Jul 28, 2025
Designing ads for subscription apps is all about converting free users into paying subscribers. Here's what you need to know:
Subscription apps dominate non-gaming revenue: They account for 74.4% of in-app revenue, and this is expected to grow through 2027.
Ad performance is key: In-app ads have a 0.54% click-through rate, more than double mobile web ads (0.23%).
Main goals of subscription app ads:
Attract quality downloads by targeting users likely to subscribe.
Boost subscription sign-ups by showcasing your app’s value.
Improve retention by re-engaging current subscribers.
Key strategies for success:
Understand your audience: Focus beyond demographics - analyze behaviors, needs, and motivations.
Segment effectively: Use data to target specific groups, such as free trial users or long-term subscribers.
Leverage data and AI: Personalize ads using first-party data, optimize creative elements dynamically, and target users contextually.
Design principles matter: Use clear layouts, strong visual hierarchy, and color psychology to guide users toward subscribing.
Accessibility counts: Make ads inclusive with readable fonts, high contrast, and diverse representation.
Metrics to track and improve:
Focus on trial-to-paid conversion rates, retention, customer lifetime value (CLV), and churn reduction. Use A/B testing and real-time adjustments to refine performance.
Successful ads combine targeted messaging, data-driven insights, and user-friendly design to drive sustainable growth for subscription apps.
Top 8 Winning Ad Creative Templates For Meta Ads In 2024
Know Your Subscription App Audience
Getting to know your audience is the cornerstone of crafting ads that actually convert. According to Statista, 60% of smartphone users prefer apps with subscription options tailored to their personal interests. This makes creating personalized and relevant advertising a must if you want to succeed in the subscription model. So, how do you get there? Start by diving deep into who your users are, what they care about, and how they interact with your app.
While understanding basic demographics is a good starting point, it’s not enough. For example, knowing that users aged 18–34 make up 60% of app subscribers is helpful, but you also need to uncover the "why." What problems are they trying to solve? What drives them to pay for premium features instead of sticking with the free version?
Investing in tools that enhance the customer experience can help you fine-tune your ad targeting and messaging. But this all begins with truly understanding your users. The more precise your insights into their needs and preferences, the better your chance of designing ads that resonate. Once you’ve gathered this information, the next step is breaking it down into actionable audience segments.
How to Segment Your Audience
Audience segmentation is much more than dividing users into "free" and "paid" groups. To create ads that hit the mark, you’ll need to segment based on factors like demographics, behaviors, journey stages, and even psychological traits.
Start with demographic data. For instance, knowing that 55% of subscription services are used by women - many of whom favor lifestyle apps - or that 30% of consumers earning over $75,000 subscribe to multiple services, can shape both the tone of your messaging and the visuals you use.
Behavioral segmentation, however, often yields the most actionable insights. Look at how users interact with your app: How often do they use it? What features do they gravitate toward? When are they most engaged? Journey stage segmentation is equally important. The way you approach a first-time visitor will differ greatly from how you communicate with a long-term subscriber who might be on the verge of canceling.
"If you need more than three adjectives, or three dimensions, to define your initial segments, you may be overthinking and over-engineering the effort." – Frank Luby
The best segmentation strategies combine multiple criteria. For instance, you might target "women aged 25–35 who use fitness features daily but haven’t upgraded from the free trial." This level of detail allows you to create ads that speak directly to their specific situation, increasing the likelihood of conversion. Once you’ve nailed down your segments, use these insights to craft highly targeted, impactful ads.
Using User Data for Better Ads
Your app generates a wealth of user data every day. The trick is knowing which data points matter most and turning them into actionable insights that improve your ad performance.
Your most valuable resource? First-party data. Unlike third-party data, which is becoming harder to access, the information you gather directly from users is both reliable and specific to your app. Use it wisely.
Behavioral analytics can highlight key user interactions and the best times to engage them. For example, if your data shows users are most active on weekday evenings, schedule your ads to appear during those peak hours. Similarly, if you know when users tend to cancel subscriptions, you can create timely retention-focused campaigns to address their concerns.
Keep an eye on user engagement, such as likes, shares, and comments, to uncover what resonates most. Interestingly, 70% of consumers are willing to provide feedback if asked appropriately. Use surveys or in-app feedback tools to gather direct insights into their preferences.
