Published June 14, 2025 10:00am EDT close Top lawmaker on cybersecurity panel talks threats to US agriculture Senate Armed Services Committee member Mike Rounds, R-S.D., speaks to Fox News Digital NEWYou can now listen to Fox News articles! Your home address might be easier to find online than you think. A quick search of your name could turn up past and current locations, all thanks to people finder sites. These data broker sites quietly collect and publish personal details without your consent, making your privacy vulnerable with just a few clicks.Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you’ll get instant access to my Ultimate Scam Survival Guide — free when you join. A woman searching for herself online. (Kurt "CyberGuy" Knutsson)How your address gets exposed online and who’s using itIf you’ve ever searched for your name and found personal details, like your address, on unfamiliar websites, you’re not alone. People finder platforms collect this information from public records and third-party data brokers, then publish and share it widely. They often link your address to other details such as phone numbers, email addresses and even relatives.11 EASY WAYS TO PROTECT YOUR ONLINE PRIVACY IN 2025While this data may already be public in various places, these sites make it far easier to access and monetize it at scale. In one recent breach, more than 183 million login credentials were exposed through an unsecured database. Many of these records were linked to physical addresses, raising concerns about how multiple sources of personal data can be combined and exploited.Although people finder sites claim to help reconnect friends or locate lost contacts, they also make sensitive personal information available to anyone willing to pay. This includes scammers, spammers and identity thieves who use it for fraud, harassment, and targeted scams. A woman searching for herself online. (Kurt "CyberGuy" Knutsson)How do people search sites get your home address?First, let’s define two sources of information; public and private databases that people search sites use to get your detailed profile, including your home address. They run an automated search on these databases with key information about you and add your home address from the search results. 1. Public sourcesYour home address can appear in:Property deeds: When you buy or sell a home, your name and address become part of the public record.Voter registration: You need to list your address when voting.Court documents: Addresses appear in legal filings or lawsuits.Marriage and divorce records: These often include current or past addresses.Business licenses and professional registrations: If you own a business or hold a license, your address can be listed.WHAT IS ARTIFICIAL INTELLIGENCE (AI)?These records are legal to access, and people finder sites collect and repackage them into detailed personal profiles.2. Private sourcesOther sites buy your data from companies you’ve interacted with:Online purchases: When you buy something online, your address is recorded and can be sold to marketing companies.Subscriptions and memberships: Magazines, clubs and loyalty programs often share your information.Social media platforms: Your location or address details can be gathered indirectly from posts, photos or shared information.Mobile apps and websites: Some apps track your location.People finder sites buy this data from other data brokers and combine it with public records to build complete profiles that include address information. A woman searching for herself online. (Kurt "CyberGuy" Knutsson)What are the risks of having your address on people finder sites?The Federal Trade Commission (FTC) advises people to request the removal of their private data, including home addresses, from people search sites due to the associated risks of stalking, scamming and other crimes.People search sites are a goldmine for cybercriminals looking to target and profile potential victims as well as plan comprehensive cyberattacks. Losses due to targeted phishing attacks increased by 33% in 2024, according to the FBI. So, having your home address publicly accessible can lead to several risks:Stalking and harassment: Criminals can easily find your home address and threaten you.Identity theft: Scammers can use your address and other personal information to impersonate you or fraudulently open accounts.Unwanted contact: Marketers and scammers can use your address to send junk mail or phishing or brushing scams.Increased financial risks: Insurance companies or lenders can use publicly available address information to unfairly decide your rates or eligibility.Burglary and home invasion: Criminals can use your location to target your home when you’re away or vulnerable.How to protect your home addressThe good news is that you can take steps to reduce the risks and keep your address private. However, keep in mind that data brokers and people search sites can re-list your information after some time, so you might need to request data removal periodically.I recommend a few ways to delete your private information, including your home