Happy Horizon

The Challenge Libris, a collective of 220+ independent bookstores, wanted to replicate the physical shopping experience online. In-store, customers are triggered by book blurbs and reviews. Digitally, this "spark" was missing in standard dynamic ads. The Strategy & Solution Happy Horizon built an automated AI Persuasion Machine using Vertex AI, Google BigQuery, and Channable. This system automatically enriches product feeds with AI-generated "blurbs" (max 100 characters) and reviews. This context is then pushed to dynamic Meta Ads, mimicking the physical book-buying ritual at scale. Key Results +12% ROAS: Driven by AI-generated descriptions. +23% CTR: Due to the inclusion of social proof (reviews). +18% Add-to-cart-to-purchase ratio: Proving higher-quality traffic. +41% Performance boost: Through automated design testing. Conclusion By combining behavioral psychology with AI automation, Libris successfully translated the "local bookstore" feeling into a scalable, high-converting digital strategy.

The Challenge BLOS Childcare (200+ locations) struggled to fill 100+ structural vacancies. Their manual ad creation process of setting up individual campaigns for every role and location in Google and Meta was slow, inefficient, and unable to scale in a tight labor market. The Solution Happy Horizon automated the entire recruitment funnel: * Dynamic Feed: Created a real-time vacancy feed from AFAS data via Channable and Smartly. * Automated Ads: Used dynamic templates that automatically pull location, job type, and keywords into ads. * Smart Optimization: Implemented shared bidding strategies in Google Ads and automated geo-targeting in Meta. This ensured new vacancies go live instantly with hyper-relevant targeting. Key Results * +35% increase in total applicants. * -12.5% reduction in Cost Per Applicant (CPA). * Zero manual setup: Drastic improvement in workflow efficiency and speed-to-market. Conclusion By replacing manual labor with a data-driven automation engine, BLOS achieved higher recruitment volume at lower costs, despite the competitive job market.

The Challenge Sligro, a hospitality wholesaler, found that BBQ promotions failed during rainy weather. They needed to stop wasting budget on irrelevant days and ensure visibility only when the sun was out. The Solution Happy Horizon used Channable,Smartly and ChatGPT to sync ads with real-time weather data: * Dynamic Creative: Sunny weather triggered BBQ/ice cream ads. Mild weather showed snacks/drinks. Rainy weather paused ads entirely. * Smart Budgeting: Daily spend automatically increased on sunny days to maximize reach across Meta and Google Performance Max. Key Results +167% store visits via Google Performance Max. +3.3% increase in physical store revenue. +277% clicks on Meta with a 73% lower CPC. +71% longer session duration, proving higher ad relevance. Conclusion By linking real-time weather data to their ad funnel, Sligro ensured maximum impact, significantly boosting foot traffic and efficiency while eliminating wasted spend.