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  • How to Measure and Increase Social Media Engagement: 11 Strategies for Creators

    How to Measure and Increase Social Media Engagement: 11 Strategies for Creators

    Engagement — the Creator’s New Currency

    Views are nice to look at, but they don’t create momentum. Engagement does. In 2026, it’s interaction with content that determines how far it spreads. Every saved post, repost, or comment tells the algorithm: “This is worth showing to more people.” The more of these signals you collect, the further your content travels.

    Most creators simply publish posts and hope for the best. This article offers a system: first, how to measure real engagement, then 11 strategies to boost it. You’ll also learn how Restream can become your command center for cross-platform engagement and turn one piece of content into several high-performing clips.

    How to Measure Social Media Engagement

    Not all metrics are equally important. Passive views look nice on a dashboard, but they don’t move the needle like active signals. Engagement is when someone takes a deliberate action: shares, saves, comments, replies. This requires more effort than just scrolling through a feed, and platforms know it. When they see your content being saved or forwarded, they take it as proof of value and promote it more widely.

    You can’t improve what you don’t track. Daily metric monitoring is the most reliable way to understand which topics resonate and which fall flat. Focus on three key numbers:

    • Reach
    • Interactions (likes, comments, shares, saves)
    • Conversion to actions (link clicks, profile visits)

    Many creators divide interactions by follower count. This misses the bigger picture. Algorithms regularly show your content to people who aren’t following you yet, so follower count doesn’t reflect the true appeal of your content. Use this formula: (Total Interactions ÷ Total Reach) × 100. Measuring relative to reach shows how the content performed with everyone who saw it, which is a more honest indicator of growth.

    11 Strategies to Boost Social Media Engagement

    Strategy 1: High-Frequency Testing

    To understand what works, you need enough data. Publish often — up to six times a day in test mode. Modern algorithms evaluate each post individually, so posting frequency won’t hurt your current reach. Instead, you’ll quickly gather a large volume of data and see which formats and topics land.

    How to Measure and Increase Social Media Engagement: 11 Strategies for Creators

    High-frequency posting is sustainable only if you’re not doing all the heavy lifting manually. Cutting a three-hour stream into daily shorts by hand leads to burnout. Restream Clips does it for you: it analyzes your live streams, finds the most interesting moments, formats them for vertical viewing, and adds subtitles. You get the work of a full-time editor in a few clicks.

    Strategy 2: Use AI clipping for scaling

    Once your content is published, study the data. Find the top 10% of posts by saves and reposts—these are your winners. Build on them. Take the core theme of a winning clip and repackage it into a new format: a Twitter thread, a LinkedIn carousel, or an interactive poll. If something worked once, it’s a signal to repeat it.

    Viral clips follow patterns that can be broken down and reused. Every strong short post has a structure: hook, value, call to action. If you’re unsure which moments to turn into clips, AI clippers automatically highlight the best segments, saving you hours of watching long videos.

    Strategy 3: Double Down on Winning Content

    Once you’ve found your winners, don’t stop. Create variations: change the background, voice tone, add new intros. This is called content repurposing. One webinar can be turned into 50 clips for TikTok, Shorts, and Reels. This way, you scale production without losing quality.

    Strategy 4: Master the Hook–Value–Action Structure

    Every strong short post follows one scheme: hook (first seconds), value (core information), action (call to action). The hook must grab attention in the first 2-3 seconds, or the viewer will leave. Value is useful information, advice, or insight that makes people save the post. Action is a specific call, like “Save this post” or “Subscribe to the channel.”

    Strategy 5: Use the First Hour Rule

    The first 60 minutes after publishing are critical. Reply to every comment in this window—it tells the algorithm the post is active. But beyond algorithmic benefits, this builds a real community. Creators who show up in the comments gain loyal followers faster than those who post and disappear.

    How to Measure and Increase Social Media Engagement: 11 Strategies for Creators

    Strategy 6: Create Content People Want to Share and Save

    Likes are nice, but saves and reposts matter more. Create content people will want to return to: tutorials, quick tips, checklists, clear explanations. When people feel it will be useful later, they save it. That’s exactly what you need because saves are the strongest engagement signal on Instagram and TikTok in 2026.

    Strategy 7: Use Interactivity in Live Streams

    Live Q&A sessions trigger a surge of real-time comments that’s hard to replicate with recorded content. Viewers interact with you directly, quickly boosting engagement. When the stream ends, use AI tools to cut the best moments and feed your short-video strategy. One stream can provide content for several days.