Geographic and time-based data can also play a major role. Users in different regions may respond differently to pricing, features, or even the tone of your messaging. Time zone data ensures your ads appear at the right moment for maximum impact.
Analyzing purchase behavior is another goldmine. By understanding the typical customer journey - how long users stay on free trials, which features drive upgrades, and what leads to cancellations - you can create ads that address specific pain points at every stage.
Finally, don’t forget that privacy and trust go hand in hand. Be upfront about how you collect and use data. When users feel your ads are helpful rather than intrusive, they’re more likely to engage. In fact, 74% of people are more likely to trust brands that prioritize user privacy.
The ultimate goal? Take the data you’ve collected and turn it into ads that feel personal and relevant. When users see ads that align with their habits and preferences, they’re far more likely to engage - and eventually subscribe.
Core Design Principles for Subscription App Ads
Creating effective ads is all about blending eye-catching visuals with smart design. Users form opinions about your ad in mere milliseconds, so your design choices need to work hard to grab attention and encourage subscriptions. These principles build on earlier discussions about audience targeting, ensuring that every design element contributes to user engagement.
The secret lies in understanding how people naturally process visuals. Their eyes tend to follow predictable patterns, and by using proven design principles, you can guide them straight to the subscribe button.
Layout and Visual Structure
The layout of your ad is like a roadmap for the viewer’s eyes. A confusing visual hierarchy can make users feel lost, which hurts conversions. The Nielsen Norman Group puts it this way:
"Visual hierarchy controls the delivery of the experience. If you have a hard time figuring out where to look on a page, it's more than likely that its layout is missing a clear visual hierarchy."
To create a smooth flow, design with natural reading patterns in mind - use the F-pattern for text-heavy ads and the Z-pattern for simpler ones. A clear hierarchy not only draws attention to key elements but also makes the path to subscription feel effortless.
For text, a 3:1 ratio between headers and body copy works well. Make your main value proposition stand out by using larger text for your key benefit or offer. Pair this with contrast and color to emphasize important points. Bright colors on muted backgrounds naturally grab attention, while high contrast ensures readability. Keep your color palette simple - stick to 3 to 5 colors for a clean, cohesive look.
Whitespace is another powerful tool. Instead of cramming your ad with content, use empty space to highlight important elements. A clean, minimal design helps your message stand out. Consistency in icons, menus, colors, and spacing builds trust and makes the ad easier to navigate.
Color Schemes and Brand Consistency
Color isn’t just about aesthetics - it’s a psychological tool that influences user behavior. In fact, up to 90% of snap judgments about products are based on color, and 85% of people say color impacts their buying decisions. For subscription apps, where trust is key, your color choices play a huge role.
Different colors evoke different emotions. For example:
Color | Associations |
|---|---|
Blue | Calm, trust, reliability, competence |
Green | Health, growth, prosperity |
Red | Passion, power, excitement |
Purple | Luxury, sophistication, creativity |
Orange | Warmth, playfulness, energy |
Yellow | Optimism, friendliness, happiness |
Many successful apps use color psychology to their advantage. For example, SoundCloud’s orange conveys energy and excitement, while Spotify’s green fosters a sense of trustworthiness. Uber’s black signals professionalism, and Lyft’s pink feels approachable.
To balance your colors, follow the 60–30–10 rule . Use your primary color for 60% of the design, a secondary color for 30%, and an accent color for the remaining 10%. This approach ensures your call-to-action stands out. Studies show that consistent color usage can boost brand recognition by up to 80%.
A great example of this is InspiringApps’ 2020 rebrand. They replaced traditional colors with two shades of blue to create a sense of professionalism, accented by magenta and peach for a creative touch.
Making Ads Accessible and Inclusive
Beyond looking good, your ads need to work for everyone. Accessibility isn’t just ethical - it’s smart. Over 22% of people in the U.S. and 15% worldwide live with a disability, representing a significant number of potential subscribers.
Start with typography. Choose simple, legible fonts and ensure text is large enough to read easily on any device. Avoid overly decorative fonts in body text, especially for mobile ads, so your message remains clear.
Next, think about color contrast. Low-contrast text is a common problem, with over 86% of home pages falling short. Make sure there’s enough contrast between text and background colors, and remember that about 1 in 12 men and 1 in 200 women are colorblind. Don’t rely solely on color to convey information - use patterns, textures, or labels for clarity.
