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Published: 3 December, 2025 · 9 mins read
Modern media companies compete not just with each other but with tech giants that dictate how audiences consume content and ads. This article explores how modern technology, including data integration, AI personalization, and mobile-first design, helps publishers regain control.
Media companies today aren’t just competing with one another. They’re fighting for reader attention against Google, Meta, TikTok, and X. This lopsided competition has left publishers dangerously dependent on these platforms for both visibility and ad revenue.
The worst part? When tech giants change their algorithms or pricing policies, media businesses pay the price. For instance, Google’s new AI Overviews have already cut average clickthrough rates by 34.5% for top-ranking pages, proving that even “winning” in search no longer guarantees traffic. Audience behavior is also shifting, making it even more challenging to stand out and remain profitable.
Fortunately, media companies can regain control with modern technology and effective strategies in place. In this post, we’ll discuss five such solutions, from proprietary data engines to AI-driven personalization, and beyond.
Before optimizing monetization and ads, you need to understand what’s influencing audience behavior these days. Here are the biggest drivers and shifts:
Even as new formats and technologies open up opportunities, media companies are hitting several walls. From data restrictions to eroding audience trust, let’s look at the biggest ones:
Users are increasingly protective of their personal data. That is why targeting them with relevant ads and personalized offers gets trickier. It’s especially so with cookie refusals, Apple’s App Tracking Transparency, and privacy laws, including the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), the Digital Personal Data Protection Act (DPDP), and local regulations.
Trust remains one of the media industry’s biggest pain points. Over half of the audience (58%) surveyed by the Reuters Institute say they’re worried about their ability to distinguish real news from misinformation.
But it’s not just readers who feel the pressure. According to the 2025 State of the Media Report, 40% of journalists cite maintaining credibility and fighting “fake news” accusations as one of their top challenges.
AI promises faster content production and smarter personalization, but audiences aren’t fully on board. Many consumers are okay with journalists using AI as a tool — but not with AI replacing humans entirely.
AI presents both challenges and opportunities, and 30% of journalists surveyed by Cision agree. For example, people expect this tech to make news cheaper and more up-to-date, yet also less transparent, accurate, and trustworthy.
Another challenge is the complicated relationship with tech giants. While Google, Meta, and X dominate audience reach, they also control the rules of engagement.
No wonder publishers are split. About a third want to strengthen ties, another third want to cut them, and the rest prefer to stay the course. But one thing’s clear: relying too heavily on external platforms means playing by someone else’s rules.
Adapting to shifting audience behaviors around media consumption is the number one challenge for journalists, as the 2025 State of the Media Report points out. The good news is that media companies can tackle that with several strategies and techs:
Every optimization effort starts with data. But using just any data won’t work. You should:
Pro tip! Gather data ethically and transparently to avoid undermining the already fragile user trust.
Take, for example, our data engineering and management case. Our client, a global media group with over one million readers across 17 countries, focused exactly on building a solid data foundation. In particular, they needed a way to unify their ecosystem. We delivered a platform integration engine, centralized databases, and data collection tools that allowed seamless cross-integration of media and marketing solutions.
With quality and centralized data in place, content and ad personalization are now powered by artificial intelligence. Audiences, though not ready to trust completely autonomous AI, are open to some of its use cases:
We recently helped our client implement this personalization. We developed a marketing automation solution where marketers could create entire campaigns from modular components (landing pages, push notifications, chatbots, pop-ups, banners) and connect them into one adaptive flow. Teams could add custom visuals, promo codes, and even dynamic discounts based on prior user interactions. Once ready, the platform generated HTML code to plug these experiences directly into any website.
This capacity for flexibility and rapid iteration supports what Bain’s 2025 study confirmed: top-performing companies are eight times more likely to run 100+ marketing experiments per month and twice as likely to scale the successful ones. AI allows that level of experimentation and agility, and media companies can benefit from the same approach.
Today’s audiences rarely sit behind a desktop to consume media. They typically do it on mobile devices and in-platform, whether it’s TikTok, YouTube Shorts, or Instagram Reels. Yet many publishers still put web-first experiences on a pedestal.
To meet your audiences where they truly are, focus on:
Need help with that? Consider our mobile development services. We deliver mobile experiences that meet the expectations of modern audiences.
Successful monetization and advertising require moving past click-through rates and focusing on the entire user journey. However, media companies often find it hard to see a complete picture of user behavior across channels: what they read, click, buy, or subscribe to.
The solution? Data integration and automation. You should connect CRM, analytics, marketing, and any other systems in use to create a unified customer profile. Having done that, you’ll be able to deliver more relevant content, measure ad performance more accurately, and identify monetization opportunities early.
This approach mirrors our own marketing solution mentioned above. The integration of multiple campaign components allowed our client to track, adapt, and personalize based on a single user journey.
Diversification is never extra, especially when you’re dealing with constantly shifting audience behaviors. Forward-looking media companies are branching into:
Pro tip! Rely on three or four revenue streams. In particular, publishers surveyed by Reuters make money from events (48%), affiliate programs (29%), donations (19%), and related businesses (15%).
Custom tech plays a pivotal role here. For publishers, it offers an opportunity to create digital ecosystems where users can read, watch, listen, and buy, all in one place.
You don’t necessarily need the market cap of The New York Times or the engineering team of Google to compete with tech giants under changing audience expectations. What you do need is proper tech and strategy.
Optimizing media advertising and monetization comes down to the following essentials:
With these in place, you’ll regain control of your audience, stabilize revenue, and, ultimately, lead the competition. And if you need assistance in implementing any of the techs mentioned today, get in touch with Exoft. We made sharing stories easier for numerous publishers, and we’ll do the same for you.