15 Best Ads Spy Tools 2026: Top Choices for Creative Discovery and Campaign Analysis

Competitive advertising research has become a practical part of campaign planning for ecommerce brands, agencies, media buyers, creative strategists, and growth teams. Instead of relying on occasional screenshots or manually checking individual competitors, modern ad intelligence platforms can help marketers discover active creatives, study messaging patterns, analyse landing pages, follow campaign longevity, and understand how other advertisers approach paid acquisition. For marketers comparing the **best ads spy tools 2026 **, the right platform depends largely on whether the priority is creative inspiration, competitor monitoring, ecommerce research, paid search, cross-channel intelligence, or a combination of these needs.

The market now includes everything from specialised Facebook and TikTok databases to broader competitive-intelligence suites covering social, search, native, video, display, and mobile advertising. Some tools concentrate on finding promising creative concepts, while others add spend estimates, keywords, products, publisher information, historical campaign data, creative analytics, or production workflows. The 15 platforms below represent several of the strongest approaches available, beginning with the option that most naturally brings competitive research and creative execution together.

1. GetHookd Is the Best Overall Choice for Ad Intelligence

Turning Competitive Research Into Better Creative Work

GetHookd stands out as the clearest overall choice for marketers who want advertising intelligence to become a useful part of the entire creative process. Its Explore Ads environment provides access to more than 23 million high-performing advertisements across Facebook, TikTok, and Google, giving teams a substantial research library for studying hooks, offers, calls to action, visual approaches, creative formats, and messaging patterns across several of the most important paid-media channels.

The platform becomes particularly valuable when marketers want to investigate specific competitors rather than simply browse attractive advertisements. Brand Spy helps surface competitors' leading ads, landing pages, traffic sources, and related activity, while Save Ads allows useful references to remain available after the original campaigns go offline. Collections can also be organised around clients, products, niches, formats, or concepts, turning casual competitor research into a lasting and searchable intelligence resource.

GetHookd also makes the transition from discovery to execution unusually straightforward. Its wider toolkit includes Ads Transcription, Video Scripts, AI Scripts, AI Image Ads, Creative Analyzer, and Clone Ads. A marketer can consequently discover an interesting campaign, understand the structure of its hook and offer, preserve the reference, and begin developing an original creative direction from the same workspace rather than moving between several disconnected research and production tools.

That connected workflow gives GetHookd broad appeal for ecommerce teams, agencies, performance marketers, media buyers, and creative strategists who conduct competitive research continuously. API and MCP access on applicable plans can also extend its advertising data into wider team workflows. By combining discovery, competitor monitoring, organisation, analysis, and creative development in one environment, GetHookd provides the most complete and natural starting point for marketers looking for an all-around ad intelligence platform.

2. Foreplay Creates a Structured Home for Creative Inspiration

Building Swipe Files and Tracking Competitor Creative

Foreplay approaches advertising intelligence from a strongly creative-first perspective. Its platform combines Discovery, Swipe File, Spyder, Lens, and Briefs, allowing marketers to move from finding advertisements to organising references, monitoring competitors, studying creative performance, and preparing production briefs. Discovery provides access to a large community-curated advertising database, while its search and filtering capabilities make it easier to investigate particular formats, niches, platforms, and creative themes.

The Swipe File component is especially useful for teams that collect advertising inspiration continuously. Ads found through Foreplay, Meta's Ad Library, TikTok, Instagram, and other sources can be stored in folders and boards instead of disappearing into browser bookmarks or messaging threads. Saved material can then be shared with colleagues, designers, creators, and clients, creating a more organised way to use competitor examples during creative planning.

Spyder adds a more deliberate competitor-monitoring layer. It can track advertisements launched by selected brands, preserve historical creative material, highlight creative tests, surface hooks, and provide landing-page insights. This makes Foreplay useful when a team wants to understand how a competitor's creative strategy evolves rather than looking at isolated advertisements without context.

Foreplay therefore suits agencies and creative teams that place considerable value on inspiration management and collaboration. Its workflow extends beyond conventional ad searching into creative analytics and briefing, which can make competitive research easier to incorporate into everyday production. Marketers whose principal need is detailed spend intelligence or paid-search history may use a different type of platform, but Foreplay offers an appealing environment for teams focused on social advertising concepts and creative organisation.

3. SpyFu Brings Exceptional Historical Depth to Paid Search

Following Competitor Google Ads Strategies Over Time

SpyFu occupies a distinctive position because its advertising intelligence is heavily focused on paid search. Its Ad History environment allows marketers to investigate advertisements competitors have run through Google Ads, including historical copy, associated keywords, landing pages, and messaging changes. SpyFu says its advertising history extends across roughly two decades, giving researchers an unusually long view of how established PPC strategies have evolved.

