ClikBy

AI platform creating bot-free audiences for ad retargeting

Website: https://clikby.com

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Attribute Detail
Name ClikBy
Tagline AI platform creating bot-free audiences for ad retargeting
Headquarters Barcelona, Spain
Founded 2025
Stage Pre-Seed
Business Model SaaS
Industry Other
Technology AI / Machine Learning
Geography Western Europe

Links

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Executive Summary

PUBLIC ClikBy is a pre-revenue AI platform attempting to address a core inefficiency in digital advertising, the waste from bot traffic, by building clean retargeting audiences for enterprise marketers. The company's proposition is timely, as advertisers face increasing scrutiny on media quality and return on ad spend, but its ability to execute remains unproven against a backdrop of minimal public disclosure [ClikBy, 2025]. Founded in 2025, the company operates from bases in Barcelona and Madrid, Spain, with a secondary presence in Minsk, Belarus, suggesting a distributed technical and commercial structure from inception [F6S, 2025]. Its core product, AI Selena, is described as a proprietary system that analyzes real-time data streams to filter fraudulent traffic, promising to reduce ad spend by up to 20% with over 90% interest-based accuracy [ClikBy, 2025]. The platform claims integration with major advertising channels including Google Ads, Meta, TikTok, and LinkedIn, which is a necessary table-stakes feature for any audience-building tool targeting large advertisers [F6S, 2025]. No founder names, team backgrounds, or prior funding rounds are publicly available, leaving the operational and financial runway a significant open question. Over the next 12-18 months, the key signals to track will be the disclosure of initial customer deployments, any seed funding round, and the emergence of named technical leadership to validate the proprietary AI claims.

Data Accuracy: YELLOW -- Core product claims sourced from company materials; geographic and integration details from a single directory listing.

Taxonomy Snapshot

Axis Classification
Stage Pre-Seed
Business Model SaaS
Industry / Vertical Other
Technology Type AI / Machine Learning
Geography Western Europe

Company Overview

PUBLIC

ClikBy is a recently formed marketing technology startup, incorporated in 2025 and headquartered in Barcelona, Spain [Crunchbase, 2025]. The company maintains operational presences in Madrid, Spain, and Minsk, Belarus, according to its public directory listings [F6S, 2025].

A chronological record of key company milestones is not yet established in public sources. No funding rounds, product launch dates, or customer announcements have been disclosed. The company's primary public-facing activity consists of its website and profiles on startup directories, which describe its AI Selena technology for creating retargeting audiences [ClikBy, 2025].

Data Accuracy: YELLOW -- Basic incorporation and location details are listed on multiple directories, but key milestones and team details remain unverified.

Product and Technology

MIXED ClikBy's public positioning is narrow, centering on a single, high-value promise for enterprise advertisers: the delivery of cleaned, bot-free audiences for retargeting campaigns. The company's website and directory listings describe a platform that uses proprietary 'AI Selena' technology to analyze big data streams in real-time, filtering fraudulent traffic before audience segments are delivered to advertising pixels [ClikBy, 2025]. This focus on quality over quantity is framed as a direct cost-saving mechanism, with claims of reducing ad spend by up to 20% while achieving over 90% interest-based accuracy [F6S, 2025].

Operationally, the platform's utility depends on its integrations. Public sources list connections with the major ad platforms: Google Ads, Meta (Facebook and Instagram), TikTok, and LinkedIn [F6S, 2025]. The company also states its systems are fully compliant with data privacy regulations, a necessary claim for any enterprise martech product operating in Western Europe [ClikBy, 2025]. Beyond these surface-level claims, technical architecture details, such as the specific data sources for the 'big data streams' or the machine learning models underpinning 'AI Selena,' are not disclosed. The company's careers page, which currently lists no open roles, offers no inferable technical stack details.

Data Accuracy: ORANGE -- Core product claims are sourced from the company's own website and an F6S directory listing, which are consistent but unverified by third-party technical reviews or customer case studies.

Market Research

PUBLIC The market for ad fraud detection and quality audience segmentation is expanding as digital ad budgets grow and the cost of invalid traffic becomes more visible.

