Algebrik AI announced a strategic partnership with Kinective, to integrate Algebrik AI’s intelligent loan origination system with Kinective’s Gateway™ platform providing credit unions and community lenders seamless, real-time connectivity between their LOS, core systems, and e-signature workflows.Algebrik AI and Kinective partner to unify loan origination, and e-signatures. “Our partnership with Kinective eliminates one of the biggest sources of operational drag—manual workflows and broken integrations,” said Pankaj Jain, Founder and CEO of Algebrik AI. With Kinective’s Gateway™ embedded into Algebrik’s platform: Everything Happens in One Place – Loan officers can initiate, track, and complete document signing within the Algebrik interface—no toggling between systems or manual syncs. Blended E-Signatures, Built In – With Kinective Sign, borrowers can complete signatures remotely via email or embedded interfaces, or in-person using supported tablets and signature pads. The same workflow can flexibly accommodate both channels—ideal for use cases like joint applications, branch-assisted onboarding, or co-signer journeys. Compliance-Ready by Design – Every signed document and system update is captured, logged, and audit-ready within Algebrik’s compliance-first architecture. Faster Closings, Happier Borrowers – By automating every touchpoint—from application to final signature—Algebrik reduces operational bottlenecks and delivers a smooth, guided borrowing journey.
Productsup’s Google Comparison Shopping Service (CSS) add-on dynamically adjusts shopping ad URLs based on the shopper’s search query; users are routed to merchant-branded landing pages tailored to their intent
Productsup, a enterprise feed management and syndication company, has launched its new Google Comparison Shopping Service (CSS) add-on, a strategic extension that empowers brands, retailers, and agencies to reduce ad spend and boost performance for Google Shopping campaigns. Fully integrated into the Productsup platform, the add-on enables businesses to manage campaigns, optimize product content, and drive more qualified traffic from a single, centralized solution. By becoming an official Google CSS partner, Productsup allows advertisers to bypass Google’s default CSS margin, cutting cost per click (CPC) by up to 20%. The immediate cost savings allow teams to reinvest freed-up budget into smarter, more competitive bidding strategies. Productsup’s highlight feature, Keyword CSS, dynamically adjusts shopping ad URLs based on the shopper’s search query. Users are routed to merchant-branded landing pages tailored to their intent, resulting in a more relevant experience, fewer distractions from competitor products, and significantly higher conversion rates. Johannis Hatt, CEO at Productsup. Said “Leveraging our platform’s strong content optimization features as a Google CSS partner, we help brands strengthen their product experiences to improve the quality of their traffic and conversions on the channel. And, we do so with less operational overhead.”
Rightlander helps brands and operators identify and analyse the true sources of their incoming web traffic providing clear visibility into disclosed and undisclosed traffic sources by comparing ‘known’ domains and profiles with those independently identified by the platform
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.
Falkon SMS’s integration with Hubspot allows sales and marketing teams to send and receive text messages directly from within their CRM accounts and manage conversations in real time through seamless and instant synching of contacts
Falkon SMS, has officially launched its HubSpot SMS integration, allowing sales, marketing, and support teams to send and receive text messages directly from within their HubSpot CRM accounts. The new integration offers seamless contact sync, message automation, and more—designed to accelerate customer engagement and streamline operations. This integration empowers teams to communicate faster, stay organized, and manage conversations in real time without switching tabs or juggling external SMS tools. Key Features of Falkon SMS for HubSpot: Instant Contact Sync HubSpot contacts automatically sync to Falkon SMS—no manual imports, ever; Send & Receive Texts in HubSpot; Chat with leads and customers directly within your CRM timeline; Scheduled Texting Plan texts ahead of time—ideal for appointment reminders, campaign launches, or follow-ups; Group Messaging & Broadcasts: Start group chats for collaboration or send mass updates with ease; Automated Replies & Keyword Triggers; Set up smart auto-responses to handle common queries efficiently; Analytics & Performance Insights: Track message delivery, engagement, and campaign success in one place.
84% of consumers now trust in the quality of private labels more or the same as national brands and 47% saying they’ve tried a private label product specifically because it was a dupe of a name-brand item
First Insight study reveals that 71% of consumers surveyed believed they could recognize a private label when making a purchase, yet 72% were unable to do so when shown side-by-side images of store brand and national brand products. 84% of consumers now trust in the quality of store-brand products more or the same as national brands, while 52% say they’ve been influenced to try a store-brand product by in-store promotions, packaging, displays or marketing materials. Among the findings: The stigma once associated with private labels have largely disappeared. Seventy-seven (77%) of consumers aren’t concerned with how they’re perceived for purchasing private label products. Today’s shoppers love finding “the dupe.” Smart imitation has become a badge of savvy shopping, with 47% of consumers saying they’ve tried a private label product specifically because it was a dupe of a name-brand item. 44% of consumers—and 70% of those earning more than $150k per year—saying they’re more likely to try a private label if it’s marketed as a dupe of a high-end product. Consumers are willing to break from their normal brands to try new products. While 48% of consumers still identify as brand loyal, more than half say they’re either brand curious (32%) or motivated by price and savings (20%). Brand loyalty is no longer a guarantee. Consumers today no longer worship national brands; they chase value, quality and availability. 71% consumers say they would be willing to try a private label if their preferred national brand was out of stock. And once a consumer makes the switch and feels satisfied, they rarely go back, with 45% saying they’ve permanently switched from a national brand to a private label when the product met or exceeded expectations. The perception of store brands varies by income level. While the stigma around private label is fading overall, more affluent shoppers still feel image-conscious. 44% of consumers making $150k+ per year say they’re concerned about how they’re perceived when buying private label products. This is a significant increase compared to 27% of those earning $51K–$149K and 17% of those earning $50K or less. Essentials are the entry points for private label trial. Grocery (56%), household cleaning supplies (38%), clothing and apparel (34%), and personal care and beauty (33%) are the most commonly purchased private label categories. Private label is driving brand advocacy—and store traffic: 66% of consumers say they recommend private label products to friends and family, and 34% say they’re more likely to shop at a retailer specifically because of its private label offerings.