Free
$0Free plan available.
Shown.io is an AI-powered ad optimization platform designed to help small businesses and entrepreneurs efficiently create, manage, and scale online advertising campaigns across major channels. It automates ad targeting, copywriting, and creative generation, optimizing ads 24/7 to improve ROI. Shown.io supports integrations with platforms like Shopify, Wix, and WordPress, allowing users to import relevant assets and manage budgets from one place.
Users can create a free account, connect their existing ad accounts or utilize Shown's ad accounts, and launch campaigns across major channels. The AI automatically optimizes these campaigns by pausing underperforming keywords, generating new ads for A/B testing, and suggesting new targeting options. Users can track performance through a centralized dashboard.
Shown.io supports Google Ads, Facebook Ads, Instagram Ads, Microsoft Ads, YouTube Ads, X Ads, LinkedIn Ads, and TikTok Ads.
Shown.io integrates with Shopify, Wix, WordPress, Squarespace, and Mailchimp.
Shown.io uses AI to optimize campaigns by pausing keywords, creating new ads for A/B testing, and suggesting new targeting options.
There is a 20% commission on the ad budget when using Shown Ad Accounts. Using your own ad accounts incurs 0% commission.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Shown.io.
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Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.
Compare Gemini 1.0 Pro Vision Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.