Social Media Content Marketing: Top Algorithm Trends Your Team Needs to Know

Bari David
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In 2025, the rules of social media are being rewritten, with algorithms increasingly favoring authenticity over promotion. As users grow more fatigued by social media, they’re becoming more selective about how they engage with content. Across platforms, users are gravitating toward content that delivers genuine connection rather than repetitive, salesy messaging.  

This shift is reflected in recent algorithm updates across platforms like TikTok, LinkedIn, and Instagram. Instead of rewarding passive metrics such as likes, platforms now elevate posts that drive meaningful conversations. For brands, this means it’s no longer enough to broadcast a message. You need to create content that invites interaction and builds community. 

The brands that are thriving this year are the ones moving away from corporate speak and leaning into human connection. Whether it’s through relatable video content, professional storytelling, or interactive posts, success now comes from delivering value, not just visibility. 

To stay ahead, marketers need to understand how platform algorithms are evolving and what they now prioritize. Below, we break down the most important trends shaping social media content marketing in 2025. 

The Evolution of Social Media Algorithms in 2025  

Before exploring how user behavior shapes platform priorities, it’s helpful to understand what “the algorithm” really means. Rather than a single entity or mysterious higher power, today’s platforms rely on a collection of algorithms that determine what users see. These systems are constantly learning and adjusting based on user behavior, representing a dramatic evolution from the early days of chronological feeds. 

As content volume exploded, so did the development of more sophisticated algorithmic feeds powered by machine learning. Curated for individualized experiences, social media algorithms allow for a deeply personalized approach to feeds based on factors like user behavior, format preferences, and even optimal viewing times. These systems keep users engaged on platforms longer by showing them content they’re most likely to find useful and interact with.  

In 2025, algorithms have become the gatekeepers of content visibility. This means if your content isn’t leveraging the latest platform updates, you actually risk losing organic reach and engagement. Algorithms on platforms like Instagram, TikTok, and LinkedIn favor content generating immediate engagement, creating a self-reinforcing cycle where highly interactive posts gain amplified visibility while others can disappear into the digital void. For businesses, this means that social media content marketing strategies need to evolve beyond simply broadcasting messages to deliberately trigger engagement signals that today’s selective algorithms prioritize. 

Video Content Dominance  

Video content marketing has cemented its dominance across social media in 2025, with 89% of businesses now leveraging it in their strategies. Scroll on any major platform and you’ll notice video content is everywhere. Short-form videos under 60 seconds continue to deliver the highest ROI on platforms like TikTok and Instagram, where the sweet spot for engagement ranges between 15-30 seconds. Meanwhile, YouTube supports both bite-sized and long-form content, allowing brands and creators to cater to different viewer preferences. 

Platform preferences have also become increasingly distinct. TikTok rewards trend participation and authenticity, Instagram’s algorithm loves polished videos and strong hooks, and LinkedIn favors educational concepts with clear business applications.  

For cross-platform success, the winning video content marketing formula involves optimizing formats for mobile-first viewing with captions and designing videos that deliver value in the first 15 seconds to combat declining attention spans. Brands seeing the highest reach and engagement are those creating platform-native content rather than posting identical videos everywhere.  

Video Content Optimization Tips:  
    1. Make videos mobile-friendly (vertical orientation for TikTok and Instagram, horizontal or square for YouTube or Facebook. 
    2. Hook viewers in the first few seconds 
    3. Always add captions – many people watch without sound 
    4. Keep it authentic rather than overly polished 
    5. Use simple, clear messaging that gets to the point
The LinkedIn Algorithm Deep Dive 

LinkedIn’s algorithm has become more sophisticated than ever in 2025. It now prioritizes content that keeps users engaged and on the platform for longer, not just posts with lots of likes.  

Two major factors drive visibility: dwell time (how long someone views your post) and quality interactions like comments and saves. Just Connecting™ & Richard van der Blom’s 2025 LinkedIn Algorithm Insights report notes that comments carry 12x the weight of a like, and saves, emerging as a 2025 metric to watch, carry 10x the weight of a like.  

Visual content is performing best on LinkedIn. Content types gaining traction include video, image, and document posts across pages and profiles. While no single format can guarantee success, that same data confirms that image-based posts dominate feeds, accounting for the majority of all published content across personal profiles and company pages. Videos, boosted by temporary feed exposure, outperform nearly all other formats, while text-only and polls-based content continue their downward trend in both usage and effectiveness.  

Additionally, engagement metrics that truly matter have shifted beyond vanity metrics such as likes to more substantive indicators of value such as quality engagement, direct messages, inquiries, website visits with intent, etc. 