Historical context can be especially useful when deciding which competitor ideas deserve attention. Rather than treating a single live advertisement as evidence of success, marketers can examine which messages or keyword combinations appear repeatedly over time. SpyFu also allows researchers to work in the opposite direction by investigating which keywords trigger particular competitor advertisements, helping connect ad copy with the search intent surrounding it.

The platform expanded its PPC dataset significantly in 2026, increasing the amount of paid-search activity being collected and strengthening tools such as Ad History and PPC Competitors. Its current Ad History capabilities include complete advertising copy, links, landing pages, international information, and live tracking, while API functionality can provide ad-history records within defined date ranges.

SpyFu is consequently a strong choice for PPC managers, search marketers, agencies, and businesses that want competitor advertising research to centre on Google rather than social creative. It approaches ad intelligence differently from visual inspiration libraries, but that specialisation is precisely what makes it valuable. For marketers trying to understand how competitors have tested keywords, offers, headlines, and landing pages over long periods, SpyFu provides a particularly detailed historical perspective.

4. Minea Connects Ad Research With Ecommerce Product Discovery

Studying Creatives, Products, and Competitor Activity Together

Minea is built with ecommerce and product research firmly in mind. Its advertising database covers a large volume of creative material and supports research across major social platforms, including Facebook and TikTok. Marketers can investigate advertisements alongside engagement indicators, creative variations, performance signals, and other information intended to help identify both interesting campaigns and products attracting noticeable advertising activity.

That ecommerce orientation makes Minea useful when creative research and product research are closely connected. A dropshipper or direct-to-consumer brand may want to know not only which hooks competitors are using but also which products are appearing repeatedly, which advertisements have remained active, and how various stores position similar offers. Minea provides a way to examine those signals from within the same broader research process.

Competitor monitoring is another practical part of the platform. Users can follow advertising activity and investigate campaigns across supported channels rather than repeatedly searching for the same brands manually. Filters help narrow a very large advertising database into more manageable groups, making it easier to study relevant products, markets, advertisers, and creative approaches instead of browsing without a clear research objective.

Minea is therefore particularly relevant to ecommerce operators, product researchers, dropshippers, and marketers who want advertising intelligence to contribute to product-selection decisions. Its emphasis differs somewhat from platforms built primarily around agency creative workflows or paid-search intelligence. For teams whose competitor research frequently begins with the question of what products are gaining traction and how those products are being advertised, Minea offers a useful combination of commerce and creative discovery.

5. AdPlexity Offers Detailed Intelligence for Performance Advertising

Researching Native, Mobile, Display, and Other Paid Channels

AdPlexity has long been associated with performance marketing and affiliate advertising. Rather than concentrating exclusively on mainstream social feeds, the platform provides dedicated research products for channels such as native, mobile, desktop, push, and other advertising environments. Its current platform presents more than 100 million advertisements across its wider product range, giving performance marketers substantial material to investigate.

Its native advertising product demonstrates the level of campaign detail available. Researchers can search by keyword, examine competitor ads, investigate publisher sites, filter by affiliate networks, and explore campaigns running across major native networks such as Outbrain, Taboola, and MGID. Trending information can also help identify landing-page domains, offers, outgoing domains, and other patterns gaining visibility in the market.

AdPlexity's mobile intelligence similarly lets users examine campaigns across numerous countries and carriers, with searches that can reveal particular keywords, advertisers, publishers, and affiliate networks. These capabilities make the platform particularly relevant when marketers need to understand the mechanics of performance campaigns rather than simply collect attractive social creatives for inspiration.

The result is a specialised but substantial competitive-intelligence environment. Affiliate marketers, media buyers, arbitrage teams, and advertisers using native or mobile traffic can find considerable value in its channel-specific data. Creative strategists working almost exclusively with conventional Meta campaigns may gravitate towards other platforms, but AdPlexity remains an important option for marketers whose advertising research extends deeper into the broader performance-marketing ecosystem.

6. PiPiADS Provides Extensive TikTok and Social Creative Research

Finding Fast-Moving Ads, Products, Hooks, and Trends

PiPiADS has become closely associated with TikTok advertising research while also expanding its coverage into Facebook and other Meta environments. Its current platform combines an AI-powered ad search system with tools for researching ecommerce, DTC, dropshipping, TikTok Shop, apps, games, short dramas, and other rapidly changing advertising categories. This breadth makes it particularly useful for marketers working in markets where creative trends can change quickly.