Representation matters, too. Use diverse imagery that reflects different races, ages, abilities, genders, and backgrounds. When people see themselves in your ads, they’re more likely to connect with your app. Opt for gender-neutral icons and avoid symbols that might carry unintended meanings. Testing your visuals with diverse audiences can help identify and fix potential issues before launch.
For video ads, include transcripts and auditory cues for users who are deaf or hard of hearing. Also, ensure every image has alt text for screen readers - a step often overlooked, with 26% of images missing this feature.
Designing with inclusivity in mind ensures your ads reach as many people as possible. By maintaining consistency across platforms and devices, you can deliver a seamless experience - whether users see your ad on Instagram, Facebook, or Google Ads.
Writing Ad Copy That Converts
Great ad copy turns attention into action. While visuals grab the initial interest, the words you choose determine whether someone decides to subscribe. Your copy needs to convince users that your service is worth their time and money - and fast. Studies show that 8 out of 10 people only read the headline before deciding whether to continue.
In a crowded market, every word matters. To stand out, you need to understand what motivates your audience and craft messages that speak to those desires. Let’s dive into how benefit-driven headlines can drive subscription success.
Creating Benefit-Focused Headlines
Your headline is your first - and sometimes only - shot at making an impression. As HawkSEM aptly puts it:
"The best Google ad headlines compel people to click on them through the right mix of attention-grabbing, information-giving, and a dash of 'need to know more' magic".
The trick? Focus on benefits, not features. Instead of saying "Advanced Analytics Dashboard", say "See Which Content Your Users Love Most." The first tells what you offer; the second tells what users gain.
Make your unique selling point (USP) crystal clear. Whether it’s faster results, personalized experiences, or exclusive content, highlight what sets your app apart. Use action-packed verbs like "discover", "unlock", or "master" to create urgency and emphasize value. For example, "Unlock 500+ Premium Workouts" feels more enticing than "Access Fitness Content."
Questions can also pull readers in. A headline like "Still Struggling to Track Your Expenses?" directly addresses a pain point and invites curiosity.
Descriptive adjectives can add emotion and depth to your headlines. Words like "effortless", "instant", or "exclusive" help users picture the experience. Just don’t overdo it - too many adjectives can feel forced.
Numbers also help your headlines pop. Phrases like "Learn Spanish in 30 Days" or "Join 2 Million+ Happy Subscribers" set clear expectations and build credibility.
Sam Yadegar, CEO of HawkSEM, explains:
"The art form in headlines is to create value through a short message to show the target audience found what they're looking for. Our team spends a lot of time and has fun creating effective headlines that make all the difference in CTR".
Using Psychology in Your Ad Copy
Psychological triggers can make your ad copy more persuasive and relatable. Here’s how to use them effectively:
Social proof: Highlight real customer experiences to build trust. For instance, Zendesk used the phrase "based on a true story" in their ads to emphasize authenticity and connect with users emotionally.
Authority bias: Build credibility by mentioning awards or recognitions. For example, Soprano’s Google ads used "award-winning" to establish trust quickly.
Problem-solution approach: Acknowledge your audience’s pain points and position your app as the answer. Twilio applied this by addressing frustrations with outdated contact centers, pairing concise language with an aspirational call-to-action.
Urgency and scarcity: Create a sense of FOMO with phrases like "limited time", "only 48 hours left", or "while supplies last." For subscription services, lines like "Start your free trial today" or "Join before prices increase" can push users to act.
Value comparisons: Help users see the worth of your service by comparing costs to everyday items. For instance, "$4.99/month - less than your morning coffee" makes pricing relatable.
Emotional triggers: Appeal to your audience’s feelings. Gtmhub used Facebook ads to showcase the benefits of OKRs, offering a free whitepaper that built trust and loyalty by providing immediate value.
Adapting Copy for US Audiences
When targeting US audiences, direct and benefit-driven language works best. Americans tend to prefer straightforward messaging over subtle or overly formal approaches.
Inclusive language is essential. Avoid assumptions about family structures, backgrounds, or financial situations. As Kate Duske, Editor in Chief, explains:
"Culturally relevant content is critical for effectively engaging target audiences and building relationships".
Formatting matters too. Use dollar signs before prices (e.g., $9.99) and commas for large numbers (e.g., $1,299). When promoting discounts, percentages like "Save 40%" often perform better than dollar amounts.
