Ad-supported revenue models let businesses offer free or low-cost content while earning money through ads. These models work by selling ad space to advertisers, often using user data to target specific audiences. Here are five popular models driving growth:
- Freemium with Ads: Free version with ads, plus a paid, ad-free upgrade (e.g., Spotify).
- Sponsored Products/Search Ads: Ads integrated into search results, charging advertisers per click.
- Rewarded Video Ads: Users watch ads in exchange for rewards, popular in gaming apps.
- Native/Display Ads: Ads that blend into content (native) or appear as banners (display).
- Hybrid Streaming (AVOD): Tiered plans combining subscriptions and ads (e.g., Netflix‘s ad-supported tiers).
Each model balances user experience with revenue generation, offering scalable solutions for businesses to grow. Below is a quick comparison of these models.
Quick Comparison
| Model | Key Feature | Use Cases | Revenue Potential |
|---|---|---|---|
| Freemium with Ads | Free tier with ads, paid upgrade | Streaming, apps, games | eCPMs of $10–$25 in Tier 1 markets |
| Sponsored Products/Search Ads | Ads in search results, pay-per-click | E-commerce, niche audiences | ROI of 5:1 or higher |
| Rewarded Video Ads | Ads for rewards (opt-in) | Mobile games, lifestyle apps | eCPMs between $15–$55 |
| Native/Display Ads | Blended/native or traditional banners | Websites, e-commerce | CPMs from $0.50–$50 |
| Hybrid Streaming (AVOD) | Ad-supported streaming tiers | OTT platforms, global markets | ARPU higher than single-revenue models |
These models offer diverse, scalable ways to generate income while keeping content accessible. The key is finding the right balance between ads and user satisfaction.
Comparison of 5 Ad-Supported Revenue Models: Features, Use Cases, and Revenue Potential
The Advertising Business Model: Unlocking Revenue 📈💡
sbb-itb-2fdc177
1. Freemium with Ads Model
The freemium with ads model offers users a free, ad-supported version of a product, while providing an optional paid upgrade to enjoy an ad-free experience. This strategy not only attracts a large user base but also generates revenue through ads, helping to cover the costs of non-paying users. Spotify is a prime example: in Q4 2024, it reported 675 million monthly active users, with 263 million paying for premium and 412 million using the ad-supported free tier. This setup highlights how a mix of high user volume and targeted ads can drive revenue and encourage gradual upgrades to premium subscriptions.
Use Cases
This model works well for music streaming platforms, productivity tools, and mobile games. The free tier helps establish user habits and showcases the product’s value. Many modern apps combine ads for casual users, subscriptions for heavy users, and in-app purchases to boost their average revenue per user (ARPU). For instance, music apps often use features like skip limits and periodic ad interruptions to encourage frequent users to switch to premium plans.
Benefits
When executed thoughtfully, this model feels like a "fair trade" to users. Rewarded video ads – where users choose to watch ads in exchange for premium features – can achieve eCPMs of $10–$25 in Tier 1 markets. This approach ensures even users who never upgrade contribute baseline revenue. In the SaaS industry, conversion rates from free to paid tiers typically range from 2% to 5%, meaning most users will remain on the ad-supported version. Beyond immediate ad revenue, the model scales effectively by leveraging large user bases.
Scalability
With no upfront costs for users, the freemium model encourages viral growth as users easily share the product. A large free user base also generates valuable data on user behavior, which can improve ad targeting and inform strategies to upsell premium tiers. However, it’s crucial that the free tier provides enough value to retain users – if it feels like a basic demo, users may lose interest before considering an upgrade. Striking the right balance is key: the free tier should be engaging while clearly highlighting the advantages of the premium version.
Audience Engagement
As the user base grows, well-placed ads can enhance both engagement and revenue. Ads should be positioned at natural transition points and use frequency caps to avoid annoying users. Additionally, displaying locked premium features within the app’s interface can subtly remind free users of what they’re missing, creating a psychological push toward upgrading. With the mobile app market projected to hit $333.9 billion in 2025 and global ad spend nearing $390 billion, this model is becoming an increasingly appealing option for digital businesses aiming for sustainable growth.
2. Sponsored Products and Search Ads Model
The Sponsored Products and Search Ads model charges advertisers only when users click on their ads, seamlessly integrating these ads into search results. These ads often appear as sponsored links in search engine results or as text ads on third-party websites. Unlike display ads that can disrupt the browsing experience, these ads blend naturally into search results, maintaining a smooth user experience while driving conversions. This approach works especially well on platforms where users are already engaged in organic search activities.