address, from such websites.1. Use personal data removal services: Data brokers can sell your home address and other personal data to multiple businesses and individuals, so the key is to act fast. If you’re looking for an easier way to protect your privacy, a data removal service can do the heavy lifting for you, automatically requesting data removal from brokers and tracking compliance.While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap — and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you. Check out my top picks for data removal services here. Get a free scan to find out if your personal information is already out on the web2. Opt out manually : Use a free scanner provided by a data removal service to check which people search sites that list your address. Then, visit each of these websites and look for an opt-out procedure or form: keywords like "opt out," "delete my information," etc., point the way.Follow each site’s opt-out process carefully, and confirm they’ve removed all your personal info, otherwise, it may get relisted.3. Monitor your digital footprint: I recommend regularly searching online for your name to see if your location is publicly available. If only your social media profile pops up, there’s no need to worry. However, people finder sites tend to relist your private information, including your home address, after some time.4. Limit sharing your address online: Be careful about sharing your home address on social media, online forms and apps. Review privacy settings regularly, and only provide your address when absolutely necessary. Also, adjust your phone settings so that apps don’t track your location.Kurt’s key takeawaysYour home address is more vulnerable than you think. People finder sites aggregate data from public records and private sources to display your address online, often without your knowledge or consent. This can lead to serious privacy and safety risks. Taking proactive steps to protect your home address is essential. Do it manually or use a data removal tool for an easier process. By understanding how your location is collected and taking measures to remove your address from online sites, you can reclaim control over your personal data.CLICK HERE TO GET THE FOX NEWS APPHow do you feel about companies making your home address so easy to find? Let us know by writing us at Cyberguy.com/ContactFor more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/NewsletterAsk Kurt a question or let us know what stories you'd like us to cover.Follow Kurt on his social channels:Answers to the most-asked CyberGuy questions:New from Kurt:Copyright 2025 CyberGuy.com. All rights reserved.   Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Tapjoy studies have shown that mobile gamers prefer rewarded ads to interstitials 4-to-1. It’s a valuable insight for advertisers and developers alike when it comes maximizing ad revenue, but rewarded ads also have the potential to impact other parts of the user experience and your game’s performance overall.To ensure a healthy portfolio, it’s critical that developers understand the additional impact rewarded ads have beyond ad revenue. This includes their effect on metrics like in-app purchase conversion rate, average user spend, 30-day retention, and daily session count. To find out more, we conducted an in-depth analysis of eight different high-DAU apps across iOS and Android for several varying timeframes to find out how users behave when exposed to rewarded ads compared to those who aren’t.Higher IAP conversion ratesWe studied new app users during a one month period and segmented them into two different groups: Those who engaged with at least one rewarded ad and those who never engaged with an ad. We then compared the IAP conversion rates (or percentage of users that made a first time purchase) for each group.On average, users who engage with rewarded ads are 4.5 times more likely to make in-app purchase versus those who do not.7 out of the 8 of apps studied demonstrated higher conversion rates among those who engaged with ads versus those who did not.In the case of two of the apps studies, we found that users who engaged with an ad were over 9 times more likely to make a purchase.Higher average spend per userWe measured the average spend per user in each app for seven days before and seven days after a user’s first rewarded ad engagement.In all 8 apps studied, user spend increased significantly after they engaged with an ad. The average weighted increase in user spend was 326%. Among the apps studied, the boost in average spend per user ranged from just shy of 200% to over 500%.Increased 30-day retentionWe measured the 30-day retention rates of users who engaged with 1-6 rewarded ads during their first week of using an app. Three types of rewarded ad formats were studied (rewarded video, full-screen interstitial, and offerwall placements) and measured against the average 30-day retention benchmark for all apps.Players who complete just one rewarded ad in the first week — whether a video, full-screen interstitial or an offerwall engagement — have a retention rate