For optimal content performance, the report suggests focusing on posting during peak professional hours (Tuesday – Thursday, 8-10am and 1-3pm), crafting headlines with clear value propositions, and maintaining a consistent 2-3 posts per week cadence rather than daily flooding to maximize reach. 

Most importantly, LinkedIn’s algorithm now emphasizes authentic professional storytelling over promotional content, with the algorithm actively demoting content containing excessive hashtags, external links in post text, and engagement baiting tactics that may have been effective in previous years. The goal on social media should always be to share knowledge and inspire conversation, not simply pushing products or services. 

AI and Personalization in Social Algorithms  

If you’ve noticed more content in your feed from people or brands you don’t follow, that’s not a glitch, it’s AI systems hard at work. 

Today’s social platforms use advanced machine learning to create hyper-personalized feeds. Algorithms evaluate everything from scrolling speed to what topics you linger on, then serve up more of what you’re likely to enjoy.  

Key personalization features include historical engagement patters (who you’ve interactive with in the past), content consumption velocity (how quickly you consume content), relationship strength (whose content you regularly engage with), and contextual relevance (alignment with your interests). Time-based signals like recency and seasonal relevance also significantly impact distribution. 

For professionals, this AI content marketing approach requires a strategic shift from broad, one-size-fits-all content to targeted, niche-specific material that resonates with a defined audience. If you’re not segmenting your audience, diversifying content across formats, and timing posts strategically based on audience activity patterns, you might be a roadblock between your content and target audience.  

Ultimately, the future belongs to creators that understand algorithms now prioritize content that generates meaningful engagement rather than viral interactions. This requires a deep familiarity with what matters most to your target audience and creating content that authentically addresses their needs, questions, and interests. When engagement feels personal, algorithms are more likely to amplify your message to a broader audience. 

Cross-Platform Algorithm Trends  

Despite their differences, all social platforms do share some fundamental priorities: maximizing user engagement, increasing time spent on the app, and promoting quality content.  

Platform-specific nuances remain significant, however key differences between platforms are as follows: 

    • Instagram favors user-generated content and posts that longer engagement periods 
    • Tiktok’s system prioritizes content discovery though interest-mapping 
    • LinkedIn rewards professional thought leadership and industry insights 

The most effective multi-platform content marketing strategies involve creating adaptable content foundations that can be customized for each platform’s unique environment. Also, using native features across each platform (like editing Reels in-app) is favored by algorithms across sites. This means content pillars identifying core audience needs, then modifying the format, tone, and delivery for platform-specific optimization is non-negotiable. 

Social Commerce Integration  

Online shopping has also gone social. You’ve probably purchased something from a social media post without ever leaving the site. That’s by design. Social platforms now integrate shopping tools that reduce friction and increase conversions. 

For social media algorithms, this type of content attracts new followers into your funnel. As engagement grows (clicks and reviews), it sends a positive signal to social media algorithms. In turn, these algorithms deem your content relevant and suggest it to more potential customers. 

Features like Instagram’s Shop tab, TikTok Shop, and Pinterest’s buyable pins are built to keep users buying and browsing in one place. For businesses, this integration is essential for visibility, with algorithm preferences favoring brands that create complete shopping journeys within platforms rather than directing traffic externally. 

Companies embracing these native offerings are seeing significantly higher discovery among new audiences and improved conversions from existing followers. 

Practical Content Marketing Strategy Implementation 

Understanding these trends is one thing but applying them is what drives results. To optimize today’s social algorithms, start by auditing your current content performance across platforms and identifying which format and topics generate the most meaningful engagement. Then, develop a platform-specific posting schedule based on when your audience is most active, and create content clusters around key themes rather than disconnected posts. Focus on storytelling over selling in each message. 

Aim for quick hooks, clear calls to action, and a mobile-first design. But above all else, solving real problems and answering common questions is what today’s algorithms reward most. 

For measurement, move beyond vanity metrics to track indicators that truly matter: completion rates for video, comment quality over quantity, or post saves. Be constantly analyzing performance to refine your approach on an ongoing basis. The most impactful brands treat social media like a conversation, not a billboard. As algorithms keep evolving, so should your strategy.  

Future Outlook and Recommendations  

In the year ahead, we expect algorithms to lean further into relationship-driven content. Creator-led storytelling, emotional connection, and AI-powered feed personalization will shape what shows up and what fades out of user’s feeds. 

To stay visible, brands must stay human. Success will depend on creating genuine value rather than chasing trends, developing platform-specific strategies rather than cross-posting identical content, and focusing on building relationships with fewer, more engaged followers. 

Ready to optimize your social media strategy for 2025? Visit https://www.theblissgrp.com/capabilities/content-marketing/ to learn more.  

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