Third-party market sizing for ClikBy's specific niche is not publicly available. However, the broader digital advertising fraud detection market provides a relevant analog. According to a 2024 report from Statista, the global digital ad fraud detection market was valued at approximately $5.7 billion and is projected to grow to over $10 billion by 2028 [Statista, 2024]. This growth is driven by the increasing scale of digital advertising, where global ad spend is expected to exceed $800 billion in 2025, with a significant portion flowing through programmatic channels that are vulnerable to fraud [GroupM, 2025].

Demand for solutions like ClikBy's is propelled by several key tailwinds. The shift to performance-based marketing puts pressure on return on ad spend (ROAS), making wasted spend on bots or low-quality traffic unacceptable for enterprise advertisers. Furthermore, the deprecation of third-party cookies and tightening data privacy regulations (e.g., GDPR, CCPA) are forcing marketers to seek new, compliant methods for audience building and retargeting. This creates a potential opening for AI-driven platforms that can generate high-intent audiences from first-party data signals without relying on traditional tracking.

Key adjacent markets include customer data platforms (CDPs), which aggregate and manage first-party data, and demand-side platforms (DSPs) with built-in fraud filters. While these are substitutes in part, ClikBy's positioning appears more focused on the post-click, retargeting layer, aiming to clean and enhance audience segments after initial traffic acquisition. A significant macro force is the ongoing scrutiny from major ad platforms like Google and Meta on data quality, which may incentivize advertisers to use third-party verification and cleaning tools to improve campaign performance and platform compliance.

Digital Ad Fraud Detection Market 2024 | 5.7 | $B
Projected Market 2028 | 10.1 | $B

The projected growth in the fraud detection market underscores a persistent and costly problem for advertisers. For a new entrant like ClikBy, the challenge is not market size but proving differentiation and efficacy against established, well-funded incumbents in a crowded martech stack.

Data Accuracy: YELLOW -- Market sizing is based on analogous, third-party industry reports, not company-specific TAM. The demand drivers are widely cited industry trends.

Competitive Landscape

MIXED

ClikBy enters a mature market for ad-tech and audience quality, competing on a promise of AI-driven purity rather than scale.

No named competitors were identified in the structured sources, which limits a direct, head-to-head comparison. The company's own website and directory listings position it against a broad category of alternatives: legacy retargeting platforms that rely on cookie-based tracking, generalist data management platforms (DMPs), and the manual, in-house processes of enterprise marketing teams [ClikBy, 2025] [F6S, 2025]. The competitive map can be segmented by approach. Incumbent platforms like Google's Audience Center and The Trade Desk's data marketplace offer scale and deep integration but are not optimized for the specific task of filtering fraudulent, non-human traffic. Challenger specialists in ad fraud detection, such as Pixalate or Integral Ad Science, focus on pre-bid blocking and verification but do not necessarily output the cleaned, retargetable audience segments that ClikBy promises. Adjacent substitutes include consultancies and agencies that build custom audiences through manual analysis, a service that is high-touch and expensive.

ClikBy's claimed edge rests on its proprietary "AI Selena" technology, which is said to analyze big data in real-time to filter bots [ClikBy, 2025]. This is a data and algorithmic edge, positioning the company as a pure-play quality provider. The durability of this edge is unproven. It is perishable if the underlying models are not continuously trained on unique, proprietary data streams, or if larger platforms integrate similar machine learning capabilities into their core offerings, which is a common trajectory in ad-tech. A secondary, potential edge is its stated compliance with data privacy regulations, which could be a point of differentiation in the European market where it is based [ClikBy, 2025]. However, this is a table-stakes requirement, not a durable moat.

The company is most exposed on multiple fronts. It lacks the distribution and sales reach of established platform partners. Its integrations with Google Ads, Meta, TikTok, and LinkedIn, while claimed, are table stakes for any viable player and do not constitute a channel advantage [F6S, 2025]. More critically, it is exposed to direct competition from the very platforms it integrates with, should they decide to offer a similar bot-free audience product natively. Furthermore, without disclosed funding or a named team with deep domain credibility, ClikBy faces a significant credibility gap versus venture-backed fraud detection specialists or the R&D budgets of public ad-tech companies.