The platform goes beyond straightforward keyword searches. Users can investigate advertisements, products, apps, landing pages, advertisers, scripts, hooks, images, and videos, with AI-assisted categorisation intended to make large volumes of creative material easier to interpret. Rankings and image-search functionality provide additional ways to discover campaigns that might otherwise be difficult to find using conventional text queries alone.

Competitor monitoring adds another layer to the research process. PiPiADS can track advertisers, stores, products, new launches, creative changes, ad-copy adjustments, and other campaign activity. For ecommerce marketers, this can help connect a promising advertisement with the product, store, and broader advertising strategy surrounding it rather than treating the creative as an isolated piece of content.

PiPiADS consequently makes sense for teams that rely heavily on TikTok, short-form video, ecommerce creative, or fast-moving product trends. Its combination of advertising discovery and product intelligence gives it a somewhat different flavour from research platforms centred on paid search or programmatic media. Marketers looking for an active source of social video inspiration and competitor information can find a considerable amount to explore.

7. Similarweb Places Advertising Within a Wider Digital Strategy

Connecting Creative Research With Traffic and Market Intelligence

Similarweb approaches ad spying as part of a larger competitive digital-intelligence picture. Its Ad Intelligence platform covers display, social, search, and video activity, allowing marketers to investigate where competitors invest and how paid channels contribute to their wider acquisition strategies. Researchers can examine creatives, landing pages, keywords, spending trends, and related competitive information rather than analysing an advertisement without context.

This broader view can be valuable when teams need to understand media allocation. One competitor may appear heavily dependent on social advertising, while another combines paid search, display, and video more aggressively. Similarweb's benchmarking capabilities can help marketers compare channel mix, share of voice, creative strategy, and other indicators when determining how their own activity sits within the wider market.

Its advertising data also includes metrics such as estimated spend, impressions, campaigns, publishers, and performance over time. For display activity, researchers can inspect detected banner, video, and native creatives and connect them with the publishers on which campaigns have appeared. This can make Similarweb useful for strategic analysis that extends beyond deciding which visual or headline to test next.

Similarweb therefore fits marketing leaders, agencies, paid-media teams, and strategy professionals who want advertising research connected with broader competitive analysis. It is less narrowly centred on building a social-ad swipe file than some dedicated creative platforms, but that wider perspective can be valuable when campaign decisions depend on understanding an entire digital market rather than one advertising channel.

8. Dropispy Focuses on Dropshipping and Ecommerce Advertising

Exploring Product Opportunities Through Social Ad Data

Dropispy is purpose-built around the needs of dropshippers and online retailers. Its advertising research environment concentrates on ecommerce advertisements and product discovery, giving users a way to examine what competing stores are promoting and how those offers are being presented through social advertising. The company currently states that its database contains more than 50 million ecommerce ads.

The platform combines advertising discovery with filtering and market-analysis tools. Users can look for relevant campaigns, examine real-time metrics, study creative strategies, and identify advertisements associated with products showing signs of momentum. Thousands of new ads are added regularly, which is particularly useful in dropshipping categories where product cycles and creative trends can move rapidly.

A separate Shop Spy capability extends the research beyond individual ads. Marketers can investigate ecommerce stores, examine their advertising activity, and analyse competitive information around the products those stores are promoting. This gives researchers a way to connect a promising creative with the commercial context behind it, including the store and product positioning that support the campaign.

Dropispy is consequently most relevant when advertising research is closely tied to finding products and monitoring ecommerce stores. Agencies working across many unrelated industries may prefer a more general advertising-intelligence suite, while dropshippers and online retailers can benefit from Dropispy's specialised perspective. Its focus keeps the research experience aligned with the practical questions ecommerce operators frequently need to answer.

9. Atria Brings Competitive Intelligence Into an AI Creative Workflow

Connecting Competitor Research With Performance Analysis and Production

Atria takes a broader creative-operations approach to advertising intelligence. Its platform is designed for Meta and TikTok marketers and combines competitor research with creative analysis, briefing, generation, campaign launching, and performance monitoring. Rather than functioning solely as a searchable archive, it aims to make advertising intelligence one input within an ongoing system for deciding what creative a team should produce next.

Competitor information is incorporated into that workflow through capabilities designed to extract hooks, personas, landing pages, and other recurring strategic elements. Atria can combine these observations with information from a brand's own advertisements and customer research, creating a more contextual approach to ideation than simply copying interesting references into a swipe file.

Its AI creative tagging is particularly relevant for campaign analysis. Ads can be categorised according to dimensions such as persona, hook, emotion, and related creative characteristics, helping marketers look for patterns across an account rather than evaluating every advertisement individually. This can make performance discussions easier to translate into concrete creative directions for the next round of testing.

