April Platform Pulse: What The Most Recent Social Platform Updates Mean For Brands

Check out this month's social media platform updates and what they mean for your brand.

TikTok’s “Add to Music App” drives over 6 billion track saves in one year

TikTok reported that its “Add to Music App” feature generated more than 6 billion track saves to streaming platforms like Spotify, Apple Music, and Amazon Music over the past 12 months.

The feature allows users to save songs directly from TikTok to their preferred streaming service at the moment of discovery, turning in-app engagement into off-platform listening and chart performance.

What this means for brands:

• TikTok's role in the music industry is now quantifiable at scale. Six billion saves, when converted into multiple streams, give music-adjacent brands (e.g., streaming platforms, headphone and audio brands, live events) a clearer case for TikTok as a primary channel for reaching music fans.
• The feature confirms TikTok as a top-of-funnel driver for DSPs. For brands running campaigns on Spotify, Apple Music, or Amazon Music, TikTok is increasingly where the audience first encounters the content. Cross-platform strategies that connect TikTok discovery to streaming platform engagement are worth building out.
• Emerging artist momentum on TikTok translates to mainstream chart performance. SIENNA SPIRO went from TikTok virality to Billboard and UK chart placements. Brands looking for authentic music partnerships should be watching TikTok's top saves list as an early signal of which artists are breaking through before they become expensive to work with.

Instagram API adds partnership labels, new metrics, and engagement tools

Instagram released a set of API updates. Publishers can now apply the "Paid partnership" disclosure label directly at publish time through the Content Publishing API, with or without tagging a specific brand.

New engagement metrics include repost counts, save counts, and share counts via the Media endpoint, plus aggregated views, likes, and comments that combine data across Instagram, cross-posted Facebook, and boosted placements.

New collaborative media endpoints let developers retrieve and measure content where a user is an accepted collaborator. The API also now supports liking and unliking posts, Reels, and comments on behalf of users.

What this means for brands:

• Partnership disclosures no longer require a manual step after publishing. Third-party scheduling tools can now apply the paid partnership label at the point of publication, removing the extra step creators previously had to take inside the Instagram app.
• Performance data is more complete. Aggregated metrics for views, likes, and comments now pull from all placements, including cross-posted Facebook content and boosted media, providing a more accurate view of how content performs.
• Collaborative post performance is now trackable through the API. Brands running co-created content can pull engagement data on collaborative posts directly, without manually checking in-app analytics.
• Engagement workflows can be managed programmatically. The ability to like posts and comments through the API lets platforms build moderation and engagement tools without requiring manual action inside Instagram.
  

Instagram gives users more control over their Reels and Explore algorithm

Instagram expanded its "Your Algorithm" feature, originally launched for Reels in December 2025, to the Explore surface as of April 15, 2026.

Users can now view the topics Instagram thinks they care about, adjust preferences by typing in topics they want to see more or less of, and have those changes apply across both Reels and Explore simultaneously. Interests can also be shared to Stories.

On Explore specifically, users can add or remove interests directly from topic pills at the top of the page.

What this means for brands:

• Topic relevance matters more now. Users can actively tune out categories they're not interested in. Brands that rely on broad reach need content that earns its place in a specific interest category, not only content that performs well across the board.
• Niche content has a stronger case. The more clearly a piece of content maps to a defined topic, the more likely it is to reach users who have signaled interest in that category. Specificity is an advantage here.
• Explore is no longer just a discovery surface. With algorithm controls now extended to Explore, the audience arriving there is increasingly self-selected. Content that performs well on Explore must align with stated preferences.
• Audience interest data is worth watching. As users share their algorithms to Stories, brands and creators may get clearer signals about what their followers are actually into, outside of what they engage with on any given account.

Meta is projected to overtake Google as the world's largest digital ad business

According to Emarketer, Meta is expected to surpass Google in net ad revenue in 2026, reaching $243.46 billion against Google's $239.54 billion. It would be the first time a social media company has held that position. The figures account for revenue after deducting traffic and content acquisition costs.

