User-Generated Content Impact

I was curious to understand how much of an impact user generated content (UGC) has on the results and content we see from GenAI platforms. On the one hand, UGC is a treasure trove of real-world insights, opinions, and lived experiences. But on the other, its authenticity and accuracy can be tricky. The risk? People may take this information at face value, much like they often do with search results. That’s when I stumbled upon a recent SEMRush study that analyzed over 150,000 citations from large language models (LLMs). The findings were fascinating: Reddit tops the list, cited in 40.1% of instances. Wikipedia follows at 26.3%. YouTube (23.5%) and even platforms like Yelp (21%), Facebook (20%), and TripAdvisor (12.5%) feature heavily too. This shows how deeply today’s AI tools lean on open, community driven content. While these sources provide a wealth of knowledge, they also raise questions around accuracy, bias, and authority. As SEMRush points out, there are three big risks: 1. Misinformation & rumor propagation 2. Echo-chamber amplification 3. Lack of authority in critical areas like health, finance, or law As both a consumer and marketer, I see a double edged sword here. On one side, the collective intelligence of communities is shaping how AI responds to us. On the other, it highlights the urgent need for stronger checks, balances, and responsible usage. Curious to hear from you, do you see this reliance on UGC by GenAI as a strength (more human, more diverse voices) or a risk (accuracy, authority, bias)? #GenAI #AI #UGC #Marketing #Digital #Insights #FutureOfSearch

Today, GameDiscoverCo is publishing updated research (in association with mod.io) on user-generated content for PC and console games. We looked at all all Steam games featuring an official UGC or mod support solution, whether it’s Steam Workshop, mod.io, CurseForge, or proprietary solutions such as Bethesda Game Studios Creations, Paradox Mods, or Frontier Workshop. (And also console and even VR titles with UGC enabled!) Some notable highlights: -  Controlling for games that made >$1 million in Steam revenue in its first month, we tracked revenue for around 1,200 games, of which close to 20% have an official UGC solution. The result is a 8% revenue advantage for UGC-enabled games in the first year, and a 31% advantage after 5 years. - Our retention numbers, using this same updated set of Steam UGC titles and looking at CCU (concurrents), were also notable. You’ll see Steam games with UGC support displaying 75% better CCU after 2 years of being live, a gap that widens to a 115% difference after 5 years. - There’s also a concern among devs that allowing (free) UGC might cannibalize existing paid DLC for games. We can’t canonically prove or disprove that, but we did look at total per-DLC revenue for titles with UGC, and found it 105% bigger. - We discovered that after one year, games with mods available on console (generally via porting of PC-created mods, of course) did show a 16% player advantage (PlayStation) and 24% player advantage (Xbox). Also: VR games with UGC support had 30% more growth (as a median) over the past year than those without. Of course, there’s some potential correlation-causation issues here - games that allow UGC may be of a genre that naturally has a better ‘long tail’, for example. But them's the results, and we're happy to put them out there! More info in our latest newsletter: https://lnkd.in/gdqBHYax

A simple test just added $52,723 in projected monthly revenue for a supplement brand. The change? Replacing a low-engagement video section with symptom-organized text reviews. 𝐁𝐞𝐟𝐨𝐫𝐞: Mid-page UGC video block showing customers talking about the product 𝐀𝐟𝐭𝐞𝐫: Curated text reviews organized by symptom tabs (sleep issues, energy, focus, etc.) Results after full statistical significance: • Conversion Rate: +2.74% • Average Order Value: +3.09% • Revenue Per Visitor: +5.92% • Profit Per Visitor: +5.87% Projected impact: $52,723 in new monthly revenue, $47,754 in monthly profit. Here's why this worked. The video testimonials looked great but analytics showed drop-off when users hit that section. People weren't engaging with the videos. They were scrolling past them. We replaced the video block with text reviews grouped by symptom. Now when someone with sleep issues lands on the page, they immediately see results from people with the same problem. Someone struggling with energy sees energy testimonials front and center. The psychology shift is massive: from scrolling past generic video testimonials to finding targeted validation in seconds. No hunting through content hoping to find someone like them. The proof they need appears instantly based on their specific motivation for being there. And the numbers prove it. Both conversion rate AND average order value increased simultaneously. That's rare. Most conversion optimizations improve one at the expense of the other. This lifted both because it increased purchase confidence across the board. New users saw the strongest impact, which makes sense. They need more validation than returning customers. We've already deployed this winner via Intelligems and are rolling it across all product pages. The lesson here is MATCH your social proof format to how users actually consume content on your PDPs. Videos might look premium, but if people scroll past them, they're converting zero visitors. Text reviews organized by symptom get read because they deliver relevant validation instantly.

