User-controlled social algorithms: What changes for SMEs

The change underway: feeds become a mirror of declared preferences

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

In practice, users can now explicitly report thematic preferences, reduce the visibility of certain content, and amplify specific categories. Furthermore, some platforms are testing customization sliders and dedicated control panels. This represents a significant paradigm shift. Unlike in the past, organic reach will increasingly depend on the user's own perceived relevance.

Why this turn is not just an UX issue

The push for user-controllable algorithms is a response to increasing regulatory pressures. In Europe, the Digital Services Act mandates greater transparency for the recommendation systems of large platforms. Therefore, this evolution is not exclusively a product choice: it is also a response to increasingly stringent regulatory constraints.

However, the most interesting effect is on user behavior. Those who actively personalize their feed become more aware and selective content consumers. Consequently, reaching these individuals with generic or promotional content becomes progressively less effective. In fact, a user who has declared their interests expects content consistent with those preferences.

According to the analysis of Gartner, algorithmic transparency is destined to become a platform choice criterion for more 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 concrete opportunities. First, an algorithm that reflects stated preferences is more predictable. Therefore, those who produce content that is vertical and consistent with a specific sector are more likely to be distributed to the right users.

Furthermore, the competitive advantage of companies that in the past exploited high volumes of generic content to saturate feeds is reduced. On the contrary, quality and thematic relevance become differentiating factors. For SMEs with limited resources, this is potentially a leveling of the playing field.

We of SHM Studio We are already observing in campaigns managed for B2B and retail clients a growing correlation between content specificity and engagement rates. Therefore, investing in a copywriting strategy A thematic vertical orientation is a choice that is also justified in terms of organic ROI.

What's changing in paid campaign logic

Algorithmic user control isn't just about organic distribution. Paid campaigns are also influenced. In fact, if a user has set explicit preferences, the platform will tend to respect them even when selecting the ads shown. Therefore, a company promoting content inconsistent with its target audience's declared preferences risks a penalty in terms of relevance and cost per impression.

In particular, Instagram and TikTok campaigns will need to be designed with even greater attention to interest-based segmentation. Similarly, the format and tone of sponsored content will need to be as close as possible to the organic content that the user has chosen to see. This principle is not new, but it becomes more critical in an ecosystem where the user has tools to actively filter.

To further explore the implications for paid campaigns, it is helpful to consult the resources dedicated to Google Ads campaigns and all LinkedIn campaign che SHM Studio manages for SME clients. Also on LinkedIn, by the way, feed personalization is evolving.

What the data still doesn't say

It is appropriate to maintain a critical perspective. Currently, algorithmic control features are being progressively rolled out. Not all users are actively using them. In fact, the majority of social media users tend not to change the default settings. Therefore, the real impact in the short term may be more limited than expected.

Despite this, the strategic direction is clear. According to Harvard Business Review, platforms that offer users greater control register higher medium-term retention rates. Consequently, it is reasonable to expect increasing adoption of these tools in the next 12-18 months. Planning today means not being caught unprepared tomorrow.

Concrete actions to consider in the coming weeks

First of all, it is advisable to review the audience mapping on the main social media channels. If the interest-based segmentation has not been updated recently, now is the right time to do so. Additionally, it is worth analyzing which content has achieved the most qualitative engagement in the last six months, regardless of impression volume.

In the future, it is advisable to structure an editorial plan that favors thematic coherence over publication frequency. Therefore, fewer but more relevant content pieces in relation to the company's positioning. This approach naturally integrates with a SEO strategy oriented towards topical authority, where thematic depth is rewarded both in search engines and social feeds.

Finally, it is useful to consider how the company website can serve as a hub for in-depth content, 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 of digital marketing The SHM Studio is available for an initial evaluation.

Forecast: Where does this trajectory lead in 2027

User-controlled algorithmic personalization is likely just the first step in a broader transformation. By 2027, it's plausible that platforms will introduce fully modular feeds where users define not only their interests but also the relative weight of different ranking signals. Consequently, brand competition will shift further towards perceived relevance.

Additionally, integration with tools artificial intelligence will allow companies to adapt content in real-time based on aggregated preference signals. This scenario requires investment in analytical capabilities and flexible content production. For SMEs, the starting point is to build a solid foundation today: well-segmented audiences, relevant content, and consistently monitored quality metrics.

Those who wish to delve deeper into these dynamics or evaluate a review of their social strategy can consult the SHM Studio Blog or contact the team directly via the Contact Us.