What this means for brands:

• Meta's ad dominance is no longer theoretical. Surpassing Google reflects how much buying behavior has migrated to social surfaces. Budgets that once defaulted to search deserve a harder look at how they're allocated across platforms.
• AI-driven ad products are fueling the gap. Meta's growth has been driven by newer ad formats and AI-powered targeting. Brands that haven't yet tested those tools are at a disadvantage compared to those that have.
• Search and social are no longer separate budget conversations. As Meta closes in on Google's ad revenue, the case for treating them as distinct channels with distinct logic gets weaker. Planning teams should be thinking across both simultaneously.
• The competitive pressure on Google benefits advertisers. A closer race for ad dollars between the two largest platforms typically produces better tools, pricing, and measurement options for buyers on both sides.

Snapchat sees rapid growth in real-time “Topic Chats” during live events

Snapchat reported strong engagement in its Topic Chats feature, with tens of thousands of users joining real-time group conversations around events like March Madness.

During the tournament, more than 45,000 users joined the #marchmadness chat, with over 40,000 active at peak moments and more than 90,000 messages exchanged. The feature allows users to participate in moderated, public group chats focused on specific topics or live events.

What this means for brands:

• Snapchat now has a live event conversation surface worth paying attention to. The March Madness numbers show fans are willing to gather in a single moderated space rather than scatter across feeds and comment sections. For brands active around tentpole sports moments, this is a new context to consider alongside traditional sponsorship and ad placements.
• Moderation makes a difference for brand adjacency. Topic Chats are intentionally moderated, which separates them from the chaos of open comment sections. That makes the environment more predictable for brands that want to show up near live cultural conversations.
• The behavior points to a broader appetite beyond sports. Snapchat frames this as evidence of demand for real-time, passion-based conversation around major moments generally. Brands in entertainment, music, and culture should watch whether Topic Chats develop around non-sports events with similar engagement.
  

YouTube Live adds engagement protections and expanded monetization tools

YouTube released a set of updates to YouTube Live focused on monetization, ad timing, and multi-format streaming.

Viewers can now send gifts on horizontal live streams in addition to vertical. When a viewer sends a Super Chat, Super Sticker, or gift, an ad-free window now automatically follows the purchase. The platform now automatically pauses ads when live chat engagement spikes. On the format side, creators can now go live in vertical and horizontal simultaneously, with both audiences sharing a single chat.

What this means for brands:

• Ad placement on live streams is becoming more dynamic. YouTube is now automatically adjusting when ads run based on viewer behavior and purchase moments. Brands buying live-stream inventory should understand that delivery timing is more platform-controlled rather than fixed.
• Gift and Super Chat expansion opens new co-sponsorship territory. As monetization tools expand into more countries and formats, live streams are increasingly viable as branded activation spaces. A brand sponsoring a creator's live stream now sits alongside a growing suite of fan-funding moments.
• The CTV live audience is large enough to factor into planning. Over 30% of live watch time on YouTube came from connected TVs in 2025. For brands running live sponsorships or mid-roll placements, that audience is watching on a TV screen, not a phone.
• Simultaneous vertical and horizontal streaming changes how branded content works. A single live stream can now reach both mobile and TV audiences at once. Creators producing branded content live will need to think about framing and format for both screens.

YouTube brings its conversational AI tool to smart TVs

YouTube's conversational AI tool, which launched on mobile and web in 2024, is now available on smart TVs. While watching a video, viewers can select the "Ask" button and use their remote's microphone to ask questions without pausing. Default prompts are available to help viewers get started.

