The Affiliate Marketing Podcast

How do affiliate programs scale when teams, partners, and data become more complex?
In this episode, we sit down with Margarita Prokopchik, Chief Business Development Officer at Affise, to explore how affiliate marketing has evolved over the past seven years and why affiliate program automation has become increasingly important for managing modern programs.
Margarita shares her journey from joining Affise as a sales manager to becoming Chief Business Development Officer, while reflecting on the industry’s shift from simple tracking setups and postbacks to advanced integrations, automated workflows, and enterprise-level requirements.
The conversation explores how AI is being used in affiliate technology, why many companies confuse automation with true AI, and what businesses should look for when evaluating AI-powered platforms. Margarita also explains how machine learning has supported performance marketing for years and why the next stage of development will depend on giving businesses the infrastructure to build and connect their own AI workflows.
We also discuss the growing role of mobile measurement partners, attribution beyond last-click tracking, and how affiliate management automation can reduce repetitive tasks. This can give affiliate managers more time to focus on partner relationships, strategy, and sustainable growth.
Key Takeaways on Affiliate Program Automation 
How affiliate marketing has evolved from simple tracking to complex enterprise ecosystems
Why media buyers now require more advanced technology and reporting capabilities
The difference between real AI integration and AI being used as a marketing buzzword
How machine learning has supported performance marketing for years
Why businesses need flexible infrastructure to connect their own AI tools
The role of mobile measurement partners in understanding the full customer journey
How automation can reduce manual affiliate management tasks
Why permission systems and structured workflows matter for scaling global teams
The importance of human relationships in managing international affiliate programs

Why Affiliate Programs Need More Advanced Technology

Seven years ago, many affiliate programs were focused on simpler questions: is tracking working, are conversions firing, and are postbacks set up correctly?
Today, the industry looks very different. Margarita explains that affiliate programs now manage larger teams, more sophisticated media buyers, multiple markets, and higher expectations from technology partners.
Media buyers have evolved from individual operators into large organisations with dedicated teams, analytics departments, and structured processes. This growth has created a need for technology that can handle more complex tracking, reporting, and optimisation requirements.
The result is a shift towards platforms that provide deeper visibility, automation, and flexibility as businesses scale.