Use Cases
This model is particularly effective for monetizing niche audiences, especially in cases where traditional programmatic ads might fall short due to limited reach. E-commerce sites, platforms with advanced search capabilities, and niche marketplaces see the most success here. Advertisers are willing to pay a premium for these placements because they capitalize on the trust and relevance that the platform has built with its audience. Since the ads align with what users are actively searching for, the path to conversion feels shorter and more intuitive.
Benefits
Publishers often use Earnings Per Click (EPC) to measure which sections of their platform perform best. For instance, Google AdSense – one of the leading platforms for this model – offers publishers a revenue share of 51% to 68%, depending on whether the ad appears in search results or other content. From a marketing perspective, a 5:1 ROI is typically considered a solid benchmark, while anything below 2:1 is generally seen as unprofitable. Automated bidding tools like Target ROAS (Return on Ad Spend) or CPA (Cost Per Action) help advertisers manage their budgets effectively, with algorithms fine-tuning bids to maximize performance.
Scalability
As traffic increases, so does revenue potential. This model is particularly appealing to startups and small businesses because of its low barriers to entry. Algorithms play a key role by optimizing ad placements to boost engagement. Additionally, programmatic advertising and automated bidding make scaling straightforward without requiring a lot of manual effort. However, ad revenue can be unpredictable, influenced by factors like seasonal trends, shifts in market conditions, or changes in platform algorithms. To mitigate this, mixing search ads with other formats like display or video ads helps capture a broader audience.
Audience Engagement
To keep users engaged, it’s essential to prioritize ad placement that enhances – not disrupts – the user experience. Modern ad services allow flexibility in choosing where to place ads, such as in sidebars, banners, or even within content, without interfering with navigation. A/B testing can help identify which placements work best. Ensuring that users land on pages with a strong user experience, clear calls-to-action, and persuasive content maximizes the value of each click. The goal is to strike a balance where ads feel like helpful answers to user queries rather than interruptions, creating a win-win for both users and publishers.
3. Rewarded Video Ads Model
The Rewarded Video Ads model gives users the option to watch ads in exchange for rewards. These ads are short, non-skippable videos (15–30 seconds) that offer incentives like virtual currency, extra lives, or premium content access. This opt-in format leverages a sense of psychological commitment, driving completion rates above 95%, compared to only 60–70% for forced ads. By respecting user choice and offering tangible benefits, this model creates a win-win situation for both users and app publishers. Let’s explore its applications, revenue potential, scalability, and impact on engagement.
Use Cases
While this model is most common in mobile gaming, it’s branching out into apps focused on lifestyle, education, and public connectivity. For example, in 2025, global gaming company CookApps integrated rewarded video ads to offer extra lives at key moments, boosting average session lengths by 211%. Similarly, Chinese developer Avid.ly used these ads to let users preview premium features, leading to a 40% revenue increase and users spending 20% more time in-game. The key to success lies in placing ads at natural breaks – like after a failed level or when resources run out – when users are most open to engaging.
Benefits
Rewarded video ads deliver high returns. They generate eCPMs between $15 and $55 per 1,000 impressions – 2 to 3 times higher than standard video ads. In Q4 2024, average rates in the US hit $19.63 on iOS and $16.49 on Android. Publishers report an average 41% increase in ad revenue after adopting this format. Beyond revenue, these ads also drive user behavior: users who engage with rewarded ads are 4.5 times more likely to make in-app purchases. About 80% of users opt in to watch these ads, and 71% of gamers prefer them over spending money directly.
Scalability
This model is highly scalable, especially since it monetizes the majority of users who typically don’t spend money in-app. Survivor Idle Run, for instance, achieved a 170% global ROAS, outperforming traditional video campaigns by 71%. Rewarded video ads work across various platforms, from mobile apps to desktop software, with programmatic tools managing optimization and forecasting with minimal manual intervention. To maintain balance, it’s recommended to limit these ads to 3–5 views per user daily, include 15–30 minute cooldowns, and set reward values at 5–10% of the lowest in-app purchase price to avoid undermining direct sales. This balance ensures long-term revenue growth for ad-supported models.
Audience Engagement
The data shows strong engagement metrics. Users who watch at least one rewarded video in their first week have a 30-day retention rate of 53.2%, far exceeding the industry average of 12–13%. Session lengths also increase, with 53% of players reporting extended playtime – often 2 to 3 times longer. Perhaps most strikingly, 50% of users say they’d be less satisfied with an app if rewarded video ads were removed. These ads create a positive feedback loop, offering resources that keep users engaged while fostering goodwill toward both the app and advertisers.
