Affilka’s Recent Product Updates: A Read-Through of Three Releases

Over February, March, and early April, Affilka, the iGaming-focused affiliate management platform by SOFTSWISS, published three product posts in succession on its company blog. Taken individually, each one reads as routine feature documentation. Taken together, they describe a coherent push in one direction: giving operator teams tighter control over what happens before a click, who can see what inside the platform, and how revenue flows through multi-level partner structures.

This piece walks through the three updates, what they change for affiliate program operators, and where we think the claims should be read with some care.

1. Deep Linking

The first post, Precision at Every Click, documents Affilka’s implementation of deep linking for affiliate referral traffic. The mechanic itself is familiar territory in digital marketing: instead of routing users through a generic homepage, an affiliate appends a custom URL to their referral link and the user lands directly on a specific destination. Affilka’s version supports, among other use cases, links that resolve to individual sportsbook events with pre-filled betslips (match, odds, stake), custom registration flows, and bonus landing pages with promo codes pre-applied.

One detail in Affilka’s own documentation is worth highlighting because it is honest about the platform’s scope: deep links only resolve correctly where the destination sportsbook or odds-comparison site supports parsing event IDs and betslip parameters. Affilka’s role, per the post, is to transport the deep-link URL through the referral while preserving affiliate tracking. The feature is therefore not a standalone capability; it is dependent on operator-side integration.

In our assessment: this is a conversion-funnel optimisation rather than a new product category. Its value to an operator will depend heavily on how well their sportsbook platform exposes the parameters the feature requires. Affiliate programs running on sportsbooks with shallow URL handling are unlikely to see the full benefit.


2. Hierarchy-Based Roles Management

The second post, Structure and Control, describes a permissioning layer that maps data visibility to an operator’s internal org chart.

The stated problem is one familiar to any affiliate program that has scaled past a handful of managers: by default, mid-level managers can often see the performance data of partners they have no operational relationship with. Affilka’s updated system lets operators define reporting lines inside the platform (a General Manager at the top, Mid-managers underneath, Affiliate Managers reporting into each Mid-manager) and then constrains data visibility to match. Mid-managers see only the partners managed by their direct reports; the General Manager retains full visibility across the tree.

The post includes two named client statements, from Aliaksandra at N1.Group and Yurii at LVLX Partners, describing the feature as addressing a long-standing request around data access control and task diversification.

In our assessment: permissioning features rarely generate excitement, but they are the kind of infrastructure that has a direct bearing on two things regulators and auditors care about: data access control and segregation of duties. What sets this particular release apart is that Affilka has strengthened existing relationships and established clear, pyramid-shaped reporting lines, building on a permissioning framework that was already in place. For operators in regulated markets, this kind of structured hierarchy is increasingly a baseline expectation, and the refinement here brings additional rigour to how Affilka handles it.


3. The Sub-affiliate Module

The third post, A Closer Look at Affilka’s Sub-affiliate Module, details the refined tooling for multi-level affiliate structures, where existing affiliates can recruit further affiliates beneath them and earn a share of the downstream performance.

Two components are described:

  • The Sub-affiliate Report: This is the data layer. It maps parent and sub-affiliate relationships and exposes filtering on date range, parent and sub-affiliate IDs, sub-affiliate levels, and campaign, reflink, and strategy identifiers. Tracked metrics include player registrations, FTD count and sum, deposits, and Sub-affiliate NGR across casino, sportsbook, and poker. Breakdowns are available by day, week, month, and year, and exports are offered in XLSX, XML, and JSON.
  • The Reward Logic: Offers two parent-commission models: a percentage of total rewards paid to child affiliates, or a percentage of the NGR generated by sub-affiliates’ players. Affilka adds that operators can layer modifiers, for example, different reward rates for different brands within a single sub-affiliate structure.

In our assessment: these updates represent a meaningful improvement to capabilities that were already part of the platform, rather than an entirely new feature set. The reporting filter set and export formats are appropriate for program managers running meaningful sub-affiliate volumes. The choice between an earnings-percentage model and an NGR-percentage model is a reasonable framing of the two common commercial structures in the industry. The question operators will want to answer is whether the reward modifier logic is flexible enough to model their existing parent-sub-affiliate contracts without workarounds.


Reading the Three Together

A consistent theme runs across the three releases. Deep linking addresses the top of the affiliate funnel. Hierarchy-based roles address the team layer inside the platform. The sub-affiliate module addresses the network structure between them.

None of the three releases describes something the industry has not seen before. What they describe, collectively, is the continued refinement and hardening of features that operators running at scale have increasingly been asking for across the category. Each update builds on what was already in place within Affilka’s platform, tightening the controls and improving the tooling rather than introducing entirely new product areas.

For operators currently on Affilka, the three posts are worth reading in full, as each contains configuration detail that is not reproduced here. For operators evaluating platforms in this category, the underlying questions remain the same ones that apply to any affiliate management system: how the platform handles data segregation under regulatory scrutiny, how well its reporting surfaces the metrics a program manager needs without workarounds, and how flexible its reward logic is against real commercial contracts. Affilka’s posts provide partial answers. For a hands-on look at these features, operators can sign up for a free demo to experience them firsthand and address any specific questions with the Affilka team directly.

  • Dimitri Dimitrov Chief Content Officer

    Dimitri is an iGaming expert with nearly a decade of experience and a knack for crafting content that speaks directly to the iGaming crowd. He understands affiliate marketing, player psychology, and search algorithms, which enables him to write engaging, data-driven articles.

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