How Affiliate Program Automation Reduces Manual Work

One of the biggest challenges facing affiliate managers today is workload.
Margarita explains that affiliate managers are expected to manage relationships, analyse performance, solve technical issues, negotiate deals, and react to market changes making it one of the most demanding roles in digital marketing.
Automation can help remove repetitive tasks and give teams more time to focus on strategic activities. In one case study discussed during the episode, automation reduced affiliate manager workload by 30%, creating more capacity for partner development and relationship building.
For enterprise teams managing hundreds or thousands of partners, having the right permissions, workflows, and automation systems becomes critical for sustainable growth.
What You Will Learn About AI, Attribution and Scaling 
Why AI is often misunderstood in affiliate technology
How to identify genuine AI capabilities versus AI marketing claims
Why APIs and flexible infrastructure are becoming more important
How MMPs help brands understand the complete customer journey
How automation can help affiliate teams scale without adding unnecessary complexity
Why human relationships remain central to affiliate success
Timestamps
 02:30 – How affiliate marketing has evolved over the past seven years
 07:00 – Separating real AI from AI washing in affiliate technology
 14:11 – Why mobile measurement partners matter for attribution
 22:10 – How permission systems help enterprise teams scale
 31:10 – How automation reduced affiliate manager workload by 30%
 36:36 – Rapid-fire insights on attribution, AI, and sustainable growth
Scale Affiliate Programs Without Losing the Human Element 
Affiliate programs are becoming more complex but the right technology can help teams manage that complexity without losing the human side of partnerships.
In this episode, Margarita shares how automation, AI, attribution tools, and smarter workflows are helping affiliate teams improve efficiency and make better decisions. Reach out to Affise for more information or have a look at their Case Studies HERE.
Interested in taking part in the Affiliate Marketing Podcast? Contact our team to find out sponsorships opportunities and how we can help get your brand seen and heard in front of the right audience - contact sales@affiverse.com for more information.
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Entering a new market is not just about translating content. For affiliates, operators, and advertisers, successful expansion depends on whether the message, brand, terminology, and offer actually make sense to the audience they are trying to reach.
In this episode of the Affiliate Marketing Podcast, Lee-Ann is joined by Barb Tasci, CEO of All-in Global and Co-Founder of the Revpanda Group, to discuss how AI localisation for affiliate marketing is changing the way businesses scale content across languages, markets, and channels.
Barb explains how Revpanda’s acquisition of All-in Global expanded the group’s wider marketing ecosystem, why localisation expertise has become more important in the AEO era, and how CRAIG, an AI-powered localisation solution, is designed to help businesses balance speed, quality, and cost.
The conversation also looks at how AI localisation can help affiliates test new markets faster, launch campaigns more efficiently, and build a stronger presence across multiple regions without relying too heavily on one channel.
Together, they also look at how AI localisation could change affiliate expansion strategies by allowing teams to test new markets faster, launch campaigns more efficiently, and build a stronger presence across multiple regions. Finally, Barb shares his thoughts on why relying on a single channel is becoming increasingly risky and why sustainable growth will come from a broader marketing approach.
Key Talking Points on AI Localisation and Affiliate Growth 
How Revpanda’s acquisition of All-in Global created a wider ecosystem of services
Why localisation remains a major challenge for iGaming businesses expanding internationally
How CRAIG combines AI technology with specialist localisation knowledge
Why generic AI translation tools struggle with context, terminology, and consistency
How AI localisation helps affiliates expand into new markets faster
The importance of balancing speed, quality, and cost in content production
Why multi-channel marketing will become increasingly important for sustainable growth

Why AI Localisation Matters for Affiliate Market Expansion

Expanding into new markets requires more than simply translating words. Businesses need content that understands local language, terminology, cultural context, and industry requirements.
Barb explains that many companies struggle with localisation because traditional workflows can become expensive and slow, especially when entering smaller markets where finding reliable vendors is difficult.
For operators launching campaigns or affiliates testing new markets, delays can mean missed opportunities. In competitive industries like iGaming, being able to launch localised content quickly can make the difference between entering a market early or following competitors.
This is where AI-powered localisation is changing the process; helping businesses move faster while maintaining consistency and quality.

How AI Localisation Combines Speed With Human Expertise

While tools like ChatGPT and other large language models have made translation more accessible, Barb explains that generic AI solutions do not always understand the specific requirements of localisation.
The difference with CRAIG is the combination of AI technology with All-in Global’s years of localisation expertise, including terminology, branding guidelines, and industry-specific knowledge.
Barb highlights that AI should not replace people, but instead enhance how teams work. CRAIG includes human support, onboarding, and ongoing optimisation to ensure businesses get content that matches their requirements.
For affiliates and operators, this creates the opportunity to scale content production, test more markets, and adapt campaigns faster without sacrificing quality.
Listen to Find Out More About AI Localisation
How Revpanda and All-in Global are building a wider marketing ecosystem
Why translation alone is not enough for successful market expansion
How CRAIG compares with generic AI translation tools
How affiliates can use AI localisation to test new opportunities
Why sustainable growth will require multi-channel strategies
Timestamps
[02:20] – Barb’s journey from competitor to CEO of All-in Global
[05:15] – Why localisation has been difficult to scale and how CRAIG was created
[07:00] – Solving the quality, speed, and cost challenge in translation
[19:00] – How affiliates can use AI localisation to expand into new markets
[32:30] – The future of affiliate marketing and why multi-channel strategies matter
Listen to the Full Episode on AI Localisation and Affiliate Growth
Localisation is becoming more than a translation process, it is becoming a growth advantage.
In this episode, Barb Tasci explains how AI-powered localisation can help affiliates, operators, and advertisers expand faster, reduce operational challenges, and create better experiences for audiences across different markets. To find out more about All-in Global and CRAIG, visit https://all-in.global. 
Interested in taking part in the Affiliate Marketing Podcast? Contact our team to find out sponsorships opportunities and how we can help get your brand seen and heard in front of the right audience - contact sales@affiverse.com for more information.
Sign up for the Affiverse Newsletter at affiversemedia.com
Already subscribed? Share this episode with any affiliate, operator, or affiliate manager working to build trust in online gaming.
Subscribe to the Affiliate Marketing Podcast on Apple Podcasts
Subscribe to gain insights into scaling campaigns with accountability, sensitivity, and trust, even in the era of AI and automation.
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What happens when affiliate marketing is no longer just SEO, and media buying becomes a core part of user acquisition strategy?
Lee-Ann Johnstone sits down with Kamila Łuksza-Szpyt, Managing Director and Marcin Kumięga, Director of Business Development at Voluum to discuss how iGaming and affiliate programs are shifting away from single-channel dependency and into a multi-layered acquisition model driven by affiliate media buying strategy, AI, and real-time optimisation.
For years, SEO affiliates and review sites dominated acquisition strategies. But that model is breaking down under pressure from AI search, rising traffic costs, and changing user behaviour. The result is a major shift: brands are now forced to rethink what “affiliates” actually mean, and expand into broader user acquisition strategies.
Kamila and Marcin break down what is really changing inside the industry; traffic diversification and testing budgets to tracking, attribution, and why many programs fail in their first 30–60 days of media buying.