    Strategy 8: Optimize for Mobile Consumption

    Over 90% of social media interactions happen on mobile devices. If text overlays are cut off by the app interface, or audio is hard to understand without headphones, people will scroll past. Keep important visual elements within platform safe zones and always include subtitles for sound-off viewing. Restream Clips automatically formats videos for mobile and includes a built-in editor so you can adjust the layout.

    Strategy 9: Comment Bumping to Revive Old Posts

    You don’t need to reply to every comment instantly. But save a few thoughtful responses and publish them within the next 24–48 hours to bring the post back to the commenter’s feed (and possibly their followers’ feeds). This restart of the notification cycle is a simple way to extend the life of content that has already performed well.

    Strategy 10: Use Native Platform Features

    Polls, interactive stickers, and sliders in Instagram Stories or YouTube community posts are specifically designed for a low entry barrier—one tap and it’s done. When someone takes such a small step, they are more likely to take a more significant action later, like leaving a comment on your next video. Use these built-in features when appropriate: they provide easy engagement now and stronger engagement later.

    Strategy 11: Audit Content Pillars

    Make it a habit to analyze analytics at the end of each month. See which topics are losing traction and which new ones are gaining momentum. Cut what consistently doesn’t work and test fresh ideas. Your strategy should evolve with your audience.

    How to Measure and Increase Social Media Engagement: 11 Strategies for Creators

    Conclusion: Scale Engagement with Data

    Social media growth doesn’t have to be a guessing game. When you track the right metrics, you see what resonates and what gets ignored. Focus on repeating what works and testing new angles. Prioritize strong signals—saves and shares, post enough to learn quickly, and stay active in the comments. This combination leads to more stable reach and engagement over time.

    Want to test at scale without getting stuck in editing? Restream Clips helps turn long streams into short clips in minutes. Try it for free by uploading your first video.

    Frequently Asked Questions

    Is posting 6 times a day too often?

    For a testing period—no. It provides a large volume of data for analysis. But watch quality: better 6 good posts than 6 mediocre ones. If you use AI clipping, it doesn’t take much time.

    What’s the best way to organically boost engagement?

    Create content people want to save and share: tutorials, checklists, insights. Reply to comments within the first hour, use interactive stickers, and go live. And don’t forget the hook–value–action structure.

    Start today. It’s great to see your audience grow. And with the right tools and strategies, you’ll turn views into a real community.

  • HBO Max Launches Content Clips: How Streaming Giants Copy Creators’ Strategy

    HBO Max Launches Content Clips: How Streaming Giants Copy Creators’ Strategy

    Warner Bros. Discovery announced the launch of HBO Max Shorts — a new vertical feed in the Max app that will show subscribers short clips from content they don’t have access to. According to Digital Trends, the feed includes trailers, clips, and bonus materials, each leading to the full version of a show or movie with a single tap. This move marks another step in how streaming giants copy creators’ strategy by adapting viral formats to their platforms.

    How HBO Selects Scenes for Clips

    The company uses its own machine learning tool that scans the content library and looks for emotionally charged moments capable of intriguing viewers. However, human editors make the final decision on publication. This hybrid approach allows combining the speed of algorithms with human intuition for truly captivating scenes.

    Why Streaming Services Copy Creators’ Strategy

    Content clipping is one of the main audience growth tools for creators like MrBeast, who spend hundreds of thousands of dollars on editing teams. Disney, Netflix, and Paramount have already integrated short content into their apps. Peacock attracts over 100 million monthly views on YouTube through clips, Paramount around 60 million, and the HBO Max channel brings in over 120 million monthly views.

    HBO Max Launches Content Clips: How Streaming Giants Copy Creators' Strategy

    These numbers show that short videos have become not just a trend but a necessity for retaining audience attention. Streaming giants have realized that users are accustomed to fast content consumption on platforms like TikTok and YouTube Shorts, and are now adapting this model to their ecosystems.

    Advantages and Risks of HBO’s Strategy

    The new feed attempts to replicate the viral effect of TikTok and YouTube within its own app, keeping viewers in the Max ecosystem. This helps reduce user churn to external platforms and increase watch time within the service.

