Rightlander, a provider of compliance and monitoring technology has launched “Trackback”, a robust new technology designed to help brands and operators identify and analyse the true sources of their incoming web traffic. By embedding a lightweight code snippet on a brand’s website, the platform captures incoming clicks and attributes them to their sources, whether disclosed or undisclosed. Trackback gives brands clear visibility into disclosed and undisclosed traffic sources by comparing ‘known’ domains and profiles with those independently identified by the platform. The owner of each source is identified, helping teams understand partner behaviour and uncover unexpected referral paths. The dashboard is designed for efficiency. Every element is interactive, allowing users to move seamlessly from high-level overviews to specific domain or affiliate insights. The platform tracks daily click activity in real time, enabling users to spot spikes, identify trends, and investigate anomalies quickly. Interactive reports allow detailed analysis of affiliate performance, traffic volume, and regional patterns, supporting better decision-making. Discovered domains are clearly marked alongside declared ones, making it easy to identify potential compliance gaps. Insights deepen over time, with baseline data available from day one, trend recognition from day 28, and full comparative reporting by day 60. Users can filter traffic by geography to assess country-specific behaviour or isolate emerging risks. A separate social media module adds further context by highlighting brand mentions and follower activity.
Rewards Bunny’s partnership with decentralized learning network AIDEN to allow users to earn rewards through both e-commerce and blockchain platforms via AI-based intitutive assistant
Rewards Bunny has partnered with AIDEN to make blockchain technology more accessible and engaging for everyday users. The partnership aims to enhance user experiences by combining blockchain rewards with artificial intelligence. AIDEN, a decentralized learning network, is designed to streamline interactions with blockchain data. Rewards Bunny operates as a Web3-based rewards platform, allowing users to earn cashback for various activities. The alliance aims to bridge the knowledge divide in blockchain by providing an intuitive assistant like AIDEN. AIDEN’s AI-driven design allows it to assist users in both traditional online shopping and Web3-based engagements, catering to both mainstream and crypto-savvy audiences. This dual utility opens up opportunities for users to earn rewards through both e-commerce and decentralized platforms.
Strategic focus on mobile-first engagement drives 127.8% YoY growth in Threads daily active users (DAU) on mobile to 115.1 million vs a decline of 15.2% YoY for X with 132 million DAU
While X remains dominant in web traffic and overall reach, Threads is poised to become a formidable force in mobile social networking, driven by aggressive growth and Meta’s strategic focus on mobile-first engagement. Meanwhile, Bluesky’s rapid growth and innovative approach position it as a potential disruptor, even as it remains smaller in scale. The evolving market suggests a future where user preference, platform focus, and technological innovation will continue to reshape the social media landscape. Key statistics 2025: Threads (Meta): 115.1 million daily active users (DAU) on iOS and Android; 127.8% year-over-year growth. X: 132 million DAU on mobile; experienced a decline of 15.2% year-over-year. Bluesky: 4.1 million DAU globally, representing explosive 372.5% year-over-year growth. Bluesky has surpassed 37 million registered users worldwide. Web platform engagement: X: 145.8 million average daily web visits worldwide in June 2025; Threads: 6.9 million daily web visits globally; Bluesky: 5.3 million average daily web visits worldwide. This data suggests that while Threads is heavily mobile-focused (deliberately so, as its mobile app preceded its web platform), X maintains a dominant position in web-based engagement. Web Visits (June 2025): Bluesky: 2.4 million average daily U.S. web visits; Threads: 985,200 daily U.S. web visits; X: 33.1 million daily U.S. web visits. Mobile App Users: Threads: 15.3 million U.S. DAU on iOS and Android; X: 22.9 million U.S. DAU on mobile; Bluesky: 1.1 million U.S. mobile DAU. Threads’ meteoric year-over-year growth (127.8%) on mobile far outpaces the competition and signals a shifting dynamic in the social media landscape. Despite X’s overall larger user base, its declining growth and Threads’ rapid ascent suggest a potential overtaking in the near future, especially as Threads continues to prioritize its mobile experience. From a monetization perspective, Threads’ increasing user base heightens its potential to capture more advertising dollars, challenging X’s longstanding dominance in social media ad spend.