The most plausible 18-month scenario hinges on validation. If ClikBy can secure a marquee enterprise customer and publicly demonstrate superior return on ad spend metrics, it could carve out a niche as a premium data-cleansing layer. The winner in such a scenario would be a platform like The Trade Desk, which could acquire the technology to bolster its own data quality narrative. The loser would be smaller, undifferentiated retargeting agencies that cannot match the algorithmic efficiency. Conversely, if ClikBy fails to gain commercial traction or prove its technical claims, it risks being subsumed by the ongoing platform consolidation, where its proposed functionality becomes a standard, low-margin feature within a larger suite.

Data Accuracy: ORANGE -- Competitive positioning is inferred from company claims and market structure; no direct competitor comparisons are available from independent sources.

Opportunity

PUBLIC

The prize for a company that can reliably deliver high-intent, bot-free advertising audiences is a multi-billion dollar slice of the digital ad fraud mitigation market, a figure that grows as ad spend itself expands.

The headline opportunity is to become the default third-party audience verification layer for enterprise ad retargeting. The company's core claim is that its AI Selena technology can filter fraudulent traffic in real-time, creating clean audience segments for platforms like Google Ads and Meta [ClikBy website, 2025]. If this technical claim is validated at scale, the outcome is not just another martech tool but a critical piece of infrastructure that sits between an advertiser's pixel and the major ad networks, ensuring budget is spent on real users. This outcome is reachable because the problem is well-documented and costly, with Juniper Research estimating ad fraud will cost businesses over $172 billion globally by 2028 [Juniper Research]. A solution that demonstrably improves return on ad spend would command a premium.

Two or three growth scenarios, each named

Scenario What happens Catalyst Why it's plausible
Platform Partnership ClikBy's audience segments become a preferred or certified data source within a major ad platform's marketplace (e.g., Google's Display & Video 360). A formal integration or technology partnership announced with Meta or Google Ads. The company already cites integrations with these platforms [F6S, 2025]. A deeper, vetted partnership would provide instant distribution to their vast advertiser bases.
Agency White-Label The technology is white-labeled and embedded into the workflows of large global media buying agencies, becoming their internal standard for audience quality. A contract with a top-10 global media agency group like GroupM or Publicis Media. Enterprise agencies are under constant pressure to improve campaign performance and justify fees; a proven fraud-filtering tool addresses a core pain point.

What compounding looks like

The core flywheel is data-driven. Each new enterprise advertiser that uses the platform contributes more traffic patterns and fraud signals to the underlying AI model. This expanding dataset improves the model's accuracy in identifying sophisticated bots and invalid traffic, which in turn improves the performance of the audiences it creates for all customers. This creates a data moat: the system becomes more valuable and harder to replicate as it scales. Early evidence of this compounding effect is not publicly available, as no customer case studies or performance benchmarks have been released.

The size of the win

A credible comparable is Integral Ad Science (IAS), a public company focused on digital ad verification and optimization. As of early 2025, IAS held a market capitalization of approximately $2.5 billion. While IAS offers a broader suite of verification services, ClikBy's focused proposition on high-quality retargeting audiences targets a specific, high-value segment of that market. If the Platform Partnership scenario plays out, ClikBy could capture a meaningful portion of this verification value, positioning it as an acquisition target for a larger ad tech player or a standalone entity with a valuation in the hundreds of millions (scenario, not a forecast).

Data Accuracy: ORANGE -- The market sizing and comparable are based on independent industry research, but the company's specific path to capturing that value relies on unverified technical claims and aspirational partnerships.

Sources

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  1. [ClikBy, 2025] ClikBy Homepage | https://clikby.com

  2. [F6S, 2025] ClikBy Company Profile | https://www.f6s.com/company/clikby

  3. [Crunchbase, 2025] ClikBy Crunchbase Profile | https://www.crunchbase.com/organization/clikby

  4. [Statista, 2024] Digital Advertising Fraud Detection Market | https://www.statista.com

  5. [GroupM, 2025] Global Ad Spend Forecast | https://www.groupm.com

  6. [Juniper Research] Digital Advertising Fraud Losses Forecast | https://www.juniperresearch.com

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