    However, this approach may limit viral distribution that external platforms provide. When clips remain only within the app, they lose the ability to attract new users through social networks. The strategy’s success will depend on the quality of the recommendation algorithm and how accurately it can predict viewer interests.

    HBO Max Launches Content Clips: How Streaming Giants Copy Creators' Strategy

    Frequently Asked Questions

    When will HBO Max Shorts become available to all users?

    Currently, the feed is being tested on iOS users in the US. Expansion is planned later, but exact dates have not been announced yet.

    How is HBO Max Shorts different from clips on YouTube?

    Clips in the Max app lead to full versions within the service, not to external platforms. This creates a closed ecosystem where each view potentially converts into a subscription or user retention.

    How long does it take to clip a stream?

    The time depends on the volume: automatic clipping can take minutes, manual clipping hours. For a 2-hour stream, a professional editor spends about 30 minutes. Using machine learning tools can reduce this time to a few minutes, but final processing still requires human oversight.

    HBO Max Launches Content Clips: How Streaming Giants Copy Creators' Strategy

    Conclusion

    The launch of HBO Max Shorts is a logical step in the evolution of streaming services, which are increasingly borrowing tactics from content creators. Short videos are becoming not just an addition but a key element of audience retention strategy. However, success will depend on the balance between internal distribution and the viral potential of external platforms.

    Want to clip your streams and podcasts? Order 20 clips from one stream — we’ll package highlights in 9:16 format for TikTok, YouTube Shorts, and Reels with subtitles and no quality loss. Start attracting new audiences today!

  • AI Visibility: How to Distinguish Real Growth from Measurement Noise

    AI Visibility: How to Distinguish Real Growth from Measurement Noise

    Data on AI visibility is unstable: generative models produce different answers each time, so a single measurement can be misleading. A new study by IQRush proposes a stopping rule to determine when ratings become reliable. In this article, we will break down how to distinguish real growth from measurement noise and what practical conclusions follow for marketers.

    Why Single Measurements of AI Visibility Are Unreliable

    Search engines like SearchGPT, Gemini, and Perplexity introduce randomness into every answer. The same query can yield different sources — this is a feature of the architecture. The study showed that, for example, when testing SearchGPT on the topic of running gear, Tom’s Guide received about 9.5% of citations, while Runner’s World received approximately 6.0%. The difference of 3.5 percentage points was within the margin of error, so claiming Tom’s Guide’s superiority was incorrect.

    How Much Data Is Needed for a Reliable Rating

    The answer consists of two conditions that must be met simultaneously. First: the order must stop changing. After collecting a sufficient number of responses, the top sites begin to stand out clearly. Second: the difference between the top sites must exceed the measurement error. If competitors are too close, the rating does not reflect real superiority.

    In 30 tests across different platforms and topics, the number of responses needed to meet both conditions ranged from 33 to 94 (only responses with citations were considered). In three out of 30 cases, this was not achieved even after 125 queries — all on SearchGPT, where the top sites were too similar.

    Practical Takeaways for Marketers

    Rand Fishkin (SparkToro) advises: before spending money on tracking AI visibility, make sure the provider “shows their math.” The IQRush study provides a simple stopping rule to avoid relying on intuition. If after updating content you see a 3 percentage point increase in citations, this could be natural variation. Measure indicators before and after multiple times — a single measurement is indistinguishable from noise.

    AI Visibility: How to Distinguish Real Growth from Measurement Noise

    Different Platforms — Different Data Requirements

    Gemini loads citations from the same sites within a single response, so many citations carry little new information. SearchGPT gives fewer citations per response but distributes them more widely — each response contains more independent data. The same number of responses on two platforms does not provide the same confidence: a budget sufficient for Gemini may leave you in the dark on SearchGPT.

    When Data Is Insufficient: Know When to Stop

    In three out of 30 tests, the top sites never clearly separated. In such cases, the right decision is to refrain from publishing a rating. A tracker that can say “insufficient data” is more valuable than one that outputs a confident order with every query.

    Only leaders can be trusted: with enough responses, they pull away from the middle and tail. But even for the top 10, the typical margin of error is about five positions, and every fifth position is more than 10. Do not publish exact rankings beyond the top of the list.

    Limitations of the Study

    This is a preprint based on 30 tests across three platforms using questions generated by ChatGPT, not real user queries. The exact numbers do not transfer to your topics — treat them as a form of the problem, not a table of values. In one test, 125 questions yielded only 104 useful responses (17% loss), so the actual number of queries should be higher.

