Summary
Facebook Shops is a free, mobile-first shopping experience allowing businesses to create online stores on Facebook and Instagram. Merchants can feature products, create collections, and customize storefronts with fonts and colors. Customers can connect via WhatsApp, Messenger, or Instagram Direct for support.
Partnerships with platforms like Shopify, BigCommerce, and WooCommerce help small businesses build and grow their shops. Future features include Instagram Shop, live shopping, and loyalty programs to enhance discovery and shopping.
You Might Also Like
MetaFree Insights, AI Tools, and a Playbook to Help You Grow
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
MetaGood Questions, Real Answers: How Does Facebook Use Machine Learning to Deliver Ads?
Facebook shows ads based on audience targeting and ad auction. Machine learning predicts action rates and ad quality to calculate total value, ensuring relevant ads for users.
AppsFlyer2 common web-to-app use cases for People-Based Attribution
Web remains vital for discovery and research, while native apps boost conversion rates. Marketers should use people-based attribution to connect web-to-app journeys, offering seamless experiences across platforms.
MetaMeta for Business
Facebook Audience Insights helps marketers learn about target audiences with aggregate data on demographics, interests, location, and purchase behavior, ensuring privacy.
AdjustHow mobile app marketers should approach CTV | Adjust
CTV has become performance-ready for app marketers. Recent acquisitions (Fox/Roku, Walmart/Vibe) signal a shift to self-serve, measurable channels. Marketers can reuse existing UA creative instead of producing TV ads. QR codes drive direct response, but halo effects often matter more. Start with small, additive test budgets and measure assists/incrementality to understand true impact. CTV offers a way to find incremental users and diversify beyond paid social.
MetaNew Meta AI Features for Small Businesses
Meta AI introduces new features to help small businesses optimize ad campaigns and content. It integrates with Instagram/Facebook analytics, Meta Ads, and Google Workspace to provide insights, audit and benchmark campaigns, and auto-generate reports and decks. Available across web, mobile, desktop, and Mac apps, it includes screen sharing and dictation. Ad ops teams can leverage AI-driven recommendations for organic and paid content, recurring tasks, and competitive benchmarking, streamlining decision-making and growth.
TikTokTikTok Advertising Blog: Find Product Updates, Insights & Tips
TikTok is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
MolocoInside Moloco's CARA: the AI that compounds
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
More from Meta
Performance Spotlight: How Instant Hydration Built a System for AI to Scale
Instant Hydration scaled Meta spend in under 18 months by letting creative variety, not manual targeting, drive audience...
How Businesses Are Driving Results with Meta's AI-Powered Ads
Meta's AI-powered advertising tools are proving effective across verticals, delivering significant performance gains whi...
Small to Scale: How Sydney Sock Project Scaled a Cause
Sydney Sock Project demonstrates how purpose-driven brands can scale profitably by embedding charitable donations into p...
Game Changers: Why the fastest-growing audience in sports lives across Meta technologies
Women's sports is a $3B opportunity growing 4.5x faster than men's, with a social-first, always-on fanbase on Meta. For ...
New Meta AI Features for Small Businesses
Meta AI introduces new features to help small businesses optimize ad campaigns and content. It integrates with Instagram...
Holiday measurement strategies
Ad ops decision-makers need proof that ad spend drives sales that wouldn't have happened organically. Conversion Lift st...