4. Native and Display Ads Model
The Native and Display Ads Model offers a practical way for publishers to generate revenue while maintaining user engagement. This approach blends two ad formats: display ads, which are traditional banners placed around content, and native ads, which seamlessly integrate into the site’s design. Together, these formats increase visibility while ensuring a more natural user experience. In 2023, U.S. marketers allocated nearly $100 billion to native advertising, accounting for about 63% of total digital display ad spending. This shift highlights a critical insight: users tend to overlook standard display ads over 80% of the time, but native ads attract attention 53% more often.
Use Cases
Display ads are straightforward, often appearing as banners in headers, sidebars, or between sections of content. On the other hand, native ads are designed to blend into the content flow, showing up as in-feed cards, content recommendation widgets like "You may also like", or promoted listings in e-commerce. A great example is Taco Bell India’s "See a six, catch a taco" campaign during the ICC Men’s T20 World Cup, which achieved 12 million impressions and video completion rates exceeding 55%. The takeaway? Display ads work best for wide-reaching campaigns, while native ads excel at engaging users on a deeper level.
Benefits
Native ads consistently outperform traditional display banners in terms of click-through rates (CTR). While display ads typically deliver CTRs between 0.05% and 0.35%, native ads achieve rates of 0.20% to 0.50%. Beyond clicks, branded native content boosts brand awareness by 9–10 points and achieves 81% aided recall, compared to 63% for unaided recall. Another advantage of native ads is their ability to bypass ad blockers, which are used by 32.8% of internet users. This leads to more "high-attention impressions", which can drive conversion rates up by as much as 130% compared to low-attention impressions.
Scalability
Both native and display ads can scale effectively through programmatic platforms using the OpenRTB Native specification. This allows them to compete in unified auctions alongside video ads. Content recommendation widgets often operate on a cost-per-click (CPC) model, with effective CPMs ranging from $0.50 to $3.00. Programmatic native ads typically command CPMs between $1.00 and $5.00, while premium direct-sold branded content can fetch CPMs of $10 to $50 or more. To maintain performance at scale, it’s crucial to limit native ad density to under 25% of total feed items, position in-feed ads after the 3rd or 4th editorial card, and use responsive templates that adapt for mobile traffic, which often accounts for 60% to 70% of overall site visits.
Audience Engagement
Transparency is key to maintaining trust while using native ads. The Federal Trade Commission advises that ads should be clearly labeled as such, using terms like "Sponsored" or "Ad". Research from Lumen reveals that ads viewed for longer durations are more likely to leave a lasting impression. To prevent ad fatigue, apply frequency caps of 3 to 5 impressions per user per week. Additionally, 91% of consumers prefer non-intrusive ad formats that let them choose when and where to engage with brands. This preference makes native ads especially effective – they minimize banner blindness, reduce bounce rates, and encourage longer session durations, all while maintaining the broad reach of display advertising.
5. Hybrid Ad-Supported Streaming Model (AVOD)
The Hybrid Ad-Supported Streaming Model combines subscription fees with advertising revenue to tackle subscription fatigue and diversify income. Platforms using this model offer tiered plans: free with ads, low-cost with fewer ads, and premium with no ads. This approach creates multiple revenue streams while keeping budget-conscious viewers engaged. By 2025, major platforms like Netflix, Disney+, and Amazon Prime Video are expected to adopt this model as the standard. Currently, 54% of SVOD subscribers also pay for at least one ad-supported plan, reflecting an 8% rise in just a year. This tiered structure strikes a balance between user choice and revenue growth.
Use Cases
The hybrid model addresses both revenue generation and subscriber retention. It helps reduce churn by offering subscribers the option to downgrade instead of canceling during price increases. For instance, 60% of viewers said they would likely cancel a service if its price rose by just $5 per month. Additionally, this model acts as a monetization funnel, drawing users in with free or affordable tiers and gradually encouraging upgrades to premium plans.
Platforms also use first-party data for targeted advertising. Disney+, for example, employs tools like "Audience Graph" and "Disney Select" to segment user behavior into 1,000–2,000 categories. Brands such as Chipotle, United Airlines, and T-Mobile use these insights to deliver ads during strategic moments in content. The model is also effective in price-sensitive regions like Asia-Pacific and Latin America, where high subscription costs have historically hindered growth.
Benefits
This hybrid approach provides a dual revenue stream: steady subscription fees paired with scalable advertising income. This setup helps platforms navigate fluctuations in digital advertising. It also leads to higher average revenue per user (ARPU) compared to single-revenue models. The OTT market is expected to surpass $380 billion by 2026, while Connected TV ad spending is projected to exceed $42 billion by 2025. Consumer behavior supports this model, with 80% of viewers willing to watch ads in exchange for free content, and two-thirds accepting ads for lower subscription costs.
