Customizable Instagram algorithm: what changes for brands

The context: Instagram redesigns the relationship between user and feed

In recent years, Meta has gradually centralized editorial control over the Instagram feed. Today, though, the direction seems to be reversing. According to TechCrunch, the platform is testing new tools that let users adjust the criteria of the algorithm behind the “Your Algorithm” section.

In practice, users will be able to set more granular preferences for content types, creators and topics. The feed becomes less universal and more personalized. This change has direct implications for anyone producing content for a brand.

The move also fits into a broader regulatory context. The European Digital Services Act requires platforms to be more transparent about their algorithms. So Meta is getting ahead of some regulatory requirements with user-facing features.

Immediate impact on organic content distribution

When users can actively filter the content they see, the logic of organic distribution changes. A brand that doesn't match a user's stated preferences risks being systematically left out of their feed. On the other hand, those who create highly relevant content, consistent with a precise thematic positioning, gain greater visibility.

So organic reach will no longer depend only on implicit engagement signals. It will also depend on users' explicit choices. This is a structural change, not a simple optimization.

Much like what already happens on YouTube with its recommendation controls, Instagram is moving toward a hybrid model. In this model, the algorithm and stated preferences coexist. As a result, the editorial consistency of a brand profile becomes a strategic asset.

What industry data already anticipated

This change isn't happening in isolation. As early as 2025, several reports pointed to a drop in average organic reach on Instagram for business profiles. According to Gartner, the fragmentation of attention on social media is one of the main challenges for marketing managers in 2026-2027.

Research from Harvard Business Review also confirms that users are growing increasingly impatient with content they see as irrelevant. Algorithmic personalization tools respond to a real audience need.

For brands, this means posting volume matters less than perceived quality. A editorial strategy focused on a few key themes beats a generalist approach.

Three practical implications for Italian marketing managers

First, you need to review the topical positioning of your company's Instagram profile. A brand that covers too many subjects risks not fitting into any user preference category. Editorial specialization becomes a lever for visibility.

Next, dig deeper into your existing audience data. Understanding which content generated saves, shares and qualified comments is more useful than looking at likes. These signals anticipate the preferences users may state explicitly.

Finally, it makes sense to integrate Instagram into a consistent multichannel strategy. That way, even if organic reach on Instagram drops for some segments, other touchpoints make up for it. At SHM Studio, we work on this kind of integrated architecture with our clients, combining digital marketing, SEO and organic social presence.

The role of editorial content in the new algorithmic logic

A customizable algorithm rewards consistency. That's why strategic copywriting isn't just about your website or company blog. It also covers Instagram captions, stories and reels. Every piece of text helps define the profile's topical positioning.

Visual quality alone is no longer enough, either. Next-generation algorithms read the text, hashtags and metadata of content. Investing in structured editorial production, social included, delivers measurable returns in the medium term.

That's why companies that already work with an editorial plan spanning blog, newsletter and social have a head start. This consistency also makes it easier to collect first-party data, which is increasingly valuable in a post-cookie world.

Outlook: where this evolution leads by 2027

Algorithmic personalization is set to go deeper. Even so, it won't eliminate paid advertising. If anything, it will make it more segmented and potentially more effective. If you run Google Ads campaigns or LinkedIn campaigns, you'll find in Instagram a complementary tool with similar targeting logic based on stated interests.

Meta is also likely to extend these features to Facebook and Threads. As a result, the distribution model of the entire Meta ecosystem could evolve toward a more subscription-like logic, where stated relevance drives visibility.

For Italian SMEs, this scenario is an opportunity. A niche brand with clear positioning can compete with bigger players if it creates highly relevant content for its segment. In this sense, AI solutions for content production and optimization become a real accelerator.

Web design and UX also remain central. A user who discovers a brand on Instagram must land on a page that matches the expectations set by the social profile. Otherwise, the funnel breaks before conversion.

What to do now: priorities for the next 90 days

First, run an audit of your company's Instagram profile. Check the topical consistency of your last 30 posts, then identify the topics that generate the most qualified engagement.

Next, define 3-5 clear editorial pillars. These pillars will guide your content production so you maximize the chance of matching target users' preferences. They also make it easier to delegate production, internally or externally.

Finally, keep an eye on how algorithm personalization features evolve over the coming weeks. Meta tends to roll out new features gradually. That's why updating your skills through reliable sources, and working with specialized partners like SHM Studio, makes the difference between those who get ahead of change and those who are caught by it.