I've taken brands from $30k/mo to $750k/mo solely with user-generated content. Here’s why I prioritize UGC for any brand I work with: 1. Social Proof When real customers share their experiences with your product, it’s far more convincing than any polished ad. I’ve seen firsthand how UGC can build trust, especially when potential buyers are on the fence. It’s raw, authentic, and more relatable. 2. Authenticity People today crave authenticity. There’s only so much curated content they can consume before it starts feeling disconnected. That’s why UGC is so effective. It’s genuine, and it captures the real-world impact of your product in ways you can’t replicate in a studio. 3. Cost-Effective Content I’ve worked with brands who struggle to keep up with the demand for new content. UGC solves that problem by providing a steady stream of fresh material. Not only does it keep your feed active, but it’s also more affordable than creating original content. 4. Engagement Booster Whenever I’ve incorporated UGC into a campaign, engagement rates shoot up. People love seeing content from people like them, and they’re more likely to interact with it. If you can use it to create a sense of community, even better. 5. Diverse Perspectives One of the best things about UGC is the diversity it brings. Every customer has a unique way of using your product, and showcasing that range allows others to see how it can fit into their lives. Incorporating UGC into your strategy isn’t only about leveraging your customers’ voices—it’s about creating a dialogue. It turns your audience into active participants in your brand’s story.

NEWS 21/10/25: Department of Homeland Security obtains first-known warrant targeting OpenAI for user prompts in ChatGPT According to a recent article by Forbes, the U.S. Department of Homeland Security (DHS) has secured a federal search warrant ordering OpenAI to identify a user of ChatGPT and to produce the user’s prompts, as part of a child-exploitation investigation. https://lnkd.in/eatmK3zv? Key details: - The warrant was filed by child-exploitation investigators within DHS. - It specifically targets “two prompts” submitted to ChatGPT by an anonymous user. The warrant asks OpenAI for the user’s identifying information and associated prompt history. - This is described as the first known federal search warrant compelling ChatGPT prompt-level data from OpenAI. What this means for privacy: -Prompts are treated as evidence. What users have assumed to be ephemeral or private entries in a chat session with an AI service may now be subject to law-enforcement production. -Scope of data retention and access must be reconsidered. If prompt history can be identified and requested, both users and providers should evaluate how long prompts are stored, under what identifiers, and how anonymised they truly are. - Implications for user trust and provider responsibility. AI companies may face growing legal obligations to disclose user-generated content and metadata, which may affect how the services present themselves (privacy guarantees, terms of service) and how users engage with them. - International context and legal cross-overs. For users in jurisdictions with strong data-protection regimes (for example, the General Data Protection Regulation in the UK/EU), the fact that prompt-data can be subject to U.S. warrant may raise questions about extraterritorial access and data flow compliance. In short: this isn’t just another law-enforcement request. It marks the first time a generative-AI provider has been legally compelled to unmask a user and disclose their prompt history. ============ ↳I track how stories like this shape the ethics and governance of AI. You can find deeper analysis at discarded.ai. #AISafety #AIRegulation #Privacy #Governance #Ethics Image AI Generated

The Role of Reviews and UGC in Sexual Wellness Purchasing Decisions In most industries, reviews influence decisions. In sexual wellness, they define them. This category carries higher hesitation, higher sensitivity, and higher perceived risk. Which means trust is everything. And trust is rarely built through brand messaging alone. It is built through other people. User generated content, reviews, and shared experiences act as validation layers that reduce uncertainty. They answer questions consumers may not openly ask: Is this actually effective Is it comfortable to use Does it match expectations Is it worth the price This type of social proof shortens the decision cycle. Instead of relying on assumptions, users rely on real experiences. And that directly impacts conversion. But not all reviews carry the same weight. High impact UGC tends to be: Specific rather than vague Balanced rather than overly promotional Relatable rather than overly polished Authenticity outperforms perfection. There is also a platform shift happening. Consumers are increasingly validating products across multiple channels. On site reviews Social media discussions Creator content Community driven platforms This creates a distributed trust system. Brands no longer control the narrative. They participate in it. Which means consistency matters. Product quality must align with expectations. Customer experience must support positive feedback. Transparency must be maintained at every stage. At V For Vibes, this is a key focus. Building an experience that naturally generates trust through real user feedback, not just positioning. Because in a category where hesitation is high, the voice of the customer is often the strongest driver of growth. #SexTech #Ecommerce #UGC #ConsumerBehavior #DigitalRetail #Innovation