    AI Visibility: How to Distinguish Real Growth from Measurement Noise

    The method was validated internally: the early rating was compared to the final one, not to an external benchmark. However, an independent team from the University of St. Gallen (Julius Schulte, Malte Bleeker, Philipp Kaufmann) published similar results on their dataset in April, confirming that a single reading is unreliable.

    The Future of AI Visibility: From Exact Numbers to Ranges

    Reporting on AI visibility is moving toward a format with margins of error, as in advertising and web analytics. Until Search Console reports which clicks came from AI, the task falls on you: run the check multiple times and report a range, not a single number from a dashboard.

    Frequently Asked Questions

    How many times should you query AI search to get stable data?

    From 33 to 94 responses with citations, depending on the platform and topic. There is no universal threshold.

    Can you trust AI visibility dashboards?

    Only if they show the margin of error and multiple measurements. A bare number without context is a red flag.

    AI Visibility: How to Distinguish Real Growth from Measurement Noise

    What to do if citations increase by 3% after a content update?

    Take several measurements before and after. If the difference persists — it’s real growth. If not — it’s noise.

    Which platforms require more data?

    SearchGPT — due to fewer citations per response but greater independence of each response. Gemini — conversely, gives many citations, but they often repeat the same sites.

    Conclusion

    The main takeaway: AI visibility is not a fixed metric but a range. Use the stopping rule, check multiple times, and do not publish ratings if the top sites have not separated. Only then will you get data you can rely on. Start implementing these principles today to make your AI visibility reports reliable and useful for decision-making.

  • HelloFresh Brought AI Creative to Times Square: How Ad Studio Works

    HelloFresh Brought AI Creative to Times Square: How Ad Studio Works

    HelloFresh Brought AI Creative to Times Square: How Ad Studio Works

    In June, the CDP platform Hightouch launched a one-day activation on Times Square to showcase ads created by clients using the new Ad Studio tool. Participants included Sweetgreen, Tripadvisor, and HelloFresh. This case demonstrates how AI creative helps brands scale content production and reach global platforms.

    Why Brands Need AI Creative at Scale

    According to Conor Feeney, Head of Marketing at HelloFresh US, brands are now “forced to produce significantly more creative than ever before.” Audience attention spans are shrinking, and fresh ads deliver better results. AI enables faster hypothesis testing and allows focusing on the most effective options.

    How Ad Studio Works

    Ad Studio is part of Hightouch’s marketing suite launched this year. The tool handles the entire process: from asset generation to platform placement. Hightouch does not handle budgeting or media buying.

    Preserving Brand Voice

    One of the main challenges of AI creative is losing a brand’s unique style and violating content rules. Hightouch addresses this by using the brand’s own content: product catalogs, legal and compliance guidelines, and previous ad campaigns. The platform integrates with Figma and ad channels, allowing assets to be uploaded manually or pulled automatically.

    HelloFresh Brought AI Creative to Times Square: How Ad Studio Works

    Fast Iteration Through Natural Language

    Ad Studio doesn’t create the perfect ad on the first try, but marketers can give commands in natural language: make the text “juicier” or focus on product quality instead of discounts, explains Hightouch co-CEO Tejas Manohar. For HelloFresh, speed of edits is critical: the company aims for “continuous experimentation” and testing.

    People and Robots: Symbiosis, Not Replacement

    Feeney emphasizes that Ad Studio does not replace creative professionals but allows faster creation of more content based on existing ideas and human refinement. The tool requires no coding skills but needs a “talented, creative person” who can explain to AI what is good or bad for the brand.

    HelloFresh Case on Times Square

    For the activation, HelloFresh used past ad campaigns. The ad highlighted the contrast between an expensive restaurant order and the affordability of home-cooked meals. So far, this is the only video created through Ad Studio, but the company plans to continue using the tool.

    HelloFresh Brought AI Creative to Times Square: How Ad Studio Works

    Frequently Asked Questions

    How much does a minute of AI video cost?

    The cost depends on complexity and volume. For mass generation (up to 500 videos per day), the price can be significantly lower than traditional production, especially with a neuro-production subscription.

    Can AI be used for UGC ads in crypto projects?

    Yes. AI avatars with subtitles, AI voiceovers, and script generation are suitable for crypto and e-commerce campaigns. The key is to adhere to ethical deepfake boundaries and brand guidelines.