Local references can also make your copy more relatable. A fitness app, for example, might mention "beach season" for coastal users or "ski season" for mountain regions.
Address potential objections upfront. Many Americans are wary of subscription services due to hidden fees or cancellation hassles. Reassuring phrases like "cancel anytime" or "no hidden fees" can put their minds at ease.
Authenticity is key. Multicultural campaigns see 70% higher engagement, but 68% of brands struggle with genuine representation. Avoid tokenism and focus on real inclusion. As Time Burke, Executive Creative Director, advises:
"Be mindful of the B.S. radar...focus on authenticity. Being genuine matters with culturally relevant content".
Finally, adopt a conversational tone. Americans appreciate approachable, friendly communication. Use contractions (like "you’ll" or "we’re") to build familiarity and trust.
Using AI and Automation to Improve Ad Performance
Subscription apps today need to leverage smart technology to cater to individual user preferences. By integrating AI and automation, businesses can boost conversions and lower customer acquisition costs. AI-driven personalization ensures that ads align with user intent, moving away from generic approaches to deliver tailored experiences. Let’s dive into how AI-powered personalization, dynamic creative optimization, and contextual targeting can transform your ad campaigns.
AI-Powered Ad Personalization
Personalization using AI goes far beyond adding a user’s name to an ad. AI tools analyze browsing habits, purchase histories, and even social interactions to build detailed user profiles. This data enables subscription apps to customize every element of their ads, from visuals to the benefits they emphasize.
Take Philips, for instance. By personalizing website content, banners, and pop-ups based on user behavior, they saw a 40.11% increase in conversion rates and a 35% boost in average order value. Dover Saddlery used personalized stories for web and mobile users, generating $1.7 million in extra revenue. Lenovo tackled cart abandonment with personalized web push notifications, reducing it by over 10%. These examples highlight how AI can create meaningful interactions across platforms like websites, mobile apps, emails, and SMS, ensuring every touchpoint resonates with users.
Dynamic Creative Optimization
Dynamic Creative Optimization (DCO) builds on personalization by fine-tuning ads in real time. Instead of relying on static ad variations, DCO uses machine learning to mix and match elements like images, headlines, and calls-to-action based on audience behavior. This approach is gaining traction - by 2024, 82% of advertisers reported using DCO, compared to just 60% in 2015.
For example, tools like Criteo's Dynamic Creative Optimization+ can boost click-through rates by as much as 31%. As Criteo explains:
"With powerful machine learning technology at your fingertips, you can ensure that your ads continuously change according to each shopper's preferences and browsing history." – Criteo
DCO is especially effective for subscription apps promoting different tiers or features. A language learning app, for instance, might highlight beginner content to new users while showcasing advanced tools to seasoned learners. Meta research also underscores its effectiveness, showing that personalized ads can increase short-term sales by 1.2 to 7.4 times and long-term sales by 1.2 to 2.7 times. Successful DCO strategies often incorporate compelling benefits, social proof, and urgency to drive engagement.
Contextual Ad Targeting
While personalization focuses on individual user data, contextual targeting hones in on the environment where ads appear. AI-powered contextual advertising examines webpage content and even user emotions to deliver messages that feel timely and relevant. Modern contextual tools analyze everything from text and audio to video content, frame by frame.
"Today's contextual advertising is far more sophisticated, using AI to analyze entire pages of text, audio files, and videos frame-by-frame to understand content in its proper context and determine consumer mindset." – Kerel Cooper, Chief Marketing Officer at GumGum
The results speak for themselves. Advanced contextual targeting can lead to 335% higher engagement rates compared to traditional methods. Mars pet care, for example, expanded its reach beyond pet-related content, achieving an 89% higher view-through rate. Similarly, a luxury car brand saw a 48% boost in engagement, a 37% drop in cost-per-acquisition, 2.3x higher conversion rates for test drives, and a 29% increase in return on ad spend.
For subscription apps, contextual targeting is particularly effective when paired with relevant content. A meditation app, for example, might target readers of stress-management articles, while a fitness app could connect with users browsing healthy recipes. Slazenger combined personalization with contextual intelligence to achieve a staggering 700% increase in customer acquisition and a 49x return on investment. By tailoring ad creative to the surrounding environment, brands can create more engaging and impactful experiences.
