User-controlled social algorithms: what changes for SMEs

The ongoing shift: feeds become a reflection of stated preferences

Until recently, social network algorithms worked like black boxes. Platforms decided what to show on their own, based on implicit behavioral signals. Today the direction is different. According to reports by TechCrunch , Threads, Instagram, and TikTok are introducing tools that allow users to directly influence algorithmic recommendations.

Basically, people can now flag what topics they like, dial back certain posts, and boost specific categories. On top of that, some platforms are testing out personalization sliders and dedicated dashboards. It's a pretty big game-changer. Unlike back in the day, how far your posts go organically is going to rely way more on whether the user actually finds them relevant.

Why this turning point is not just a UX issue

The push for user-controlled algorithms is a response to mounting regulatory pressure. In Europe, the Digital Services Act requires major platforms to be way more transparent about their recommendation systems. So, this shift isn't just a product choice—it's also a way to keep up with tighter and tighter rules.

However, the most interesting effect is on user behavior. Those who actively customize their feed become more mindful and selective content consumers. As a result, reaching these people with generic or promotional content becomes progressively less effective. In fact, a user who has stated their interests expects content that matches those preferences.

According to the analyses of Gartner , algorithmic transparency is set to become a platform choice criterion for the most active users. This data has direct implications for those planning investments in organic and paid content.

The immediate impact on the organic reach of SMEs

For small and medium-sized Italian businesses, change brings real opportunities. First of all, an algorithm that reflects stated preferences is more predictable. Therefore, anyone who produces niche and consistent content for a specific sector is more likely to be shown to the right users.

Plus, it shrinks the competitive edge companies used to have when they pumped out tons of generic content just to fill up feeds. Instead, quality and spot-on relevance are now the dealbreakers. For SMEs with smaller budgets, this is a total game-changer that levels the playing field.

We at SHM Studio we already observe in campaigns managed for B2B and retail clients a growing correlation between content specificity and engagement rates. Therefore, investing in a copywriting strategy oriented towards thematic verticality is a choice that is also justified in terms of organic ROI.

What changes in the logic of paid campaigns

Algorithmic user control isn't just about organic reach. Paid campaigns are affected too. In fact, if a user has set explicit preferences, the platform will try to respect them even when picking the ads to show. So, a brand pushing stuff that doesn't match what the target audience asked for risks getting slapped with lower relevance and higher costs per impression.

Specifically, campaigns on Instagram and TikTok need to be planned with an even sharper focus on interest targeting. Similarly, the style and vibe of sponsored posts should blend in as much as possible with the organic stuff the user actually wants to see. This rule isn't brand new, but it's way more critical now that people have actual tools to filter out what they don't want.

To learn more about the implications for paid campaigns, it is helpful to check out the resources dedicated to google ads campaigns and to the LinkedIn campaigns that SHM Studio manages for SME clients. On LinkedIn too, by the way, feed customization is currently evolving.

What the data still does not say

It is a good idea to keep a critical perspective. Right now, the algorithmic control features are rolling out gradually. Not all users are actively using them. In fact, most social media users tend to stick with the default settings. So, the real short-term impact might be smaller than expected.

Despite this, the strategic direction is clear. According to Harvard Business Review , platforms that give users more control see higher retention rates over the medium term. Because of this, it makes sense to expect more and more people to use these tools over the next 12 to 18 months. Planning today means you won't be caught off guard tomorrow.

The concrete actions to consider in the coming weeks

First of all, it's a good idea to review your audience targeting across the main social channels. If your interest-based segmentation hasn't been updated recently, now's the time to do it. Plus, it's worth taking a look at which posts drove the most meaningful engagement over the past six months, no matter how many impressions they got.

Next, it's a good idea to set up a content plan that focuses on sticking to your themes rather than just posting all the time. So, fewer posts but more relevant ones for your company's brand. This approach fits right in with a SEO Strategy oriented towards topical authority, where thematic depth pays off both in search engines and on social feeds.

Finally, it is useful to consider how the corporate website can act as an in-depth content hub, to which social traffic can be directed. A optimized website and a consistent social presence reinforce each other in this new context. For SMEs that want to structure this integration, the team at Digital marketing by SHM Studio is available for an initial assessment.

Outlook: where this trajectory leads in 2027

User-controlled algorithmic personalization is probably just the first phase of a broader transformation. By 2027, it is plausible that platforms will introduce completely modular feeds, where the user defines not only their interests but also the relative weight of different ranking signals. Therefore, brand competition will shift even further toward perceived relevance.

Furthermore, integration with tools of Artificial intelligence it will allow companies to tailor content in real-time based on aggregated preference signals. This scenario requires investing in analytical skills and flexible content creation. For SMEs, the best starting point today is building a solid foundation: well-segmented audiences, relevant content, and quality metrics tracked consistently.

Those who want to dive deeper into these dynamics or evaluate a review of their social strategy can check out the SHM Studio blog or contact the team directly through the contact page .