    Conclusion

    The HelloFresh example shows that AI creative is not just a trend but a working tool for scaling advertising. If your brand faces the need to produce hundreds of videos per week, consider platforms like Ad Studio. Try generating your first test video today—it could change your approach to content production.

  • How to Set KPIs in GEO When You Can’t Guarantee Results

    How to Set KPIs in GEO When You Can’t Guarantee Results

    How to Set KPIs in GEO When You Can’t Guarantee Results

    The world of GEO (Generative Engine Optimization) is changing rapidly, but with opportunities comes uncertainty. How do you measure success if AI algorithms are unpredictable and results cannot be guaranteed? In this article, we will explore how to set realistic KPIs, which metrics to rely on, and what businesses are actually paying for.

    Why Can’t Results Be Guaranteed in GEO?

    GEO is a young channel. Budgets are already being allocated, but the market has not agreed on what constitutes AI visibility or how to measure results. The executor does not control which source the AI system will choose in its next response, when the index or model will be updated.

    This is a common problem: no methodology has yet shown a sustainable long-term effect on organic visibility across different platforms simultaneously.

    Metric, KPI, and Commitment: The Difference

    A metric shows the observed state. For example, a brand appears in 14 out of 40 checked commercial scenarios — a mention rate of 35%. A KPI sets a measurable goal: increase presence from 35% to 50% over six months. The contractor’s commitment defines the result they are willing to be responsible for.

    Guaranteeing achieving 50% is currently dishonest: some factors are beyond control.

    The Problem of a Unified AI Visibility Measurement

    Different services calculate AI visibility differently. Ahrefs in Brand Radar counts mentions, citations, AI Share of Voice, and Estimated Impressions — the last two are modeled. Semrush has its own scale from 0 to 100. Bing Webmaster Tools, since February 2026, shows URL citations but warns: these are not positions.

    Google, since June 2026, opened a generative search report in Search Console, but not for all sites. Even the platform’s own data does not provide control over the result.

    Which Metrics to Use in GEO?

    Mention Rate

    Shows how often a brand appears in AI responses for important scenarios. It is important to break it down by query type: growth in informational questions does not solve the problem of invisibility in commercial ones.

    Citation Rate

    Shows whether the AI uses the company’s website as a source. Context is important: citation in general questions does not mean that in contractor selection queries the AI relies on your site.

    Accuracy and Sentiment

    AI may attribute old prices or non-existent services to a brand. We collect a fact matrix, cross-check it with AI responses, and find the source of the error. Sentiment depends on reviews and external materials — this requires SERM.

    Source Composition

    Shows which sites the AI relies on in a specific scenario. If the site is not cited, but the AI takes data from an old directory with incorrect information, this is an area for work.

    Как ставить KPI в GEO, если нельзя гарантировать результат — illustration 2

    Three Source Contours and Areas of Responsibility

    First Contour: Own Resources

    Website, blog, social media — where the company manages content. We are directly responsible for this contour: we make information accurate and accessible to AI.

    Second Contour: External Managed Sources

    Company profiles, directories, aggregators, partner sites. Fields can be updated, corrections suggested, but the result depends on the second party. Promising timelines here is dishonest.

    Third Contour: Unmanaged Sources

    Reviews, forums, independent reviews. Direct influence is impossible. The task is to find sources, understand their impact, and determine what can be done. It is impossible to remove others’ negativity or guarantee correction of all external mentions.

    How to Evaluate Results Without Guarantees?

    We evaluate a project on three levels:

    • Work completion (whether improvements were made)
    • Visibility metrics (how mentions, citations, and accuracy change)
    • Business impact (AI transitions, brand demand, leads, sales)

    A similar principle is used in the AMEC Integrated Evaluation Framework. The absence of a guarantee of a specific increase does not mean the contractor ignores the result.

    Frequently Asked Questions

    What am I paying for if mention growth is not guaranteed?

    You pay for the execution of work (site improvements, content, external contour) and for monitoring metrics with recommendations. We do not promise numbers we cannot control, but we show dynamics and connection to business indicators.

    What CPM is considered profitable in GEO?

    For GEO, CPM is difficult to calculate directly, as there is no single payment model. But if compared to banner advertising (CPM 50–200 rubles) or influencers (CPM from 300 rubles), GEO can be cheaper with a long-term effect. Test hypotheses with a budget starting from 50,000 rubles.