Ever wondered if we could consumer perceptions, attitudes, and intentions without running endless surveys? In our latest article, published in Schmalenbach Journal of Business Research, Raoul Kübler, Susanne Adler, Lina Welke, Prof. dr. Koen Pauwels, and I discuss how user-generated content (UGC) - things like reviews, posts, search logs, and even podcasts - can help approximate key consumer mindset metrics (like awareness, consideration, satisfaction, or recommendation). We propose a four-step process, which comes with concrete recommendations for various tools to put each step into action: 1️⃣ Identify what aspect of the mindset you want to capture 2️⃣ Find the right UGC source 3️⃣ Extract the information with the right tools 4️⃣ Validate that the results actually predict relevant outcomes It’s not about replacing surveys entirely, but more about combining the “old” and “new” to get faster, richer insights into consumer perceptions, attitudes, and intentions. Check out the full article (open access) here: https://lnkd.in/da-BK3qR LMU Munich School of Management Institut für Marketing - LMU München

Just as it seemed to be exploding, influencer marketing may soon be on the decline. To a certain extent, it’s already happening. Brands have poured massive budgets into influencer partnerships, but the returns aren’t as strong as they once were. For one, engagement rates are dropping. Younger audiences are skeptical of branded content, and as the market becomes oversaturated, it’s harder to make an impact. Rising costs and declining trust make it difficult to justify the spend. But brands aren’t abandoning social influence altogether. Instead, they’re shifting toward more sustainable strategies—leveraging micro-influencers, KOLs (a big thing in China), and community-driven content. That could mean: - Allowing fans and super users to be brand ambassadors, which offers authenticity and a sense of relatability that resonates with customers. Ikea does a great job with this. Their Ambassador Club network of patrons has shared over 9,000 pieces of content, leading to 5% increase in sales. - Throwing employees into the mix. Team members offer the same realism, and have the advantage of knowing your target market. Perfect example: last year, the owner of a cafe in Illinois created a TikTok campaign pitching drivers on the restaurant’s pancakes. Her videos went on to accrue over 10.5 million views, and sales increased by 50%. - Repurposing material for targeted campaigns. Ads based on user-generated content get 4x higher click-through rates than regular ads, and campaigns that include UGC see 29% higher web conversions. Original, everyday voices can drive just as much—if not more—engagement as traditional influencers and reduce the drain on your budget. And they’re often easier to work with 🤣

Product #photos, descriptions, and customer #reviews carry a meaningful signal about which products consumers treat as substitutes. Importantly, these signals improve demand estimation in meaningful ways. This means more accurately identifying which products consumers actually switch between when one becomes unavailable or raises its price — getting this wrong means misjudging who your closest competitors are, which has direct consequences for pricing strategy, assortment decisions, and antitrust analysis that relies on substitution patterns to define relevant markets. To illustrate, the figure below decomposes which type of unstructured data is most informative (beyond price) for assessing substitution patterns across 20 product categories. For #mattresses, user reviews dominate: lived experience reveals which products truly compete on comfort and durability. For #activewear and #sleepwear, product images do the work. For #tablets and keyboards, firm-generated descriptions with technical specs matter most. For paper towels and dog treats, the product title alone encodes a lot of what’s relevant. Both user-generated and firm-generated content carry information about how consumers consider product substitutability, but their relative importance is category-specific and hard to predict a priori. These results come from newly accepted paper by Giovanni Compiani, Ilya Morozov, and Stephan Seiler (forthcoming, The RAND Journal of Economics) linked in the first comment.

Content loops happen when user-generated or algorithmically created content keeps attracting new users — creating a flywheel. Let’s look at a few examples from communities, platforms, and marketplaces 👇 New content brings visitors. Some visitors create more content. And the cycle repeats. Reddit, Inc. – A classic user-generated content loop. Users submit posts, links, and comments across thousands of subreddits. That constant stream of new content draws in readers (often via search or shares), and many of those lurkers eventually join in. Every post can attract more users, who then contribute again. That loop of users → content → visibility → new users is what’s kept Reddit growing for nearly two decades. Stack Overflow – A Q&A loop built on expertise. Developers find answers via Google, then come back to ask or answer new questions. Each solved thread gets indexed, pulling in more programmers searching for help. The cycle — questions → answers → search visibility → more questions — turned Stack Overflow into a self-sustaining knowledge engine. Tripadvisor – A hybrid loop of content + SEO. Tripadvisor turned its database of hotels, restaurants, and attractions into SEO-optimized pages. Those pages drew travelers via Google. Visitors left reviews, improving content and rankings — which brought in even more travelers. Data begets content, which begets more data — a compounding engine of reviews and traffic. Substack – A community-driven content loop. Writers publish newsletters that attract readers. Some readers become writers themselves or bring their own audiences. Each successful creator indirectly recruits others — both readers and authors — keeping the flywheel spinning. Here, content itself becomes the acquisition channel. And beyond that — YouTube, Pinterest, Zillow, Expedia — all run on variations of the same loop. Users create value that attracts more users, which produces even more content and data. The key isn’t just creating content. It’s building systems where every piece of content fuels the next. That’s how you turn attention into momentum — and momentum into growth.