What this means for brands:

• The TV viewing session is becoming more interactive. Viewers can now ask questions about content while watching on the biggest screen in the home, which changes the nature of passive TV viewing. Brands advertising on YouTube CTV should factor in that audiences may be more engaged and curious than a traditional lean-back TV audience.
• Content that prompts questions performs differently from content that doesn't. Tutorials, product reviews, travel content, and how-to formats are more likely to generate AI tool usage than passive entertainment. Brands sponsoring that type of content may benefit from heightened viewer attention.
• Product discovery behavior on TV is worth watching. If viewers start asking "where can I buy this" or "who makes this product" while watching brand-adjacent content, the path from a CTV impression to purchase intent shortens. That's not yet confirmed behavior, but the infrastructure for it now exists on the largest screen in the house.

LinkedIn expands AI-powered people search to all U.S. members

LinkedIn introduced an updated AI-powered search experience designed to help users find relevant people faster, powered by natural language, personalization, and contextual insights.

Users can now describe who they’re looking for in plain language instead of relying on filters or exact keywords. Search results are personalized based on profile data and past activity, and include AI-generated summaries explaining why a person appears in results and how they may be relevant, such as shared companies, schools, or experience. Verification badges are also now visible directly in search results.

What this means for brands:

• LinkedIn profiles need to be built for intent, not just keywords. AI-powered search surfaces people based on what a searcher is looking for, not just on which terms match. Profiles that are specific about experience, industry context, and outcomes will surface more reliably than generic ones.
• Discoverability on LinkedIn is changing for executives and spokespeople. As AI summaries begin explaining why someone is relevant to a searcher, the way a profile frames experience becomes more consequential. Brands investing in executive thought leadership should factor this into how they write profiles.
• B2B prospecting workflows on LinkedIn will get faster. The ability to search by intent and get AI-generated context on results shortens the research process for anyone using LinkedIn for outreach, partnership development, or influencer identification.

Threads API gets a content and management upgrade

Threads released an API update that expands how brands publish content and manage interactions.

New content options include long-form text (up to 10,000 characters) with formatting, GIF support via GIPHY, spoiler tags across text, image, and video, and “ghost posts” that auto-archive after 24 hours. Posts can also be cross-shared directly to Instagram Stories.

Threads also introduced easier embedding (no API token required), improved post creation tools, expanded search and discovery, reply approval workflows, and real-time webhook notifications for post activity.

What this means for brands:

• Ghost posts create a new content format. The 24-hour auto-archive setup works well for reactive moments such as real-time commentary, event reactions, or test messaging that doesn’t need to live on your profile long term.
• Reply approvals give brands more control over conversations. For campaigns or launches that may attract high volumes of responses, teams can review and approve replies before they appear.
• Embedding is easier to implement. The tokenless oEmbed API allows teams to pull Threads posts into articles, landing pages, or campaign recaps without going through App Review, removing a common barrier to using Threads content off-platform.
• The lower follower threshold expands creator discovery. Reducing eligibility from 1,000 to 100 followers increases the number of accounts surfaced via the API, helping teams identify and track emerging creators in a category.

Threads introduces Live Chats for real-time group conversations during events

Threads launched Live Chats, a new feature that lets users join public, real-time group conversations during live events like sports games or cultural moments.

Live Chats are designed for synchronous interaction, featuring real-time polls, countdowns, live scores, and typing indicators. Users can join, message, react, and share media within chats, even if they enter after capacity is reached. Creators and community hosts can schedule and promote chats, which remain discoverable after they end.

What this means for brands:

• Threads now has a live event format with built-in media personality integration. The NBA launch is structured around named hosts with existing audiences. Brands with sports or entertainment partnerships should watch how this develops as a potential activation surface.
• The format is direct competition for X during live events. Real-time public conversation around cultural moments has been X's clearest remaining advantage. Threads is building the infrastructure to contest that directly, and brands that have maintained X budgets for live-moment adjacency should track whether audience behavior follows suit.
• Community-based Live Chats are coming beyond sports. Threads is framing the NBA launch as a starting point, with more communities to follow. Brands in music, entertainment, and culture have a window to get involved early as new communities open up.