Atria will appeal most to performance-marketing teams interested in connecting competitive research with their own creative and campaign data. Its role therefore extends beyond traditional ad spying into creative operations and performance management. For marketers who already have an established research process and want intelligence closely tied to production and optimisation, its integrated approach provides an interesting alternative.

10. Semrush AdClarity Adds Cross-Channel Campaign Intelligence

Examining Spend, Publishers, Placements, and Share of Voice

Semrush AdClarity approaches competitor advertising from a broad media-intelligence perspective. The platform collects and analyses display, video, and social advertising activity across hundreds of thousands of publishers in dozens of global markets. It can consequently help teams understand not only what a competitor's ads look like but also how advertising activity is distributed across channels, publishers, formats, and markets.

Researchers can generate reports around advertisers, publishers, campaigns, and keywords. Available information includes estimated expenditure, impressions, placements, buying methods, expenditure trends, leading advertisements, leading campaigns, publishers, and share-of-voice information. Social reporting can also show activity across networks including Facebook, Instagram, TikTok, X, Pinterest, and LinkedIn.

The Top Ads and Top Campaigns views can be particularly useful when creative research needs supporting context. Advertisements can be sorted using factors such as impressions, recency, and duration, while campaign reporting can show first-seen and last-seen dates, estimated spend, impressions, and associated publishers. This provides a more analytical view than a conventional social swipe-file library.

AdClarity is therefore well suited to agencies, market researchers, media planners, and larger advertising teams that want competitive intelligence spanning several channels. Its strengths are most visible when campaign analysis involves questions about spending, placements, publishers, and media strategy. Creative teams seeking faster inspiration may choose a more visually oriented tool, while strategists can benefit from the broader competitive context AdClarity provides.

11. AdSpy Offers Deep Search Across Facebook and Instagram Advertising

Filtering a Large Social Advertising Database

AdSpy is one of the established names in dedicated social advertising research. Its platform concentrates primarily on Facebook and Instagram and maintains a substantial searchable database covering advertisers from markets around the world. The company currently reports more than 208 million advertisements and coverage across 225 countries, making its database particularly useful for broad international research.

Search flexibility has traditionally been central to the AdSpy experience. Marketers can search advertising text, advertiser names, URLs, media types, and other campaign characteristics before narrowing results through additional filters. The platform also exposes information connected with reactions and comments, giving researchers another way to investigate how audiences respond to particular creative approaches.

More specialised searches can incorporate affiliate networks, offer identifiers, landing-page technologies, ad longevity, and other characteristics. These options make AdSpy useful when researchers already have a fairly precise idea of what they want to uncover, such as advertisements using a particular technology, offer type, phrase, or campaign structure rather than general inspiration.

AdSpy consequently remains a practical option for marketers who value detailed filtering within Meta-focused competitive research. Its identity is closer to a specialised advertising database than an end-to-end creative-production system, which can be an advantage for teams that already have separate tools for briefs, analysis, or content development. For methodical Facebook and Instagram research, its search depth remains a notable quality.

12. PowerAdSpy Covers a Wide Range of Advertising Networks

Searching Social, Search, Display, Video, and Native Campaigns

PowerAdSpy offers broad advertising coverage across social media and several other paid channels. Its current platform includes Facebook, Instagram, TikTok, YouTube, Google, display, native, Reddit, Quora, Pinterest, and LinkedIn, allowing marketers to conduct research across multiple networks without limiting the process to one social ecosystem.

The search system supports queries based on keywords, advertisers, domains, niches, and other characteristics, with additional filters for factors such as geography, placement, engagement, format, and calls to action. Researchers can also inspect live advertising posts and organise useful examples through bookmarking and saved research workflows.

For display and performance advertising, PowerAdSpy can connect creatives with landing pages, destination URLs, campaign histories, and network information. Its analytics-oriented features are designed to help marketers understand how a competitor's funnel and campaign structure fit together instead of concentrating exclusively on the visible creative.

PowerAdSpy is therefore a versatile choice for marketers who operate across several paid-media environments. Its broad network coverage may be particularly useful for agencies or affiliate marketers whose clients do not rely on a single platform. Teams with a highly specialised focus may prefer tools designed specifically around their channel, but PowerAdSpy offers a convenient way to conduct varied competitive-ad research from one system.

13. Anstrex Provides Specialised Intelligence for Native and Performance Ads

Studying Native Campaigns, Publishers, and Traffic Sources

Anstrex has a strong reputation within native and performance advertising, although its wider product portfolio also covers TikTok-style instream campaigns, push ads, pop advertising, and dropshipping research. This range makes the platform useful for marketers operating beyond conventional Meta advertising and looking for competitive intelligence across traffic sources frequently used by affiliates and performance advertisers.