"The services that win this decade will be the ones that continually rebalance the SVOD/AVOD mix, using first-party data, unit economics, and viewer sentiment as their north stars".
Scalability
Hybrid models scale efficiently thanks to programmatic advertising and Server-Side Ad Insertion (SSAI). These technologies allow platforms to deliver billions of ad impressions worldwide with minimal manual effort. By early 2026, nearly 50% of Connected TV ad inventory is expected to be biddable, up from 34% in prior years. Operational costs remain low; OTT delivery costs are estimated at under $45,000 annually per channel, far less than traditional satellite distribution. Netflix’s ad-supported tier, launched in November 2022, reached 70 million monthly active users globally by late 2024, showcasing the scalability of this model. However, new entrants should first establish stable subscription revenue before introducing ad-supported tiers to manage AdTech costs effectively.
Audience Engagement
This model keeps viewers engaged by offering pricing options that allow them to choose their preferred balance between cost and ad exposure. Most platforms maintain a manageable ad load of 4–6 minutes per hour, ensuring high attention levels without frustrating viewers. Completion rates for ads on streaming platforms exceed 95%, meaning the vast majority of viewers watch ads in full. Importantly, ad-supported users still access the same premium content library as ad-free subscribers, keeping engagement high. Platforms also use first-party data collected during sign-up to deliver highly targeted ads, enhancing the overall viewing experience. By 2026, the number of ad-supported streaming viewers in the U.S. is expected to exceed 170 million – over half of the population – highlighting the model’s growing impact.
Conclusion
Ad-supported revenue models provide digital businesses with a flexible way to grow while avoiding dependence on a single income source. These models naturally expand alongside your audience, making content accessible even to users who may not afford premium fees. For instance, advertising is expected to make up nearly 28% of all streaming services’ revenue by 2028, with the global AVOD market projected to grow from $38 billion in 2023 to $69 billion by 2027. Studies also show many viewers prefer watching ads if it means saving money.
One of the biggest strengths of ad-supported models is diversification. Instead of relying on subscriptions or commissions alone, businesses can incorporate advertising revenue to create a more stable financial foundation. Recent Q3 2024 data shows notable revenue increases for premium streaming platforms, highlighting the effectiveness of ad-supported strategies. This opens the door for businesses to innovate and secure multiple revenue streams.
To succeed, businesses must strike a balance between generating revenue and maintaining a positive user experience. For example, only 12.5% of viewers report finding ads completely intolerable. Tracking metrics like click-through rates and CPM can help platforms and advertisers achieve mutually beneficial outcomes.
For leaders refining their ad-supported strategies, CEO Hangout offers a valuable networking platform. It connects executives who have successfully implemented these models, providing access to peer feedback on emerging market trends, compliance needs, and regional growth strategies. As CEO Hangout puts it:
"Learning from CEOs and entrepreneurs around the world can change your way of thinking, as well as your approach to business problems, growth tactics, and marketing campaigns".
With AVOD spending forecasted to rise by 17% due to increasing revenues from industry leaders, ad-supported models are becoming a key part of sustainable growth strategies. Whether through freemium models, sponsored products, rewarded videos, or hybrid streaming, these approaches offer scalable revenue opportunities. The businesses that excel will be those that prioritize user value while leveraging smart monetization tactics and staying connected with a network of forward-thinking leaders. For more ideas and practical applications, visit CEO Hangout.
FAQs
Which ad-supported model fits my business best?
The ideal ad-supported revenue model hinges on factors like your content type, target audience, and growth objectives. For content creators or media-focused businesses, options such as display ads, sponsored posts, or programmatic advertising can be effective. On the other hand, if you’re developing a professional network or community, sponsored content, targeted advertisements, or strategic partnerships might be a better fit. The key is to select a model that aligns with your audience’s expectations and your overall monetization plan to drive growth effectively.
How many ads can I show without losing users?
There’s no strict rule for how many ads you can show without impacting user retention. The trick lies in finding the right balance between ad frequency and user experience. Prioritize thoughtful ad placement and quality to keep disruptions to a minimum. At the same time, make sure the ads are relevant and non-intrusive to keep users happy.
What metrics should I track to prove ad revenue is working?
Track essential metrics like ad impressions, click-through rates (CTR), average revenue per user (ARPU), lifetime value (LTV), and return on investment (ROI). These numbers give you a solid understanding of how your ads are performing and how they’re contributing to your revenue.