    What is cheaper: a banner or GEO?

    A banner gives a quick but short-lived result. GEO is long-term but requires time. If you need speed — choose a banner. If you are building sustainable visibility — GEO may be cheaper per contact.

    Conclusion

    GEO is a channel with high uncertainty but also potential. Do not believe promises of “increase visibility by 30% in a month.” Demand clear metrics, breakdowns by scenarios, and reports on completed work.

    Calculate unit economics: how much one AI transition or one lead costs. Test hypotheses cheaply — start with monitoring and improving the first contour. And remember: the main question is how much money each ruble spent will bring.

    Ready to start? Contact us for an audit of your current AI visibility and development of a GEO strategy without empty promises.

  • D+ Research: Brands Expand Marketing Strategies with Content Creators

    D+ Research: Brands Expand Marketing Strategies with Content Creators

    Brands are increasingly engaging influencers not only to boost awareness but also for seasonal campaigns, product launches, and even co-development of products. According to a fresh Digiday+ study based on a survey of 125 professionals from brands and agencies, as well as interviews with marketing directors, marketing with content creators is becoming a key element of growth strategies. In this article, we will explore how companies are moving from one-off promotions to long-term partnerships and what trends are shaping the future of the industry.

    Seasonal campaigns and product launches

    88% of respondents said they collaborate with influencers for seasonal promotions, and 78% for launching new products. For example, in September 2025, Best Buy partnered with the Dude Perfect group for brand exposure during the NFL and holidays. That same month, Albertsons Media Collective, together with agency Linqia, ran a campaign dedicated to the Lunar New Year. The results are impressive: engagement on Instagram was three times higher, and on Facebook four times higher compared to benchmarks.

    Co-development of products

    Some marketers go further, co-developing product lines with creators. Home goods brand Ruggable created a collection with chef and influencer Dan Pelosi after the success of his ShopMy page. Lauren Sherman-Caud, CMO of Ruggable, noted: “ShopMy allowed us to scale our influencer program 20 times. We use this data for deeper collaborations, especially with micro-influencers.”

    Categorization of content creators

    Jeremy Lowenstein, CMO of Milani Cosmetics, divides creators into three groups:

    • Those who shape brand perception.
    • Those who educate consumers (e.g., makeup artists).
    • Affiliate creators focused on sales through livestream shopping.

    This approach helps more accurately select partners for campaign goals and improve influencer marketing effectiveness.

    Creator programs: long-term relationships

    Instead of one-off campaigns, brands are increasingly launching creator programs, offering training, commissions, and early access to promotions. For example, fitness app Strava requires that all partners genuinely use the service. Louise Vee, CMO of Strava, explained: “We work with those who have pro status or are verified. They create content that we use across different channels.”

    YouTube, with over 3 million creators in its partner program, emphasizes the importance of authenticity in marketing. Brian Albert, Managing Director of YouTube, noted: “When brands micromanage the script, the audience senses the ad and leaves. The marketer’s job is to set goals, not dictate words, and trust the creator.”

    In-house influencers

    Some brands use employees as content creators. Ulta Beauty, for example, has a program for both external influencers and its own associates. Kelly Mahoney, CMO of Ulta Beauty, said: “Our employees are already trusted experts; their authentic content deeply resonates with shoppers. And the Ulta Beauty team brings together external creators, helping us stay relevant in cultural and beauty trends.”

    Исследование D+: бренды расширяют стратегии маркетинга с создателями контента — illustration 2

    Milani Cosmetics also engages its own developers for educational content. Lowenstein added: “The influencer world organically and inorganically amplifies the brand’s message. We’ve entered cultural conversations because algorithmically it resonates on platforms.”

    Non-human influencers

    Duolingo uses its mascot—the owl Duo—as an influencer. Manu Orssow, CMO of Duolingo, explained: “We have our own influencer—the owl. Creators want to work with us because they see us not just as a brand, but as a good content creator. This changes the dynamic: we collaborate as two creators, not a brand and a creator.”

    Frequently asked questions

    What types of influencer campaigns are most popular?

    According to the survey, 88% of brands use influencers for seasonal campaigns, 78% for product launches, and many for awareness.

    How do brands select creators for programs?

    Criteria include authentic product use, expertise (e.g., Olympians for Strava), and the ability to create content that can be used across multiple channels.

