Free
$0Free plan available.
AdFlex is an ad intelligence tool that helps users manage campaigns on top ad networks, dominate Facebook Ads, and access an extensive ad library. It provides insights from various networks including Facebook, Native, Google Display, and TikTok, allowing users to discover competitor’s ad campaigns and strategize with valid ad intelligence. AdFlex offers data on millions of ads, covering ad networks, unique ads daily, and countries worldwide.
Users can sign up for AdFlex, search for relevant ads within their niche, and access data across advertising networks such as Facebook, Native, Google Display, and TikTok. They can then uncover details like target audience, region, interests, engagement, impressions, creatives, and headlines to inform their own campaign strategies.
Yes, AdFlex Analytics is free to use indefinitely. You can gain insights into competitor ad campaign data without providing credit card information.
If you are on a Pro plan and exhaust your Ad Views or Ad Detail Views, you can purchase additional credits directly from your dashboard. If your plan's time limit expires, you will need to renew your subscription.
Yes, you can upgrade or downgrade your subscription plan at any time through your dashboard.
We accept various payment methods, including Visa, Mastercard, PayPal, SEPA, wire transfers, and cryptocurrencies.
No, creating an AdFlex account is free and does not require any credit card information.
Yes, if you decide AdFlex is not the right tool for your business, you can cancel your plan at any time via your dashboard.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to AdFlex.
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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.
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