AdSpy vs Minea in 2026: deep Meta offer research vs ecommerce product discovery

AdSpy is made for a research problem that lives inside Meta. The company describes more than 213 million ads across 225 countries, 88 languages, and more than 30 million advertisers. A user can search visible ad text, advertiser names, URLs, reactions, media type, last-seen activity, and long-running ads. The coverage figures are vendor-published, so they are useful context for its discovery role rather than a guarantee that every campaign or market can be found. The tool does not try to manage an advertiser’s account, source a product, or calculate a competitor’s return on spend.

Its specialism appears in the filters around an ad. AdSpy says a researcher can search words in public comments, narrow by location, gender, and age-range signals, and investigate affiliate network, affiliate ID, and Offer ID fields. It also lists landing-page technology filters and cloaker bypassing. For an affiliate marketer, that can turn a vague product lead into a concrete investigation of how an offer is framed, who appears to promote it, what creative angle is repeated, and where the visible ad sends traffic. It remains research evidence, not a finding that the offer should be copied or that it will work for another audience.

The commercial model is one $149-per-month subscription with virtually unlimited use published on the homepage and a 24-hour refund policy. That is defensible when those Meta-specific filters eliminate meaningful manual work. The reviewed profile does not establish public shop tracking, supplier discovery, product listings, AI-analysis quotas, team controls, API access, or integrations. A dropshipper whose main job is validating a product chain will have to take AdSpy’s insight elsewhere; a Meta specialist may prefer its sharper lens over a wider ecommerce workspace.

Minea is the better match when an ad is only the first clue. Its workflow joins ecommerce ad discovery with product, shop, and supplier research, so a user can move from a Meta, TikTok, or Pinterest ad to the item, retailer, and possible source behind it. Searches can use a competitor brand, product, keyword, or niche and then narrow with platform and engagement inputs. Minea describes activity, creative variations, duration, spend signals, and estimated budgets, but it does not represent those as advertiser-verified revenue, profit, or return on ad spend.

The product and shop layer is its practical difference from an ad archive. Minea lists product and shop research, brand tracking, notifications, daily niche lists, and an AliExpress supplier finder that supports reverse image search from a product image. Premium allows tracking for 10 shops with unlimited notifications, while Business lists unlimited tracking. That is useful to a dropshipping operator who needs a recurring research queue. It is less useful to a B2B advertiser or a brand strategist whose work ends at creative and message analysis, because Minea is explicitly designed around ecommerce product discovery.

Minea has three published plans. Starter costs $49 per month, Premium costs $99, and Business costs $199, with lower quarterly prices listed. Starter includes 10 monthly AI ad analyses and transcripts plus 50 Magic Searches; Premium raises those allowances to 50, 50, and 100; Business lists unlimited use. The quotas make Premium the more realistic recurring-research tier, while Business only makes sense when unlimited shop tracking and AI work are actually used. The public pricing does not establish seats, exports, API access, or a formal team workflow.