Readpeak
Breaking the Native Advertising Black Box Through Premium Publishers

What challenges have reduced transparency and control in modern native advertising ecosystems?

Native advertising has scaled across the open web, but transparency and measurable outcomes have not grown with it.

As programmatic buying expanded, many native campaigns began running across opaque networks and mixed-quality inventory. That shift reduced visibility for advertisers. Brands could no longer clearly see where their ads appeared or understand the results those placements delivered. Scale increased, but control weakened.

Readpeak was built to address that imbalance. The platform operates on a programmatic infrastructure while maintaining direct relationships with premium publishers, giving advertisers visibility into where campaigns run and how they perform.

Campaigns are executed on outcome-based models such as cost-per-click (CPC), cost-per-completed video view (CPCV) and cost-per-action (CPA), allowing advertisers to align media investment with measurable results, not just estimated reach.

“Advertisers don’t just gain access to premium inventory; they gain clarity and control over how their campaigns perform,” says Tomas Forsbäck, founder and CEO. “We deliver programmatic scale with transparency that enables brands to optimise continuously and focus on outcomes that drive real business impact.”

Where Publisher Quality Defines Campaign Performance

How does publisher selection influence campaign performance and brand safety in native advertising?

Every publisher is carefully vetted before being onboarded to the platform, ensuring that campaigns run within credible editorial environments. Made-for-advertising (MFA) sites are excluded to maintain a consistent standard of quality across inventory.

Readpeak builds on this foundation through direct relationships with publishers, onboarding leading national media outlets alongside niche publishers with strong authority in verticals such as automotive, fashion, finance and B2B. Working directly with publishers also allows it to provide advertisers with full transparency into where their campaigns run.

Within these environments, advertising is designed to align with the surrounding editorial experience. Readpeak’s proprietary templating technology enables this by automatically adapting each native placement to match the layout, fonts and visual structure of the publisher’s website.

The combination of contextual environment and seamlessly designed templates creates a curated advertising ecosystem where brands appear in trusted media settings. As a result, campaigns reach more relevant audiences and deliver stronger engagement.

Omni-Contextual Intelligence for Privacy-First Targeting

Why is contextual intelligence important for targeting in a privacy-first digital environment today?

Performance starts with context. Readpeak’s Omni-Contextual Targeting engine is designed to identify that context without relying on third-party cookies.
Built for a privacy-first digital landscape, the platform analyses article-level content, contextual signals, reading behaviour and campaign performance data in real time.

Combining multiple layers of data identifies the most relevant environments for each campaign while maintaining contextual relevance and brand safety.

Traditional contextual advertising focuses mainly on keywords or page categories. Readpeak goes further to integrate publisher data, campaign performance insights, reading behaviour and broader ad-tech indicators. Advertisers can also layer first- or third-party data onto campaigns, refining targeting while maintaining contextual relevance.

This approach is based primarily on content environments, ensuring campaigns remain effective in a privacy-first environment. As third-party cookies disappear, contextual intelligence allows brands to maintain relevance and scale while respecting privacy standards.

Operational Simplicity with Real-Time Control

Readpeak was built from the ground up with user experience as a priority.

Campaign creation, optimisation and performance monitoring are designed to be straightforward, allowing agencies and marketing teams to move from planning to execution without complexity. Campaigns can typically be launched in 10 to 15 minutes, reducing the time required to activate and optimise campaigns.

“Our platform does the heavy lifting behind the scenes, while advertisers remain in control, choosing what they bid for each inventory,” says Forsbäck.

The balance between automation and control allows advertisers to manage campaigns efficiently while maintaining precision at the placement level. Customer support is embedded directly into the platform through a built-in live chat, enabling advertisers to receive immediate assistance on campaign setup, performance insights and optimisation decisions. Eliminating the delays associated with ticket-based systems translates to fast response times that help maintain campaign performance.

This combination of usability, control and responsiveness allows advertisers to refine campaigns continuously at scale.

Translating Creative Scale into Business Impact

In what ways does AI-driven creative testing improve performance and brand outcomes?

A recent collaboration with the digital media company, Audible, illustrates how Readpeak’s approach translates into measurable performance. The campaign was designed to test the impact of AI-generated creatives at scale across a premium publisher environment.

Using Readpeak’s AI Ads tool, the campaign deployed 107 ad variations and 19 landing pages across 125 premium publishers. Nearly 70 percent of the creatives were generated using AI, enabling rapid testing of multiple messaging combinations within a controlled, high-quality inventory environment.

This scale of experimentation produced a clear outcome. AI-generated creatives delivered four times higher click-through rates, contributing to 53 million impressions and over 81,000 clicks. The impact extended beyond engagement. Independent brand studies conducted with Kantar reported a 12.7 percent lift in ad recall, a 17.2 percent increase in brand favourability and an 11.5 percent growth in brand awareness. The results demonstrate how combining premium environments with AI-driven optimisation can improve both performance metrics and brand outcomes within a single campaign.

Enabling Full-Funnel Native Advertising

Native advertising has traditionally been associated with mid-funnel engagement. Readpeak is evolving its platform to support the entire marketing funnel.

Brands already use the platform for upper-funnel storytelling through video formats and for lower-funnel conversion campaigns that drive measurable actions. The next step is connecting these stages through a unified data layer that helps marketers understand how audiences move through the funnel.

Full-funnel attribution capabilities provide a clearer view of how awareness, engagement and conversion activities influence one another. This reflects a growing demand from brands to understand how native advertising contributes to the entire customer journey.

Outcome-based pricing plays a central role in this model. Advertisers purchase native ads on a CPC basis and video campaigns on a CPCV model, with CPA bidding being introduced for lower-funnel campaigns. The model ensures that brands pay for defined outcomes, not just for impressions.

From Scale to Measurable Impact in Native Advertising

Readpeak’s growth reflects a broader shift in native advertising, where performance and visibility have become as important as reach. In six years, it has expanded from a single market to 13 European markets, supporting more than 2,000 brands and 600 agencies.

Expansion is extending into the U.S., where it has onboarded its first client and is engaging with leading advertisers and agencies. The market remains highly performance-driven, yet many campaigns continue to run across undisclosed inventory, which limits visibility into placements and makes outcomes harder to verify.

AI is accelerating the move toward outcome-driven advertising. Brands expect clear, measurable business results tied directly to their media investments. The expectation is reshaping how campaigns are planned, executed and evaluated.

Readpeak’s model brings these changes together by combining premium publisher environments, transparent execution and outcome-based pricing. Industry recognition as a Top Native Advertising Platform 2026 reflects this positioning, underscoring Readpeak’s role in advancing a more accountable and performance-led native advertising ecosystem.