Affiliate Media Buying Strategy: Key Talking Points 

Why SEO-only affiliate strategies are losing visibility in iGaming
How AI search and Google AI Overviews are changing traffic distribution
Why media buying is becoming a core user acquisition channel
Why data tracking and technical setup are critical for success
How AI is changing optimisation and reporting workflows
Why affiliates and media buying should not be treated as competing channels
The role of attribution in connecting campaigns across the funnel

Why iGaming Is Moving From SEO to Multi-Channel Acquisition

The traditional iGaming model relied heavily on SEO affiliates, comparison sites, and review pages to drive traffic. That model worked because search behaviour was stable and predictable.
Kamila and Marcin explain that this is no longer the case. AI-driven search, Google AI Overviews, and shifting consumer behaviour are reducing organic visibility and pushing brands to rethink their dependency on SEO.
At the same time, media buying channels such as push, pop, native, programmatic, and paid social are opening up at scale. This creates a wider, more competitive acquisition environment but also a much larger opportunity pool.
Instead of relying on one predictable funnel, brands now operate across multiple fragmented touchpoints, making diversification not optional, but necessary.

The First 60 Days: Where Most Media Buying Strategies Fail

One of the strongest insights from the episode is how many programs fail early due to poor setup and expectations.
Kamila highlights two consistent issues:
Brands expect fast ROI without proper testing phases
Budgets are either too small or too widely spread across traffic sources
Marcin adds that another major issue is mindset: many operators still treat media buying as a replacement for affiliates rather than a complementary user acquisition channel.
The reality is that successful campaigns rely on structured testing, proper tracking setup (UTMs, postbacks, attribution), and a clear understanding of what success actually means before scaling begins.
Without this foundation, optimisation becomes guesswork rather than strategy.

Listen to Learn More About Affiliate Media Buying and AI 

Why SEO alone is no longer a sustainable acquisition strategy
How AI is reshaping both traffic and optimisation workflows
What brands consistently get wrong in the first 30–60 days of media buying
Why tracking infrastructure is critical for performance marketing success
How to properly structure testing budgets across multiple traffic sources

Timestamps to Go Direct

[03:22] Why AI search is reducing organic traffic
[06:55] Biggest mistakes brands make when starting media buying
[08:55] Why tracking and technical setup determine success
[10:58] Funnel differences between SEO and paid media
[15:00] Budget allocation and traffic source strategy
[25:50] How AI is changing media buying workflows
[32:15] Real-world success case: +30% conversion rate uplift
[36:54] Rapid fire: AI, LTV, and scaling mistakes