    Why is authenticity so important in creator marketing?

    YouTube confirms that audiences sense “overproduced” content. Trust in the creator and natural brand integration improve effectiveness.

    Conclusion

    Marketing with content creators is evolving from one-off promotions to long-term programs, including co-development of products and using employees as influencers. Brands should invest in authentic partnerships and trust creators to achieve better engagement and sales. Want to learn how to implement such strategies in your business? Contact us for a consultation.

  • MIPCOM Cannes 2025: Micro-Series and Vertical Content to Become the Main Theme

    MIPCOM Cannes 2025: Micro-Series and Vertical Content to Become the Main Theme

    The organizers of MIPCOM Cannes have announced that in 2025, micro-series and vertical content will receive the status of one of the key directions of the business program. The decision was made against the backdrop of the rapid growth of this segment: according to MIPCOM, vertical storytelling has transformed from an experimental format into one of the fastest-growing sectors of the entertainment industry.

    Why Micro-Series Have Become a Priority for MIPCOM

    According to MIPCOM Director Lucy Smith, the vertical content market is attracting more and more investment, and platforms, producers, and technology companies are moving from experiments to scalable business models. “The focus is shifting to repeatable formats, international licensing, and new revenue sources,” the organizers’ statement notes.

    Key Speakers and Participants

    At MIPCOM Cannes, which will take place from October 12 to 15, 2025, two headliners specializing in vertical storytelling will speak:

    MIPCOM Cannes 2025: Micro-Series and Vertical Content to Become the Main Theme
    • Anthony Zuiker — creator of the CSI: Crime Scene Investigation franchise, recently appointed “Chief Crime Officer” of the Cinemalistics platform, which produces vertical true-crime content using generative AI. Zuiker is also writing a micro-series for GammaTime — a vertical platform founded in 2025 by former Miramax CEO Bill Block, ex-Google Gaming head Slava Mudrykh, and Quibi veteran Alex Montalvo.
    • Anatolii Kasianov — co-founder and co-CEO of the Ukrainian company Holywater, which owns the vertical app My Drama. In October 2024, Holywater received investment from Fox Entertainment with a commitment to release over 200 new micro-series, including 40 shows from moral content creator Dhar Mann.

    The organizers promise to announce additional speakers later.

    New Formats and Platforms for Micro-Series

    MIPCOM is introducing several innovations focused on vertical content:

    MIPCOM Cannes 2025: Micro-Series and Vertical Content to Become the Main Theme
    • Special social spaces for participants interested in micro-series.
    • An updated networking platform with a separate “vertical content” category — it will operate in parallel with existing speed matchmaking sessions for scripted and unscripted content.
    • An invitation-only Global Microdrama & Vertical Leaders’ Summit (details to be announced later).

    Additionally, MIPCOM is partnering with the podcast The Media Odyssey for a special recording dedicated to the era of premium vertical television. The episode will be hosted by Evan Shapiro and Marion Ranchet, with guests including RoseBerry Media co-founders Guy Hamieri and Lior Friedman.

    Organizers’ Opinion

    “What was just emerging trends a year ago — vertical storytelling, the creator business, AI production — today attracts investment, forms scalable models, and becomes an important part of the global content economy. MIPCOM Cannes is designed precisely to bring together established media companies, creators, technology businesses, and investors for new partnerships and commercial opportunities,” said Lucy Smith.

    MIPCOM Cannes 2025 promises to be a key platform for discussing the future of micro-series and vertical content. Participants will not only be able to listen to industry leaders but also establish business contacts in specialized zones. Stay tuned for announcements — the program will be expanded.

    MIPCOM Cannes 2025: Micro-Series and Vertical Content to Become the Main Theme

    Ready to dive into the world of vertical storytelling? Mark the dates on your calendar and follow updates on the official MIPCOM website — exclusive sessions, networking with market leaders, and inspiring case studies await you. Don’t miss the main event of the year for content creators!

  • Nearly a third of American adults watch financial content on YouTube daily

    Nearly a third of American adults watch financial content on YouTube daily

    Nearly a third of American adults watch financial content on YouTube

    Analytical company Precisify has published the report Precisify Insights: Finance 2026, which shows how strongly YouTube influences Americans’ financial decisions. Nearly a third of adult US residents (32%) watch financial content on the platform daily. Another 26% do so two to three times a week, and 16% once a week.