Measuring and Improving Ad Performance
Once you've implemented AI-driven personalization and contextual targeting, the next step is to evaluate how well your subscription app ads are performing. Without proper tracking, you're essentially navigating without a map. The focus should be on metrics that directly contribute to revenue, not just those that look impressive on the surface.
Key Metrics to Track
Core Performance Indicators
Go beyond simple click-through rates. Metrics like Customer Acquisition Cost (CAC) and Customer Lifetime Value (CLV) are essential. CAC tells you how much you're spending to gain a new customer, while CLV reveals the total revenue a subscriber generates over their entire relationship with your app. A healthy CLV-to-CAC ratio is a strong indicator of a sustainable acquisition strategy.
Trial-to-Paid Conversion Metrics
Free trials are a major driver for subscriptions, with 75% of users signing up when offered one. In 2023, the median trial-to-paid conversion rate hit 50%. Hannah Parvaz, Founder of Aperture, highlights the importance of focusing on trial-related metrics:
"At a smaller scale, cost per trial (CPT) is one of the most important metrics. It gives you a signal on whether your top-of-funnel economics are working. But CPT alone is not enough. You must also track trial-to-paid conversion rate and your payback window."
Retention and Churn Indicators
Retention is key to long-term success. On average, subscription businesses lose 4.1% of their customers monthly - 3% leave voluntarily, while 1% churn involuntarily. Alarmingly, 49% of U.S.-based subscription companies reported higher churn rates in 2023.
Engagement Metrics
Metrics like Daily Active Users (DAU) and Monthly Active Users (MAU) offer insights into how engaged your subscribers are. The stickiness ratio (DAU/MAU) helps you understand user behavior patterns. Apps that use targeted features based on user data see a 20–30% boost in engagement.
How to Analyze Performance Data
Platform-Specific Analysis
Different ad platforms provide varying levels of data. Facebook stands out for its detailed insights into ad creative performance, making it a go-to platform for testing. Metrics like installs per mille (IPM), which combines click-through rates and install rates, are particularly useful. However, Thomas Petit, a performance marketing expert, notes the limitations of data from ad networks:
"Whatever you see off the ad network–beyond a click–is not actual, but modeled data. Except for data points coming from Facebook, such as impression, click, and 3-second views, everything else is extrapolated. That's because Apple passes back only campaign-level data."
Segmentation Strategies
Breaking down your data into meaningful segments can uncover valuable insights. Group users by acquisition source, behavior, or lifetime value to identify high-quality traffic. According to Statista, proper segmentation can improve marketing effectiveness by up to 760%.
Attribution and Timing
Many marketers are shifting to 1-day or 7-day click attribution for more precise insights. Nathan Hudson, Founder of Perceptycs, explains the importance of tracking blended metrics over time:
"With multiple pricing plans and plan durations, different percentages of users purchasing each of these in any given cohort, fluctuating trial conversion rates, and unknown renewal rates influenced by seasonality, it's very challenging to accurately forecast payback period. For this reason, I'm a big advocate of tracking blended ARPPU:CAC ratio off platform at various periods – day 0, day 3, day 7, day 30, day 90, day 365. If we set a target payback period and have enough historical data, we can track a forward-assumed ARPPU:CAC ratio for any given cohort at any given period."
This approach helps you make more informed, real-time adjustments to your campaigns.
Improving Ads Based on Data
Focus on Downstream Metrics and A/B Testing
As your campaigns grow, shift attention from surface-level metrics like CPM and CTR to deeper unit economics. Regular A/B testing, with at least 100 installs and 10,000+ impressions per creative, can lead to 10–15% higher conversion rates. Hannah Parvaz advises focusing on metrics that reflect long-term growth:
"As you scale, you should start obsessing less about CPMs or CTRs and more on downstream unit economics. CPMs can fluctuate. CTRs can look great without any revenue behind them. The deeper metrics tell you if your growth is sustainable."
Churn Rate Optimization
Churn often gets overlooked, but it's a critical factor in your overall performance. Cedric Yarish, Co-founder of admanage.ai, stresses its importance:
"Generally, performance marketers only focus on metrics they can change, and churn is often overlooked. But it's important because it affects your LTV and thus affects your bid in Meta."
Comparing churn rates of platform-acquired users to your overall churn rate can reveal whether retention issues are holding back your growth.