Call to Action

Media buying is no longer treated as a side experiment by many affiliate programs. It is becoming part of a broader user acquisition strategy, sitting alongside SEO, partnerships and other performance channels.
Kamila and Marcin from Voluum break down exactly how brands can approach this shift with structure, testing discipline, and the right tracking infrastructure to avoid costly early mistakes.
If you’re working in affiliate marketing, user acquisition, or performance media, this episode shows what is changing right now — and what you need to fix before scaling.
Sign up for the Affiverse Newsletter at affiversemedia.com
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How AI is Democratising and Personalising Affiliate Program Management 

What actually happens when AI moves from buzzword to something you can use inside an affiliate program every single day?
Today, Lee-Ann sits down with Michael Cole, CMO at Everflow, to break down how AI is already changing the way affiliate programs are tracked, managed, and scaled, not in theory, but in real workflows being used today.
Michael shares how teams are moving away from developer-heavy processes and instead building lightweight automations, dashboards, and reporting systems directly through AI tools. The shift in using AI is not about replacing people but instead removing the bottlenecks that stop affiliate managers from doing higher-value work.
Michael also explains where AI breaks down, why judgment still sits firmly with humans, and how affiliate managers can finally reclaim time for strategy, partner growth, and relationship building instead of drowning in reporting and admin tasks.
You can find a variety of AI Use Case Recipes at https://www.everflow.io/ai-playbook. 

Key Talking Points on AI Affiliate Program Management 

How AI is enabling affiliate managers to build tools without developers
Why API-first platforms are becoming more powerful in an AI-driven workflow
Where AI fails: judgment, nuance, and decision-making under context
Why affiliate managers should focus less on admin and more on relationships
How “headless” systems are changing how data is used across teams
The future of affiliate management roles in AI-powered environments

From Manual Reporting to AI-Driven Affiliate Program Management 

Affiliate management has traditionally been weighed down by reporting, spreadsheets, and manual data pulls. Michael Cole explains how AI is changing that dynamic by allowing teams to build lightweight automation layers on top of existing platforms like Everflow.
Instead of waiting for development cycles, affiliate managers can now generate dashboards, connect systems like HubSpot or Slack, and automate weekly reporting using simple AI-assisted workflows. The biggest shift isn’t just speed, it’s control. Managers can finally design reporting structures that reflect how they actually think about performance, not how tools force them to report it.
This unlocks a more precise understanding of affiliate performance, including deeper attribution, behavioral signals, and revenue impact beyond surface-level metrics.

Why AI in Affiliate Marketing Still Needs Human Judgment 

While AI is powerful at processing data and generating outputs, Michael is clear on one point: it lacks judgment. AI can summarize, analyse, and connect systems, but it struggles with context, nuance, and decision-making. A drop in performance might be seasonal, strategic, or completely normal but AI alone can misinterpret that without human direction.
This is why the role of the affiliate manager is shifting, not disappearing. The focus is moving away from repetitive admin tasks and toward higher-value work: interpreting insights, managing relationships, and deciding what actually matters for growth.
The real opportunity is not automation replacing people, it’s automation clearing space for better decisions.

Listen to Learn More About AI for Affiliate Managers 

How affiliate managers are building custom tools without developers
Real-world examples of AI-powered reporting inside Everflow
Why AI struggles with context and judgment in performance analysis
How headless systems are changing affiliate data access
Why the future of affiliate management is more strategic, not less human

Timestamps

[03:47] How AI enables non-developers to build automation workflows
[08:40] Why AI coding in spreadsheets is becoming a core workflow
[12:38] How affiliate managers are using AI for reporting and CS insights
[15:34] What “headless” means for affiliate platforms like Everflow
[23:49] Where affiliate managers should start with AI adoption
[31:30] The future of SaaS, APIs, and AI-built affiliate systems