    How Americans use YouTube for financial decisions

    According to a survey of 1,000 people aged 18 to 55, 22% of Americans turn to YouTube specifically for savings and investment advice. TikTok also plays a role: 15% of respondents receive such recommendations there.

    Primary breadwinners in families are especially active in using YouTube for important financial decisions:

    Nearly a third of American adults watch financial content on YouTube daily
    • 35% — before new investments
    • 27% — before applying for a credit card
    • 22% — before opening an account or purchasing insurance
    • 16% — for general financial well-being decisions

    72% of primary breadwinners stated that they use YouTube to compare financial products and services. In fact, by turning to YouTube, people consult with content creators. The platform features well-known figures such as Caleb Hammer with the show Financial Audit, Coffeezilla with exposés of crypto schemes, and Dave Ramsey, who has been giving financial advice for decades.

    Expert opinion on the trend

    Denis Krushell, Commercial Director at Precisify, noted: “YouTube, creators, and apps are becoming central to how people learn about, evaluate, and act on financial decisions. The data shows that trust, education, and consideration are no longer separate stages in the financial journey. Consumers build confidence through content, compare products in a digital environment, and take real actions — from downloading apps to changing habits and opening new accounts.”

    Nearly a third of American adults watch financial content on YouTube daily

    Digital financial behavior extends beyond early adopters

    The study also revealed that digital financial behavior has moved beyond early adopters: 41% of American adults actively use online banks or apps, compared to 47% of traditional bank users. Financial apps such as MoneyLion and Current have been actively sponsoring YouTubers for years, and some creators, like Hammer, have launched their own budgeting apps. MrBeast’s Beast Industries acquired Step, a money management app for young people.

    Travis Witteveen, Head of Product and Portfolio at MoneyLion’s parent company, noted: “Precisify’s findings confirm what we see in consumer finance: people are increasingly discovering, researching, and vetting financial products in a digital environment before moving to a brand’s website or app.”

    Nearly a third of American adults watch financial content on YouTube daily

    Conclusions and recommendations

    Precisify emphasizes that financial brands can no longer view YouTube, creators, and apps as secondary channels — they are becoming key to building trust and driving decisions.

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  • Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    If you hear talk about LimeShorts from TikTok, it’s not about bright green pants. It’s a new app for micro-dramas that the platform is testing in the US since March. Users can watch a few episodes of a vertical series for free, but must pay for access to the full season.

    How Much Do Micro-Dramas Cost?

    A LimeShorts subscription costs $20 per week or $200 per year and unlocks the entire app library. For one-time viewing, individual episodes can be purchased with in-app currency. In the App Store, LimeShorts replaced another ByteDance app — Mytopia, launched in 2021 for web novels.

    Other ByteDance Platforms for Micro-Dramas

    ByteDance has other apps in this genre: PineDrama offers ad-free viewing, and TikTok itself has created a library of micro-dramas in collaboration with famous showrunners, including Issa Rae. These platforms emerged in response to growing demand.

    Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    After a surge of interest in the West in early 2026, the genre continues to grow — stars like Taye Diggs have joined the ranks of micro-drama producers. However, the story of Quibi reminds us that any short format can quickly fizzle out.

    TikTok Searches for the Right Monetization Model

    TikTok is interested in developing micro-dramas and is learning from Vine’s mistakes: the platform is tackling the money issue. For the genre to survive, it must generate revenue. TikTok has simplified brand creation and distribution of vertical series. The LimeShorts subscription could become a stable income source for creators, but the final model has not yet been finalized. According to Business Insider, TikTok is testing different pricing schemes.

    Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    Frequently Asked Questions

    What is LimeShorts?

    It’s a TikTok app for paid viewing of micro-dramas — short vertical series.

    How much does a LimeShorts subscription cost?

    per week or 0 per year for full access to the library. Individual episodes can also be purchased.

    Micro-Dramas on TikTok: LimeShorts Tests Paid Model in the US

    Is LimeShorts available in Russia?

    The app is currently being tested only in the US; the global launch date is unknown.

    Conclusion

    Micro-dramas are a promising but risky format. TikTok clearly wants to turn them into a cash cow, not another Quibi. If you are promoting mobile apps or crypto projects, take a closer look at advertising in short videos — CPM there can be below 50 rubles, with millions of impressions. Paying influencers is not necessary when there is programmatic placement on hundreds of videos. Test hypotheses for pennies.