of at least 50%, compared to the benchmark of 13%.Rewarded video has the most profound effect on retention of any ad type. 30-day retention steadily increases with each video view, ranging from 53% to 68%, which is 3.5-5 times greater than the benchmark.Higher average daily session countWe measured the average number of user sessions per day — both seven days before and seven days after a user’s first rewarded ad engagement — for each high-DAU app.In all cases, users engaged with apps more frequently after completing a rewarded ad.All 8 apps studied demonstrated a lift in the average number of user sessions among those who completed an ad.The average weighted increase in user sessions across all apps was 34%.What does this mean for developers?4 key monetization strategies became abundantly clear following our research:Make rewarded ads easy to find – To increase visibility, consider adding a button to your app’s home screen or storefront, or utilize in-app messaging or push notifications to promote rewarded offers. Tapjoy’s Native-to-Earn, Message-to-Earn, and Push-to-Earn features make it easy for developers to add and manage these additions right from the dashboard.Explore currency sale promotions – Try running limited-time offers in which your players earn more currency than usual for every rewarded ad they complete. These currency sales can drive serious spikes in revenue. With Tapjoy, it’s easy to personalize your currency sale with custom branding and to control the payout ratio.Introduce ads early – Getting users to interact with ads early in their gameplay increases the chance that they will continue to engage with or make a purchase in your app. Rewarded ads introduce players to the mechanics and benefits of your in-app currency, so it’s important to make ads visible and easy to access during the player’s first few sessions.Integrate multiple rewarded formats – Integrating multiple formats — such as rewarded video and offerwall combined — provides developers with the best opportunity to monetize their users and maximize revenue. Diversifying formats not only unlocks higher eCPMs, but it provides players with the freedom to pick and choose the rewarded offer that appeals most to them.

From lifelike avatars to automated fan interactions, AI is remaking digital modeling. But can tech ... More scale intimacy — or will it erode the human spark behind the screen?getty The AI boom has been defined by unprecedented innovation across nearly every sector. From improving flight punctuality through AI-powered scheduling to detecting early markers of Alzheimer’s disease, AI is modifying how we live and work. And the advertising world isn’t left out. In March of this year, OpenAI’s GPT-4o sent the internet into a frenzy with its ability to generate Studio Ghibli-style images. The model produces realistic, emotionally nuanced visuals from a series of prompts — a feat that has led some to predict the demise of visual arts as we know them. While such conclusions may be premature, there’s growing belief among industry players that AI could transform how digital model agencies operate. That belief isn’t limited to one startup. A new class of AI-powered agencies — including FanPro, Lalaland.ai, Deep Agency andThe Diigitals — is testing whether modeling can be automated without losing its creative edge. Some use AI to generate lifelike avatars. Others offer virtual photo studios, CRM — customer relationship management — integrations, or creator monetization tools. Together, they reflect a big shift in how digital modeling agencies think about labor, revenue and scale. FanPro — founded by Tyron Humphris in 2023 to help digital model agencies scale efficiently — offers a striking case study. Fully self-funded, Humphris said in an interview that the company reached $1 million in revenue within its first 90 days and crossed eight figures by 2024, all while maintaining a lean team by automating nearly every process. As Humphris noted, “the companies that will lead this next decade won’t just be the ones with the best marketing or biggest budgets. They’ll be the ones who use AI, automation and systems thinking to scale with precision, all while staying lean and agile.” That explains the big bet that startups like FanPro are making — but how far can it really go? And why should digital model agencies care in the first place? Automation In Digital Model Agencies To understand how automation works in the digital modeling industry — a fast-rising corner of the creator economy — it helps to understand what it’s replacing. A typical digital model agency juggles five or more monetization platforms per creator — from OnlyFans and Fansly to TikTok and Instagram. But behind every viral post is a grind of scheduling, analytics, upselling, customer support and retention. The average agency may need 10 to 15 contractors to manage a roster of just a few high-performing creators. These agencies oversee a complex cycle: content creation, onboarding, audience engagement and sales funnel optimization, usually across several monetization platforms. According to Humphris, there’s