Real-Time Adjustments
Daily monitoring and small, data-driven tweaks can increase revenue by 10–30% in just six months. Instead of waiting for major overhauls, focus on making incremental improvements. Over time, these minor adjustments add up to significant performance gains.
Balancing high-converting ads with strong user retention is the ultimate goal. By focusing on metrics like realized Lifetime Value and not just reducing Customer Acquisition Cost, you can build a strategy that supports sustainable growth for your subscription app.
Conclusion: Creating Ads That Drive Subscriptions
To craft ads that truly resonate with potential subscribers, it’s essential to connect your brand’s message with their needs in a meaningful way. The most effective subscription app ads blend user-centric design with data-backed optimization, creating a strategy that not only attracts attention but also drives growth.
Visual clarity is an absolute must. Bill Macaitis, Growth Advisor and former CMO at Slack, puts it best:
"I think your hero image is ten times more important than the copy. Can you explain what you do via a visual versus writing it out? Your ads and website should be able to pass the five-second test: someone should know exactly what you do after seeing your offer for just five seconds."
This "five-second rule" should be at the heart of every creative decision. In crowded app stores, where 65% of app discoveries happen through searches, your ad needs to communicate its value immediately.
While creativity grabs attention, technical elements seal the deal. For instance, using personalized CTAs can boost engagement by 202%, and adopting second-person language improves clickthrough rates by 42%. These small adjustments can transform an average campaign into a highly profitable one.
Color strategy is another critical aspect. Consistent color schemes can boost brand recognition by up to 80%, but contrast is equally vital. Anneke King, Executive Creative Director at Superside, highlights this from her experience:
"Through a lot of A/B testing, we discovered that proper contrast is so important to an ad. If you use a white background, you need a stroke around the banner or it'll blend into the background and get lost."
Beyond the ad itself, the transition from click to subscription must be seamless. Your landing page should mirror the design and messaging of the ad to maintain a cohesive experience. Apps that optimize this process through A/B testing see conversion rates improve by up to 25%. This reinforces the idea that ad design isn’t just about creativity - it’s part of a larger user journey.
Consistent marketing efforts also play a huge role in long-term success. Apps that maintain steady campaigns see 156% higher installation rates and enjoy 43% better user retention. Your ad is often the first interaction with a potential user, so it needs to make a strong and lasting impression.
The best-performing subscription app ads strike a balance between emotional storytelling and clear communication of functional benefits. They use genuine visuals that highlight real app features, maintain branding consistency across platforms, and include persuasive CTAs that address user concerns. When executed well, these elements not only drive clicks but also convert them into loyal subscribers.
FAQs
How can I use AI and automation to create personalized ads for my subscription app?
AI and automation offer powerful ways to create ads tailored to individual users by analyzing their behavior, preferences, and engagement habits. With AI-driven tools, you can predict which ad creatives are likely to resonate most with your audience and manage campaigns more efficiently.
On top of that, real-time personalization lets you tweak ad content on the fly based on user actions, like their browsing history or app activity. Pair this with no-code automation tools, and you can simplify workflows, keeping your ads optimized without constant manual adjustments. Together, these approaches can boost engagement and drive higher conversion rates for your subscription app.
How can I segment my audience to create more effective ads for subscription apps?
To make your ads stand out, start by dividing your audience into meaningful segments based on factors like demographics (age, location, income), behavior patterns (how they use apps, browsing habits), and engagement history (how often they interact or their subscription status). This allows you to craft messages that feel more personal and relevant.
For instance, you could spotlight premium features for your most active users, while offering discounts or special deals to those who haven't engaged recently. When your ads speak directly to what each group cares about, you’re not just creating better ads - you’re increasing the chances of turning viewers into customers. Personalization is key to boosting conversions.
How can I design ads that are accessible and inclusive for a wider audience?
To make your ads more accessible and welcoming, start by using high-contrast color combinations. This makes text easier to read and ensures important information isn't missed. Avoid relying only on color to convey meaning - add symbols or text for clarity. Opt for clear, readable fonts and make sure the text size is large enough for comfortable reading.
Include diverse visuals and representation in your ads to connect with a wider range of people. For users with visual or hearing challenges, provide descriptive text for images and captions for videos. It's also a good idea to test your ads with real users and adhere to established accessibility standards like WCAG. This approach can help fine-tune your designs to be more inclusive and effective.