Adobe predicts amount of traffic to all U.S. retailers coming from gen AI chat services and browsers to leap 3,200% year over year during Amazon’s Prime Day
Adobe said that during Amazon’s Prime Day sales event that runs from Tuesday (July 8) through Friday (July 11), it expects the amount of traffic to all U.S. retailers that comes from generative artificial intelligence (AI) chat services and browsers to leap 3,200% year over year. “And while AI-driven traffic remains modest compared to other channels such as paid search or email, the growth shows the value consumers are seeing in leveraging AI to quickly find information on deals and product details,” Vivek Pandya, director, Adobe Digital Insights at Adobe, said. Adobe saw the first material surge in this kind of traffic to U.S. retail sites during the holiday shopping season, from Nov. 1 through Dec. 31, 2024, when generative AI traffic saw a year-over-year increase of 1,300%. The company found that 92% of U.S. consumers said generative AI enhanced their shopping experience as they used the technology for shopping tasks like conducting research, receiving product recommendations, seeking deals, getting present ideas, finding unique products and creating shopping lists. Adobe also predicted the during the Prime Day event, U.S. retailers will see online spend increase 28.4% year over year to reach $23.8 billion; shopping on mobile devices hit an all-time high as it drives 52.5% of online sales; and buy now, pay later (BNPL) usage experience a slight uptick as it increases its share of overall online spend from 7.6% last year to 8% this year.
OneText’s “text-to-buy network” lets shoppers complete purchases via text message and improves conversions by 20% to 30% using AI-powered two-way conversations, humans in the loop, secure vault and its own wallet
Startup OneText is building what it calls a “text-to-buy network” that lets shoppers complete purchases via text message. By using SMS, OneText doesn’t require a merchant to replace their website’s existing checkout. While large platforms like Instagram and WhatsApp also have e-commerce features, Fudem believes brands still need direct, ownable relationships with their customers. OneText views itself as a competitor to the SMS marketing companies known for mass, impersonal messaging and spammy links. Instead, it uses a combination of tools — including AI-powered two-way conversations and humans in the loop — to improve conversions by 20% to 30%. Features like cart recovery, post-purchase upsells, and shopper-specific recommendations contribute meaningfully to that performance. Under the hood, OneText runs its own wallet, which integrates with a brand’s existing processor to complete transactions. OneText securely vaults a customer’s payment information after their first purchase. From then on, they can reorder with a single reply. This “card-on-file” setup is what OneText believes makes its text commerce similar to charging items to a room during a hotel stay. To make that work, OneText uses what Fudem calls “consentful” automation. If a brand wants to charge a customer for a reorder, OneText sends a text saying the payment will go through in 24 hours unless the customer cancels. It’s opt-out by default.
Apple is reportedly developing ChatGPT-style AI assistant for customer support that would allow customers to interact through chats by typing in a problem, and getting gen AI-based solutions as a step before contacting a live advisor
Apple appears to be developing an AI-based “Support Assistant” for the Apple Support app. Apple users will interact with Support Assistant through chats. The Apple Support app already has a chat feature that relies on Messages, but it is used for communicating with Apple’s live support agents. Support Assistant would likely allow customers to open the Apple Support app, type in a problem that they’re having, and get Gen AI-based solutions as a step before contacting a live person. Users will have the option to consult with an Apple advisor for help after using the Support Assistant feature. The Support Assistant “uses generative models,” and that it will provide answers “related to certain Apple products and services.” Apple warns that generative models can sometimes provide “incorrect, misleading, incomplete, offensive, or harmful outputs,” and that customers should not rely on information from Support Assistant as a substitute for professional advice. There is a reference to uploading content, which suggests Support Assistant could allow users to upload images, PDFs, or documents related to support requests. Apple also says that it works with partners to provide Support Assistant, so it’s possible that this will be a ChatGPT-powered feature. Apple is already testing a ChatGPT-style generative AI tool called “Ask,” for AppleCare support advisors designed to generate responses to technical questions that advisors receive from customers.
Indico unveils embedded data enrichment agents to supercharge insurance decisioning by transforming unstructured submissions, claims, and policy documents into structured, decision-ready data
Indico Data has expanded its Data Enrichment Agents, enhancing document workflows with deeper, native access to proprietary and third-party datasets. The enrichment capabilities combine Indico’s growing library of proprietary data catalogs with seamless integration to proprietary data and trusted third-party providers. The available data spans commercial, personal, and property domains, and includes enriched details such as business credit and risk scores, crime statistics, driver safety and motor vehicle violations, VIN and registration data, proximity-based risk, co-tenancy exposure, property characteristics, permit activity, and more. The Data Enrichment Agents are now generally available to all Indico platform customers and can be activated across workflows including submission ingestion, underwriting clearance, claims FNOL, and policy servicing. By transforming unstructured submissions, claims, and policy documents into structured, decision-ready data, Indico enables insurers to act faster on high-value opportunities, streamline triage and intake, and improve the consistency and transparency of underwriting and claims decisions. Key benefits of Indico’s Data Enrichment Agents include: Embedded data access; Auto-fill missing data; Flexible provider ecosystem; and Proprietary data at a lower cost.