often a misconception that running a digital model agency is just about posting pretty pictures. But in reality, he noted, it’s more. “It’s CRM, data science and psychology all wrapped in one. If AI can streamline even half of that, it’s a game-changer.” That claim reflects a growing pain point in the creator economy, where agencies swim in an ocean of tools in an attempt to monetize attention for creators while simultaneously managing marketing, sales and customer support. For context, a 2024 Clevertouch Consulting study revealed that 54% of marketers use more than 50 tools to manage operations — many stitched together with Zapier or manual workarounds. Tyron Humphris, founder of FanProFanPro But, according to Humphris, “no matter how strong your offer is, if you don’t have systems, processes and accountability built into the business, it’s going to collapse under pressure.” And that’s where AI steps in. Beyond handling routine tasks, large language models and automation stacks now allow agencies to scale operations while staying lean. With minimal human input, agencies can schedule posts, auto-respond to DMs, upsell subscriptions, track social analytics and manage retention flows. What once required a full team of marketers, virtual assistants and sales reps can now be executed by a few well-trained AI agents. FanPro claims that over 90% of its operations — from dynamic pricing to fan interactions — are now handled by automation. Likewise, Deep Agency allows creators to generate professional-grade photo shoots without booking a studio or hiring staff and Lalaland.ai helps fashion brands generate AI avatars to reduce production costs and increase diversity in representation. A Necessary Human Touch Still, not everyone is convinced that AI can capture the nuance of digital intimacy. Some experts have raised concerns that hyper automation in creator-driven industries could flatten human expression into predictable engagement patterns, risking long-term user loyalty. A 2024 ContentGrip study of 1,000 consumers found 80% of respondents would likely switch brands that rely heavily on AI-generated emails, citing a loss of authenticity. Nearly half said such messages made them feel “less connected” to the brand. Humphris doesn’t disagree. “AI can do a lot, but it needs to be paired with someone who understands psychology,” he said. “We didn’t scale because we had the best tech. We scaled because we understood human behavior and built systems that respected it.” Humphris’ sentiment isn’t a mere anecdote but one rooted in research. For example, a recent study by Northeastern University showed that AI influencers often reduce brand trust — especially when users aren’t aware the content is AI-generated. The implication is clear: over-automating the wrong parts of human interaction can backfire. Automation doesn’t — and shouldn’t — mean that human input becomes obsolete. Rather, as many industry experts have noted, it will enhance efficiency but not replace empathy. While AI can process data at speed and generate alluring visuals, it cannot replicate human creativity or emotional intelligence. Neither does AI know the psychology of human behavior like humans do, a trait Humphris credits for their almost-instant success. What’s Working — And What’s Not Lalaland.ai and The Diigitals have earned praise for enhancing inclusivity, enabling brands to feature underrepresented body types, skin tones and styles. Meanwhile, FanPro focuses on building AI “growth engines” for agencies — full-stack systems that combine monetization tools, CRM and content flows. But not all reactions have been positive. In November 2024, fashion brand Mango faced backlash for its use of AI-generated models, which critics called “false advertising” and “a threat to real jobs.” The New York Post covered the fallout in detail, highlighting how ethical lines are still being drawn. As brands look to balance cost savings with authenticity, some have begun labeling AI-generated content more clearly — or embedding human oversight into workflows, rather than removing it. Despite offering an automation stack, FanPro itself wasn’t an immediate adopter of automation in its processes. But, as Humphris noted, embracing AI made all the difference for the company. “If we had adopted AI and automation earlier, we would’ve hit 8 figures much faster and with far less stress,” he noted. Automation In The New Era FanPro is a great example of how AI integration, when done the right way, could be a profitable venture for digital model agencies. Whether or not the company’s model becomes the blueprint for AI-first digital agencies, it’s clear that there’s a big shift in the creator economy, where automation isn’t only viewed as a time-saver, but also as a foundational pillar for businesses. As digital model agencies lean further into an AI-centric future, the bigger task is remembering what not to automate — the spark of human connection that built the industry in the first place. “In this new era of automation,” Humphris said, “the smartest agencies won’t just ask what AI can do. They’ll ask what it shouldn’t.”