD.
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Product analytics
Mobile conversion: what to check when desktop performs better
Checklist of mobile landing page: speed, first screen, shapes, clickability, keyboard and real devices.
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Retention
Retention and LTV: why a cheap FTD can become expensive
How to evaluate the quality of the audience after the first deposit and why the cost of FTD without retention and LTV gives an incomplete picture
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Integration
Tracker and affiliate platform discrepancies: an attribution checklist
Checklist for discrepancies between tracker, analytics and partner platform: time, redirects, deduplication and event definitions.
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Integration
S2S postbacks: configuring and verifying conversion reporting
Clear postback analysis: what identifiers to transfer, how to test the event and where to look for the cause of discrepancies.
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Integration
UTM and SubID: a tagging structure that will still work next month
The practical scheme of UTM and SubID for affiliate campaigns: how to separate sources, GEO, creatives and not lose data when scaling.
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Product analytics
Landing page testing: seven hypotheses for a focused experiment
Seven easy-to-understand hypotheses for partner landing page testing and a schema that helps you understand the reason for the conversion change.
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Analytics.
Click → registration → FTD: finding conversion losses in the funnel
Step-by-step diagnostics of the affiliate funnel: how to separate the problem of creativity, landing, registration and the stage of the first deposit.
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Partner models
CPA, RevShare or Hybrid: comparing the models in three scenarios
We compare CPA, RevShare and Hybrid not by slogans, but by cash flow, risk, horizon and conditional scenarios.
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Partner models
RevShare and NGR: calculating affiliate revenue without confusion
We analyze the RevShare formula through NGR, show conditional examples and explain what deductions and rules need to be clarified before launching.
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Retention
Retention in iGaming: why FTD alone cannot tell you traffic quality
How to look at audience quality after a first deposit: cohorts, repeat activity, LTV and retention link with RevShare and Hybrid models.
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Analytics.
Why affiliate traffic fails to pay off: eight causes and a diagnostic checklist
8 reasons for the weak payback of affiliate traffic: source, landing, attribution, KPI, scaling and verification procedure.
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Analytics.
The iGaming affiliate funnel: connecting clicks, registrations, FTD and LTV
How to read an affiliate funnel by stages without looking for one “major conversion”: Diagnostics from an ad click to long-term audience value.
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Payments and analytics
iGaming payments: investigating conversion losses before the first deposit
What to check if there are registrations and the first deposits are less than expected: GEO, currency, payment methods, form errors, limits and attribution.
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Partner communications
An affiliate specialist’s personal brand: what helps in negotiations
How public expertise, transparent cases, an understandable brief and reputation in the professional community help to discuss terms without made-up promises.
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Offers and conditions
Bonuses in iGaming affiliate marketing: comparing offers without overpromising
What bonus parameters are important in addition to a large number: conditions, wagering, term, limits, GEO and the correspondence of the advertising message to the actual landing.
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Analytics.
Affiliate traffic analytics: choosing tools for the right tasks
Tracker, web analytics, affiliate platform, cost table and cohort report: how to build a minimum stack without duplication of indicators.
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Practice and analytics
The first 90 days of an affiliate campaign: a learning scenario and checkpoints
How to organize the first 90 days of an affiliate campaign: analytics, tests, checkpoints and scaling without a fictitious case
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Practice and analytics
Common iGaming affiliate mistakes: ten problems in your data and processes
Not a list of platitudes, but practical diagnostics: mixed SubIDs, weak attribution, early scaling, incorrect payment model and no stop rules.
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Partner models
Choosing an iGaming affiliate program: a checklist before your first campaign
What questions to ask before launch: payment model, NGR, KPI, hold, cap, sources, GEO, payments, statistics and dispute resolution procedure.
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