Survey finds 67% of push payment investment fraud cases stem from social media platforms, which account for 71% of all investment fraud losses at an average loss of £3,706 per case
TSB found that 42% of 16–24-year-olds reported having used social media to access financial advice in the past 12 months, followed by 37% of 25-34-year-olds – and this declines to 11% for over 55s. Of those that had seen financial advice on social media platforms, 53% trusted the content – with 25-34-year-olds the most trusting (70%), followed by 62% of 16-24s, and 27% of over 55s. In addition, 83% have seen financial advice content on social media that they weren’t searching for. 51% said they had either acted on advice or planned to do so – with 25-34s the most likely to act or have acted (73%), compared to 27% of over 55s. Alarmingly, 55% of those who acted on advice said they had lost money as a result. TSB found that 90% had seen an investment opportunity on social media, and 43% would consider investing as a result. 25-34-year olds were the most likely to invest (69%), followed by 16-24s (68%) – and just 18% of over 55s. However, 42% said they did not know how to check the credibility or credentials of online content and offers. TSB’s internal customer data shows that 67% of push payment investment fraud cases stem from social media platforms, which account for 71% of all investment fraud losses – at an average loss of £3,706 per case. 36% of these social media cases started on Facebook, followed by TikTok (17%), Telegram (17%), Instagram (14%) and WhatsApp (14%). However, Facebook and WhatsApp accounted for by far the biggest losses at 36%, and 35% respectively. Polling also revealed that 43% felt worse about their finances after seeing posts about wealth on social media. 16-24-year-olds felt the worst (67%), followed by 25-34s (61%) – and this reduced to 22% of over 55s. 53% of 25-34-year-olds felt compelled to take out a product, or invest as a result; followed by 49% of 16-24s. Just 13% of over 55s felt the need to change behaviours and act.
OpenAI implements “information tenting” policies that limit staff access to sensitive algorithms, isolates proprietary technology in offline systems and maintains a “deny-by-default” policy to protect against corporate espionage
OpenAI has reportedly overhauled its security operations to protect against corporate espionage. The company accelerated an existing security clampdown after Chinese startup DeepSeek released a competing model in January, with OpenAI alleging that DeepSeek improperly copied its models using “distillation” techniques. The beefed-up security includes “information tenting” policies that limit staff access to sensitive algorithms and new products. For example, during development of OpenAI’s o1 model, only verified team members who had been read into the project could discuss it in shared office spaces. OpenAI now isolates proprietary technology in offline computer systems, implements biometric access controls for office areas (it scans employees’ fingerprints), and maintains a “deny-by-default” internet policy requiring explicit approval for external connections. The company has increased physical security at data centers and expanded its cybersecurity personnel.
NiCE’s report reveals scams are still the method of choice across 57% of attempted fraud transactions and 67% of all fraud is linked to just 7% of payments made to newly added payees; ATO fraud is showing no sign of disappearing
According to the 2025 NiCE Actimize Fraud Insights Report from 2023 to 2024, fraudsters’ focus shifted back slightly towards Account Takeover (ATO) Fraud from Scams, in terms of the overall value of attempts. Scams are still the method of choice across 57% of attempted fraud transactions; however, ATO fraud is showing no sign of disappearing. From a volume perspective, there was a slight shift towards Scams to 52% in 2024 vs. 50/50 split in 2023. In the U.S., the top fraud challenges vary significantly depending on whether the focus is on value (dollar amount of the transactions) or volume (number of transactions), the report says. The most notable development since last year’s report, concerns international wires. In 2024, the total value of international wire transactions declined 6% year over year, but the value of attempted fraud for international wires surged 40%. Additionally, Zelle transactions saw a 26% increase in value, accompanied by a 34% rise in attempted fraud. The report’s data also revealed that 67% of all fraud is linked to just 7% of payments made to newly added payees—highlighting how fraudsters are exploiting when a new recipient is introduced into the payment flow. The report also highlights that international wire fraud attempts are becoming more targeted and sophisticated, often involving social engineering tactics and mule accounts across borders. The report’s statistics also show that fraudsters are strategically targeting different payment types based on their characteristics—high-value fraud through checks and wires, and high-frequency, lower-value fraud through faster digital channels like Zelle.