In conversation with Arpit Jain, Founder & CEO, GreedyGame

The growth in the digital ecosystem has supplemented the integration of AI/ML algorithms in our lives. Today, brands across industries are leveraging the power of AI/ML in the Native Advertising space to ensure a higher reach and relevance of their campaigns.

To understand how the has the native advertising space has evolved, how can advertisers analyze ad performance, and the challenges in running campaigns in this space, we reached out to Arpit Jain, Founder & CEO, GreedyGame.

Agency Reporter – What changes have you witnessed in the evolution of Native Ads space in the last years?

Arpit Jain – Native advertising space has undergone significant changes in recent years such as:

Advanced use of AI and machine learning algorithms to automate and optimize native ad campaigns.
Use of native ad formats that are less intrusive, such as in-feed or content recommendation units.
A rise in programmatic native advertising, enabling advertisers to automate media buying and placement of native ads.
Higher adoption of native ads on mobile devices, reflecting the growing use of mobile devices to access the internet.
A rise in the use of native ads for brand building and top-of-the-funnel marketing, as well as for direct response campaigns.
Greater attention to user experience and ad quality, leading to more stringent requirements for ad content and design.

Overall, the evolution in the native advertising space has been driven by a desire to deliver more relevant, non-intrusive ads to users, while automating most of the processes.

Agency Reporter – How can advertisers analyze ad performance to drive maximum yields on digital campaigns?

Arpit Jain – There are many ways advertisers can analyze ad performance to drive maximum yields on digital campaigns. The first and obvious one is to track your Key Performance Indicators (KPIs). Advertisers need to keep an eye on metrics like click-through rate (CTR), cost per click (CPC), conversion rate, and return on ad spend (ROAS). This will give a good idea of how their ads perform and where improvement is needed.

Make best of the AI and analytics tools to gain insights into the performance of your digital campaign. GreedyGame provides these analytics with their product ‘Insights’ that provide a 360-degree overview of ad performance and app growth, helping you identify the right type of data and quickly identify the user behavior to find how efficient your ROAS(return on ad spend) is. That being said, you can use any other tools that you find suitable for your business.

Agency Reporter – Why is there a growing need for an AI-enabled ad unit recommendation and creation for implementing native ads and how can it enhance ad profitability?

Arpit Jain – The growing need for AI-enabled ad unit recommendation and creation for implementing native ads is driven by the increasing demand for more personalized and relevant advertising experiences. Consumers are becoming more immune to traditional forms of advertising, and they are seeking content that is integrated into their user experience. AI-enabled ad units can leverage data and analytics to create highly personalized ads that are relevant to the user’s needs and preferences.

Further, AI-enabled ad units can enhance ad profitability by improving the relevance and targeting of advertising content. By using data and analytics to understand user behavior and preferences, AI-enabled ad units can improve the targeting and relevance of advertising content, leading to increased engagement and conversions. This results in higher ad click-through rates, increasing revenue. Also, GreedyGame is launching an advanced version of the AI-powered one-stop monetization and growth platform, ‘PubScale’, that enables digital publishers to monetize, optimize, and grow their apps and websites. The platform is designed to help publishers and advertisers make the most of their campaigns and grow their user base.

Agency Reporter – Please shed light on some of the challenges faced by advertisers in executing mobile-first Native Ads.

Arpit Jain – The top challenges that advertisers face in executing mobile-first Native Ads is the google policy violations, lack of transparency in reporting, lack of customer support, and that is where an Ad Network agency like GreedyGame comes to help.

In addition, Ad placement and format play a crucial role. Advertisers must find the right balance between visibility and intrusive ad experience, which can be challenging on smaller screens. Similarly, mobile-first native ads come in various forms, and advertisers must choose the right format that aligns with their marketing goals and resonates with the target audience. GreedyGame’s SDK X solves this problem.

Agency Reporter – How has transparency in Native Ads become an important aspect for advertisers?

Arpit Jain – Granular insights into ad performance and monetization is essential to manage the inventory and take steps towards increasing the revenue on each ad slot. Besides, it helps you to optimize your campaigns and make actionable decisions. Identifying the right metrics is key to making data-driven decisions in the future.

Agency Reporter – Please highlight some upcoming trends in the Mobile-First Native Ads platform.

Arpit Jain – Besides wider Adoption of Native Advertising and increased spending on Native Ads, a few trends that we will be witnessing in mobile-first native ads platform are:

Increased personalization: Advertisers are focusing on personalizing the ads to match the user’s interests, preferences and behavior for higher engagement and conversions.
Interactive and Immersive experiences: Interactive and immersive ad experiences, like AR and VR, are expected to gain popularity as they provide a more engaging experience for the user.
Programmatic buying: The use of programmatic buying, which automates the buying and placement of ads, is expected to grow in popularity as it allows for better targeting and efficient media buying.
Cross-device targeting: As users increasingly use multiple devices, cross-device targeting will become increasingly important to ensure a seamless advertising experience across all devices.
Privacy and data regulation: As privacy and data regulation continues to be a hot topic, companies are looking for ways to ensure compliance while still providing targeted advertising to users.