Its Native product provides a large library of campaign material across numerous advertising networks and markets. Researchers can investigate ecommerce, lead-generation, search-arbitrage, and affiliate campaigns while filtering results by category, network, language, video format, keywords, and other criteria. Saved searches and more advanced query options can help users repeatedly investigate a specific vertical or competitor.

Campaign-level information can reveal daily activity, landing-page URLs, publishers, advertising networks, target countries, and device targeting. These details are useful for media buyers who need to understand where a campaign is appearing and how traffic is being acquired, rather than simply viewing the headline and image used in an advertisement.

Anstrex consequently suits affiliate marketers, native advertisers, arbitrage teams, and performance specialists looking for deeper campaign mechanics. Its focus differs from creative libraries aimed primarily at mainstream social-media teams, but that distinction gives the platform a clear role. Marketers interested in traffic-source intelligence and native-ad campaign research can find considerably more depth here than in many general-purpose social ad databases.

14. BigSpy Provides Flexible Multi-Platform Ad Discovery

Browsing Competitive Creatives Across Major Social Networks

BigSpy is a familiar option in the advertising-intelligence category and is designed to help marketers browse and search large volumes of competitive creative across several advertising platforms. Rather than manually visiting one advertiser after another, researchers can use its central search environment to explore campaigns connected with particular keywords, brands, industries, products, or creative ideas.

Filtering is an important part of the experience because broad ad databases become significantly more useful when marketers can narrow the material according to their research objective. A team studying beauty, SaaS, apparel, fitness, home products, mobile apps, or another competitive vertical can focus on relevant examples instead of relying on a general feed of unrelated advertising.

BigSpy can also be useful during early-stage creative exploration. Researchers can compare multiple advertisements from the same market, observe recurring offers and visual formats, examine how advertisers change messaging, and identify concepts that appear repeatedly across competing campaigns. Those patterns can provide useful starting material for creative briefs and brainstorming sessions.

The platform therefore fits marketers who primarily want straightforward competitive-ad discovery with broad social coverage. Teams requiring deeper paid-search history, extensive publisher intelligence, or integrated AI production may prefer specialised alternatives for those tasks. BigSpy nevertheless remains a recognisable and accessible option for browsing competitor advertising and identifying creative patterns worth investigating further.

15. SocialPeta Brings Large-Scale Creative and Market Intelligence Together

Analysing Advertising Across Social, Web, and Mobile Ecosystems

SocialPeta operates at the larger advertising-intelligence end of the market. Its platform covers Facebook, TikTok, YouTube, X, Google, mobile advertising networks, and other channels, giving teams a unified environment for researching creatives across markets and platforms. The company currently describes coverage spanning more than 80 countries and dozens of advertising channels.

Creative research goes beyond finding individual advertisements. SocialPeta is designed to help users examine hooks, opening scenes, selling points, visual styles, video structures, CTA patterns, audience angles, country trends, and channel mixes. This can make large-scale competitor research easier to translate into structured creative observations rather than leaving teams with an unorganised collection of examples.

The platform also connects advertising signals with broader market information. Teams can compare competitor activity across countries and channels, watch changes in creative volume, monitor new campaigns, and investigate patterns associated with apps, games, ecommerce businesses, and other digital categories. Its real-time monitoring capabilities are designed to surface shifts in advertiser behaviour as campaigns and creative strategies change.

SocialPeta therefore makes particular sense for user-acquisition teams, mobile-app publishers, gaming companies, international advertisers, and agencies conducting research across many regions. Its scale and market-analysis orientation may be more than a small advertiser needs for occasional inspiration, but teams dealing with complex global advertising environments can benefit from the breadth of information available.

Choosing the Right Ad Intelligence Platform in 2026

The strongest ad spy tool ultimately depends on what a marketer expects competitive research to accomplish. SpyFu is compelling for historical paid-search intelligence, Minea and Dropispy bring ecommerce product research into the picture, AdPlexity and Anstrex provide specialised performance-marketing data, while platforms such as Foreplay, Atria, and SocialPeta approach creative intelligence from their own distinctive angles. Similarweb and Semrush AdClarity add broader strategic media context, and dedicated databases such as AdSpy, BigSpy, PiPiADS, and PowerAdSpy provide substantial resources for targeted campaign discovery. For marketers who want the most complete path from discovering successful advertisements through competitor analysis, organisation, and original creative development, GetHookd remains the most obvious overall choice, bringing the major stages of modern advertising research together in one practical workflow.