Listen to the Full Affiliate Marketing Podcast Episode 

AI is already reshaping how affiliate programs are built and managed but the real shift isn’t technical, it’s operational.
This episode with Michael Cole from Everflow breaks down how affiliate managers can move from manual reporting to intelligent, AI-assisted workflows that free up time for strategy, partner development, and performance growth.
If you’re working in affiliate marketing, this is the moment to understand what AI actually changes inside your day-to-day role and where it doesn’t. Learn more about Everflow: https://www.everflow.io.
Sign up for the Affiverse Newsletter at affiversemedia.com
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How Affiliates Can Spot Casino Fraud and Build Trust in Online Gaming

Welcome back to a brand new season of the Affiliate Marketing Podcast!
In Season 26, Episode 1, Lee-Ann Johnstone speaks with James Elliott, founder of Gamecheck, about casino fraud, cloned casino games, and the growing need for trust in online gaming affiliate marketing.
As fake casino content becomes harder to spot, affiliates face a bigger responsibility when choosing which operators and games to promote. James explains how Gamecheck identifies cloned games, verifies casino content, and helps players, affiliates, and operators make safer decisions in a fast-moving iGaming market.
The conversation also covers regulatory compliance, emerging market risks, AI-driven game production, and the practical steps affiliates can take to protect their audiences, strengthen credibility, and promote genuine online casino experiences.

Casino Fraud and Affiliate Trust Talking Points:

How cloned casino games affect players, operators, and affiliates.
The history and mission of Gamecheck in identifying fake games.
Methodologies for investigating casino websites and verifying authenticity.
The importance of trust, transparency, and compliance in affiliate marketing.
How emerging markets and AI-driven content are accelerating the challenge.

The Rise of Fake Casino Games and Cloned Casino Content

James explains that cloned casino games have been a persistent problem in the online gaming industry for years. These fake sites can replicate graphics and gameplay but often misrepresent outcomes or exploit players’ personal information. With the growth of white-label casinos and emerging markets, affiliates and operators must remain vigilant. Gamecheck aggregates intelligence from multiple providers to create a single, reliable source for checking legitimacy, reducing duplicated efforts, and protecting the ecosystem.

How Affiliates Can Promote Verified Casino Content

Gamecheck empowers both players and affiliates by offering tools to verify casinos before depositing. The Gamecheck Seal, a QR code on approved sites, allows instant verification of authenticity. Affiliates can now promote only verified operators, ensuring consumer trust and protecting their own reputations. James emphasises that even in regulated markets, vigilance is crucial, and collaboration between affiliates, operators, and providers is key to sustaining trust in the industry.

Listen to Learn How Affiliates Can Reduce Casino Fraud Risk:

How Gamecheck detects cloned casino games and protects the ecosystem.
Why affiliates should care about authenticity and consumer trust.
The growing challenge of AI and rapid game replication.
Best practices for building credibility in online gaming affiliate programs.
Real-world impact: reducing fraud, protecting players, and promoting trusted operators.

Key Timestamps to go Direct:

 [01:50] The problem of cloned casino games in the industry
 [06:33] How Gamecheck identifies fake games and investigates URLs
 [08:37] Gamecheck Seal and tools for affiliates and players
 [23:25] AI, rapid game production, and emerging market risks
 [31:30] How affiliates can engage with Gamecheck and promote trusted content

Get More Affiliate Marketing Podcast Insights

Protect your players and build credibility by promoting verified casino content. James Elliott shares how Gamecheck is helping affiliates, operators, and players navigate a complex, fast-growing market. Visit Gamecheck to verify casinos, access tools, and ensure your affiliate campaigns promote trustworthy operators.
Sign up for the Affiverse Newsletter at affiversemedia.com
Already subscribed? Share this episode with any affiliate, operator, or affiliate manager working to build trust in online gaming.
Subscribe to the Affiliate Marketing Podcast on Apple Podcasts
Subscribe to gain insights into scaling campaigns with accountability, sensitivity, and trust, even in the era of AI and automation.
Click here to rate and review, scroll to the bottom, tap to rate with five stars, and select "Write a Review."

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