The online poker industry has witnessed unprecedented growth in recent years. With a surge in digital platforms offering poker classes, understanding the industry dynamics can offer key insights and strategic advantages. This piece discusses the primary findings and strategic insights of the online poker class industry, drawing from a myriad of interdisciplinary fields, including economics, law, and statistics.

To begin, it's pertinent to comprehend the essence of online poker classes. These classes are digital learning platforms that equip learners with the required skills and strategies to excel in the poker world. These skills range from fundamental poker strategies to advanced game theory optimization (GTO) techniques used by professionals. GTO, defined by its mixed strategy equilibrium where no player can improve their situation by deviating unilaterally, finds its roots in economics and mathematics, making it an ideal tool for players looking for a statistical edge in poker.

The landscape of these online poker classes is international and digital, given the advent of advanced technologies and the internet. The increase in high-speed internet access across the globe has facilitated the rapid growth of this industry. The online poker class industry is remarkably flexible, with classes being offered 24/7, catering to different time zones and flexible schedules of the users.

Interestingly, the burgeoning market for online poker classes marks a strategic shift from traditional, face-to-face poker learning. The digitization offers a scalable model, enabling a larger audience reach at a fraction of the logistical cost. This market dynamics echoes the economies of scale principle, where the average cost per unit decreases with increased output, thereby enhancing profitability.

The influx of new platforms offering online poker classes has intensified the competition. To navigate this competitive landscape, the use of strategic insights becomes crucial. One such strategy is the niche targeting of audiences based on their poker skill levels. For instance, platforms can offer beginner, intermediate, and advanced level classes, thereby broadening their market reach while ensuring tailored poker education.

Another crucial consideration is technological innovation. The incorporation of technologies like Artificial Intelligence (AI) and Machine Learning (ML) can revolutionize the online poker class industry. AI and ML can offer personalized learning experiences by adapting to the learning pace and style of individual users. This personalized approach not only enhances user engagement but also optimizes the learning outcome. Nevertheless, these technological adoptions come with their own set of challenges, including data security and privacy, requiring regulatory and legal considerations.

Furthermore, premium pricing strategies, offering exclusive content and more immersive learning experiences, can be a viable approach in this industry. This premise draws on the economic theory of price discrimination, where companies charge different prices for the same product based on consumer's willingness to pay. However, striking a balance between affordability and profitability can be a significant challenge in such a strategy.

In conclusion, the online poker class industry is a rapidly evolving landscape with immense potential for growth and profitability. The key to success in this industry lies in effective strategic planning, innovative technology integration, a deep understanding of market dynamics, and legal acuity. A calculated blend of these strategies can unlock remarkable success in the online poker class industry. While this discussion presents an in-depth view of the current industry scenario, it's significant to note that the online poker class industry, like any other, is subject to market uncertainties and changes. Thus, continuous learning and adaptability is the need of the hour for players in this industry.